Next Article in Journal
Hepatic Transcriptome Profiling Reveals Lack of Acsm3 Expression in Polydactylous Rats with High-Fat Diet-Induced Hypertriglyceridemia and Visceral Fat Accumulation
Previous Article in Journal
The Role of Lifestyle, Eating Habits and Social Environment in the Prevention and Treatment of Type 2 Diabetes and Hypertension
Previous Article in Special Issue
Peripancreatic Adipose Tissue Remodeling and Inflammation during High Fat Intake of Palm Oils or Lard in Rats
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:

The Role of Exercise, Diet, and Cytokines in Preventing Obesity and Improving Adipose Tissue

Division of Exercise Nutrition and Metabolism, Faculty of Sport Sciences, Hacettepe University, 06800 Ankara, Turkey
Institute for Health and Sport (iHeS), Victoria University, P.O. Box 14428, Melbourne 8001, Australia
Sarcopenia Research Program, Australia Institute for Musculoskeletal Sciences (AIMSS), Melbourne 3021, Australia
Author to whom correspondence should be addressed.
Nutrients 2021, 13(5), 1459;
Received: 15 March 2021 / Revised: 20 April 2021 / Accepted: 22 April 2021 / Published: 25 April 2021
(This article belongs to the Special Issue Diet and Adipose Tissue)


The prevalence of obesity continues to rise worldwide despite evidence-based public health recommendations. The promise to adopt a healthy lifestyle is increasingly important for tackling this global epidemic. Calorie restriction or regular exercise or a combination of the two is accepted as an effective strategy in preventing or treating obesity. Furthermore, the benefits conferred by regular exercise to overcome obesity are attributed not only to reduced adiposity or reduced levels of circulating lipids but also to the proteins, peptides, enzymes, and metabolites that are released from contracting skeletal muscle or other organs. The secretion of these molecules called cytokines in response to exercise induces browning of white adipose tissue by increasing the expression of brown adipocyte-specific genes within the white adipose tissue, suggesting that exercise-induced cytokines may play a significant role in preventing obesity. In this review, we present research-based evidence supporting the effects of exercise and various diet interventions on preventing obesity and adipose tissue health. We also discuss the interplay between adipose tissue and the cytokines secreted from skeletal muscle and other organs that are known to affect adipose tissue and metabolism.

1. Introduction

According to the World Health Organization (WHO), worldwide obesity has nearly tripled since 1975 and reached a global epidemic [1,2]. In 2016, more than 1.9 billion (about 39%) adults worldwide were overweight and, among them, about 650 million (about 13%) were obese [2]. The increase in the prevalence of being overweight and obese has been attributed to an imbalance between energy intake and expenditure due to an increasingly sedentary lifestyle, and a nutritional transition to processed foods and high-calorie diets over the last 30 years [3]. Obesity is considered a multisystem chronic relapsing progressive disease process [4,5] adversely affecting almost all physiological functions of the body and leading to increased morbidity and mortality [5,6,7]. Furthermore, obesity is associated with many metabolic dysfunctions and comorbidities [8,9,10,11,12,13,14,15] that interfere with the quality of life and work productivity, and increases healthcare costs [16,17,18].
A positive association has been found between body mass index (BMI) over 24.9 kg/m² and overall mortality [6,7]. The associations are stronger at younger ages compared to older ages and the hazard ratio is greater in men than women [6,7]. Additionally, a population-based cohort study of 3.6 million adults in the UK revealed that life expectancy from age 40 years was 4.2 and 3.5 years shorter in men and women with obesity (BMI ≥ 30.0 kg/m²), respectively, than individuals with healthy weight (BMI 18.5–24.9 kg/m²) [7]. A recent study by Dai et al. [19] revealed that, in 2017, high BMI caused 2.4 million deaths and 70.7 disability-adjusted life years (DALYs) in females, and 2.3 million deaths and 77.0 million DALYs in males globally, based on the data from 195 countries and territories. The study showed that, although the age-standardized rate of high-BMI-related DALYs increased by only 12.7% for females and 26.8% for males, the global number of high-BMI-related DALYs has more than doubled for both sexes between 1990 and 2017 [19]. Cardiovascular disease was the leading cause of high-BMI-related DALYs, followed by diabetes and kidney diseases, and neoplasms, together accounting for 89.3% of all high-BMI-related DALYs [19]. In addition to morbidity and life expectancy, obesity is a major burden on the healthcare system due to both direct and indirect costs [16].
Adipose tissue is a highly metabolically active organ that performs many functions such as lipid storage, mechanical protection, thermal insulation, immune responses, endocrine functions, and non-shivering thermogenesis [20,21]. It has a substantial capacity to control its size and function in response to several internal and external stimuli including nutritional status and temperature, accordingly. It plays an important role in the regulation of systemic nutrient and energy homeostasis [20]. Although WHO defines overweight and obesity as the abnormal or excessive fat accumulation that may impair health (WHO fact sheet 2021), BMI is preferentially used to define overweight factors (BMI ≥ 25) and obesity (BMI ≥ 30) in epidemiological studies. However, BMI is not sensitive enough to differentiate the level or the distribution of adipose tissue mass. Furthermore, the percent of body fat (BF) for any given BMI value varies greatly among individuals based on age, sex, and ethnicity. In addition, for any given amount of BF, greater cardiometabolic risk has been associated with the localization of excess fat in the visceral adipose tissue (VAT) and ectopic depots (such as muscle, liver, and pancreas) [1,22]. Furthermore, the balance of hypertrophic expansion of existing adipocytes and adipogenesis within an individual profoundly affects metabolic health. Partly due to hypoxia and mechanical stress, large adipocytes are associated with impaired metabolic health while small adipocytes are associated with a reduced risk of metabolic decline [23]. Compared to small adipocytes, increased lipolysis and inflammatory cytokine secretion, and reduced secretion of anti-inflammatory adipokines have been observed in hypertrophic adipocytes [23]. Moreover, a subgroup of individuals with obesity, named metabolically healthy obese (MHO), is protected against cardiometabolic disturbances as compared to individuals with metabolically unhealthy obesity (MUO) [24,25], suggesting that adipose tissue distribution and dysfunction, rather than the amount of fat mass, are the crucial factors in the pathophysiology of obesity-related metabolic and cardiovascular diseases [24,25,26]. Furthermore, lower subcutaneous fat mass, adipocyte hypertrophy, and an impaired fat storage capacity of adipose tissue are the common features of MUO individuals [24,25], which may lead to ectopic fat deposition and inflammation in VAT [24,25]. On the other hand, MHO, which is more common among young, physically active individuals with a better nutritional status, is characterized by a lower degree of systemic inflammation and a favourable immune and liver function profile [24,25].
Given the underlying reasons for the dramatic increase in the prevalence of being overweight and obese during the last 40 years, population-based preventive strategies that improve social and physical environmental contexts for healthy eating and physical activity (PA) have been suggested. These preventive strategies require a multisectoral joint effort, including policymakers, educators, health professionals, food producers, city planners, etc. [27]. As a complex chronic disease, the management of obesity requires a holistic approach. Although pharmacotherapy and bariatric surgery are indicated with severe obesity, diet, exercise, and cognitive behavioural therapy are the primary strategies for the lifelong management of obesity [5,28,29]. Kheniser et al. [29] stated that two years of lifestyle interventions can facilitate a 5% weight loss and that, although a weight regain occurs, both diet and exercise interventions have substantial effects on obesity-associated comorbidities [5,29] and adipose tissue remodelling [30]. Moreover, both regular aerobic exercise and the consumption of a hypocaloric diet are associated with a substantial reduction in VAT and liver fat independent of age, biological sex, or ethnicity [31,32]. Although diet is more effective in reducing total body weight (BW) loss, exercise is superior at reducing VAT [32]. Furthermore, it has been reported that moderate-to-vigorous intensity of regular exercise for 4 to 6 months combined with a balanced, healthful diet resulted in a substantial decrease in VAT (15–20%) and that 5% to 10% of weight loss can be achieved with reasonable reductions in caloric intake with or without exercise [31]. Additionally, several organs secrete biochemicals in response to low caloric intake and exercise as well as several other factors, which contributes to the browning of white adipose tissue (WAT), and is, therefore, considered a potential therapeutic approach against obesity and associated metabolic dysfunctions [33]. Therefore, diet and exercise are the key components of weight loss and maintenance program.
Over the last 20 years, molecules secreted from skeletal muscle and other organs have been the focus of much research in terms of their therapeutic role as circulatory factors with effects on metabolically active tissue and organs. Some of these molecules released in response to muscle contraction have been reported to mediate some of the beneficial effects of exercise in other organs, such as the liver and the adipose tissue [34], such as browning of WAT and increasing thermogenesis and energy expenditure (EE), which make cytokines appealing therapeutic targets for metabolic diseases.
In this review, we provide an overview of the research-based evidence supporting the effects of exercise and various diet interventions on preventing obesity and adipose tissue health. The interplay between adipose tissue and the cytokines secreted from skeletal muscle and other organs that are known to affect adipose tissue was also discussed.

2. Adipose Tissue Biology: Why Our Body Is a Fat-Storing Machine?

Adipose tissue is a connective tissue mainly composed of lipid-rich cells named adipocytes [35]. It has long been believed that adipose tissue’s main function is to store energy as triglycerides while energy excess, which can then be broken down into free fatty acid and glycerol during starvation or fasting [35,36]. Since the body has a limited capacity to store glycogen, long-term imbalances between energy intake, and EE lead to a substantial increase in the amount of triacylglycerol stored in adipocytes, causing obesity [37]. Recent research has unveiled that adipose tissue also functions as an endocrine organ [38,39], which expresses and secretes factors called adipocytokines or adipokines [37,38]. Adipose tissue is a complex and essential tissue as demonstrated by the adverse metabolic consequences resulting from either excessive or deficient adipose tissue [38]. An excess of adipose tissue leads to the development of obesity and metabolic syndrome, while adipose tissue deficiency (lipodystrophy) can also cause a metabolic syndrome [40]. There are two main types of adipose tissue: WAT and brown adipose tissue (BAT). These are briefly outlined in the following section.

2.1. White Adipose Tissue

WAT generally stores excess energy in the form of triglycerides and makes up the majority of the human BF percentage (BF%) [41,42]. Additionally, the main functions of WAT are to protect organs against mechanical damage and release adipokines regulating various biological processes, including inflammatory reactions [43]. Adipose tissue accumulation around the abdominal cavity and mediastinum is referred to as VAT, whereas it can also be found in the hypodermis layer as subcutaneous adipose tissue (SAT) [44]. At a molecular level, WAT takes the form of single lipid droplets and has a limited number of mitochondria. WAT is not a static form of connective tissue, as it regularly remodels and changes its number of adipocytes depending on nutritional availability as well as hormonal signals [44]. Additionally, WAT is an endocrine organ capable of actively secreting free fatty acids and adipocytokines, which have autocrine, paracrine, and endocrine effects on other organs, such as skeletal muscles, the brain, and the liver [42]. Concretely, WAT is essential for energy homeostasis and metabolic regulation [35].

2.2. Brown and Beige Adipose Tissue

BAT, on the other hand, is mainly utilized for insulation against a cold climate. It achieves this by generating heat as a result of dissipating energy [41]. BAT is characterized by a high abundance of uncoupling protein 1 (UCP1), which is the protein responsible for non-shivering thermogenesis, along with many other genes including cell death-inducing DNA fragmentation factor-like effector A (CIDEA), PR domain containing 16 (Prdm16), and Type 2 Deiodinase (DIO2), which are all important in mitochondrial biogenesis [45]. BAT is also capable of mediating adaptive thermogenesis and, thus, contributes to the maintenance of body temperature. The role of BAT in adults has yet to be fully realized, with some studies suggesting that it may play a key role in energy homeostasis. Generally, as the BW increases with age, the amount of total BAT decreases, showing an inverse relationship between BAT and BW [41]. BAT can be found in small amounts in the neck, supraclavicular, axillar, paravertebral, perirenal/adrenal, and para-ventral regions, as well as the major vessels surrounding the heart [42]. Some studies have found that BAT can also reside in skeletal muscle tissues and even WAT [42]. At a molecular level, BAT takes the form of multiple small vacuoles and has large amounts of mitochondria [41].
More recently, another unique type of adipose tissue, beige adipose tissue, has been identified in rodents and humans [46]. Beige adipocytes are found within the WAT depots, but with similar morphology to brown adipocytes and large amounts of mitochondria [47]. In rodents, beige adipocytes can be induced by cold-exposure [48], exercise [49,50], and hypothalamic brain-derived neurotrophic factor (BDNF) [51]. To a smaller extent, beige adipocytes have been observed in humans [46], which is known to be induced by chronic exposure to peroxisome proliferator-activated receptor gamma (PPARγ) agonists [52].

3. Exercise Strategies to Prevent Obesity and Improve Adipose Tissue Health

Exercise plays an important role in human health as a non-pharmacological elixir that helps prevent obesity by increasing EE for weight loss, lower metabolic risk factors, and enhance adipose tissue health [53,54]. Exercise can be sub-categorised into two types: acute and chronic/training [55]. Acute exercise refers to one session of PA, while chronic/training includes repeated exercise sessions weekly or monthly [55]. Acute exercise and chronic training studies can demonstrate the short-term and long-term effects of exercise on the human body, respectively. Moreover, acute exercise interventions have been used to study the mechanistic adaptations to exercise. For instance, an acute bout of exercise increases blood flow through adipose tissue and fat mobilization, leading to the delivery of fatty acids to skeletal muscles, which is mainly based on the exercise intensity and metabolic requirements [37]. Furthermore, following an acute exercise, dietary fat stored in adipose tissue decreases as a result of the mobilization of fatty acids stimulated by β-adrenergic activation from adipose tissue to other tissues, such as skeletal muscle [37]. In addition, regular exercise/training is known to alter adipose tissue physiology, which results in enhanced fat mobilization during acute exercise [37]. It is, however, not fully elucidated whether the structural changes in adipose tissue are induced by exercise training or negative energy balance [37,45,56] and remain an important area of investigation. The relationship between PA and adiposity has been comprehensively investigated in longitudinal cohort studies that have documented a strong inverse association between measures of PA and measures of fat mass and distribution [57,58]. Thus, incorporating well-designed exercise training routines into a weight loss program are efficient strategies. In the following section, the effects of different types of exercise models on obesity and adipose tissue and the underlying molecular mechanisms are reviewed. The exercise studies included in the following sections are described in greater detail in Table 1.

3.1. Continuous Exercise and Adipose Tissue

Over the last 20 years, the effects of regular endurance training on adipose tissue have gained momentum and have been comprehensively investigated in numerous studies. In light of the findings of these studies, it is accepted that exercise seems to reduce fat mass, which significantly depends on the net energy deficit induced by exercise interventions. It is also noteworthy that the effect of PA without a calorie restriction diet on fat loss might be relatively small or modest [59,60]. Furthermore, a substantial energy deficit created by increased PA results in a loss of fat mass from significant depots, such as SAT and VAT. For example, an increase of daily steps from 7013 to 8840 decreased SAT and VAT as well as BF% in men with obesity [61]. Similarly, one year of training at 58% of maximal oxygen consumption (VO2max) (6 sessions/week) reduced total fat mass as well as abdominal visceral and SAT in nonobese women and men [60]. An experiment consisting of moderate to high-intensity aerobic training (3 sessions/week, 40 min/session, total distance 12 miles/week at 75% VO2max) for 8 to 9 months in individuals who are overweight and obese have reported a significant reduction in thigh SAT in both men and women who are overweight, but VAT decreased only in men [62].
Furthermore, it is well known that training studies with shorter durations exert profound effects on adipose tissue as well. For example, 24 weeks of moderate-intensity training at a low amount (LAMI, 5 days/week, 31 min/session, 50% VO2max) resulted in a decrease of waist circumference, similar to the moderate-intensity high amount (HAMI, 58 min/session) and high-intensity high amount (HAHI, 40 min/session, 75% VO2max) [63]. A follow-up study has confirmed similar reductions in total BF, SAT, and VAT among the three training groups [64]. However, there was an individual response to training in total and abdominal fat with a greater proportion of subjects “very likely” to decrease fat in the HAMI (total BF) and HAHI groups (total BF and SAT) [64]. Wilmore et al. determined the extent of changes in SAT and VAT in subjects who are overweight after 20 weeks of chronic training (3 sessions/week, at 50–75% VO2max for 30–50 min) [65]. The findings implied that males had a greater loss in abdominal SAT and VAT than females. A higher rate of decline was also seen in abdominal SAT compared to VAT [65]. A study investigated 16 weeks moderate-intensity (≤lactate threshold) and high-intensity (>lactate threshold) training in women with metabolic syndrome, but no significant changes of SAT and VAT were observed in the moderate-intensity group [66]. The high-intensity group resulted in reduced total abdominal fat, subcutaneous abdominal fat, and abdominal visceral fat [66], showing that high-intensity exercise is more effective than moderate-intensity exercise training in reducing fat storage in women with obesity and metabolic syndrome.
Furthermore, research has investigated the differences between 12 weeks of moderate-intensity (4 to 5 sessions/week, EE of 1000 kcal/week, 50% VO2max) and high-intensity (4 to 5 sessions/week, EE of 1000 kcal/week, 75% VO2max) exercise on regional fat distribution in elderly adults who are overweight [67]. The findings showed a remarkable reduction in VAT in the high-intensity group exhibited, while no change was observed in the moderate group [67]. A recent study reported that vigorous-intensity physical activities are associated with high BAT density in humans, suggesting that long-term high-intensity physical activities might positively influence BAT content [68]. Collectively, the intensity of exercise training seems to play an essential role in changing adipose tissue. Another study that aimed at revealing the effect of training on adiposity in children with obesity reported a significant decrease in BF%, total BF, and SAT mass [69], following 4 months of moderate intensity training (5 sessions/week, 40 min/day at 70–75% maximal heart rate (HRmax), equivalent to 58–66% VO2max). Similarly, with the diet controlled, 12 weeks of daily exercise (brisk walking or light jogging no more than 70% VO2max) resulted in a decrease in both SAT and VAT in men with obesity. The reduction in total fat was greater in the training group when compared with the diet-induced weight loss group (22% decrease in energy intake) [59]. Even in the exercise without a weight loss group (with 23% increase in energy intake), there was a decrease in abdominal adipose tissue and VAT [59]. Even without changes in total BW, 13 weeks of moderate-intensity training (5 sessions/week, 60 min/session, −60% peak oxygen uptake (VO2peak)) led to significant reductions in total, abdominal subcutaneous factors, and visceral fat in men with obesity with and without type 2 diabetes (T2D), as well as in the lean control group [70]. The reduction in VAT was greater in the groups with obesity and T2D when compared with the lean group [70]. Only 8 weeks of training at moderate intensities (70% VO2peak) reduced liver fat and VAT [71]. Interestingly, 45 min of training at 50% VO2max (three sessions/week) seems to be enough for these reductions, as an increase of volume (to 60 min/session, 4 sessions/week) or intensity (to 70% VO2max) did not result in further reductions [71]. Moreover, Christiansen and colleagues compared the independent and combined effects of 12 weeks of regular exercise and diet-induced weight loss on BF distribution in subjects with obesity [72]. They reported that there was a significant decrease in BW (3.5 kg) and VAT (18%) [72]. More importantly, a hypocaloric-diet and exercise resulted in a markedly higher reduction in VAT (30–37%) and BW (12.3 kg) [72], compared to the exercise group, showing a hypocaloric diet to be more effective in reducing the VAT depot, compared to exercise only. Walhin et al. reported that 3 weeks (5 sessions/week) of moderate-intensity (50% VO2max) and vigorous-intensity exercise training (70% VO2max) combined with caloric restriction (5000 kcal/week) led to similar reductions in total fat and abdominal fat mass [73]. In addition, both exercise interventions with simultaneous restricted energy intake similarly affected the expression of the lipogenic enzymes [73].
In summary, regular exercise, especially moderate to high-intensity exercise for eight weeks to one year, decreases total BF, SAT, and VAT. Furthermore, exercise training combined with a hypocaloric-diet is more effective compared to exercise intervention alone in preventing and reducing BF.

Molecular Mechanisms Underlying the Reduction in Total BF, SAT, and VAT with Exercise

In vivo studies and adipose tissue biopsies following acute and chronic exercise trials have provided mechanistic insight into the molecular mechanisms that are responsible for the reduction in total BF, SAT, and VAT in response to exercise training. For example, a single session of 30 min of continuous running at 65% VO2max was reported to increase whole-body fat oxidation during the post-exercise recovery period in young men [74]. Acute moderate-intensity continuous exercise at 45–70% VO2max increased the oxidation of total lipid and plasma fatty acid (~60%) [75] and the amount of the adipose tissue lipoprotein lipase (56%) in men [76] but not women, and increased the number of the adipose tissue progenitor cell phenotype in adults with obesity [77]. Similarly, one hour of acute exercise at 55% VO2max has been shown to modify adipose tissue mRNA and interstitial cytokine concentration in males who are overweight [78]. In addition, an increased concentration of interstitial adiponectin and interleukin (IL)-6 was detected [78], while the response at the mRNA level was different, with IL-6 mRNA increasing but adiponectin mRNA decreasing [78]. Another similar study reported increased SAT mRNA expression of vascular endothelial growth factor A (VEGFA), which is an important regulator of angiogenesis and capillary growth, in adults who are overweight/obese following acute moderate-intensity exercise at 65% VO2max [79]. Furthermore, a decrease of preadipocyte content was shown in the stromal vascular cells fraction of SAT twelve hours after sixty minutes of moderate-intensity endurance exercise in adults with obesity [77]. It was also reported that a single session of 15 min exercise at 80% VO2max has induced more than 3800 genes in adipose tissue from individuals who are or are not overweight, among them are the genes responsible for monocyte infiltration [80].
There are limited long-term training studies that have investigated the effects of exercise training on molecular mechanisms involved in exercise-induced changes in adipose tissue biology. One of these studies aimed to reveal gene expression changes in adipose tissue following 6 months of diet-induced and/or exercise-induced weight loss in postmenopausal women who are overweight/obese [81]. The authors showed that the mRNA expression of candidate genes in the SAT did not change in the intervention groups [81]. On the other hand, those participants with greater weight loss showed decreased expression of the leptin gene [81]. Finally, microarray analyses revealed the association of weight loss with adipose tissue gene expression involved in the synthesis of sex hormones in adipose tissue, whereas there was no impact of weight reduction with diet or diet plus exercise on genes related to inflammation in SAT in obese people [81], indicating that changes in energy balance following diet and/or exercise factors can have a limited impact on adipose tissue inflammation [82]. This field remains a fertile area of research in the near future. Furthermore, 12 weeks of endurance training (2 sessions/week supervised, 3 times/week home-based exercise at 50% VO2max) did not change genes involved in the control of SAT lipolysis [83] or gene expression of adipocytokines in women with obesity [84], while a decrease of plasma leptin was detected [84]. Eight weeks of exercise training (3 sessions/week, 30 min/session at 70% VO2max) reduced adipose tissue IL-18 mRNA content by 20% in obese individuals [85]. In addition, the mRNA expression of adipose tissue adiponectin and adiponectin receptors increased significantly after 12 weeks of training (3 sessions/week, 60 to 75 min/session at 70% of heart rate reserve) in obese men and women [86].
Findings on the browning of WAT in response to exercise come from both rodent and human studies. As reviewed comprehensively by Stanford and Goodyear [87] in rodents, it is well documented that exercise training can induce browning of WAT and the recruitment of brown-like adipocytes within WAT via exercise-induced cytokines such as irisin and IL-6, which triggered the interest in investigating WAT browning in humans. Current evidence has shown that eleven days of voluntary running resulted in increased expression of many beige adipocyte marker genes in rodent SAT [49]. Moreover, 30 days of swimming (90 min daily) increased expression of UCP1 and Prdm16 in mice SAT, suggesting browning of SAT by training in rodents [88]. While evidence from rodents seems promising, the reports of human studies are not very conclusive. First, it seems that the existence of brown/beige adipose tissue in adult humans is not very common and decreases with age [89]. Second, it was shown that endurance-trained athletes had a lower metabolic activity of BAT compared to lean sedentary individuals [90]. Furthermore, gene expression of classical brown and beige adipocyte markers in subcutaneous WAT, plasma irisin, and Il-6 levels during mild cold exposure were similar in trained and sedentary individuals [90]. Conversely, 12 weeks of cycling (3 sessions/week, 60 min/session at 43% to 70% VO2max) induced the mRNA expression of beige/BAT markers of UCP1, T-box transcription factor 1 (TBX1), and carnitine palmitoyltransferase-1B (CPT1B) in SAT of sedentary subjects, suggesting browning of SAT by training [91].
In summary, acute exercise interventions have shown that low-moderate-intensity exercise can increase whole-body fat oxidation, possibly by regulating adipose tissue lipolysis, gene expression of adipocytokines, or changing the cell composition of adipose tissue. However, exercise intervention may not be associated with brown and beige adipocyte recruitment in humans. Rather, endurance training can lead to the lower metabolic activity of BAT in humans. More work is needed to reveal whether particular groups or populations experience beneficial changes in adipose tissue from exercise training.

3.2. High-Intensity Interval Training and Adipose Tissue

For the management of obesity, it is recommended to be physically active such as 150 to 250 min/week or up to 60 min/day [92]. However, current epidemiological data indicate that the majority of the adult population does not meet the recommended PA guidelines mainly due to lack of time [93], and there is, therefore, a need to establish the efficacy of time-efficient doses of exercise that overcome the health risks associated with obesity with less time commitment. High-intensity interval training (HIIT) is characterized as a short period that must be performed over the lactate threshold, near VO2max, and interspersed with light exercise or rest so that extra high-intensity bouts can be performed [53,55]. HIIT is based on the Wingate test, which consists of “supra-maximal power output” [94]. A typical HIIT protocol is considered as sprint interval training (SIT), in which individuals will have to complete “all-out” several times (≥100% maximal workload capacity) performance with recovery time in between the intensive exercise sessions on a cycle ergometer [55]. Therefore, a customized low-volume HIIT protocol (near the maximal corresponding to ≥75% to <100% of maximal workload capacity effort) has been widely utilized by ample studies [95,96] and is prone to be more workable for individuals than the Wingate-based HIIT model [55].
There is robust evidence that HIIT can reduce adiposity and abdominal visceral fat despite the discrepancies available in the previous studies that are attributed to training protocols, exercise protocol, obesity status, and gender. For example, a study compared the impacts of 12 weeks (3 to 4 sessions/week) of prolonged moderate-intensity continuous training (MICT 60% VO2max) with HIIT (90% VO2max, repeated 4 min bout with 3 min recovery) on abdominal adipose tissue reduction in young women with obesity [97]. The findings showed a similar reduction in abdominal SAT and VAT in both groups [97]. Ten weeks of endurance exercise training (a combination of continuous and HIIT) improved adipose tissue insulin sensitivity. However, changes in adipose tissue composition was not reported [98]. Six weeks of HIIT (3 sessions/week, 7 × 1 min at 95–100% VO2max, with 1 min recovery), which resulted in increased skeletal muscle mitochondrial respiratory capacity, did not change BF% and reduced the mitochondrial respiratory capacity in SAT in overweight subjects [99]. Another study by Leggate et al. examined two weeks of HIIT (3 sessions/week, 10 × 4 min at 85% VO2max, 2 min rest) in sedentary males with overweight/obesity, and they found a decrease in waist circumference, as well as reductions in IL6 and fatty acid synthase content in SAT biopsies [100]. A recent experiment by Islam et al. investigated the impacts of acute high-intensity interval exercise (HIIE 10 × 4 min at 90% of HRmax, separated by 2 min recovery) on SAT and whole-body fat oxidation in women who are overweight [101]. They showed that, despite a significant increase in whole-body fat oxidation, β-adrenergic and insulin signalling in subcutaneous adnominal adipose tissue remained unchanged following acute HIIE [101], suggesting that HIIE does not alter intracellular signalling pathways controlling fat mobilization or storage in subcutaneous abdominal adipose tissue. Another study comparing the effects of 12 weeks (3 sessions/week, 6 to 10 × 60 s intervals) moderate intensity interval training (60–80% maximal workload, with 60 s of active recovery at 40 W) with HIIT (80–90% maximal workload, with 75 s active recovery at 40 W) reported an increased fat oxidation rate in sedentary women with normal weight, overweight, and obesity [102]. However, none of the training intensity affected BW, BF%, or circumferences of waist and hip [102]. A recent study by Taylor et al. compared the impacts of HIIT with MICT on VAT and liver fat reduction in patients with coronary artery disease for 4 weeks, followed by three home-based sessions/week for 11 months [103]. The authors documented that both exercise interventions reduced VAT over 3 and 12 months, while HIIT resulted in a slightly greater reduction in liver fat when compared to MICT [103]. A meta-analysis by Keating and colleagues that reviewed 28 trials with 873 participants reported that HIIT and MICT present similar benefits for eliciting small reductions in total BF [104]. In addition, it was reported that 6 weeks of SIT (3 sessions/week, 5 × 60 s at ~128% of peak power, 90 s recovery) did not alter BF% or adipose tissue mitochondrial function [105], while it resulted in a greater loss in total BF and android fat than MICT (3 sessions/week, 45–55% HRmax, for 20–30 min) cycling in young women who are overweight [94]. Two weeks of Wingate-based SIT (3 sessions/week) significantly reduced waist and hip circumference, and increased the resting fat oxidation rate in sedentary men who are overweight/obese [106]. Another study reported two weeks of Wingate-based SIT (3 sessions/week) resulted in a similar reduction in BF%, abdominal SAT, and VAT compared to MICT (40–60 min at 60% VO2max) in healthy subjects with insulin resistance [107]. Furthermore, both training interventions decreased CD26 and ANGPTL4 gene expression in SAT [107]. Finally, Cooper et al. reported no significant change in FM or abdominal VAT following 12 weeks (3 sessions/week) of SIT interventions consisting of 4 to 10 × 30 s sprint efforts in men who are overweight [108], raising further questions regarding if exercise training without caloric restriction could facilitate favourable changes in body composition and abdominal VAT.
In summary, it is apparent that interval training models improve adipose tissue despite the inconsistent and controversial findings that existed. Moreover, HIIT seems to be an alternative to MICT for reducing visceral and liver fat. More work that combines HIIT with hypocaloric diets is needed. The findings of further studies can open up new time-efficient therapeutic potential in developing new strategies for the prevention and management of obesity.

3.3. Resistance Exercise Training and Adipose Tissue

Resistance exercise training (RT) consists of various types of physical exercise that causes the skeletal muscles to contract against an external resistance [109,110] that develops the strength and size of muscles, and increases bone mass [111,112,113]. The metabolic effects of reduced muscle mass has been reported to result in a high prevalence of obesity, insulin resistance, and T2D [114,115]. Therefore, RT and subsequent increases in muscle mass are likely to reduce metabolic disease risk factors [114,116]. Although, the aerobic exercise has traditionally been recommended for preventing and managing obesity and associated metabolic risk factors [116,117], recently, RT has also been suggested to be a feasible and efficacious alternative to aerobic exercise for weight control due to its multiple therapeutic effects [114,116]. For example, the age-related decline in resting EE is closely associated with the loss of skeletal muscle mass [118], which can be reversed by RT that leads to increased muscle mass based on the training duration and intensity. However, despite no clinically important change in resting EE following RT, maintenance of muscle mass with RT helps prevent age-associated fat mass gains by promoting an active lifestyle [119].
Several studies have reported that RT can reduce FM and VAT in men [120] and women [109,121] independent of dietary caloric restriction [122]. A study that assessed body composition in older women reported significant decreases in visceral fat after 16 weeks of RT [123]. Similarly, another study investigated the effects of 16 weeks of RT combined with diet interventions on FM and VAT in middle-aged men with obesity. The findings showed that there was a 40% reduction in visceral fat in the RT combined diet group [122]. Hunter et al. showed that 25 weeks of chronic RT resulted in an improvement in fat-free mass and a reduction in BF in older males and females [124]. There was also a substantial loss of intra-abdominal adipose tissue and abdominal SAT in women but not in men who are overweight [124]. Ku and colleagues documented that 12 weeks of RT (5 sessions/week elastic band exercise) decreased SAT, which was comparable to 12 weeks of aerobic training (5 sessions/week, walking for 60 min at moderate-intensity [3.6–5.2 metabolic equivalents]) in individuals with T2D [110]. However, only RT decreased subfascial adipose tissue at the mid-thigh level [110]. Rosety et al. highlighted 12 weeks of resistance circuit training (3 sessions/week), which resulted in a reduced thickness of epicardial adipose tissue in obese women [125]. Ross et al. reported a substantial similar decrease in the volume ratio of VAT to SAT after 16 weeks of RT and aerobic training (3 sessions/week) combined with caloric restriction (reduced by 1000 kcal) in obese women [126]. Moreover, within the VAT depot, a remarkable reduction was observed for both intraperitoneal and extraperitoneal adipose tissue [126]. Slentz et al. compared the effects of high-intensity aerobic training (12 miles/week at 75% VO2max) and RT (3 times/week, 3 sets of 8–12 repetitions/set) in adults who are overweight [127]. They reported high-intensity training provided a greater reduction in VAT and total abdominal fat than RT [127], indicating high-intensity aerobic exercise to be a more effective exercise mode to reduce visceral fat.
The effects of acute resistance exercise (RE) on adipose tissue have also been investigated by a limited number of studies that documented a transient increase in adipose tissue lipolysis. For example, one study with trained men reported that acute RE (3 sets of 10 repetitions with a load at 85–100% of the individual’s 1 maximum repetition (1RM), 90 sec rest periods between all sets and exercises, for a total of 40–45 min) increased SAT lipolysis during RE, while SAT lipolysis and whole-body fat oxidation were higher immediately post RE [128]. Another acute RE (one set of 10 repetitions at 40% 1RM and three sets of 10 repetitions at 65% 1RM) study in trained women reported an increase in post-exercise whole-body fat oxidation and SAT lipolysis [129]. Chatzinikolaou et al. investigated the effect of performing 30 min of acute circuit RE (3 cycles on 10 machines selected to stress the major muscle groups, 10–12 repetitions/set at 70–75% of 1RM with 30 s rests between sets, and 2 min rests between cycles) on adipose tissue lipolysis in lean men and men with obesity [130]. The authors documented that adipose tissue triacylglycerol lipase activity was elevated by 18-fold after 5 min of exercise in lean subjects, whereas a 16-fold increase was observed 10 min after exercise in males with obesity [130]. In summary, the overall available body of literature indicates that RT with or without diet modification is an effective way to reduce BF and control obesity.

3.4. Concurrent Training and Adipose Tissue

Concurrent training (CT) is a designed exercise model involving aerobic and anaerobic metabolic pathways so that it can enhance the effects of both aerobic and RT models [131,132,133]. Although CT has been used among athletes for multiple decades to enhance performance in a variety of sports, it has recently grown in popularity [134,135]. As a combined form of endurance and strength exercise modes, CT induces changes in the cardiovascular and the neuromuscular systems, providing widespread disturbances occurring in local and systemic homeostasis that, in turn, results in remarkable adaptation in human physiology. In addition to providing traditional physiological adaptations known to be induced by traditional endurance exercise, CT can also improve body composition and health-related outcomes [132].
The effect of CT on FM and adiposity has been addressed in a variety of studies that have yielded contrasting results. These discrepancies may be partially due to potential factors known to alter one’s energy balance, such as caloric intake or EE, which were not usually considered in previous studies. Furthermore, some studies have reported a similar improvement in adiposity following CT or aerobic exercise [127,136,137], whereas other studies documented that CT elicited greater improvement [138]. For example, a one-year intervention (3 sessions/week) of aerobic (30 min of aerobic exercise at 50–70% VO2max) plus RT (30 min of RT) induced higher changes in body composition, waist circumference, and BF in adolescents with obesity rather than aerobic exercise by itself [139]. Similarly, Dâmaso and colleagues compared the effect of aerobic exercise alone or aerobic plus RT on visceral fat and its role on pro-inflammatory/anti-inflammatory adipokines in obese adolescents [138]. They reported that aerobic plus RT provided a greater reduction in visceral fat and pro-inflammatory adipokines than an aerobic training alone intervention [138], showing CT to be a more effective strategy to control central obesity in adolescents. Slentz et al. reported similar significant reductions in VAT, SAT, and total abdominal fat following aerobic plus RT (3 sessions/week, 12 miles/week at 75% VO2max plus 3 × 8–12 repetitions/set, 3 sessions/week) and aerobic training alone (3 sessions/week, 12 miles/week at 75% VO2max) in overweight adults [127]. Similarly, Monteiro et al. reported a significant reduction in waist circumferences and BF% after 20 weeks of CT (3 times/week, 60 min at 50% of 1RM, followed by 30 min at between 65% and 85% VO2max aerobic training) and aerobic training (3 times/week, 50 min of continuous exercise between 65% and 85% VO2max) [136]. Another study reported a significant reduction of waist circumference (~3%), VAT (~10%), and SAT (~10%) in obese adolescents following 16 weeks of CT (twice/week, 30–45 min/session 70–85% HRmax plus 30–45 min, 12–14 repetitions, low-heavy weights) [140]. Conversely, Norheim et al. investigated the effect of 12 weeks of CT on human abdominal subcutaneous fat in adults with normal weight and overweight [141]. The CT program consisted of two aerobic exercise sessions plus two RT exercise sessions per week. The obtained findings following the training program showed that there was no significant change in the mRNA level of PPARγ coactivator-1α (PGC-1α) of SAT, the brown-fat-selective gene Prdm16, or other known browning genes TBX1, transmembrane protein 26 (TMEM26), or tumor necrosis factor receptor superfamily member 9 (CD137) [141]. Stinkens et al. reported similar findings showing that 12 weeks of the CT program did not change abdominal subcutaneous adipocyte size, β2-adrenergic sensitivity of lipolysis, and adipose tissue gene expression of markers involved in browning and lipolysis in obese subjects [142]. Collectively, 12 weeks of CT does not seem to provide enough stimulus to induce adipocyte morphology and adipose tissue gene/protein expression in humans [142].
Taken together, it is evident that CT is a preventative and therapeutic exercise model capable of inducing similar or even superior improvement in adipose tissue and obesity to traditional endurance exercise. Given that long-term CT increases fat-free mass that results in a reduction of BF% independent of changes in fat stores, CT can be regarded as an alternative exercise mode able to decrease BF%. Health authorities should be encouraged to recommend the incorporation of CT into exercise routines. Furthermore, the effect of CT on adipose tissue morphology remains equivocal and awaits determination in further studies.
Table 1. Description of exercise studies that are presented in the exercise section.
Table 1. Description of exercise studies that are presented in the exercise section.
Continuous Exercise and Adipose Tissue
( V ˙ O2max) (mL/kg/min)
n (M/F)Duration,
Frequency, Mode
ProtocolsMain FindingsRef
1Ross et al.2000Obese males
(52/0)12 weeks, daily, brisk walking or light joggingGroup 1: Diet
(reducing total daily energy intake to 700 kcal/day)
Group 2: Exercise
(80% of HRmax until 700 kcal is expended)
Group 3: Exercise without weight loss (enough calories given to compensate for the energy expended during the daily exercise sessions)
Group 4: Control group
Reduction in total fat was greater in group 2 compared with group 1. Group 2: Substantial decreased in both SAT and VAT
Group 3: Attenuation in abdominal fat and prevented further weight gain.
2Miyatake et al.2002Obese males
(31/0)1 year follow up study, daily, walkingAn increase of daily steps from 7013 to 8840Significantly decreased in SAT, VAT, and body composition.[61]
3Racette et al.2006Healthy, non-obese adults
(18/30)1 year,
6 days/wk,
running/cycling/rowing ergometers/elliptical machines/stairclimbers
Group 1: 20% calorically-restricted diet
Group 2: Training at 58% of VO2max
Group 3: Healthy lifestyle control group
Significant reduction in fat mass, SAT, and VAT for both group 1 and 2.[60]
4Durheim et al.2008Sedentary, dyslipidemic, overweight males (~32.8 VO2peak) females
(~23.9 VO2peak)
(40/33)8–9 months,
3 days/wk,
aerobic training
Group 1: ∼20 miles/wk of jogging
(65–80% VO2max)
Group 2: 12 miles/wk of jogging
(65%-80% VO2max)
Group 3: 12 miles/wk of brisk walking
(40–55% VO2max)
Significantly reduced in thigh SAT for all three groups, but VAT decreased substantially in men only.[62]
5Ross et al.2015Abdominally obese adults
(104/196)24 weeks,
5 days/wk,
walking/jogging/treadmill training
Group 1: Training at a low-amount, moderate-intensity exercise at 50% VO2max (31 min/session)
Group 2: Training at a high-amount, moderate-intensity exercise at 50% VO2max (58 min/session)
Group 3: Training at a high-amount, high-intensity exercise at 75% VO2max (40-min/session)
Group 4: Control group
Similar reductions were resulted in total BF, SAT, and VAT in all training groups.[63]
6Wilmore et al.1999Overweight adults
(258/299)20 weeks,
3 days/wk,
Training at 55% VO2max to at 75% VO2max for 30 min to 50 min.Males had a greater loss in abdominal SAT and VAT than females. A higher rate of decline was also seen in abdominal SAT compared to VAT.[65]
7Irving et al.2008Middle-aged obese women
(~21 VO2peak)
(0/27)16 weeks,
5 days/wk,
aerobic training
Group 1: Moderate-intensity training (5 days per week at an intensity ≤ LT
Group 2: High-intensity training (3 days per week at an intensity > LT and 2 days per week ≤ LT)
Group 3: No-exercise training
No significant changes of SAT and VAT were observed in group 1, whereas group 2 resulted in reduced total abdominal fat, SAT, and VAT.[66]
8Coker et al.2009Overweight elderly adults
(9/9)12 weeks,
4–5 days/wk,
aerobic training
Group 1: Moderate-intensity (50% VO2peak)
Group 2: High-intensity (75% VO2peak)
A remarkable reduction in VAT in the high-intensity group exhibited, while no change was observed in the moderate group.[67]
9Tanaka et al.2020Healthy adults
(87/145)4 months,
walking/aerobic training
Group 1: WM
Group 2: WM + vigorous-intensity physical (VPA) activities (VWM)
VPA activities resulted in high BAT density, particularly in men. BAT-density is related to visceral fat area and VWM in men, and related to body fat percentage in women.[68]
10Owens et al.1999Obese children
(25/49)4 months,
5 days/wk,
exercising on machines and sports activities
Group 1: 40 min/day at 70–75% HRmax
Group 2: Control group
Significant decrease in BF%, total BF, and SAT for group 1.[69]
11Lee et al.2005Lean and obese male with and without T2D
(~61.2% VO2peak)
(24/0)13 weeks:
5 days/wk,
aerobic training
All participants trained for 60 min/day at a moderate intensity (∼60% VO2peak)Significant reductions in total abdominal SAT and VAT in all groups (lean and obese males with and without T2D).
Reduction in VAT was greater in the obese and T2D groups when compared with the lean group.
12Keating et al.2015Inactive and overweight/obese adults
(~22.4 VO2peak)
(17/31)8 weeks,
3–4 days/wk,
brisk walking/cycling
Group 1: Cycling and brisk walk at 50%
VO2peak for 3 days and 1 day/wk, respectively. (From 45 min in week one to 60 min by the 3rd week, totaling 180–240 min/wk)
Group 2: Cycling and brisk walk at 50%
VO2peak for 2 days and 1 day/wk, respectively. (From 30 min in week one to 45 min by the 3rd week, totaling 90–135 min/wk)
Group 3: Cycling and brisk walk at 60–70%
VO2peak for 2 days and 1 day/wk, respectively. (From 30 min in week one to 45 min at 70% VO2peak by the third week, totaling 90–135 min/wk)
Group 4: Control group
Reduction in liver fat and VAT for all three groups.
13Christiansen et al.2009Obese adults
7912 weeks,
3 days/wk,
aerobic training
Group 1: exercise
(60–75  min at 70% VO2max per training session)
Group 2: hypocaloric diet (600 kcal/day)
Group 3: hypocaloric diet and exercise
Reduction in BW 3.5 kg and VAT 18% in group 1. Higher reduction in BW (12.3 kg) and VAT (30–37%) in group 2 and 3 than group 1.[72]
14Walhin et al.2016Sedentary overweight men and postmenopausal women
(31.5 VO2max)
(24/14)3 weeks,
5 days/wk,
Group 1: Moderate intensity training (50% VO2max) with caloric restriction (5000 kcal/wk)
Group 2: Vigorous-intensity training (70% VO2max) with caloric restriction (5000 kcal/wk)
Both groups resulted similar reductions in total fat and abdominal fat mass, as well as similarly affected the expression of the lipogenic enzymes.[73]
15Islam et al.2018Active young males
(8/0)1 day,
acute session,
Group 1: 30 min continuous running at 65% VO2max
Group 2: 30 min of running at 85% VO2max
Group 3: 4 × 30 s “all-out” sprints with 4 min of rest (SIT)
Group 4: No exercise
Increased whole-body fat oxidation during the post-exercise recovery period in all exercise groups and it was greatest in group 3.[74]
16Henderson et al.2007Healthy males
(56.6% VO2peak) and females
(48.9% VO2peak)
(10/8)1 day,
acute session,
aerobic exercise
Group 1: 90 min of exercise at 45% VO2peak Group 2: 60 min of exercise at 65% VO2peakSubstantial increased for the oxidation of total lipid and plasma fatty acid in both groups.
Women was more dependent on lipid during exercise, whereas during recovery, lipid metabolism is accentuated to a greater extent in men.
17Perreault et al.2004Healthy lean males (59.4 VO2max) and females (60 VO2max)(10/10)1 day,
acute session,
aerobic exercise
Exercised at 85% LT for 90 minSignificantly increased the amount of the adipose tissue lipoprotein lipase (56%) in men but not women.[76]
18Ludzki et al.2020Obese adults
(3/7)1 day,
acute session,
aerobic exercise
Group 1: 60 min acute session at 80% HRpeak
Group 2: No acute exercise session
Increased the number of the adipose tissue progenitor cell phenotype in exercise group, as well as decreased of preadipocyte content was shown in the stromal vascular cells fraction of SAT twelve hours after exercise.[77]
19Hojbjerre et al.2007Overweight
(54.6 VO2max) and
lean males
(57.1 VO2max)
(16/0)1 day,
acute session,
aerobic exercise
Exercised for 1 h at 55% of VO2maxModification of adipose tissue mRNA and interstitial cytokine concentration in overweight males.
An increased concentration of interstitial adiponectin and IL-6, while the response at the mRNA level was different, with IL-6 mRNA increasing but adiponectin mRNA decreasing.
20Van et al.2017Overweight and obese adults that active
(51 VO2peak) and sedentary
(42 VO2peak)
(8/12)1 day,
acute session,
aerobic exercise
60 min of acute moderate-intensity exercise at 65% VO2maxIncreased SAT mRNA expression of VEGFA.[79]
21Fabre et al.2018Healthy young males (46.88 VO2max)(15/0)1 day,
acute session,
aerobic exercise
A single session of 15 min exercise at 80% VO2maxInduction of more than 3800 genes in adipose tissue from lean and overweight individuals. Among them were the genes responsible for monocyte infiltration.[80]
22Campbell et al.2013Overweight/obese postmenopausal women
(24.4 VO2max)
(0/45)12 months,
5 days/wk,
aerobic exercise
Group 1: Exercise (≥45 min of moderate-to-vigorous intensity exercise)
Group 2: Diet (reducing total daily energy intake to 1200–2000 kcal/day)
Group 3: Diet plus exercise
Group 4: Control
Compared to the control, the mean percent BF loss was: diet, −12.6%, exercise, −3.1%, diet + exercise, −13.2%[81]
23Richterova et al.2004Obese women
(0/11)12 weeks,
3 days/wk,
home-based training
Trained at 50% VO2peak at 40 minNo changed in genes involved in the control of SAT lipolysis.[83]
24Polak et al.2006Obese sedentary premenopausal women
(24.6 VO2max)
(0/25)12 weeks,
5 days/wk,
aerobic training/cycling
2 sessions/wk of supervised aerobic exercise (50% VO2max) and 3 sessions/wk of home-based exercise (cycling)No changes of gene expression of adipocytokines in obese women, while a decrease of plasma leptin was detected.[84]
25Leick et al.2007Obese and non-obese
(18/24)8 weeks,
3 days/wk,
home-based training
30 min/session at 70% VO2maxReduction of adipose tissue IL-18 mRNA content by 20% in obese individuals.[85]
26Christiansen et al.2010Obese adults
(9/10)12 weeks,
3 days/wk,
home-based training
60–75  min/session at 70% 35–40% VO2maxSignificant elevation of the mRNA expression of adipose tissue adiponectin and adiponectin receptors.[86]
27Stanford et al.2015Trained or sedentary donor mice
611 days,
Running daily inside the wheel cage.Increased expression of many beige adipocyte marker genes in rodent SAT.[49]
28Trevellin et al.20148 weeks old male mice
(36/0)30 days,
90 min of swimmingIncreased expression of UCP1 and Prdm16 in mice SAT.[88]
29Otero-Diaz et al.2018Non-diabetic adults
(14/19)12 weeks,
3 days/wk,
60 min/session at 43–70% VO2maxInduction of the mRNA expression of beige/BAT makers of UCP1, TBX1, CPT1B in SAT of sedentary subjects.[91]
High-Intensity Exercise and Adipose Tissue
( V ˙ O2max)
n (M/F)Duration,
Frequency, Mode
ProtocolsMain FindingsRef
1Higgins et al.2016Inactive overweight/obese young women
(0/52)6 weeks,
3 days/wk,
Group 1: SIT (30 s “all-out” sprints followed by 4 min of active recovery)
Group 2: moderate-intensity continuous training (MICT) at 45–55% HRmax, for 20–30-min
SIT resulted greater loss in total BF and android fat than MICT cycling.[94]
2Zhang et al.2017Obese young women
(0/43)12 weeks,
3–4 days/wk,
Group 1: prolonged MICT 60% VO2max
Group 2: HIIT (90% VO2max, 4 min bout with 3 min recovery)
Similar reduction in abdominal SAT and VAT in both groups.[97]
3Riis et al.2019Healthy young males
(43.9 VO2max)
(10/0)10 weeks,
3 days/wk,
The first session was 40 min at 70% VO2max, the second session 2 × 20 min at 80%−90% VO2max (5 min easy biking in between), and the third session was 8 × 5 min at 90–100% (1 min easy biking in between).Improvement in adipose tissue insulin sensitivity.[98]
4Dohlmann et al.2018Healthy sedentary adults
(27 VO2max)
(5/7)6 weeks,
3 days/wk,
7 × 1 min at 95–100% VO2max, with 1 min recoveryNo change for BF% in overweight subjects, whereas the mitochondrial respiratory capacity in SAT was reduced after training.[99]
5Leggate et al.2012Overweight/obese sedentary males
(12/0)2 weeks,
3 days/wk,
10 × 4 min at 85% VO2max, 2 min restDecreased in waist circumference, as well as reductions in IL6 and fatty acid synthase content in SAT biopsies.[100]
6Islam et al.2020Overweight women
(30.3 VO2peak)
(0/10)1 day,
Acute session,
HIIE: 10 × 4 min 90% HRmax, separated by 2 min recoveryβ-adrenergic and insulin signaling in subcutaneous abdominal adipose tissue remained unchanged following acute HIIE, while there was a significant decrease in the respiratory exchange ratio.[101]
7Astorino et al.2013Sedentary women
(24.2 VO2max)
(0/23)12 weeks,
3 days/wk,
Group 1: 6–10 × 60 s intervals at 80–90% peak power output, with 75 s recovery
Group 2: 6–10 × 60 s intervals at 60–80% peak power output, with 75 or 60 s recovery
Increased fat oxidation rate in sedentary (including both normal weight to obese) women.[102]
8Taylor et al.2020Coronary artery disease patients
4212 months,
3 days/wk for 4 weeks, followed by three home-based sessions/wk for 11 months,
HIIT: 4 × 4 min high-intensity interval training
MICT: 40 min of usual care
Both exercise interventions reduced VAT over 3 and 12 months, while HIIT resulted in a slightly greater reduction in liver fat compared with MICT.[103]
9Larsen et al.2015Overweight adults
NR6 weeks,
3 days/wk,
5 × 60 s at ~128% of peak power, 90 s recoveryNo alteration in BF% or adipose tissue mitochondrial function.[105]
10Whyte et al.2010Overweight/obese sedentary men
(10/0)2 weeks,
3 days/wk,
Wingate-based SIT
4 to 6 repeats of 30 s Wingate anaerobic sprints on an electromagnetically braked cycle ergometer, with 4.5 min recovery.Significant reduction in waist and hip circumference in overweight/obese sedentary men, as well as an elevated resting fat oxidation rate.[106]
11Honkala et al.2020Inactive, healthy adults with IR
(<40 VO2peak)
(28/26)2 weeks,
3 days/wk,
Wingate-based SIT
SIT:  4–6 × 30 s at maximum effort
MICT: 40–60 min at 60% VO2max
Both groups resulted in a similar reduction in BF%, abdominal SAT and VAT, as well as decreased CD26 and ANGPTL4 gene expression in SAT.[107]
12Cooper et al.2016Overweight men
(30/0)12 weeks,
3 days/wk,
SIT:  4–10 × 30 s sprint efforts with passive or active recoveryNo significant changes in FM or abdominal VAT.[108]
Resistance Exercise and Adipose Tissue
( V ˙ O2max)
n (M/F)Duration,
Frequency, Mode
ProtocolsMain FindingsRef
1Schmitz et al.2003Midlife women
(0/60)15 weeks,
2 days/wk,
The treatment group performed twice-weekly supervised strength training followed by 6 months of unsupervised training.Reduction in FM and VAT.[109]
2Ku et al.2010Women with T2D
(0/44)12 weeks,
5 days/wk,
RT/aerobic training
RT: elastic band training
Aerobic training: Walking for 60 min at moderate-intensity (3.6–5.2 metabolic equivalents)
RT resulted in a greater reduction in SAT than aerobic training, as well as only RT, which decreased subfascial adipose tissue at the mid-thigh level.[110]
3Treuth et al.1994Healthy men
(13/0)16 weeks,
16-week strength-training programReduction in FM and VAT.[120]
4Prabhakaran et al.1999Healthy, sedentary, premenopausal women
(0/24)14 weeks,
3 days/wk,
Group 1: 45–50 min RT sessions
(85% of 1 RM)
Group 2: no exercise
Reduction in FM and VAT for group 1.[121]
5Ross et al.1996Obese men
(33/0)16 weeks,
5 days/wk,
RT/RT combined with diet interventions/only diet intervention
Group 1: RT
Group 2: RT combined with diet interventions
Group 3: Diet intervention
RT group has shown a decrease in FM and VAT, whereas 40% reduction in visceral fat only observed in the RT combined diet group.[122]
6Treuth et al.1995Older women
(0/14)16 weeks,
3 days/wk,
Strength was assessed by one-repetition maximum tests, with training intensity gradually increased to approximately 67% of one repetition maximumSignificant reduction in visceral fat.[123]
7Hunter et al.2002Older adults
(14/12)25 weeks,
3 days/wk,
Training consisted of two sets of 10 repetitions at 65–80% of 1 RMImprovement in fat-free mass and a reduction in fat mass in older males and females.
Substantial loss of intra-abdominal adipose tissue (IAAT) and abdominal SAT in overweight females, but not in overweight men.
8Rosety et al.2015Obese women
(0/48)12 weeks,
3 days/wk,
resistance circuit training program
This training was circularly performed in six stations: arm curl, leg extension, seated row, leg curl, triceps extension and leg press.Reduced thickness of epicardial adipose tissue.[125]
9Ross and Rissanen1994Obese women
(0/24)16 weeks,
3 days/wk,
RT/aerobic training combined with caloric restriction
Group 1: RT
Group 2: aerobic training combined with caloric restriction (reduced by 1000 kcal)
Substantial similar decrease in the volume ratio of VAT to SAT after RT and aerobic training combined with caloric restriction.[126]
10Slentz et al.2011Overweight adults
(44/56)8–10 weeks,
3 days/wk,
RT or high-intensity aerobic training
Group 1: RT (3 times/wk, 3 sets of 8–12 repetitions/set)
Group 2: high-intensity aerobic training (12 miles/wk at 75% VO2max)
High-intensity training provided a greater reduction in VAT and total abdominal fat than RT.[127]
11Ormsbee et al.2007Trained men
(8/0)1 day,
acute session,
Three sets of 10 repetitions with a load at 85–100% of the individual’s one 1RM, 90 s rest periods between all sets and exercises, for a total of 40–45 minIncreased SAT lipolysis during RE, while SAT lipolysis and whole-body fat oxidation were higher immediately post RE.[128]
12Allman et al.2019Trained women
(0/13)1 day,
acute session,
One set of 10 repetitions at 40% 1RM and three sets of 10 repetitions at 65% 1RMİncreased in post-exercise whole-body fat oxidation and SAT lipolysis.[129]
13Chatzinikolaou et al.2008Lean men and obese males
(17/0)1 day,
30 min session,
Three cycles on 10 machines selected to stress the major muscle groups, 10–12 repetitions/set at 70–75% of one-repetition maximum with 30 s rests between sets and 2 min rests between cyclesAdipose tissue triacylglycerol lipase activity was elevated by 18-fold after 5 min of exercise in lean subjects, whereas a 16-fold increase was observed 10 min after exercise in obese males.[130]
Concurrent Training and Adipose Tissue
( V ˙ O2max)
n (M/F)Duration,
Frequency, Mode
ProtocolsMain FindingsRef
1Slentz et al.2011Overweight adults
(41/51)8–10 weeks,
3 days/wk,
aerobic plus RT or aerobic training
Aerobic plus RT: 12 miles/wk at 75% VO2max plus 3 sets of 8–12 repetitions/set
High-intensity aerobic training: 12 miles/wk at 75% VO2max
Similar significant reductions in VAT, SAT, and total abdominal fat for both groups.[127]
2Monteiro et al.2015Obese adolescents
3220 weeks,
3 days/wk,
CT or aerobic training
CT: 60 min of 50 % of RM, followed by 30 min of 65 and 85% VO2max aerobic training.
Aerobic training: 50 min continuous exercise at 65–85% VO2max
Significant reduction in waist circumferences and BF% after CT and aerobic training.[136]
3Damaso et al.2014Obese adolescents
1391 year,
3 days/wk,
aerobic plus RT or aerobic training
Group 1: aerobic plus RT
Group 2: AT
Aerobic plus RT provided a greater reduction in visceral fat and pro-inflammatory adipokines than AT alone intervention.[138]
4de Mello et al.2011Obese adolescents
(20/10)1 year,
3 days/wk,
aerobic plus RT
Aerobic (30 min of aerobic exercise at 50–70% VO2max) plus RT (3 sets, 6–20 repetitions, 90–45 s/exercise/session)Induced higher changes in body composition, waist circumference, and BF in obese adolescents than aerobic exercise only.[139]
5Davis et al.2011Obese adolescents
(0/38)16 weeks,
2 days/wk,
30–45 min/session 70–85% HRmax plus 30–45 min, 12–14 repetitions, low-heavy weightsSignificant reduction of waist circumference (~3%), VAT (~10%), and SAT (~10%).[140]
6Norheim et al.2014Overweight
(26/0)12 weeks,
4 days/wk,
aerobic plus RT
12 weeks of CTChronic training increased the mRNA level of PGC-1α of SAT by 1.2-fold and 1.6-fold in the control group and the pre-diabetes group, respectively, whereas no significant changes neither in the brown-fat-selective gene Prdm16 or other known browning genes TBX1, TMEM26, and CD137 for both groups.[141]
7Stinkens et al.2018Obese males
(21/0)12 weeks,
3 days/wk,
Aerobic exercise (30 min at 70% of maximal power output) + resistance exercise (3 × 10 repetitions at 60% of 1 repeated maximum)No significant changes in abdominal subcutaneous adipocyte size, β2-adrenergic sensitivity of lipolysis, and adipose tissue gene expression of markers involved in browning and lipolysis in obese subjects.[142]
BAT: brown adipose tissue. BF: body fat. BW: body weight. CD137: tumor necrosis factor receptor superfamily member 9. CPT1B: carnitine palmitoyltransferase 1B. CT: concurrent training. FM: fat mass. HRmax: maximal heart rate. HRpeak: peak heart rate. HIIE: high-intensity interval exercise. HIIT: high-intensity interval training. IL-6: Interleukin 6. IL-18: Interleukin 18. LT: lactate threshold. MICT: moderate-intensity continuous training. NR: not reported. PGC-1α: peroxisome proliferator-activated receptor gamma coactivator-1-alpha. Prdm16: PR domain containing 16. RE: resistance exercise. RM: repetition maximum. RT: resistance training. 1RM: 1 maximum repetition. SAT: subcutaneous adipose tissue. SIT: sprint interval training. TBX1: T-box transcription factor 1. TMEM26: Transmembrane protein 26. T2D: type 2 diabetes. UCP 1: uncoupling protein 1. VAT: visceral adipose tissue. VEGFA: Vascular Endothelial Growth Factor A. VO2max: maximal oxygen uptake. VO2peak: peak oxygen uptake. VPA: vigorous-intensity physical activities. VWM: walking and moderate physical activity + vigorous-intensity physical activities. WM: walking and moderate physical activity.

4. Diet Strategies to Prevent Obesity and Improve Adipose Tissue Health

Adipose tissue is a metabolically dynamic organ that is considered not only the primary storage site for excess energy but also an endocrine organ capable of synthesizing several biologically active compounds that regulate metabolic homeostasis [143]. Excess adiposity leads to several changes in the biology, morphology, and function of adipose tissue, such as adipocyte hypertrophy and hyperplasia, adipose tissue inflammation, and fibrosis, and impaired secretion of adipokines, contributing to the onset of obesity-related comorbidities [144]. Since one of the main causes of obesity is positive energy balance in which energy intake exceeds EE, the first approach for excess BF management and obesity prevention is the implementation of a diet combined with increased PA [145]. Although the importance of energy intake and diet composition in metabolism and energy balance have been emphasized in general [146], molecular adaptation of adipose tissue and the degree of weight loss in response to a variety of diets is still a matter of debate [147].
This section summarizes the effects of various diets on adipose tissue, body composition, and metabolism under the three main headings. Manipulation of diet composition (low-carbohydrate (CHO), low-fat, high-fat, high-protein), manipulation of timing (intermittent fasting (IF): periodic fasting, alternate-day fasting, time-restricted eating), and elimination/restriction of a specific food group (plant-based diets (PBDs), Mediterranean diet). The diet studies included in the following sections are described in greater detail in Table 2.

4.1. Manipulation of Diet Composition

There is ample evidence that supports moderate weight loss has many beneficial health effects [148]. Even though reducing energy intake and increasing EE are widely recommended for weight loss and improving body composition, there is still a continuous debate over the optimal macronutrient composition of the diet, such as low-CHO high-fat (LCHF) diets, low-fat high-CHO (LFHC) diets, ketogenic diets (KD), and high-protein diets (HPD).
Dietary CHO and excess secretion of insulin play a major role in the accumulation of BF [149,150], which is referred to as the CHO-insulin model of obesity [151]. This model suggests that a high proportion of CHO in the diet is likely to result in increased insulin secretion, which suppresses the release of fatty acids into circulation, leading to increased fat storage [152]. Furthermore, the reduced availability of fatty acids to metabolically active tissues leads to a state of cellular starvation, possibly due to an increased ratio of cellular adenosine monophosphate to adenosine triphosphate [153], resulting in an adaptive decrease in EE and an increase in food intake [149,153]. Therefore, it is speculated that the positive energy balance associated with the development of obesity is the result of an insulin-driven shift toward fat storage and a decrease in fat oxidation due to an increased proportion of dietary CHO [152]. In this context, diets that suppress the increase in blood glucose levels after eating likely provide a metabolic advantage. Thus, one of the possible effective methods of preventing or reducing the risk of the CHO-insulin model of obesity is to reduce the CHO proportion of the diet [154]. Low-CHO diets (LCDs) for decreasing BW have been known since the 1860s [155]. LCDs are based on the assumption that decreasing dietary CHO and increasing the amount of fat may reduce insulin secretion, increase fat mobilization from adipose tissue, and stimulate the oxidation of free fatty acids [152,156]. As a result, these metabolic changes eventually can lead to a decrease in hunger as well as an increase in BF loss and EE [152]. LCDs, <26% CHO of total energy intake or <130 g CHO/day, contain an average of 20 to 120 g of CHO, which can be planned as either high protein-normal fat or a normal protein-high fat diet. A varying amount of weight loss has been reported after diets with altered macronutrients composition [152,157]. A meta-analysis that included the studies with a duration of 6 months or longer dietary intervention, investigated the effects of LCDs and low-fat diets (LFDs) on weight loss [158]. The results showed that people on LCDs experienced greater BW loss (2.17 kg). Despite the sound theory of the CHO-insulin model of obesity, conflicting results have been found in clinical trials comparing LCDs with LFDs. Studies comparing the effectiveness of these two diets documented similar weight loss in both groups [152,157,159], and even more increased BF loss was reported when dietary fat was reduced rather than CHO [160]. Moreover, a meta-analysis by Hall et al. who reviewed 32 controlled studies concluded that both EE and fat loss were greater with lower fat diets when compared with isocaloric LCDs [154]. Additionally, some systematic reviews comparing the effects of LCHF diets and LFHC diets on weight control have concluded that both diets have similar effects on weight loss [161,162,163]. The effect of LCDs on adipose tissue metabolism is still controversial. Similarly, a recent systematic review [164] and meta-analysis studies [165] have documented that, although it is biologically plausible that the ingestion of dietary components can alter human BAT activity, the current level of evidence shows human BAT activity is not significantly affected by nutrition/diet. More work is needed to understand whether dietary components can exert a profound effect on human BAT that will allow us to reveal effective diet interventions able to activate and recruit human BAT.
KD is another type of LCHF diets that involves severely limiting CHO intake while maintaining moderate protein intake and consuming a minimum of 70% of energy from healthful fats [166]. KD was introduced in the 1920s to mimic the metabolism of fasting to treat epilepsy [167] and has recently gained significant momentum as a diet manipulation model for promoting weight loss and treatment of T2D [168]. Current evidence suggests that KDs, that are considered to be a safe and effective method for weight loss and improving metabolic control [169,170,171], can lead to a decrease in CHO metabolism, an increase in lipid oxidation, and an improved conversion of free fatty acids into ketone bodies [168]. In addition, it has been reported that there might be some side effects observed following KDs, such as headache, fatigue, constipation, and muscle cramps, especially in the period of adaptation to the diet [166,172]. Furthermore, a meta-analysis that investigated the association between the percentage of energy from CHO intake and all-cause mortality has reported that both low and high percentages of CHO were associated with increased mortality, and, therefore, the authors suggested that CHO intake should be 50–55% of total energy intake for minimal risk [173].
The success of an LCD is also attributed to its high protein content, rather than low CHO content [174]. HPD is a diet that has a high-fat content and at least 20% of energy derived from protein. The contribution of dietary protein to weight loss and long-term weight maintenance is attributed to the following effects: sustainment of the feeling of satiety despite a negative energy balance, maintenance of basal EE despite BW loss, and prevention of the fat-free mass loss [174]. Furthermore, HPDs are suggested to be more effective in weight loss compared to high CHO or high fat diets due to high satiating and thermogenic effects of proteins [175,176,177,178]. In contrast, some clinical trials lasting more than one year indicated no significant difference in weight loss following HPDs [179,180]. Furthermore, HPDs often contain high amounts of animal foods and saturated fat, which can have detrimental effects on cardiovascular health.
In conclusion, although LCDs have several potential benefits for the treatment of obesity, more research is required to understand their long-term effects as well as the variable effects on the endocrine control of glucose and lipid metabolism. When evaluated in terms of HPDs, although higher protein intake seems to provide beneficial effects on weight control, there are some caveats, such as increased acid load on the kidneys or higher saturated fat content of animal proteins. More research is needed to demonstrate the long-term effects of both LCDs and HPDs.

4.2. Elimination/Restriction of a Specific Food Group: Plant-Based Diets

Excess BF is an important risk factor for cardiometabolic diseases and the associated mortality [181]. Dietary composition and a high level of blood triglycerides are associated with increased BF [182]. In this regard, PBDs, defined as dietary patterns that include foods of plant origin, especially vegetables, fruits, grains, and legumes, have been suggested to have beneficial effects on blood lipids and adiposity [183]. PBDs including vegan and vegetarian diets [184], Mediterranean style diet [172], and the Nordic diet [185] usually exclude or rarely include meats, but may contain dairy products, eggs, and fish. PBDs have been associated with a reduced risk for developing chronic diseases [183,186,187,188,189]. Additionally, there is an increasing number of research studies that indicates the use of PBDs as an effective dietary approach for weight loss [184]. Furthermore, the diet content of the PBDs may be of higher quality than other energy-restricted diets [183].
Several studies have reported that PBDs may lower BMI and result in an improvement in chronic diseases [183,187]. In the Adventist Health Study-2, mean BMI was found to be highest in meat-eaters and lowest in those who avoided all animal products [190]. Similarly, a recent study showed a decrease in BMI of 4.4 kg/m2 with a six-month of PBD with no energy restrictions, compared with usual care (0.4 kg/m2), in overweight or obese individuals [191]. Potential mechanisms behind this link may involve numerous biologic pathways, including changes in satiety [192] and inflammation [186]. Furthermore, a meta-analysis showed that PBDs are associated with an improvement in obesity-related inflammatory profiles and could provide a cure for therapy and prevention of chronic disease risk [186]. It is also worth noting that some of the plant-based foods include bioactive compounds, which have anti-obesity and anti-inflammatory effects [193]. A bioactive compound is a substance that has biological activity and can improve health conditions. Fruits, vegetables, nuts, seeds, and spices are rich in bioactive compounds. Two recent reviews [194,195] have reported a strong association between the health benefits of foods containing bioactive compounds and their ability to regulate gene expression in adipose tissue, based on the clinical studies, in vivo studies, and in vitro studies. Therefore, dietary interventions that have limited adverse effects and include more bioactive food compounds might be effective strategies in preventing obesity and metabolic diseases.
Compared with diets rich in animal products, PBDs contain lower amounts of total fat, saturated fat, cholesterol, and total energy, while being rich in unsaturated fatty acids and fiber [196]. Increased dietary fiber contributes to satiety by increasing the volume of food in the stomach, decreases the energy density of the diet, and, thus, results in weight loss [197]. Furthermore, the increased dietary fiber has a cholesterol-lowering effect, as soluble fibers bind bile acids in the small intestines and increase the excretion of bile salts in the feces [198]. Therefore, a high fiber consumption, accomplished with greater adherence to a PBD, has been associated with decreased bodyweight, lower blood pressure, decreased risk of T2D, and improved blood lipids [199]. Furthermore, PBDs are rich in antioxidants (especially vitamin C and E) and exert anti-inflammatory effects [200]. In addition, vegetable proteins in PBDs are known to decrease the levels of blood lipids and the risk of obesity and cardiovascular disease, and induce hepatic fatty acid oxidation [201,202].
A study investigated whether adhering to more PBD, beyond strict vegan or vegetarian diets could help prevent adiposity in a middle-aged and elderly population [203]. In this population-based cohort of middle-aged and elderly participants, a higher adherence to a more plant-based, less animal-based diet was associated with less adiposity over time, irrespective of the general healthfulness of the specific plant and animal-based foods [203]. Similarly, Ratjen et al. [204] found that adherence to PBDs was associated with lower VAT. Furthermore, the effects of PBDs may differ according to the plant-based dietary spectrum. In this respect, Turner-McGrievy et al. [205] compared the effectiveness of five different PBDs (vegan [n = 12], vegetarian [n = 13], pesco-vegetarian [n = 13], semi-vegetarian [n = 13], or omnivorous [n = 12]) for weight loss. The results showed that the weight loss in the vegan group was significantly higher than the omnivorous, semi-vegetarian, and pesco-vegetarian groups. On the other hand, restricting or eliminating a food group from the diet can result in nutrient deficiencies, especially for pregnant or lactating women, children, and adolescents [206]. Therefore, it should be considered that some nutritional deficiencies including protein, calcium, iron, and vitamin B12 may be due to PBDs [199].
In summary, PBDs appear to reduce the risk of metabolic syndrome and are associated with lower BMI, lower concentrations of triglycerides, and total and low-density lipoprotein cholesterol. Additional research that examines the effects of PBDs on adipose tissue and obesity management for longer periods are needed.

4.3. Manipulation of Timing: Intermittent Fasting

The negative energy balance required for weight loss may be achieved by using 20–40% daily calorie restriction [145]. In recent years, a periodic and repeated energy restriction strategy, namely IF, have become increasingly popular as an alternative weight loss strategy. IF consists of abstaining from food and caloric beverages for a certain period alternated with normal eating [207]. IF strategies may differ in length and the frequency of the fasting durations. IF can be combined with exercise interventions and other diet types. The most common types of IF include periodic fasting or 5:2 diet, alternate-day fasting, time-restricted feeding, and religious fasting [207]. The main aim of fasting is to promote changes in metabolic pathways, cellular processes, and hormones [208]. The most common physiological changes observed in response to IF include improved insulin sensitivity and reduced levels of blood pressure, BF, fasting glucose, and inflammation [207,209].
Various reviews have compared the results of IF with continuous energy restriction [210,211]. One of these reviews has reported that IF led to 3–8% reductions in BW after 3 to 24 weeks and 4–14% reductions after 6 to 24 weeks in comparison to an energy restriction regimen [210]. A study comparing the effects of IF or continuous energy restriction on weight loss and metabolic disease risk markers in young, overweight women indicated that intermittent energy restriction is an effective intervention as continuous energy restriction in reducing BW [212]. Another study that also compared the effects of intermittent and continuous energy restriction on body composition and adipose tissue gene expression over 50 weeks showed that intermittent calorie restriction may be equivalent but not superior to continuous calorie restriction for weight loss [213]. In a long-term, randomized clinical trial, consisting of 6 months of a weight loss phase and 6 months of a weight maintenance phase, Trepanowski et al. [214] compared the effects of alternate-day fasting vs. daily calorie restriction on weight loss, weight maintenance, and risk indicators for cardiovascular disease in adults with metabolically healthy obesity. Findings of the study [214] revealed that alternate-day fasting and the daily calorie restriction resulted in a similar weigh loss at month 6 (−6.8% vs. −6.8%) and at month 12 (−6.0% vs. −5.3%), and that the risk factors for cardiovascular disease including blood pressure, heart rate, triglycerides, fasting glucose, fasting insulin, insulin resistance, C-reactive protein, and homocysteine concentrations at month 6 and 12 were similar in the intervention groups. However, the dropout rate was higher in the alternate-day fasting group (38%) as compared to the daily calorie restriction group (29%). The authors [214] concluded that alternate-day fasting did not produce superior adherence, weight loss, weight maintenance, or cardio-protection vs. daily calorie restriction. Results from these intervention studies concluded that these timing manipulation patterns result in weight loss, with modest and mixed effects on glucose metabolism and lipid levels.
Furthermore, it is worth mentioning that short-term side effects of fasting are dependent on the length of the fasting period and may be similar to KD, such as fatigue, headaches, and constipation [215]. Research also shows that IF can be beneficial in eating behaviours and mood among subjects who are overweight and obese, but might have harmful effects among normal weight individuals with unrestrained eating behaviours [212,215]. It is also important to consider that IF might have harmful effects on children and elderly individuals.
In summary, there is growing evidence that shows the metabolic health benefits of IF, making IF a feasible, safe, and tolerable diet model for promoting metabolic health and weight loss. In addition, current evidence shows that IF does not lead to a higher weight loss in comparison with continuous calorie restriction regimens and there are limited data regarding other clinical outcomes, such as diabetes and cardiovascular diseases. Further research is needed to determine the long-term effects of IF regimens on health in different populations.
Table 2. Description of diet studies that are presented in the diet section.
Table 2. Description of diet studies that are presented in the diet section.
Effects of Diet Composition Manipulation on Body Weight and Health
AuthorYearDietParticipantsn (M/F)DurationMain FindingsRef
1Hall et al.2016Low-CHO ketogenic isocaloric diet or high-CHO dietOverweight and obese men
Mean age: 33 ± 1.8 y
BMI: 28.8 ± 0.8 kg/m2
(17/0)4 weeks high-CHO diet
4 weeks ketogenic diet
Weight loss
KD: 2.2 ± 0.3 kg
(0.5 ± 0.2 kg from loss of body fat)
BD: 0.8 ± 0.2 kg
(0.5 ± 0.1 kg from loss of body fat)
Increase in EEchamber, sleeping EE and EEDLW, decrease in RQ compared with baseline diet
2Foster et al.2010LCD or LFD
(limiting energy intake to 1200 to 1500 kcal/d for women and 1500 to 1800 kcal/d for men, 55% CHO, 30% fat, 15% protein)
Obese adults
45.5 ± 9.7 y
BMI: 36.1± 3.5 kg/m2
(99/208)2 yearsWeight loss
LCD: −6.34 kg
LFD: −7.37 kg
Fat mass loss
LCD: −3.99 kg
LFD: −3.84 kg
Higher increase in HDL in LCD group
Similar reductions in TG, LDL, VLDL, systolic blood pressure
3Ebbeling et al.2012Isocaloric LFD (60% CHO 20% fat, 20% protein) or low-glycemic index diet (40% CHO, 40% fat, 20% protein), or VLCD (10% CHO, 60% fat, 30% protein)Overweight and obese young adults
Mean age: 30.3 ± 5.7 y
BMI: 34.4 ± 4.9 kg/m2
(13/8)Crossover design; 12 weeksHighest decreases in REE and TEE with LFD. Leptin level was highest in the LFD and lowest in the VLCD. HDL was highest in VLCD and lowest in LFD.[159]
4Hall et al.2015Isocaloric reduced fat diet or reduced CHO dietObese adults
Mean age: 35.4 ± 1.74 y
BMI: 35.9 ± 1.1 kg/m2
(10/9)5 to 7 weeksGreater weight loss and increased fat oxidation in RC diet than RF diet at the 6th day and greater fat loss (463 ± 37 g) in the RF diet compared to the RC diet (245 ± 21 g).[160]
5Dyson et al.2007LCD (≤40 g CHO/day)
or healthy-eating diet
Overweight or obese with T2DM or non-diabetic
Mean age: 52 ± 9 y
BMI: 35.1 ± 7.0 kg/m2
(8/18)3 monthsWeight loss
LCD: −6.9 kg
Healthy eating diet: −2.1 kg
No difference in changes in HbA1c, ketone, or lipid levels.
6Goday et al.2016Very low-calorie-ketogenic (VLCK) or low-calorie dietObese adults with T2DM
Mean age: 54.5 ± 8.4 y
BMI: 33.07 ± 1.56 kg/m2
(31/58)4 monthsWeight loss
VLCK: −14.7 kg
LC: −5 kg
The reduction in HbA1c and glycemic control was greater in the VLCK group.
7Harvey et al.2019VLCKD (5% CHO)
or LCD (15% CHO)
or moderate-low CHO diet (MCD) (25% CHO)
Healthy adults
Mean age: 38.9 ± 7.1 y
BMI: 27.0 ± 3.96 kg/m2
(14/25)12 weeksWeight loss
VLCKD: −4.12 kg
LCD: −3.93 kg
MCD: −2.97 kg
Similar reductions in total cholesterol, LDL, TG, and increase in HDL
8Dalle Grave et al.2013HPD (34% protein, 46% CHO) or HCD
(17% proteins, 64% CHO)
Obese adults
Mean age: 46.7 ± 11.1 y
BMI: 45.6 ± 6.7 kg/m2
(37/51)1 yearWeight loss
HPD: −18.1 kg (15.0%)
HCD: −15.9 (13.3%)
Similar reductions in TG, LDL, total cholesterol, glucose, and insulin levels and increase in HDL.
Effects of Plant-Based Diets on Body Weight and Health
AuthorYearDietParticipantsn (M/F)DurationMain FindingsRef
1Wright et al.2017Low-fat plant-based diet (7–15% total energy from fat) or controlObese, overweight, and diagnosed with at least one of T2DM, ischaemic heart disease, hypertension or hypercholesterolaemia
Mean age: 56 ± 9.7 y
BMI: 34.3 ± 1.9 kg/m2
(26/39)6 to 12 monthsSignificant reduction in BMI (4.2 kg/m2) in diet group[191]
2Thompson et al.2005Standard diet or
high-dairy diet or
high-fiber and high-dairy diet
Obese adults
Mean age: 41.4 ± 8.9 y
BMI: 34.8 ± 3.1 kg/m2
(72/0)48 weeksSimilar weight loss in all diet groups
Standard diet: 10.1 kg
High-dairy diet: 11.7 kg
High fiber and high dairy diet: 10.4
Similar fat mass loss in all diet groups
Standard diet: −7.5 kg
High-dairy diet: −9.0 kg
High fiber and high dairy diet: −8.5 kg
Similar increase in HDL and reductions in total cholesterol, LDL, fasting glucose and insulin, leptin, hs-CRP
3Turner-McGrievy et al.2015Vegan
Overweight or obese adults
Mean age: 48.74 ± 7.5 y
BMI: 34.96 ± 5.2 kg/m2
(17/46)6 monthsWeight loss
Vegan: −7.5%
Vegetarian: −6.3%
Pesco-vegetarian: −3.2%
Semi-vegetarian: −3.2%
Omnivorous: −3.1%
Effects of Intermittent Fasting on Body Weight and Health
AuthorYearDietParticipantsn (M/F)DurationMain FindingsRef
1Varady et al.2009Alternate day fasting
(Fast day: 25% of energy needs, alternated day: ad libitum food intake)
Obese adults
Mean age: 46.0 ± 2.4 y
BMI: 33.8 ± 1.0 kg/m2
(4/12)10 weeksWeight loss
−5.6 ± 1.0 kg
Body fat percent decreased from 45 ± 2% to 42 ± 2%
Significant decreases in total cholesterol, LDL,
TG, and blood pressure
2Harvie et al.2011IER
(∼2710 kJ/day for 2 days/week) or
CER (∼6276 kJ/day for 7 days/week)
Overweight or obese premenopausal women
Mean age: 40.05 y BMI: 30.6 ± 5.1 kg/m2
(0/107)6 monthsWeight loss
IER: −6.4 kg
CER: −5.6 kg
Similar reductions in hs-CRP, leptin, total cholesterol, LDL, TG, and blood pressure. Reductions in fasting insulin and insulin resistance in both groups greater in the IER group.
3Schübel et al.2018ICR (5:2, weekly energy deficit ∼20%) or CCR
(daily energy deficit ∼20%)
or control group
Overweight and obese adults
Mean age: 50.2 ± 8 y
BMI: 31.4 ± 3.8 kg/m2
ICR: n: 49
CCR: n: 49
Control: n:52
50 weeksWeight loss
ICR: −5.2% ± 1.2%,
CCR: −4.9% ± 1.1%
Control: −1.7% ± 0.8%
Similar reductions LDL, HDL, cholesterol, TG, insulin, HOMA-IR levels, and adipokines (adiponectin, leptin)
BMI, body mass index. CER, continuous energy restriction. CCR, continuous calorie restriction. CHO, carbohydrate. EE, energy expenditure. EEDLW, energy expenditure measured by doubly labeled water. HCD, high-carbohydrate diet. HDL, high-density lipoprotein. hs-CRP, high sensitivity C-reactive protein. HPD, high-protein diet. ICR, intermittent calorie restriction. IER, intermittent energy restriction. LCD, low-carbohydrate diet. LDL, low-density lipoprotein. LFD, low-fat diet. REE, resting energy expenditure. TEE, total energy expenditure. TG, triglyceride. T2D, type 2 diabetes. VLCD, very low-carbohydrate diet. VLCK, very low-calorie-ketogenic. VLCKD, very low-carbohydrate ketogenic diet. VLDL, very low-density lipoprotein.

5. Cytokines That Burn Our Fire: Are They the Cornerstones of Obesity Treatment for the Foreseeable Future?

PA has been the cure for a healthy life and longevity since ~450 BC [216]. In the 1960s, with the technological advancements, the first scientific papers began publishing and provided mechanistic insight into how acute or chronic exercise could make a remarkable and paradigm shift in human physiology [217,218,219]. Although the existing literature attributes the health benefits of PA to reduced adiposity, increased cardiorespiratory fitness, reduced levels of circulating lipids, and the maintenance of muscle mass [220], the exact molecular mechanisms by which PA promotes human health is not fully elucidated. Moreover, over the last 20 years, considerable attention has been given to the interaction between skeletal muscle and the beneficial effects of exercise on health and compelling scientific evidence has proven that skeletal muscle is an endocrine organ in which various cytokines and peptides termed “myokines” are secreted. These molecules play a major role in the disease-preventative effects of regular PA [34]. Furthermore, it is well documented that proteins, peptides, enzymes, and metabolites released from other organs exert profound effects on several tissues including adipose tissue and skeletal muscle, and physiological functions, such as insulin sensitivity and glucose disposal. In this section, we will discuss some of these cytokines that have an important role in the therapeutic effects of exercise in the prevention of obesity. Potential role of exercise-induced myokines on browning of white adipocytes, energy expenditure, fat mass, mitochondrial biogenesis, and insulin sensitivity are presented schematically in Figure 1.

5.1. Brain-Derived Neurotrophic Factor

As a member of the neuro-trophin family, BDNF is a small, basic protein expressed in the brain [221] and, to a lesser extent, in skeletal muscle [222]. BDNF plays a primary role in the regulation of neuronal development, growth, and maintenance of neurons and modulates synaptic plasticity in the central nervous system (CNS) [223]. In addition to the essential role of BDNF in the CNS, it is involved in the control of BW, energy homeostasis, and EE in mice [224]. For example, obesity phenotypes, hyper-insulinaemia, and hyperglycemia were observed in mice with the BDNF gene deleted in excitatory neurons in the brain [225] and reduction in BDNF activity was shown to lead to abnormalities in eating behaviour [226], indicating a novel function of BDNF for energy homeostasis. In agreement with this finding, Lyons et al. reported that mice with global deletion of BDNF gene had, on average, 34% higher BW due to increased BF content as the primary cause and consuming 25% more food than their wild-type littermates [227]. Similarly, Yong et al. revealed that deleting the BDNF gene in the adult ventromedial hypothalamus resulted in significant hyperphagia and obesity in mice [228]. In support of this, Wang et al. showed that administration of BDNF in the hypothalamic paraventricular nucleus (PVN) plays an essential role in the regulation of energy metabolism, reduces BW due to a decrease in food intake, and an increase in EE [229], showing a novel role for BDNF in the PVN and the components of energy balance. Collectively, ample evidence suggests the key role of the BDNF gene in obesity. Furthermore, similar to exercise [230,231,232,233], central and peripheral exogenous BDNF treatments are known to decrease food intake, increase EE, reduce body weight, ameliorate hyper-insulinaemia, and hyperglycemia in mice [226,227], partly by inducing UCP1 gene expression reported to increase in BAT by 53.3% following administration of BDNF [229]. In addition, Cheng et al. reported that BDNF stimulated PGC-1α-dependent mitochondrial biogenesis, as indicated by increases in mitochondrial mass and upregulation of PGC-1α promoter activity and transcription and expression of PGC-1α [234]. These findings show that BDNF seems to be a therapeutic adjunct in the treatment of obesity. In humans, evidence-based research has revealed that the systemic level of BDNF is lower in obese people and T2D when compared to healthy individuals [235,236]. This case was also reported to impair glucose metabolism [235].
There has been growing interest in the effects of exercise on BDNF and in the role of BDNF in therapeutic effects of exercise since the elegant study of Neeper et al. reported for the first time that exercise increased BDNF gene expression in specific brain regions [237]. In the following years, it was reported that exercise can increase BDNF levels in rats [238] and humans [222]. A meta-analysis that reviewed 29 published papers showed that aerobic but not RT can increase resting BDNF concentration in peripheral blood in humans independent of exercise duration, intensity, and session time [239]. Another meta-analysis by Szuhany et al. showed that a single session of exercise can result in increased BNDF concentration in humans [240], suggesting acute exercise-induced upregulation of BDNF through which exercise is likely to improve cognitive function. Importantly, considering the lack of central function of BDNF leads to obesity [225], exercise intervention that results in increased BDNF should be encouraged to prevent obesity for all age groups. A study by Matthews et al. aimed to determine the signalling processes of BDNF following exercise intervention in humans, and reported that BDNF is an exercise-inducible protein that increases lipid oxidation in skeletal muscle by activating AMP-activated protein kinase (AMPK) [222], which is an important molecule in energy homeostasis [241]. However, since significant amounts of muscle-derived BDNF was not released into the circulation following exercise [222], it is tempting to speculate that there must be other sources responsible for the increased BDNF following exercise. For example, it has recently been shown that an exercise-induced increase in BDNF in the mouse brain is mediated by PGC-1α known to increase in response to exercise [242]. Moreover, platelets that are known to store BDNF and release it upon agonist stimulation are another alternative source of enhanced BDNF in the periphery following exercise, as shown in humans [243].
In summary, when BDNF was first discovered, its role in cognitive functions was emphasized in particular. In the following years, it was shown that BDNF is also an important regulator of metabolism. Although there has been some encouraging progress to unravel the mechanism through which BDNF affects energy metabolism, we are still far from a complete understanding of the role of BDNF in metabolism. Therefore, the essential function of BDNF in metabolism and exercise-induced changes in BDNF in the brain and skeletal muscle seem to be a fertile area of research for preventing and treating obesity. Further studies that reveal the relationship between BDNF and other molecules involved in metabolism and adipose tissue are also warranted.

5.2. β-aminoisobutyric Acid

β-Aminoisobutyric acid (BAIBA) is a nonprotein β-amino acid identified for the first time in human urine in 1951 [244], which is a recently discovered small myokine produced and secreted by skeletal muscle, as shown both in mice and human [245], and exerts either paracrine or endocrine effects to alter the physiological functions of target tissues [246]. BAIBA has two enantiomers in biological systems as R-BAIBA (D-BAIBA) and S-BAIBA (L-BAIBA) [247] and the total amount of BAIBA in human plasma was shown to consist of 98% R-BAIBA and only 2% S-BAIBA [248]. Studies that aimed to reveal the effects of BAIBA on metabolism showed that BAIBA is a myokine controlled by PGC-1α and acts in a myokine-specific manner [245], explaining lower plasma BAIBA in individuals with advanced age than young subjects [249].
Both animal and human studies suggest that BAIBA increases fat oxidation, reduces fat mass, improves glucose homeostasis, and prevents diet-induced obesity. In this regard, Begriche and colleagues showed that BAIBA significantly prevented diet-induced obesity, glucose intolerance, and hypertriglyceridemia in mice treated with BAIBA [250]. Another finding of this study was that BAIBA mediated its function through a leptin-dependent stimulation of mitochondrial fat oxidation [250]. Furthermore, chronic administration of BAIBA was reported to be an effective way to reduce fat mass [245], inducing browning of white fat tissue by increasing the expression of brown adipocyte-specific genes [245] and fat oxidation [251]. More recently, a pioneering study by Robert et al. documented that BAIBA markedly induced the gene expression of the mitochondrial UCP1 and mitochondrial biogenesis transcription coactivator PGC-1α [245] associated with BAIBA-induced fat loss. These effects of BAIBA were mediated via peroxisome proliferator-activated receptor alpha (PPARα), which plays a primary role in increasing fat oxidation and BAT metabolism [245]. Furthermore, BAIBA increased liver fatty acid oxidation and decreased hepatic lipogenesis by activating the transcription factor PPARα [252], improving insulin sensitivity and protecting against a high-fat diet-induced obesity [247,253,254]. This indicates the role of BAIBA in hepatic lipid metabolism and reduces risk of diabetes. More work is needed to reveal how BAIBA has a direct action on insulin signalling. Moreover, it has recently been reported that BAIBA can function as an osteocyte protective factor against mitochondrial degradation due to reactive oxygen species and reduce bone and muscle loss, resulting in hindlimb unloading [255]. Emerging evidence shows that BAIBA leads to increased hepatic fat oxidation and mRNA levels of the carnitine palmitoyltransferase 1 in hepatocytes, a rate-limiting β-oxidation enzyme [256], which resulted in reduced fat mass in human [251], showing a key role of BAIBA in reducing adipose tissue in humans as well.
Furthermore, BAIBA is generated by catabolism of the branched-chain amino acid valine that is mainly used in skeletal muscle [245], and catabolism of the branched-chain amino acids are elevated during exercise [257]. These findings are supported by research reporting that regular exercise increases circulating levels of BAIBA in previously sedentary and healthy subjects [245,248]. This increase is inversely associated with cardiometabolic risk factors in humans [245,247], suggesting that exercise-induced circulating BAIBA may play a role in the treatment of metabolic diseases. For example, Stautemas et al. investigated how an acute session of moderate-intensity exercise would affect the enantiomers of BAIBA [248]. They reported that R-BAIBA and S-BAIBA increased following 30 min of cycling, indicating BAIBA to be an acute exercise-induced molecule [248]. Similarly, Robert et al. showed a 20% increase in plasma BAIBA concentration in mice with access to the working wheel and a 17% chronic elevation following 20 weeks of aerobic exercise in sedentary and healthy subjects [245]. In addition, Short et al. reported that 16 weeks of aerobic exercise training resulted in a 29% greater increase in BAIBA levels in the normal-weight individuals compared to the individuals with obesity [258].
In summary, BAIBA as PGC-1α-mediated and exercise-induced myokine seems to be a mechanistic component of the well-known protective role of exercise against the development of metabolic diseases including obesity.

5.3. Interleukin-6

IL-6 is a cytokine that is not only secreted by immune cells during inflammatory states [259] but also released by adipose tissue and by the working skeletal muscle during exercise [260] in the absence of inflammation. The elevated number of M1 macrophages in WAT with obesity is accepted as the main source of IL-6 [261]. A chronic, low-level increase in basal levels of plasma IL-6 is associated with obesity [262], physical inactivity [263], insulin resistance [264], T2D [265], and cardiovascular diseases [266]. Furthermore, the IL-6 level was reported to elevate in individuals with obesity and positively associated with a waist-to-hip ratio and BMI [267], and decrease with weight loss [262]. On the other hand, muscle-derived IL-6, which is the first myokine found to be secreted into the bloodstream in response to muscle contractions [260], is an important player implicated in the regulation of lipid homeostasis and energy metabolism [268,269].
The concentration of circulating IL-6 can increase up to 100-fold during acute exercise and consistently declines in the recovery period [270,271,272] in the absence of muscle damage, depending on the intensity and duration of exercise, in particular. Evidence-based research shows that muscle cells are the main but not the sole source of the increase in IL-6 during exercise [273]. Despite the studies showing the internal jugular vein [272] and adipose tissue [274] that may contribute to the IL-6 response in the circulation following exercise, other sites are not yet fully determined. Moreover, several pieces of evidence show that there is a negative association between the amount of PA and resting plasma IL-6 levels [269], while physical inactivity and metabolic syndrome are associated with high basal plasma levels of IL-6. Moreover, endurance training reduces basal levels of IL-6 and the exercise-induced increase in plasma IL-6 and muscular IL-6 mRNA levels [269].
Until the beginning of this millennium, this significant increase in IL-6 response was first thought to involve muscle damage in the working muscles and that the macrophages were responsible for this increase [271]. In the following years, however, it was reported that there was a marked increase in intramuscular IL-6 mRNA expression and protein when intramuscular glycogen levels were low, indicating that IL-6 might be an energy sensor during exercise [34,269]. This notion was supported by numerous studies reporting that exercise-induced increase in plasma IL-6 and release from contracting skeletal muscle in humans attenuated during exercise following glucose ingestion [269]. IL-6 has also been linked to obesity and glucose metabolism. An elegant study by Wallenius et al. showed, for the first time, that IL-6-deficient mice developed mature-onset obesity and glucose intolerance [275]. Moreover, when the transgenic mice were treated with IL-6 for ~3 weeks, BW significantly decreased [275]. In addition, acute administration of rat L6 muscle cells in vitro with IL-6 increases basal glucose uptake, the translocation of the glucose transporter glucose transporter 4 (GLUT4), insulin-stimulated glucose uptake in muscle cells, lipolysis, and fatty acid oxidation [276]. Taken together, IL-6 is a therapeutic target for the treatment and prevention of obesity.
These effects of IL-6 arose via AMPK, as the results were not evident in cells infected with a recombinant expressing dominant-negative AMPK [276]. Furthermore, infusion of recombinant human IL-6 into healthy individuals was reported to increase lipolysis without changing catecholamines, glucagon, or insulin and no adverse effects were observed [277]. Several studies have also reported that IL-6 is a substance capable of increasing intramyocellular [276] or whole-body fatty acid oxidation [259] via AMPK [278]. Petersen et al. questioned if IL-6 would exert direct effects on both lipolysis and fatty acid oxidation [277]. To address this, the authors conducted cell culture experiments and reported that infusion of IL-6 activated lipolysis in patients with T2D and healthy individuals [277], suggesting IL-6 as a lipolytic factor. Similarly, Khan et al. showed that infusion of IL-6 into healthy humans at a physiological level markedly induced lipolysis in skeletal muscle, but there was no change in adipose tissue [279]. These findings show that IL-6 exerts its profound lipolytic effect in the muscle. Moreover, infusion of recombinant human IL-6 into healthy individuals during a hyper-insulinaemic clamp was shown to enhance whole-body insulin sensitivity [276].
In summary, IL-6 has beneficial effects on metabolic functions. Compelling evidence shows that IL-6 increases EE, lipolysis, fat oxidation, and endogenous glucose output, which are all associated with insulin action and substrate homeostasis. Furthermore, activation of AMPK by IL-6 plays an essential role in modulating some of these metabolic effects induced by IL-6. Considering that the increase in IL-6 level, especially observed in response to exercise, reduces adipose tissue, IL-6 may be a target peptide in the prevention of obesity. Taken together, it is clear that IL-6 is a cytokine that possesses great importance for metabolic health.

5.4. Interleukin-15

IL-15 is a highly expressed cytokine in muscle cells and, to a lesser extent, in multiple types of cells such as macrophages, fibroblasts, epithelial cells, keratinocytes, astrocytes, and bone marrow stromal cells [280,281]. The expression of IL-15 varies depending on the activity of the cell in which it is expressed. IL-15 expression is induced by nuclear factor kappa B (NF-kB) activators in macrophages [282], and by exercise intervention in muscle myotubes [283], making IL-15 an exercise-induced myokine. However, it is incompletely understood whether circulating IL-15 is released from skeletal muscle tissue in response to exercise or other physiological stimuli. In addition to IL-15, the IL-15 receptor-alpha (IL-15Rα) subunit is a primary binding partner of IL-15 and has complex biochemistry able to modulate IL-15 secretion and bioactivity. A study by Bergamaschi has documented that IL-15 was rapidly degraded immediately after synthesis, when the expression of IL-15Rα was blocked [284], showing the primary role of IL-15Rα in efficient IL-15 production. Moreover, IL-15 and IL-15 receptor subunit alpha (IL15RA) that encodes IL-15Rα were reported to be associated with increased adipocyte size and T2D [285].
Recently, IL-15 has attracted much attention from researchers due to its role in increasing EE and improving insulin sensitivity. These novel roles of IL-15 are associated with the endocrine roles of the myokines in metabolism [34]. Accumulating evidence has shown that overexpression of IL-15 is associated with brown fat function, reduced adiposity, and improved insulin sensitivity through weight loss and increased EE [286], suggesting IL-15 to function as a myokine able to mediate its effects on different tissues. Moreover, IL-15 is also known to enhance fat oxidation [287], glucose uptake [288], and myogenesis in skeletal muscle. In addition, circulating IL-15 has been reported to reduce lipid synthesis in preadipocytes in vitro and WAT in rats [289]. Furthermore, in humans, the plasma IL-15 level was shown to reduce BW [290] and be negatively associated with total fat mass, trunk fat mass, and percent fat mass in individuals with or without obesity [290], indicating a novel role for IL-15 in regulating fat mass and adiposity. In support of this finding, Alvarez et al. reported that acute injection of recombinant IL-15 into rodent genetic obesity models inhibited fat deposition in both wild-type and leptin-deficient obese mice [291]. Conversely, mice with the IL15 gene deleted in cultured adipocytes showed higher amounts of BF than control mice [292], whereas transgenic mice with elevated circulating levels of IL-15 had lower levels of BF and were resistant to diet-induced obesity [286]. Moreover, it was reported that people with T2D had lower circulating IL-15 levels compared with body-weight-matched healthy controls [293,294]. Some research, however, has documented that IL-15 remained unchanged by insulin resistance [290] and people with T2D exhibited higher serum IL-15 than healthy controls [294]. It is, however, necessary to denote here that PA, adiposity, and age that may alter circulating IL-15 levels are not controlled in these mentioned studies, necessitating further studies able to consider confounding factors.
In recent years, there has been increasing interest in the role of IL-15 in the beneficial effects of exercise. Numerous studies have been conducted to address this. Yet, there is no clear consensus on whether acute or chronic exercise intervention can alter mRNA, protein, and circulating level of IL-15. For example, circulating IL-15 levels showed a transient increase following acute RE [295], but did not change with training [295]. Nielsen et al. investigated the effects of an acute heavy RE session on a leg press machine and then on a knee extensor machine [296]. They reported upregulation of IL-15 mRNA at 24 h of recovery following the exercise session and the IL-15 mRNA levels returned to pre-exercise levels 48 h after the end of the exercise, whereas muscle IL-15 protein content and plasma IL-15 concentrations were similar between pre-exercise and 6, 24, and 48 h post-exercise [296]. Notably, the authors also showed, for the first time, that IL-15 mRNA levels were higher in the triceps compared to the soleus muscle, showing that RT-induced change in IL-15 mRNA levels may be observed specifically in type 2 fibres.
Some research has focused on the effects of acute and chronic endurance training on IL-15 levels. For example, 30 min, 60 min, or 2 h of moderate intensity running or cycling exercise resulted in a relatively transient increase in serum IL-15 levels measured 10, 30, and 120 min after the end of the exercise in lean individuals and those with obesity [283,297]. However, Rinnov et al. and Ostrowski et al. found no change in circulating IL-15 levels following 2.5–3 h of aerobic exercise at ~60–75% of VO2max [298,299], but there was a 40% increase in basal skeletal muscle’s IL-15 protein content following 12 weeks of regular endurance training (5 days/week) [298] with no change in either muscle IL-15 mRNA or plasma IL-15 levels. In contrast, Pérez-López et al. reported reduced IL-15 level in individuals with or without obesity, who were engaged in regular PA (3 days/week) for one year [294]. While it is difficult to discern the reasons for this absence of increased IL-15 following acute exercise, the timing of the blood sampling may be important in detecting the exercise response, especially when considering that the half-life of free IL-15 is about 30–60 min [280,300]. Therefore, studies that measured IL-15 not immediately after exercise but >60 min after exercise are likely to miss the peak of IL-15 increase.
In summary, the molecular mechanism of IL-15 action is not fully uncovered in the regulation of energy metabolism. However, current evidence shows IL-15 to play an essential role in adiposity and EE, making IL-15 one of the novel targets for pharmacologic control of obesity. In addition, the effect of exercise on IL-15 is largely unresolved and awaits determination whether it varies in different types of contractions/exercise.

5.5. Irisin

Adipose tissue and skeletal muscle are endocrine organs capable of secreting many bioactive molecules [231]. Molecules secreted from skeletal muscle are called myokine and molecules secreted from adipose tissue are called adipokine [301]. Accordingly, hormones secreted from both are called adipo-myokine [302]. As an adipo-myokine, irisin secreted from adipose tissue is only 5% of the level of irisin secreted from the skeletal muscle [141]. Irisin is also secreted from the heart muscle, liver, brain, pancreas, and kidney [303,304]. Irisin is an exercise-induced myokine derived from fibronectin type III domain-containing 5 (FNDC5) [305,306,307]. As a PGC-1α-dependent myokine [307], irisin drives brown-fat-like thermogenesis in WAT in rodents [307] and humans [308] and promotes mitochondrial biogenesis [309], and decreases oxidative stress [310]. In recent years, it has become apparent that irisin as a cleaved fragment is also secreted into the circulation following proteolytic cleavage from its cellular form in humans and can readily be quantified by an enzyme-linked immunosorbent assay [311]. Evidence-based research has revealed that irisin can reverse diet-induced obesity and diabetes by stimulating thermogenesis in rodents [307] and humans [308] by increasing brown adipocyte-like cell abundance and increasing the expression of brown adipocyte-specific genes [307] within WAT that, in turn, increases EE [312].
Adipose tissue is the second main source of irisin. Importantly, irisin was shown to release from mature adipocytes of WAT in rats, which is mainly from those in SAT and a lower amount from those in VAT [313]. WAT-derived FNDC5/irisin represents ~28% of total circulating levels of the protein, with the remaining 72% likely derived from skeletal muscle [307,313,314], indicating that adipose tissue is not an essential source of irisin. The expression of FNDC5 in adipose tissue is about 100–200 times lower than in skeletal muscle in humans [304,315]. It is also well documented that irisin exerts its profound effect on adipose tissue depending on the species (rodents, humans), type of adipocytes (premature or mature adipocytes), and location/type of the adipose tissue [316].
The effects of irisin on the browning of WAT in humans are incompletely understood. Irisin decreases browning-related genes in human preadipocytes without stimulating browning in human preadipocytes from SAT, whereas it stimulates browning, indicated by an increase in UCP1 and various signalling pathways in mature human adipocytes [308,317]. Moreover, the potential correlations between circulating irisin levels and obesity have been investigated extensively. Studies showed a positive association between circulating irisin and BMI, BW, waist circumference, and waist-to-hip ratio [304,318], even though some research reported a negative correlation between irisin and BMI [319]. Moreover, Zhang et al. [320] demonstrated that recombinant irisin resulted in decreased BW and improved glucose homeostasis. They also showed that irisin stimulated UCP-1 expression and the expression of betatrophin, which is a hormone that promotes pancreatic β-cell proliferation and improves glucose tolerance [320]. In addition, mice adipocytes treated with intravenous injection of FNDC5/irisin exhibited multilocular lipid droplets, a higher density of mitochondria, and increased EE, showing induction of the brown adipocyte-like phenotype in WAT [307]. Irisin has also been shown to induce lipid metabolism and downregulate lipid synthesis in mice [321] and is positively associated with biceps circumference, fat-free mass, and BMI in humans [304]. Park et al. [322] also assessed if circulating irisin was associated with macronutrients, energy intake, and dietary scores and reported that irisin was not associated with any of the studied dietary factors including the Alternate Healthy Eating Index and Alternate Mediterranean Diet Score [322]. Crujeiras et al. [323] reported that, in addition to the well-studied hormones leptin and adiponectin, irisin plasma levels were also associated with insulin resistance in weight regainers versus non-regainers, indicating irisin to be a potential prognostic marker of T2D. Collectively, irisin seems to have a key role in the improvement of adipocyte metabolism and can serve as a potential therapeutic target in the future.
The molecular mechanism underpinning exercise-induced irisin concentration is that exercise increases the expression of PGC-1α, which leads to the expression of FNDC5, the precursor of irisin, in the brain and skeletal muscle [307]. Irisin is cleaved from FNCD5 at the level of the cell membrane by the unknown enzyme(s) and then binds to yet undefined receptor(s) of white adipocytes and other cells [314]. Irisin stimulates the expression of mitochondrial UCP1 and browning of WAT [324], which is known to induce thermogenesis and, thus, EE in the skeletal muscle and BAT [312,316]. Many studies examined the effects of different types of exercise on circulating irisin in humans with inconsistent results. It has been reported that chronic exercise decreases [325,326,327,328,329], increases [330,331], and does not change the resting irisin concentration [141,332]. Eight weeks of RT significantly increased circulating irisin, while there was no change in irisin following aerobic training [333]. Similarly, Tsuchiya et al. [334] showed that acute RT increased circulating irisin more than endurance or combined resistance/endurance training in healthy individuals, showing that RT could provide more stimulus to induce irisin in humans than any other type of exercise. Additionally, a higher increase in irisin concentration was reported following high-intensity acute exercise compared to low-intensity exercise [335]. Two meta-analyses conducted on the effects of exercise on irisin concentration have shown that acute exercise [306] and chronic RT can increase irisin level based on the exercise protocol applied [305], while endurance training decreases irisin concentration negligibly [306], showing that irisin responses to exercise are acute and physiological adaptations following chronic exercise are not sufficient to keep the resting irisin level high. Speculatively, this decrease in irisin level following endurance training may be due to increased sensitivity of the unknown irisin receptor in response to exercise [327].
In summary, irisin is a potential mediator of the health-promoting effects of exercise. Due to its effects on metabolism and adipose tissue, irisin is considered a promising therapeutic target for treating obesity and T2D.

5.6. Meteorin-Like

Meteorin-like (Metrnl) is a circulating factor, which is induced in muscle in response to exercise and in adipose tissue upon cold exposure, and is involved with mitochondrial biogenesis in white adipocytes [336]. The highest expression level of Metrnl is in WAT of both rodents and humans, with expression in various tissues including omental adipose tissue, perivascular adipose tissue, interscapular adipose tissue, liver, spleen, muscle, heart, thymus, forebrain, midbrain, and hindbrain [337]. Metrnl is known to prevent insulin resistance induced by a high-fat diet or leptin deletion [338], regulate immune-adipose interactions, contribute to browning of the subcutaneous WAT [336], improve adipose tissue function [337], promote neurite outgrowth [339], and increase systemic EE [336]. These findings indicate Metrnl plays a potential role in preventing metabolic diseases and improving metabolism. Recently, the Spiegelman group has shown that Metrnl increased the production of IL-4, IL-13, and catecholamines in the adipose tissue in vivo, showing Metrnl-induced phenotypic switch in adipose tissue macrophages and production of pro-thermogenic catecholamines [336]. Moreover, the same research group has documented that increased Metrnl plasma concentration resulted in increased EE, and improved glucose tolerance and anti-inflammatory cytokines [336]. In addition, the plasma Metrnl level has been reported to be lower in people with T2D [340] and osteoarthritis [341] when compared to healthy subjects. On the other hand, some research reported a higher level of Metrnl in individuals with obesity [342], and a positive association of Metrnl with BMI, waist circumference, total cholesterol, triglyceride, and low-density lipoprotein cholesterol in individuals with T2D [342,343]. These discrepancies available in the literature remain paradoxical and await clarification.
Supporting evidence has shown that Metrnl is regulated by acute and chronic exercise intervention. For example, Rao et al. reported a significant increase in Metrnl mRNA expression in the triceps muscle of mice and a two-fold increase in circulating Metrnl concentration following a single bout of downhill treadmill-running exercise [336]. The same study also showed that an acute session of CT consisting of RE followed by endurance exercise increased Metrnl mRNA expression in human skeletal muscle [336]. Concerning the training effects on Metrnl, Bae reported that chronic treadmill running (5 sessions/week for 8 weeks) significantly increased muscle, plasma, and adipose tissue Metrnl in high-fat diet-induced obese mice and reduced high-fat, diet-induced BW gain in mice without affecting caloric intake [344]. Similarly, Amano et al. reported an increased plasma Metrnl in mice following four weeks of chronic RT administered with electrical stimulation and this increase was associated with an increase in the expression of PGC-1α and mitochondrial biogenesis in BAT [345]. Furthermore, Eaton et al. reported that a single bout of high-intensity interval exercise and 20 days of HIIT significantly increased Metrnl mRNA expression in human skeletal muscle [346], indicating Metrnl mRNA expression is responsive to the acute and chronic high-intensity exercise intervention. However, it remains uncertain whether acute or chronic exercise intervention would affect Metrnl at the protein level in muscle or plasma.
In summary, Metrnl is an exercise-induced protein that promotes the expression of genes associated with the browning of WAT. This transformation of characteristic white adipocytes into brown/beige fat is of great therapeutic potential in developing new therapies for obesity and T2D. Therefore, exercise interventions that increase circulating concentration and mRNA expression of Metrnl would be novel therapeutic strategies to overcome chronic diseases, particularly obesity. Furthermore, clarifying the roles and possible clinical applications of Metrnl in more detail may alleviate obesity and offer protection against metabolic disorders due to the essential role of Metrnl in neurotrophic activity and metabolism.

6. Summary and Future Perspectives

In the present study, we reviewed the therapeutic roles of various diet, exercise interventions, and some cytokines that play a significant role in obesity prevention and improving adipose tissue metabolism. Obesity has been an epidemic disease defined as an excess of BF that results from a state of positive energy balance in which energy intake exceeds the expenditure. The cause of obesity is well known to be multifactorial including genetics, nutrition, and lack of PA. Thus, this complexity must be taken into account when developing preventive interventions. The most important ways to reverse the increased prevalence of obesity are dependent on the interventions that provide a sustained negative energy balance over time. From this point of view, regular exercise seems like an elixir capable of leading to a negative energy balance that reduces both subcutaneous and VAT mass. Furthermore, a combined hypocaloric diet and PA intervention is likely to be more effective in reducing BW and improving adipose tissue metabolism. Notably, even if there is no weight loss despite exercise training, regular exercise is a cornerstone providing numerous benefits, such as maintenance of muscle mass and RMR, inducing anti-inflammatory markers, improving skeletal health, and more. Likewise, cytokines and myokines secreted from various organs and tissues establish a muscle-to-organ/tissue cross-talk communication that promotes health-related outcomes. These cytokines and myokines known to be secreted in response to muscular contractions are promising molecules for the prevention of obesity particularly due to their ability of browning white fat tissue by increasing the expression of specific genes within WAT. However, the role of most myokines is not fully elucidated. Therefore, more work is needed to provide a better understanding of the physiological role of myokines in humans.

Author Contributions

Conceptualization, M.M.A., Ş.N.K., Y.G. and X.Y. Investigation, M.M.A., Ş.N.K., Y.G. and X.Y. Writing-original draft preparation, M.M.A., Ş.N.K., Y.G., H.T.T. and X.Y. Writing-review and editing, M.M.A. and Ş.N.K. Visualization, M.M.A. Supervision, Ş.N.K. and X.Y. All authors have read and agreed to the published version of the manuscript.


X.Y. was supported by a grant from the Australian Institute for Musculoskeletal Science (AIMSS).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.


We would like to thank Zhihong Henry Ye from the School of Biomedical Sciences, Monash University, for helping to edit the English in the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.


  1. Chooi, Y.C.; Ding, C.; Magkos, F. The epidemiology of obesity. Metabolism 2019, 92, 6–10. [Google Scholar] [CrossRef] [PubMed][Green Version]
  2. World Health Organization. Obesity and Overweight. Fact Sheet. Available online: (accessed on 25 February 2021).
  3. Stamatakis, E.; Chau, J.Y.; Pedisic, Z.; Bauman, A.; Macniven, R.; Coombs, N.; Hamer, M. Are Sitting Occupations Associated with Increased All-Cause, Cancer, and Cardiovascular Disease Mortality Risk? A Pooled Analysis of Seven British Population Cohorts. PLoS ONE 2013, 8, e73753. [Google Scholar] [CrossRef] [PubMed][Green Version]
  4. Bray, G.A.; Kim, K.K.; Wilding, J.P.H. Obesity: A chronic relapsing progressive disease process. A position statement of the World Obesity Federation. Obes. Rev. 2017, 18, 715–723. [Google Scholar] [CrossRef] [PubMed][Green Version]
  5. Sarma, S.; Sockalingam, S.; Dash, S. Obesity as a multisystem disease: Trends in obesity rates and obesity-related complications. Diabetes Obes. Metab. 2021, 23 (Suppl. 1), 3–16. [Google Scholar] [CrossRef]
  6. Di Angelantonio, E.; Bhupathiraju Sh, N.; Wormser, D.; Gao, P.; Kaptoge, S.; Berrington de Gonzalez, A.; Cairns, B.J.; Huxley, R.; Jackson Ch, L.; Joshy, G.; et al. Body-mass index and all-cause mortality: Individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet 2016, 388, 776–786. [Google Scholar] [CrossRef][Green Version]
  7. Bhaskaran, K.; Dos-Santos-Silva, I.; Leon, D.A.; Douglas, I.J.; Smeeth, L. Association of BMI with overall and cause-specific mortality: A population-based cohort study of 3·6 million adults in the UK. Lancet Diabetes Endocrinol. 2018, 6, 944–953. [Google Scholar] [CrossRef][Green Version]
  8. Piché, M.E.; Tchernof, A.; Després, J.P. Obesity Phenotypes, Diabetes, and Cardiovascular Diseases. Circ. Res. 2020, 126, 1477–1500. [Google Scholar] [CrossRef]
  9. Boles, A.; Kandimalla, R.; Reddy, P.H. Dynamics of diabetes and obesity: Epidemiological perspective. Biochim. Biophys. Acta Mol. Basis Dis. 2017, 1863, 1026–1036. [Google Scholar] [CrossRef]
  10. Vekic, J.; Zeljkovic, A.; Stefanovic, A.; Jelic-Ivanovic, Z.; Spasojevic-Kalimanovska, V. Obesity and dyslipidemia. Metab. Clin. Exp. 2019, 92, 71–81. [Google Scholar] [CrossRef] [PubMed]
  11. Gerges, S.H.; Wahdan, S.A.; Elsherbiny, D.A.; El-Demerdash, E. Non-alcoholic fatty liver disease: An overview of risk factors, pathophysiological mechanisms, diagnostic procedures, and therapeutic interventions. Life Sci. 2021, 271, 119220. [Google Scholar] [CrossRef] [PubMed]
  12. Das, E.; Moon, J.H.; Lee, J.H.; Thakkar, N.; Pausova, Z.; Sung, H.K. Adipose Tissue and Modulation of Hypertension. Curr. Hypertens. Rep. 2018, 20, 96. [Google Scholar] [CrossRef] [PubMed]
  13. Câmara, N.O.; Iseki, K.; Kramer, H.; Liu, Z.H.; Sharma, K. Kidney disease and obesity: Epidemiology, mechanisms and treatment. Nat. Rev. Nephrol. 2017, 13, 181–190. [Google Scholar] [CrossRef] [PubMed]
  14. Basen-Engquist, K.; Chang, M. Obesity and cancer risk: Recent review and evidence. Curr. Oncol. Rep. 2011, 13, 71–76. [Google Scholar] [CrossRef] [PubMed]
  15. Avgerinos, K.I.; Spyrou, N.; Mantzoros, C.S.; Dalamaga, M. Obesity and cancer risk: Emerging biological mechanisms and perspectives. Metab. Clin. Exp. 2019, 92, 121–135. [Google Scholar] [CrossRef]
  16. Tremmel, M.; Gerdtham, U.G.; Nilsson, P.M.; Saha, S. Economic Burden of Obesity: A Systematic Literature Review. Int. J. Environ. Res. Public Health 2017, 14, 435. [Google Scholar] [CrossRef]
  17. Pedisic, Z.; Grunseit, A.; Ding, D.; Chau, J.Y.; Banks, E.; Stamatakis, E.; Jalaludin, B.B.; Bauman, A.E. High sitting time or obesity: Which came first? Bidirectional association in a longitudinal study of 31,787 Australian adults. Obesity 2014, 22, 2126–2130. [Google Scholar] [CrossRef][Green Version]
  18. Shrestha, N.; Pedisic, Z.; Neil-Sztramko, S.; Kukkonen-Harjula, K.T.; Hermans, V. The Impact of Obesity in the Workplace: A Review of Contributing Factors, Consequences and Potential Solutions. Curr. Obes. Rep. 2016, 5, 344–360. [Google Scholar] [CrossRef]
  19. Dai, H.; Alsalhe, T.A.; Chalghaf, N.; Riccò, M.; Bragazzi, N.L.; Wu, J. The global burden of disease attributable to high body mass index in 195 countries and territories, 1990-2017: An analysis of the Global Burden of Disease Study. PLoS Med. 2020, 17, e1003198. [Google Scholar] [CrossRef]
  20. Chouchani, E.T.; Kajimura, S. Metabolic adaptation and maladaptation in adipose tissue. Nat. Metab. 2019, 1, 189–200. [Google Scholar] [CrossRef]
  21. Feng, B.; Zhang, T.; Xu, H. Human adipose dynamics and metabolic health. Ann. N. Y. Acad. Sci. 2013, 1281, 160–177. [Google Scholar] [CrossRef]
  22. Tsatsoulis, A.; Paschou, S.A. Metabolically Healthy Obesity: Criteria, Epidemiology, Controversies, and Consequences. Curr. Obes. Rep. 2020, 9, 109–120. [Google Scholar] [CrossRef]
  23. Ghaben, A.L.; Scherer, P.E. Adipogenesis and metabolic health. Nat. Rev. Mol. Cell Biol. 2019, 20, 242–258. [Google Scholar] [CrossRef]
  24. Goossens, G.H. The Metabolic Phenotype in Obesity: Fat Mass, Body Fat Distribution, and Adipose Tissue Function. Obes. Facts 2017, 10, 207–215. [Google Scholar] [CrossRef]
  25. Iacobini, C.; Pugliese, G.; Blasetti Fantauzzi, C.; Federici, M.; Menini, S. Metabolically healthy versus metabolically unhealthy obesity. Metabolism 2019, 92, 51–60. [Google Scholar] [CrossRef]
  26. Goossens, G.H.; Blaak, E.E. Adipose tissue dysfunction and impaired metabolic health in human obesity: A matter of oxygen? Front. Endocrinol. 2015, 6, 55. [Google Scholar] [CrossRef] [PubMed][Green Version]
  27. Kumanyika, S.K.; Obarzanek, E.; Stettler, N.; Bell, R.; Field, A.E.; Fortmann, S.P.; Franklin, B.A.; Gillman, M.W.; Lewis, C.E.; Poston, W.C., 2nd; et al. Population-based prevention of obesity: The need for comprehensive promotion of healthful eating, physical activity, and energy balance: A scientific statement from American Heart Association Council on Epidemiology and Prevention, Interdisciplinary Committee for Prevention (formerly the expert panel on population and prevention science). Circulation 2008, 118, 428–464. [Google Scholar] [CrossRef][Green Version]
  28. Lagerros, Y.T.; Rossner, S. Obesity management: What brings success? Therap. Adv. Gastroenterol. 2013, 6, 77–88. [Google Scholar] [CrossRef] [PubMed][Green Version]
  29. Kheniser, K.; Saxon, D.R.; Kashyap, S.R. Long-term weight loss strategies for obesity. J. Clin. Endocrinol. Metab. 2021. [Google Scholar] [CrossRef] [PubMed]
  30. Kolahdouzi, S.; Talebi-Garakani, E.; Hamidian, G.; Safarzade, A. Exercise training prevents high-fat diet-induced adipose tissue remodeling by promoting capillary density and macrophage polarization. Life Sci. 2019, 220, 32–43. [Google Scholar] [CrossRef] [PubMed]
  31. Ross, R.; Soni, S.; Houle, S.A. Negative Energy Balance Induced by Exercise or Diet: Effects on Visceral Adipose Tissue and Liver Fat. Nutrients 2020, 12, 891. [Google Scholar] [CrossRef] [PubMed][Green Version]
  32. Verheggen, R.J.; Maessen, M.F.; Green, D.J.; Hermus, A.R.; Hopman, M.T.; Thijssen, D.H. A systematic review and meta-analysis on the effects of exercise training versus hypocaloric diet: Distinct effects on body weight and visceral adipose tissue. Obes. Rev. 2016, 17, 664–690. [Google Scholar] [CrossRef] [PubMed]
  33. Rabiee, A. Beige Fat Maintenance; Toward a Sustained Metabolic Health. Front. Endocrinol. 2020, 11, 634. [Google Scholar] [CrossRef] [PubMed]
  34. Pedersen, B.K.; Febbraio, M.A. Muscles, exercise and obesity: Skeletal muscle as a secretory organ. Nat. Rev. Endocrinol. 2012, 8, 457–465. [Google Scholar] [CrossRef] [PubMed]
  35. Garg, A. Adipose tissue dysfunction in obesity and lipodystrophy. Clin. Cornerstone 2006, 8 (Suppl. 4), S7–S13. [Google Scholar] [CrossRef]
  36. Kucuk Baloglu, F.; Garip, S.; Heise, S.; Brockmann, G.; Severcan, F. FTIR imaging of structural changes in visceral and subcutaneous adiposity and brown to white adipocyte transdifferentiation. Analyst 2015, 140, 2205–2214. [Google Scholar] [CrossRef] [PubMed]
  37. Thompson, D.; Karpe, F.; Lafontan, M.; Frayn, K. Physical activity and exercise in the regulation of human adipose tissue physiology. Physiol. Rev. 2012, 92, 157–191. [Google Scholar] [CrossRef] [PubMed][Green Version]
  38. Kershaw, E.E.; Flier, J.S. Adipose tissue as an endocrine organ. J. Clin. Endocrinol. Metab. 2004, 89, 2548–2556. [Google Scholar] [CrossRef]
  39. Yan, X.; Zhu, M.J.; Dodson, M.V.; Du, M. Developmental programming of fetal skeletal muscle and adipose tissue development. J. Genom. 2013, 1, 29–38. [Google Scholar] [CrossRef] [PubMed][Green Version]
  40. Grundy, S.M. Adipose tissue and metabolic syndrome: Too much, too little or neither. Eur. J. Clin. Investig. 2015, 45, 1209–1217. [Google Scholar] [CrossRef] [PubMed][Green Version]
  41. Saely, C.H.; Geiger, K.; Drexel, H. Brown versus white adipose tissue: A mini-review. Gerontology 2012, 58, 15–23. [Google Scholar] [CrossRef]
  42. Tam, C.S.; Lecoultre, V.; Ravussin, E. Brown adipose tissue: Mechanisms and potential therapeutic targets. Circulation 2012, 125, 2782–2791. [Google Scholar] [CrossRef][Green Version]
  43. Korta, P.; Pochec, E.; Mazur-Bialy, A. Irisin as a Multifunctional Protein: Implications for Health and Certain Diseases. Medicina 2019, 55, 485. [Google Scholar] [CrossRef][Green Version]
  44. Wronska, A.; Kmiec, Z. Structural and biochemical characteristics of various white adipose tissue depots. Acta Physiol. 2012, 205, 194–208. [Google Scholar] [CrossRef]
  45. Stanford, K.I.; Goodyear, L.J. Exercise regulation of adipose tissue. Adipocyte 2016, 5, 153–162. [Google Scholar] [CrossRef][Green Version]
  46. Wu, J.; Bostrom, P.; Sparks, L.M.; Ye, L.; Choi, J.H.; Giang, A.H.; Khandekar, M.; Virtanen, K.A.; Nuutila, P.; Schaart, G.; et al. Beige adipocytes are a distinct type of thermogenic fat cell in mouse and human. Cell 2012, 150, 366–376. [Google Scholar] [CrossRef] [PubMed][Green Version]
  47. Lehnig, A.C.; Stanford, K.I. Exercise-induced adaptations to white and brown adipose tissue. J. Exp. Biol. 2018, 221. [Google Scholar] [CrossRef] [PubMed][Green Version]
  48. Petrovic, N.; Walden, T.B.; Shabalina, I.G.; Timmons, J.A.; Cannon, B.; Nedergaard, J. Chronic peroxisome proliferator-activated receptor gamma (PPARgamma) activation of epididymally derived white adipocyte cultures reveals a population of thermogenically competent, UCP1-containing adipocytes molecularly distinct from classic brown adipocytes. J. Biol. Chem. 2010, 285, 7153–7164. [Google Scholar] [CrossRef][Green Version]
  49. Stanford, K.I.; Middelbeek, R.J.; Townsend, K.L.; Lee, M.Y.; Takahashi, H.; So, K.; Hitchcox, K.M.; Markan, K.R.; Hellbach, K.; Hirshman, M.F.; et al. A novel role for subcutaneous adipose tissue in exercise-induced improvements in glucose homeostasis. Diabetes 2015, 64, 2002–2014. [Google Scholar] [CrossRef] [PubMed][Green Version]
  50. Stanford, K.I.; Middelbeek, R.J.; Goodyear, L.J. Exercise Effects on White Adipose Tissue: Beiging and Metabolic Adaptations. Diabetes 2015, 64, 2361–2368. [Google Scholar] [CrossRef] [PubMed][Green Version]
  51. Cao, L.; Choi, E.Y.; Liu, X.; Martin, A.; Wang, C.; Xu, X.; During, M.J. White to brown fat phenotypic switch induced by genetic and environmental activation of a hypothalamic-adipocyte axis. Cell Metab. 2011, 14, 324–338. [Google Scholar] [CrossRef][Green Version]
  52. Elabd, C.; Chiellini, C.; Carmona, M.; Galitzky, J.; Cochet, O.; Petersen, R.; Penicaud, L.; Kristiansen, K.; Bouloumie, A.; Casteilla, L.; et al. Human multipotent adipose-derived stem cells differentiate into functional brown adipocytes. Stem Cells 2009, 27, 2753–2760. [Google Scholar] [CrossRef] [PubMed]
  53. Bishop, D.J.; Botella, J.; Genders, A.J.; Lee, M.J.; Saner, N.J.; Kuang, J.; Yan, X.; Granata, C. High-Intensity Exercise and Mitochondrial Biogenesis: Current Controversies and Future Research Directions. Physiology 2019, 34, 56–70. [Google Scholar] [CrossRef] [PubMed]
  54. Pedisic, Z.; Shrestha, N.; Kovalchik, S.; Stamatakis, E.; Liangruenrom, N.; Grgic, J.; Titze, S.; Biddle, S.J.; Bauman, A.E.; Oja, P. Is running associated with a lower risk of all-cause, cardiovascular and cancer mortality, and is the more the better? A systematic review and meta-analysis. Br. J. Sports Med. 2020, 54, 898–905. [Google Scholar] [CrossRef] [PubMed]
  55. Li, J.; Li, Y.; Atakan, M.M.; Kuang, J.; Hu, Y.; Bishop, D.J.; Yan, X. The Molecular Adaptive Responses of Skeletal Muscle to High-Intensity Exercise/Training and Hypoxia. Antioxidants 2020, 9, 656. [Google Scholar] [CrossRef] [PubMed]
  56. Vidal, P.; Stanford, K.I. Exercise-Induced Adaptations to Adipose Tissue Thermogenesis. Front. Endocrinol. 2020, 11, 270. [Google Scholar] [CrossRef] [PubMed]
  57. Wareham, N. Physical activity and obesity prevention. Obes. Rev. 2007, 8, 109–114. [Google Scholar] [CrossRef]
  58. Wareham, N.J.; van Sluijs, E.M.; Ekelund, U. Physical activity and obesity prevention: A review of the current evidence. Proc. Nutr. Soc. 2005, 64, 229–247. [Google Scholar] [CrossRef]
  59. Ross, R.; Dagnone, D.; Jones, P.J.; Smith, H.; Paddags, A.; Hudson, R.; Janssen, I. Reduction in obesity and related comorbid conditions after diet-induced weight loss or exercise-induced weight loss in men. A randomized, controlled trial. Ann. Intern. Med. 2000, 133, 92–103. [Google Scholar] [CrossRef]
  60. Racette, S.B.; Weiss, E.P.; Villareal, D.T.; Arif, H.; Steger-May, K.; Schechtman, K.B.; Fontana, L.; Klein, S.; Holloszy, J.O.; Washington University School of Medicine, C.G. One year of caloric restriction in humans: Feasibility and effects on body composition and abdominal adipose tissue. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 2006, 61, 943–950. [Google Scholar] [CrossRef][Green Version]
  61. Miyatake, N.; Nishikawa, H.; Morishita, A.; Kunitomi, M.; Wada, J.; Suzuki, H.; Takahashi, K.; Makino, H.; Kira, S.; Fujii, M. Daily walking reduces visceral adipose tissue areas and improves insulin resistance in Japanese obese subjects. Diabetes Res. Clin. Pract. 2002, 58, 101–107. [Google Scholar] [CrossRef]
  62. Durheim, M.T.; Slentz, C.A.; Bateman, L.A.; Mabe, S.K.; Kraus, W.E. Relationships between exercise-induced reductions in thigh intermuscular adipose tissue, changes in lipoprotein particle size, and visceral adiposity. Am. J. Physiol. Endocrinol. Metab. 2008, 295, E407–E412. [Google Scholar] [CrossRef] [PubMed][Green Version]
  63. Ross, R.; Hudson, R.; Stotz, P.J.; Lam, M. Effects of exercise amount and intensity on abdominal obesity and glucose tolerance in obese adults: A randomized trial. Ann. Intern. Med. 2015, 162, 325–334. [Google Scholar] [CrossRef] [PubMed]
  64. Brennan, A.M.; Day, A.G.; Cowan, T.E.; Clarke, G.J.; Lamarche, B.; Ross, R. Individual Response to Standardized Exercise: Total and Abdominal Adipose Tissue. Med. Sci. Sports Exerc. 2019. [Google Scholar] [CrossRef]
  65. Wilmore, J.H.; Despres, J.P.; Stanforth, P.R.; Mandel, S.; Rice, T.; Gagnon, J.; Leon, A.S.; Rao, D.; Skinner, J.S.; Bouchard, C. Alterations in body weight and composition consequent to 20 wk of endurance training: The HERITAGE Family Study. Am. J. Clin. Nutr. 1999, 70, 346–352. [Google Scholar] [CrossRef] [PubMed][Green Version]
  66. Irving, B.A.; Davis, C.K.; Brock, D.W.; Weltman, J.Y.; Swift, D.; Barrett, E.J.; Gaesser, G.A.; Weltman, A. Effect of exercise training intensity on abdominal visceral fat and body composition. Med. Sci. Sports Exerc. 2008, 40, 1863–1872. [Google Scholar] [CrossRef] [PubMed][Green Version]
  67. Coker, R.H.; Williams, R.H.; Kortebein, P.M.; Sullivan, D.H.; Evans, W.J. Influence of exercise intensity on abdominal fat and adiponectin in elderly adults. Metab. Syndr. Relat. Disord. 2009, 7, 363–368. [Google Scholar] [CrossRef]
  68. Tanaka, R.; Fuse, S.; Kuroiwa, M.; Amagasa, S.; Endo, T.; Ando, A.; Kime, R.; Kurosawa, Y.; Hamaoka, T. Vigorous-Intensity Physical Activities Are Associated with High Brown Adipose Tissue Density in Humans. Int. J. Environ. Res. Public Health 2020, 17, 2796. [Google Scholar] [CrossRef] [PubMed][Green Version]
  69. Owens, S.; Gutin, B.; Allison, J.; Riggs, S.; Ferguson, M.; Litaker, M.; Thompson, W. Effect of physical training on total and visceral fat in obese children. Med. Sci. Sports Exerc. 1999, 31, 143–148. [Google Scholar] [CrossRef] [PubMed]
  70. Lee, S.; Kuk, J.L.; Davidson, L.E.; Hudson, R.; Kilpatrick, K.; Graham, T.E.; Ross, R. Exercise without weight loss is an effective strategy for obesity reduction in obese individuals with and without Type 2 diabetes. J. Appl. Physiol. 2005, 99, 1220–1225. [Google Scholar] [CrossRef]
  71. Keating, S.E.; Hackett, D.A.; Parker, H.M.; O’Connor, H.T.; Gerofi, J.A.; Sainsbury, A.; Baker, M.K.; Chuter, V.H.; Caterson, I.D.; George, J.; et al. Effect of aerobic exercise training dose on liver fat and visceral adiposity. J. Hepatol. 2015, 63, 174–182. [Google Scholar] [CrossRef]
  72. Christiansen, T.; Paulsen, S.K.; Bruun, J.M.; Overgaard, K.; Ringgaard, S.; Pedersen, S.B.; Positano, V.; Richelsen, B. Comparable reduction of the visceral adipose tissue depot after a diet-induced weight loss with or without aerobic exercise in obese subjects: A 12-week randomized intervention study. Eur. J. Endocrinol. 2009, 160, 759–767. [Google Scholar] [CrossRef][Green Version]
  73. Walhin, J.P.; Dixon, N.C.; Betts, J.A.; Thompson, D. The impact of exercise intensity on whole body and adipose tissue metabolism during energy restriction in sedentary overweight men and postmenopausal women. Physiol. Rep. 2016, 4. [Google Scholar] [CrossRef] [PubMed]
  74. Islam, H.; Townsend, L.K.; Hazell, T.J. Excess Postexercise Oxygen Consumption and Fat Utilization Following Submaximal Continuous and Supramaximal Interval Running. Res. Q. Exerc. Sport 2018, 89, 450–456. [Google Scholar] [CrossRef] [PubMed]
  75. Henderson, G.C.; Fattor, J.A.; Horning, M.A.; Faghihnia, N.; Johnson, M.L.; Mau, T.L.; Luke-Zeitoun, M.; Brooks, G.A. Lipolysis and fatty acid metabolism in men and women during the postexercise recovery period. J. Physiol. 2007, 584, 963–981. [Google Scholar] [CrossRef]
  76. Perreault, L.; Lavely, J.M.; Kittelson, J.M.; Horton, T.J. Gender differences in lipoprotein lipase activity after acute exercise. Obes. Res. 2004, 12, 241–249. [Google Scholar] [CrossRef][Green Version]
  77. Ludzki, A.C.; Krueger, E.M.; Baldwin, T.C.; Schleh, M.W.; Porsche, C.E.; Ryan, B.J.; Muir, L.A.; Singer, K.; Lumeng, C.N.; Horowitz, J.F. Acute Aerobic Exercise Remodels the Adipose Tissue Progenitor Cell Phenotype in Obese Adults. Front. Physiol. 2020, 11, 903. [Google Scholar] [CrossRef] [PubMed]
  78. Hojbjerre, L.; Rosenzweig, M.; Dela, F.; Bruun, J.M.; Stallknecht, B. Acute exercise increases adipose tissue interstitial adiponectin concentration in healthy overweight and lean subjects. Eur. J. Endocrinol. 2007, 157, 613–623. [Google Scholar] [CrossRef]
  79. Van Pelt, D.W.; Guth, L.M.; Horowitz, J.F. Aerobic exercise elevates markers of angiogenesis and macrophage IL-6 gene expression in the subcutaneous adipose tissue of overweight-to-obese adults. J. Appl. Physiol. 2017, 123, 1150–1159. [Google Scholar] [CrossRef][Green Version]
  80. Fabre, O.; Ingerslev, L.R.; Garde, C.; Donkin, I.; Simar, D.; Barres, R. Exercise training alters the genomic response to acute exercise in human adipose tissue. Epigenomics 2018, 10, 1033–1050. [Google Scholar] [CrossRef][Green Version]
  81. Campbell, K.L.; Foster-Schubert, K.E.; Makar, K.W.; Kratz, M.; Hagman, D.; Schur, E.A.; Habermann, N.; Horton, M.; Abbenhardt, C.; Kuan, L.Y.; et al. Gene expression changes in adipose tissue with diet- and/or exercise-induced weight loss. Cancer Prev. Res. 2013, 6, 217–231. [Google Scholar] [CrossRef][Green Version]
  82. Tam, C.S.; Covington, J.D.; Ravussin, E.; Redman, L.M. Little evidence of systemic and adipose tissue inflammation in overweight individuals. Front. Genet. 2012, 3, 58. [Google Scholar] [CrossRef][Green Version]
  83. Richterova, B.; Stich, V.; Moro, C.; Polak, J.; Klimcakova, E.; Majercik, M.; Harant, I.; Viguerie, N.; Crampes, F.; Langin, D.; et al. Effect of endurance training on adrenergic control of lipolysis in adipose tissue of obese women. J. Clin. Endocrinol. Metab. 2004, 89, 1325–1331. [Google Scholar] [CrossRef][Green Version]
  84. Polak, J.; Klimcakova, E.; Moro, C.; Viguerie, N.; Berlan, M.; Hejnova, J.; Richterova, B.; Kraus, I.; Langin, D.; Stich, V. Effect of aerobic training on plasma levels and subcutaneous abdominal adipose tissue gene expression of adiponectin, leptin, interleukin 6, and tumor necrosis factor alpha in obese women. Metab. Clin. Exp. 2006, 55, 1375–1381. [Google Scholar] [CrossRef] [PubMed]
  85. Leick, L.; Lindegaard, B.; Stensvold, D.; Plomgaard, P.; Saltin, B.; Pilegaard, H. Adipose tissue interleukin-18 mRNA and plasma interleukin-18: Effect of obesity and exercise. Obesity 2007, 15, 356–363. [Google Scholar] [CrossRef] [PubMed]
  86. Christiansen, T.; Paulsen, S.K.; Bruun, J.M.; Ploug, T.; Pedersen, S.B.; Richelsen, B. Diet-induced weight loss and exercise alone and in combination enhance the expression of adiponectin receptors in adipose tissue and skeletal muscle, but only diet-induced weight loss enhanced circulating adiponectin. J. Clin. Endocrinol. Metab. 2010, 95, 911–919. [Google Scholar] [CrossRef]
  87. Stanford, K.I.; Goodyear, L.J. Muscle-Adipose Tissue Cross Talk. Cold Spring Harb. Perspect. Med. 2018, 8. [Google Scholar] [CrossRef] [PubMed]
  88. Trevellin, E.; Scorzeto, M.; Olivieri, M.; Granzotto, M.; Valerio, A.; Tedesco, L.; Fabris, R.; Serra, R.; Quarta, M.; Reggiani, C.; et al. Exercise training induces mitochondrial biogenesis and glucose uptake in subcutaneous adipose tissue through eNOS-dependent mechanisms. Diabetes 2014, 63, 2800–2811. [Google Scholar] [CrossRef][Green Version]
  89. Cypess, A.M.; Lehman, S.; Williams, G.; Tal, I.; Rodman, D.; Goldfine, A.B.; Kuo, F.C.; Palmer, E.L.; Tseng, Y.H.; Doria, A.; et al. Identification and importance of brown adipose tissue in adult humans. N. Engl. J. Med. 2009, 360, 1509–1517. [Google Scholar] [CrossRef] [PubMed][Green Version]
  90. Vosselman, M.J.; Hoeks, J.; Brans, B.; Pallubinsky, H.; Nascimento, E.B.; van der Lans, A.A.; Broeders, E.P.; Mottaghy, F.M.; Schrauwen, P.; van Marken Lichtenbelt, W.D. Low brown adipose tissue activity in endurance-trained compared with lean sedentary men. Int. J. Obes. 2015, 39, 1696–1702. [Google Scholar] [CrossRef][Green Version]
  91. Otero-Diaz, B.; Rodriguez-Flores, M.; Sanchez-Munoz, V.; Monraz-Preciado, F.; Ordonez-Ortega, S.; Becerril-Elias, V.; Baay-Guzman, G.; Obando-Monge, R.; Garcia-Garcia, E.; Palacios-Gonzalez, B.; et al. Exercise Induces White Adipose Tissue Browning Across the Weight Spectrum in Humans. Front. Physiol. 2018, 9, 1781. [Google Scholar] [CrossRef]
  92. Donnelly, J.E.; Blair, S.N.; Jakicic, J.M.; Manore, M.M.; Rankin, J.W.; Smith, B.K. American College of Sports Medicine Position Stand. Appropriate physical activity intervention strategies for weight loss and prevention of weight regain for adults. Med. Sci. Sports Exerc. 2009, 41, 459–471. [Google Scholar] [CrossRef] [PubMed]
  93. Hallal, P.C.; Andersen, L.B.; Bull, F.C.; Guthold, R.; Haskell, W.; Ekelund, U. Global physical activity levels: Surveillance progress, pitfalls, and prospects. Lancet 2012, 380, 247–257. [Google Scholar] [CrossRef]
  94. Higgins, S.; Fedewa, M.V.; Hathaway, E.D.; Schmidt, M.D.; Evans, E.M. Sprint interval and moderate-intensity cycling training differentially affect adiposity and aerobic capacity in overweight young-adult women. Appl. Physiol. Nutr. Metab. 2016, 41, 1177–1183. [Google Scholar] [CrossRef] [PubMed]
  95. Atakan, M.M.; Güzel, Y.; Bulut, S.; Koşar, N.; McConell, G.K.; Turnagöl, H.H. Six high-intensity interval training sessions over 5 days increases maximal oxygen uptake, endurance capacity, and sub-maximal exercise fat oxidation as much as 6 high-intensity interval training sessions over 2 weeks. J. Sport Health Sci. 2020. [Google Scholar] [CrossRef]
  96. Little, J.P.; Safdar, A.; Wilkin, G.P.; Tarnopolsky, M.A.; Gibala, M.J. A practical model of low-volume high-intensity interval training induces mitochondrial biogenesis in human skeletal muscle: Potential mechanisms. J. Physiol. 2010, 588, 1011–1022. [Google Scholar] [CrossRef]
  97. Zhang, H.; Tong, T.K.; Qiu, W.; Zhang, X.; Zhou, S.; Liu, Y.; He, Y. Comparable Effects of High-Intensity Interval Training and Prolonged Continuous Exercise Training on Abdominal Visceral Fat Reduction in Obese Young Women. J. Diabetes Res. 2017, 2017, 5071740. [Google Scholar] [CrossRef] [PubMed]
  98. Riis, S.; Christensen, B.; Nellemann, B.; Moller, A.B.; Husted, A.S.; Pedersen, S.B.; Schwartz, T.W.; Jorgensen, J.O.L.; Jessen, N. Molecular adaptations in human subcutaneous adipose tissue after ten weeks of endurance exercise training in healthy males. J. Appl. Physiol. 2019, 126, 569–577. [Google Scholar] [CrossRef][Green Version]
  99. Dohlmann, T.L.; Hindso, M.; Dela, F.; Helge, J.W.; Larsen, S. High-intensity interval training changes mitochondrial respiratory capacity differently in adipose tissue and skeletal muscle. Physiol. Rep. 2018, 6, e13857. [Google Scholar] [CrossRef]
  100. Leggate, M.; Carter, W.G.; Evans, M.J.; Vennard, R.A.; Sribala-Sundaram, S.; Nimmo, M.A. Determination of inflammatory and prominent proteomic changes in plasma and adipose tissue after high-intensity intermittent training in overweight and obese males. J. Appl. Physiol. 2012, 112, 1353–1360. [Google Scholar] [CrossRef][Green Version]
  101. Islam, H.; Smith, M.M.W.; Scribbans, T.D.; McCrady, E.; Castellani, L.N.; Allen, M.D.; Wright, D.C.; Simpson, C.A.; Gurd, B.J. Effect of Acute High-intensity Interval Exercise on Whole-body Fat Oxidation and Subcutaneous Adipose Tissue Cell Signaling in Overweight Women. Int. J. Exerc. Sci. 2020, 13, 554–566. [Google Scholar]
  102. Astorino, T.A.; Schubert, M.M.; Palumbo, E.; Stirling, D.; McMillan, D.W. Effect of two doses of interval training on maximal fat oxidation in sedentary women. Med. Sci. Sports Exerc. 2013, 45, 1878–1886. [Google Scholar] [CrossRef]
  103. Taylor, J.L.; Holland, D.J.; Mielke, G.I.; Bailey, T.G.; Johnson, N.A.; Leveritt, M.D.; Gomersall, S.R.; Rowlands, A.V.; Coombes, J.S.; Keating, S.E. Effect of High-Intensity Interval Training on Visceral and Liver Fat in Cardiac Rehabilitation: A Randomized Controlled Trial. Obesity 2020, 28, 1245–1253. [Google Scholar] [CrossRef] [PubMed]
  104. Keating, S.E.; Johnson, N.A.; Mielke, G.I.; Coombes, J.S. A systematic review and meta-analysis of interval training versus moderate-intensity continuous training on body adiposity. Obes. Rev. 2017, 18, 943–964. [Google Scholar] [CrossRef] [PubMed]
  105. Larsen, S.; Danielsen, J.H.; Sondergard, S.D.; Sogaard, D.; Vigelsoe, A.; Dybboe, R.; Skaaby, S.; Dela, F.; Helge, J.W. The effect of high-intensity training on mitochondrial fat oxidation in skeletal muscle and subcutaneous adipose tissue. Scand. J. Med. Sci. Sports 2015, 25, e59–e69. [Google Scholar] [CrossRef]
  106. Whyte, L.J.; Gill, J.M.; Cathcart, A.J. Effect of 2 weeks of sprint interval training on health-related outcomes in sedentary overweight/obese men. Metabolism 2010, 59, 1421–1428. [Google Scholar] [CrossRef]
  107. Honkala, S.M.; Motiani, P.; Kivela, R.; Hemanthakumar, K.A.; Tolvanen, E.; Motiani, K.K.; Eskelinen, J.J.; Virtanen, K.A.; Kemppainen, J.; Heiskanen, M.A.; et al. Exercise training improves adipose tissue metabolism and vasculature regardless of baseline glucose tolerance and sex. BMJ Open Diabetes Res. Care 2020, 8. [Google Scholar] [CrossRef]
  108. Cooper, J.H.; Collins, B.E.; Adams, D.R.; Robergs, R.A.; Donges, C.E. Limited Effects of Endurance or Interval Training on Visceral Adipose Tissue and Systemic Inflammation in Sedentary Middle-Aged Men. J. Obes. 2016, 2016, 2479597. [Google Scholar] [CrossRef][Green Version]
  109. Schmitz, K.H.; Jensen, M.D.; Kugler, K.C.; Jeffery, R.W.; Leon, A.S. Strength training for obesity prevention in midlife women. Int. J. Obes. Relat. Metab. Disord. 2003, 27, 326–333. [Google Scholar] [CrossRef][Green Version]
  110. Ku, Y.H.; Han, K.A.; Ahn, H.; Kwon, H.; Koo, B.K.; Kim, H.C.; Min, K.W. Resistance exercise did not alter intramuscular adipose tissue but reduced retinol-binding protein-4 concentration in individuals with type 2 diabetes mellitus. J. Int. Med. Res. 2010, 38, 782–791. [Google Scholar] [CrossRef][Green Version]
  111. Grgic, J.; Schoenfeld, B.J.; Davies, T.B.; Lazinica, B.; Krieger, J.W.; Pedisic, Z. Effect of Resistance Training Frequency on Gains in Muscular Strength: A Systematic Review and Meta-Analysis. Sports Med. 2018, 48, 1207–1220. [Google Scholar] [CrossRef]
  112. Schoenfeld, B.J.; Grgic, J.; Ogborn, D.; Krieger, J.W. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J. Strength Cond. Res. 2017, 31, 3508–3523. [Google Scholar] [CrossRef] [PubMed]
  113. Grgic, J.; Garofolini, A.; Orazem, J.; Sabol, F.; Schoenfeld, B.J.; Pedisic, Z. Effects of Resistance Training on Muscle Size and Strength in Very Elderly Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Sports Med. 2020, 50, 1983–1999. [Google Scholar] [CrossRef] [PubMed]
  114. Braith, R.W.; Stewart, K.J. Resistance exercise training: Its role in the prevention of cardiovascular disease. Circulation 2006, 113, 2642–2650. [Google Scholar] [CrossRef] [PubMed]
  115. Baumgartner, R.N.; Koehler, K.M.; Gallagher, D.; Romero, L.; Heymsfield, S.B.; Ross, R.R.; Garry, P.J.; Lindeman, R.D. Epidemiology of sarcopenia among the elderly in New Mexico. Am. J. Epidemiol. 1998, 147, 755–763. [Google Scholar] [CrossRef]
  116. Pollock, M.L.; Franklin, B.A.; Balady, G.J.; Chaitman, B.L.; Fleg, J.L.; Fletcher, B.; Limacher, M.; Piña, I.L.; Stein, R.A.; Williams, M.; et al. AHA Science Advisory. Resistance exercise in individuals with and without cardiovascular disease: Benefits, rationale, safety, and prescription: An advisory from the Committee on Exercise, Rehabilitation, and Prevention, Council on Clinical Cardiology, American Heart Association; Position paper endorsed by the American College of Sports Medicine. Circulation 2000, 101, 828–833. [Google Scholar] [CrossRef]
  117. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults—the evidence report. National Institutes of Health. Obes. Res. 1998, 6, 51S–179S. [CrossRef]
  118. Vaughan, L.; Zurlo, F.; Ravussin, E. Aging and energy expenditure. Am. J. Clin. Nutr. 1991, 53, 821–825. [Google Scholar] [CrossRef] [PubMed]
  119. American College of Sports Medicine Position Stand. The recommended quantity and quality of exercise for developing and maintaining cardiorespiratory and muscular fitness, and flexibility in healthy adults. Med. Sci. Sports Exerc. 1998, 30, 975–991. [CrossRef]
  120. Treuth, M.S.; Ryan, A.S.; Pratley, R.E.; Rubin, M.A.; Miller, J.P.; Nicklas, B.J.; Sorkin, J.; Harman, S.M.; Goldberg, A.P.; Hurley, B.F. Effects of strength training on total and regional body composition in older men. J. Appl. Physiol. 1994, 77, 614–620. [Google Scholar] [CrossRef]
  121. Prabhakaran, B.; Dowling, E.A.; Branch, J.D.; Swain, D.P.; Leutholtz, B.C. Effect of 14 weeks of resistance training on lipid profile and body fat percentage in premenopausal women. Br. J. Sports Med. 1999, 33, 190–195. [Google Scholar] [CrossRef]
  122. Ross, R.; Rissanen, J.; Pedwell, H.; Clifford, J.; Shragge, P. Influence of diet and exercise on skeletal muscle and visceral adipose tissue in men. J. Appl. Physiol. 1996, 81, 2445–2455. [Google Scholar] [CrossRef][Green Version]
  123. Treuth, M.S.; Hunter, G.R.; Kekes-Szabo, T.; Weinsier, R.L.; Goran, M.I.; Berland, L. Reduction in intra-abdominal adipose tissue after strength training in older women. J. Appl. Physiol. 1995, 78, 1425–1431. [Google Scholar] [CrossRef]
  124. Hunter, G.R.; Bryan, D.R.; Wetzstein, C.J.; Zuckerman, P.A.; Bamman, M.M. Resistance training and intra-abdominal adipose tissue in older men and women. Med. Sci. Sports Exerc. 2002, 34, 1023–1028. [Google Scholar] [CrossRef]
  125. Rosety, M.A.; Pery, M.T.; Rodriguez-Pareja, M.A.; Diaz, A.; Rosety, J.; Garcia, N.; Brenes-Martin, F.; Rosety-Rodriguez, M.; Toro, R.; Ordonez, F.J.; et al. A Short-Term Circuit Resistance Programme Reduced Epicardial Fat in Obese Aged Women. Nutr. Hosp. 2015, 32, 2193–2197. [Google Scholar] [CrossRef]
  126. Ross, R.; Rissanen, J. Mobilization of visceral and subcutaneous adipose tissue in response to energy restriction and exercise. Am. J. Clin. Nutr. 1994, 60, 695–703. [Google Scholar] [CrossRef] [PubMed]
  127. Slentz, C.A.; Bateman, L.A.; Willis, L.H.; Shields, A.T.; Tanner, C.J.; Piner, L.W.; Hawk, V.H.; Muehlbauer, M.J.; Samsa, G.P.; Nelson, R.C.; et al. Effects of aerobic vs. resistance training on visceral and liver fat stores, liver enzymes, and insulin resistance by HOMA in overweight adults from STRRIDE AT/RT. Am. J. Physiol. Endocrinol. Metab. 2011, 301, E1033–E1039. [Google Scholar] [CrossRef] [PubMed][Green Version]
  128. Ormsbee, M.J.; Thyfault, J.P.; Johnson, E.A.; Kraus, R.M.; Choi, M.D.; Hickner, R.C. Fat metabolism and acute resistance exercise in trained men. J. Appl. Physiol. 2007, 102, 1767–1772. [Google Scholar] [CrossRef][Green Version]
  129. Allman, B.R.; Morrissey, M.C.; Kim, J.S.; Panton, L.B.; Contreras, R.J.; Hickner, R.C.; Ormsbee, M.J. Fat metabolism and acute resistance exercise in trained women. J. Appl. Physiol. 2019, 126, 739–745. [Google Scholar] [CrossRef]
  130. Chatzinikolaou, A.; Fatouros, I.; Petridou, A.; Jamurtas, A.; Avloniti, A.; Douroudos, I.; Mastorakos, G.; Lazaropoulou, C.; Papassotiriou, I.; Tournis, S.; et al. Adipose tissue lipolysis is upregulated in lean and obese men during acute resistance exercise. Diabetes Care 2008, 31, 1397–1399. [Google Scholar] [CrossRef][Green Version]
  131. Bishop, D.J.; Bartlett, J.; Fyfe, J.; Lee, M. Methodological Considerations for Concurrent Training. In Concurrent Aerobic and Strength Training: Scientific Basics and Practical Applications; Schumann, M., Rønnestad, B.R., Eds.; Springer International Publishing: Cham, Swithzerland, 2019; pp. 183–196. [Google Scholar] [CrossRef]
  132. Wilhelm, E.N.; Pinto, R.S. Concurrent Aerobic and Strength Training for Body Composition and Health. In Concurrent Aerobic and Strength Training: Scientific Basics and Practical Applications; Schumann, M., Rønnestad, B.R., Eds.; Springer International Publishing: Cham, Swithzerland, 2019; pp. 293–307. [Google Scholar] [CrossRef]
  133. Mikkola, J.; Rusko, H.; Nummela, A.; Pollari, T.; Häkkinen, K. Concurrent endurance and explosive type strength training improves neuromuscular and anaerobic characteristics in young distance runners. Int. J. Sports Med. 2007, 28, 602–611. [Google Scholar] [CrossRef]
  134. Schumann, M.; Rønnestad, B.R. A Brief Historical Overview on the Science of Concurrent Aerobic and Strength Training. In Concurrent Aerobic and Strength Training: Scientific Basics and Practical Applications; Schumann, M., Rønnestad, B.R., Eds.; Springer International Publishing: Cham, Swithzerland, 2019; pp. 1–6. [Google Scholar] [CrossRef]
  135. Lee, M.J.; Ballantyne, J.K.; Chagolla, J.; Hopkins, W.G.; Fyfe, J.J.; Phillips, S.M.; Bishop, D.J.; Bartlett, J.D. Order of same-day concurrent training influences some indices of power development, but not strength, lean mass, or aerobic fitness in healthy, moderately-active men after 9 weeks of training. PLoS ONE 2020, 15, e0233134. [Google Scholar] [CrossRef]
  136. Monteiro, P.A.; Chen, K.Y.; Lira, F.S.; Saraiva, B.T.; Antunes, B.M.; Campos, E.Z.; Freitas, I.F., Jr. Concurrent and aerobic exercise training promote similar benefits in body composition and metabolic profiles in obese adolescents. Lipids Health Dis. 2015, 14, 153. [Google Scholar] [CrossRef][Green Version]
  137. Wilson, J.M.; Marin, P.J.; Rhea, M.R.; Wilson, S.M.; Loenneke, J.P.; Anderson, J.C. Concurrent training: A meta-analysis examining interference of aerobic and resistance exercises. J. Strength Cond. Res. 2012, 26, 2293–2307. [Google Scholar] [CrossRef]
  138. Damaso, A.R.; da Silveira Campos, R.M.; Caranti, D.A.; de Piano, A.; Fisberg, M.; Foschini, D.; de Lima Sanches, P.; Tock, L.; Lederman, H.M.; Tufik, S.; et al. Aerobic plus resistance training was more effective in improving the visceral adiposity, metabolic profile and inflammatory markers than aerobic training in obese adolescents. J. Sports Sci. 2014, 32, 1435–1445. [Google Scholar] [CrossRef]
  139. de Mello, M.T.; de Piano, A.; Carnier, J.; Sanches Pde, L.; Correa, F.A.; Tock, L.; Ernandes, R.M.; Tufik, S.; Damaso, A.R. Long-term effects of aerobic plus resistance training on the metabolic syndrome and adiponectinemia in obese adolescents. J. Clin. Hypertens. 2011, 13, 343–350. [Google Scholar] [CrossRef] [PubMed]
  140. Davis, J.N.; Gyllenhammer, L.E.; Vanni, A.A.; Meija, M.; Tung, A.; Schroeder, E.T.; Spruijt-Metz, D.; Goran, M.I. Startup circuit training program reduces metabolic risk in Latino adolescents. Med. Sci. Sports Exerc. 2011, 43, 2195–2203. [Google Scholar] [CrossRef][Green Version]
  141. Norheim, F.; Langleite, T.M.; Hjorth, M.; Holen, T.; Kielland, A.; Stadheim, H.K.; Gulseth, H.L.; Birkeland, K.I.; Jensen, J.; Drevon, C.A. The effects of acute and chronic exercise on PGC-1alpha, irisin and browning of subcutaneous adipose tissue in humans. FEBS J. 2014, 281, 739–749. [Google Scholar] [CrossRef]
  142. Stinkens, R.; Brouwers, B.; Jocken, J.W.; Blaak, E.E.; Teunissen-Beekman, K.F.; Hesselink, M.K.; van Baak, M.A.; Schrauwen, P.; Goossens, G.H. Exercise training-induced effects on the abdominal subcutaneous adipose tissue phenotype in humans with obesity. J. Appl. Physiol. 2018, 125, 1585–1593. [Google Scholar] [CrossRef][Green Version]
  143. Coelho, M.; Oliveira, T.; Fernandes, R. Biochemistry of adipose tissue: An endocrine organ. Arch. Med. Sci. 2013, 9, 191–200. [Google Scholar] [CrossRef][Green Version]
  144. Ezquerro, S.; Rodríguez, A.; Portincasa, P.; Frühbeck, G. Effects of Diets on Adipose Tissue. Curr. Med. Chem. 2019, 26, 3593–3612. [Google Scholar] [CrossRef] [PubMed]
  145. Raynor, H.A.; Champagne, C.M. Position of the Academy of Nutrition and Dietetics: Interventions for the Treatment of Overweight and Obesity in Adults. J. Acad. Nutr. Diet. 2016, 116, 129–147. [Google Scholar] [CrossRef]
  146. Abete, I.; Astrup, A.; Martínez, J.A.; Thorsdottir, I.; Zulet, M.A. Obesity and the metabolic syndrome: Role of different dietary macronutrient distribution patterns and specific nutritional components on weight loss and maintenance. Nutr. Rev. 2010, 68, 214–231. [Google Scholar] [CrossRef]
  147. Capel, F.; Viguerie, N.; Vega, N.; Dejean, S.; Arner, P.; Klimcakova, E.; Martinez, J.A.; Saris, W.H.; Holst, C.; Taylor, M.; et al. Contribution of energy restriction and macronutrient composition to changes in adipose tissue gene expression during dietary weight-loss programs in obese women. J. Clin. Endocrinol. Metab. 2008, 93, 4315–4322. [Google Scholar] [CrossRef] [PubMed][Green Version]
  148. Clément, K.; Viguerie, N.; Poitou, C.; Carette, C.; Pelloux, V.; Curat, C.A.; Sicard, A.; Rome, S.; Benis, A.; Zucker, J.D.; et al. Weight loss regulates inflammation-related genes in white adipose tissue of obese subjects. FASEB J. 2004, 18, 1657–1669. [Google Scholar] [CrossRef][Green Version]
  149. Ludwig, D.S.; Friedman, M.I. Increasing adiposity: Consequence or cause of overeating? JAMA 2014, 311, 2167–2168. [Google Scholar] [CrossRef]
  150. Taubes, G. The science of obesity: What do we really know about what makes us fat? An essay by Gary Taubes. BMJ 2013, 346. [Google Scholar] [CrossRef] [PubMed][Green Version]
  151. Ludwig, D.S.; Ebbeling, C.B. The carbohydrate-insulin model of obesity: Beyond “calories in, calories out”. JAMA Intern. Med. 2018, 178, 1098–1103. [Google Scholar] [CrossRef] [PubMed]
  152. Hall, K.D.; Chen, K.Y.; Guo, J.; Lam, Y.Y.; Leibel, R.L.; Mayer, L.E.; Reitman, M.L.; Rosenbaum, M.; Smith, S.R.; Walsh, B.T.; et al. Energy expenditure and body composition changes after an isocaloric ketogenic diet in overweight and obese men. Am. J. Clin. Nutr. 2016, 104, 324–333. [Google Scholar] [CrossRef] [PubMed][Green Version]
  153. Wells, J.C.; Siervo, M. Obesity and energy balance: Is the tail wagging the dog? Eur. J. Clin. Nutr. 2011, 65, 1173–1189. [Google Scholar] [CrossRef] [PubMed][Green Version]
  154. Hall, K.D.; Guo, J. Obesity Energetics: Body Weight Regulation and the Effects of Diet Composition. Gastroenterology 2017, 152, 1718–1727.e3. [Google Scholar] [CrossRef][Green Version]
  155. Banting, W. Letter on Corpulence, Addressed to the Public... with Addenda; Harrison: London, UK, 1869. [Google Scholar]
  156. Fleming, J.A.; Kris-Etherton, P.M. Macronutrient Content of the Diet: What Do We Know About Energy Balance and Weight Maintenance? Curr. Obes. Rep. 2016, 5, 208–213. [Google Scholar] [CrossRef] [PubMed]
  157. Foster, G.D.; Wyatt, H.R.; Hill, J.O.; Makris, A.P.; Rosenbaum, D.L.; Brill, C.; Stein, R.I.; Mohammed, B.S.; Miller, B.; Rader, D.J. Weight and metabolic outcomes after 2 years on a low-carbohydrate versus low-fat diet: A randomized trial. Ann. Intern. Med. 2010, 153, 147–157. [Google Scholar] [CrossRef] [PubMed]
  158. Mansoor, N.; Vinknes, K.J.; Veierød, M.B.; Retterstøl, K. Effects of low-carbohydrate diets v. low-fat diets on body weight and cardiovascular risk factors: A meta-analysis of randomised controlled trials. Br. J. Nutr. 2016, 115, 466–479. [Google Scholar] [CrossRef]
  159. Ebbeling, C.B.; Swain, J.F.; Feldman, H.A.; Wong, W.W.; Hachey, D.L.; Garcia-Lago, E.; Ludwig, D.S. Effects of dietary composition on energy expenditure during weight-loss maintenance. JAMA 2012, 307, 2627–2634. [Google Scholar] [CrossRef] [PubMed][Green Version]
  160. Hall, K.D.; Bemis, T.; Brychta, R.; Chen, K.Y.; Courville, A.; Crayner, E.J.; Goodwin, S.; Guo, J.; Howard, L.; Knuth, N.D. Calorie for calorie, dietary fat restriction results in more body fat loss than carbohydrate restriction in people with obesity. Cell Metab. 2015, 22, 427–436. [Google Scholar] [CrossRef][Green Version]
  161. Bueno, N.B.; de Melo, I.S.; de Oliveira, S.L.; da Rocha Ataide, T. Very-low-carbohydrate ketogenic diet v. low-fat diet for long-term weight loss: A meta-analysis of randomised controlled trials. Br. J. Nutr. 2013, 110, 1178–1187. [Google Scholar] [CrossRef][Green Version]
  162. Sackner-Bernstein, J.; Kanter, D.; Kaul, S. Dietary Intervention for Overweight and Obese Adults: Comparison of Low-Carbohydrate and Low-Fat Diets. A Meta-Analysis. PLoS ONE 2015, 10, e0139817. [Google Scholar] [CrossRef]
  163. Tobias, D.K.; Chen, M.; Manson, J.E.; Ludwig, D.S.; Willett, W.; Hu, F.B. Effect of low-fat diet interventions versus other diet interventions on long-term weight change in adults: A systematic review and meta-analysis. Lancet Diabetes Endocrinol. 2015, 3, 968–979. [Google Scholar] [CrossRef][Green Version]
  164. Osuna-Prieto, F.J.; Martinez-Tellez, B.; Sanchez-Delgado, G.; Aguilera, C.M.; Lozano-Sanchez, J.; Arraez-Roman, D.; Segura-Carretero, A.; Ruiz, J.R. Activation of Human Brown Adipose Tissue by Capsinoids, Catechins, Ephedrine, and Other Dietary Components: A Systematic Review. Adv. Nutr. 2019, 10, 291–302. [Google Scholar] [CrossRef] [PubMed]
  165. Heenan, K.A.; Carrillo, A.E.; Fulton, J.L.; Ryan, E.J.; Edsall, J.R.; Rigopoulos, D.; Markofski, M.M.; Flouris, A.D.; Dinas, P.C. Effects of Nutrition/Diet on Brown Adipose Tissue in Humans: A Systematic Review and Meta-Analysis. Nutrients 2020, 12, 2752. [Google Scholar] [CrossRef]
  166. Noakes, T.D.; Windt, J. Evidence that supports the prescription of low-carbohydrate high-fat diets: A narrative review. Br. J. Sports Med. 2017, 51, 133. [Google Scholar] [CrossRef] [PubMed]
  167. Wheless, J.W. History of the ketogenic diet. Epilepsia 2008, 49 (Suppl. 8), 3–5. [Google Scholar] [CrossRef]
  168. Stubbs, B.J.; Newman, J.C. Ketogenic diet and adipose tissue inflammation-a simple story? Fat chance! Nat. Metab. 2020, 2, 3–4. [Google Scholar] [CrossRef] [PubMed]
  169. Dyson, P.A.; Beatty, S.; Matthews, D.R. A low-carbohydrate diet is more effective in reducing body weight than healthy eating in both diabetic and non-diabetic subjects. Diabet Med. 2007, 24, 1430–1435. [Google Scholar] [CrossRef] [PubMed]
  170. Goday, A.; Bellido, D.; Sajoux, I.; Crujeiras, A.B.; Burguera, B.; García-Luna, P.P.; Oleaga, A.; Moreno, B.; Casanueva, F.F. Short-term safety, tolerability and efficacy of a very low-calorie-ketogenic diet interventional weight loss program versus hypocaloric diet in patients with type 2 diabetes mellitus. Nutr. Diabetes 2016, 6, e230. [Google Scholar] [CrossRef] [PubMed]
  171. Harvey, C.; Schofield, G.M.; Zinn, C.; Thornley, S.J.; Crofts, C.; Merien, F.L.R. Low-carbohydrate diets differing in carbohydrate restriction improve cardiometabolic and anthropometric markers in healthy adults: A randomised clinical trial. PeerJ 2019, 7, e6273. [Google Scholar] [CrossRef]
  172. Freire, R. Scientific evidence of diets for weight loss: Different macronutrient composition, intermittent fasting, and popular diets. Nutrition 2020, 69, 110549. [Google Scholar] [CrossRef]
  173. Seidelmann, S.B.; Claggett, B.; Cheng, S.; Henglin, M.; Shah, A.; Steffen, L.M.; Folsom, A.R.; Rimm, E.B.; Willett, W.C.; Solomon, S.D. Dietary carbohydrate intake and mortality: A prospective cohort study and meta-analysis. Lancet Public Health 2018, 3, e419–e428. [Google Scholar] [CrossRef][Green Version]
  174. Westerterp-Plantenga, M.S.; Lemmens, S.G.; Westerterp, K.R. Dietary protein—Its role in satiety, energetics, weight loss and health. Br. J. Nutr. 2012, 108 (Suppl. 2), S105–S112. [Google Scholar] [CrossRef][Green Version]
  175. Dansinger, M.L.; Gleason, J.A.; Griffith, J.L.; Selker, H.P.; Schaefer, E.J. Comparison of the Atkins, Ornish, Weight Watchers, and Zone diets for weight loss and heart disease risk reduction: A randomized trial. JAMA 2005, 293, 43–53. [Google Scholar] [CrossRef] [PubMed]
  176. McAuley, K.A.; Hopkins, C.M.; Smith, K.J.; McLay, R.T.; Williams, S.M.; Taylor, R.W.; Mann, J.I. Comparison of high-fat and high-protein diets with a high-carbohydrate diet in insulin-resistant obese women. Diabetologia 2005, 48, 8–16. [Google Scholar] [CrossRef] [PubMed]
  177. Due, A.; Toubro, S.; Skov, A.R.; Astrup, A. Effect of normal-fat diets, either medium or high in protein, on body weight in overweight subjects: A randomised 1-year trial. Int. J. Obes. Relat. Metab. Disord. 2004, 28, 1283–1290. [Google Scholar] [CrossRef] [PubMed][Green Version]
  178. Claessens, M.; van Baak, M.A.; Monsheimer, S.; Saris, W.H. The effect of a low-fat, high-protein or high-carbohydrate ad libitum diet on weight loss maintenance and metabolic risk factors. Int. J. Obes. 2009, 33, 296–304. [Google Scholar] [CrossRef] [PubMed][Green Version]
  179. Dalle Grave, R.; Calugi, S.; Gavasso, I.; El Ghoch, M.; Marchesini, G. A randomized trial of energy-restricted high-protein versus high-carbohydrate, low-fat diet in morbid obesity. Obesity 2013, 21, 1774–1781. [Google Scholar] [CrossRef][Green Version]
  180. Santesso, N.; Akl, E.A.; Bianchi, M.; Mente, A.; Mustafa, R.; Heels-Ansdell, D.; Schünemann, H.J. Effects of higher- versus lower-protein diets on health outcomes: A systematic review and meta-analysis. Eur. J. Clin. Nutr. 2012, 66, 780–788. [Google Scholar] [CrossRef]
  181. Gustafson, B. Adipose tissue, inflammation and atherosclerosis. J. Atheroscler. Thromb. 2010, 17, 332–341. [Google Scholar] [CrossRef][Green Version]
  182. Fischer, K.; Pick, J.A.; Moewes, D.; Noethlings, U. Qualitative aspects of diet affecting visceral and subcutaneous abdominal adipose tissue: A systematic review of observational and controlled intervention studies. Nutr. Rev. 2015, 73, 191–215. [Google Scholar] [CrossRef]
  183. Turner-McGrievy, G.; Mandes, T.; Crimarco, A. A plant-based diet for overweight and obesity prevention and treatment. J. Geriatr. Cardiol. 2017, 14, 369–374. [Google Scholar] [CrossRef]
  184. Barnard, N.D.; Levin, S.M.; Yokoyama, Y. A systematic review and meta-analysis of changes in body weight in clinical trials of vegetarian diets. J. Acad. Nutr. Diet. 2015, 115, 954–969. [Google Scholar] [CrossRef]
  185. Kanerva, N.; Rissanen, H.; Knekt, P.; Havulinna, A.S.; Eriksson, J.G.; Männistö, S. The healthy Nordic diet and incidence of Type 2 Diabetes--10-year follow-up. Diabetes Res. Clin. Pract. 2014, 106, e34–e37. [Google Scholar] [CrossRef]
  186. Eichelmann, F.; Schwingshackl, L.; Fedirko, V.; Aleksandrova, K. Effect of plant-based diets on obesity-related inflammatory profiles: A systematic review and meta-analysis of intervention trials. Obes. Rev. 2016, 17, 1067–1079. [Google Scholar] [CrossRef] [PubMed]
  187. Huang, R.Y.; Huang, C.C.; Hu, F.B.; Chavarro, J.E. Vegetarian Diets and Weight Reduction: A Meta-Analysis of Randomized Controlled Trials. J. Gen. Intern. Med. 2016, 31, 109–116. [Google Scholar] [CrossRef] [PubMed][Green Version]
  188. Huang, T.; Yang, B.; Zheng, J.; Li, G.; Wahlqvist, M.L.; Li, D. Cardiovascular disease mortality and cancer incidence in vegetarians: A meta-analysis and systematic review. Ann. Nutr. Metab. 2012, 60, 233–240. [Google Scholar] [CrossRef]
  189. Shahavandi, M.; Djafari, F.; Shahinfar, H.; Davarzani, S.; Babaei, N.; Ebaditabar, M.; Djafarian, K.; Clark, C.C.T.; Shab-Bidar, S. The association of plant-based dietary patterns with visceral adiposity, lipid accumulation product, and triglyceride-glucose index in Iranian adults. Complement. Ther. Med. 2020, 53, 102531. [Google Scholar] [CrossRef] [PubMed]
  190. Tonstad, S.; Butler, T.; Yan, R.; Fraser, G.E. Type of vegetarian diet, body weight, and prevalence of type 2 diabetes. Diabetes Care 2009, 32, 791–796. [Google Scholar] [CrossRef][Green Version]
  191. Wright, N.; Wilson, L.; Smith, M.; Duncan, B.; McHugh, P. The BROAD study: A randomised controlled trial using a whole food plant-based diet in the community for obesity, ischaemic heart disease or diabetes. Nutr. Diabetes 2017, 7, e256. [Google Scholar] [CrossRef] [PubMed]
  192. Westerterp-Plantenga, M.S.; Nieuwenhuizen, A.; Tomé, D.; Soenen, S.; Westerterp, K.R. Dietary protein, weight loss, and weight maintenance. Annu. Rev. Nutr. 2009, 29, 21–41. [Google Scholar] [CrossRef][Green Version]
  193. Jayarathne, S.; Koboziev, I.; Park, O.H.; Oldewage-Theron, W.; Shen, C.L.; Moustaid-Moussa, N. Anti-Inflammatory and Anti-Obesity Properties of Food Bioactive Components: Effects on Adipose Tissue. Prev. Nutr. Food Sci. 2017, 22, 251–262. [Google Scholar] [CrossRef][Green Version]
  194. Siriwardhana, N.; Kalupahana, N.S.; Cekanova, M.; LeMieux, M.; Greer, B.; Moustaid-Moussa, N. Modulation of adipose tissue inflammation by bioactive food compounds. J. Nutr. Biochem. 2013, 24, 613–623. [Google Scholar] [CrossRef] [PubMed]
  195. Torres-Fuentes, C.; Schellekens, H.; Dinan, T.G.; Cryan, J.F. A natural solution for obesity: Bioactives for the prevention and treatment of weight gain. A review. Nutr. Neurosci. 2015, 18, 49–65. [Google Scholar] [CrossRef]
  196. Sobiecki, J.G.; Appleby, P.N.; Bradbury, K.E.; Key, T.J. High compliance with dietary recommendations in a cohort of meat eaters, fish eaters, vegetarians, and vegans: Results from the European Prospective Investigation into Cancer and Nutrition-Oxford study. Nutr. Res. 2016, 36, 464–477. [Google Scholar] [CrossRef][Green Version]
  197. Thompson, W.G.; Holdman, N.R.; Janzow, D.J.; Slezak, J.M.; Morris, K.L.; Zemel, M.B. Effect of energy-reduced diets high in dairy products and fiber on weight loss in obese adults. Obes. Res. 2005, 13, 1344–1353. [Google Scholar] [CrossRef] [PubMed]
  198. Brown, L.; Rosner, B.; Willett, W.W.; Sacks, F.M. Cholesterol-lowering effects of dietary fiber: A meta-analysis. Am. J. Clin. Nutr. 1999, 69, 30–42. [Google Scholar] [CrossRef] [PubMed]
  199. Melina, V.; Craig, W.; Levin, S. Position of the Academy of Nutrition and Dietetics: Vegetarian diets. J. Acad. Nutr. Diet. 2016, 116, 1970–1980. [Google Scholar] [CrossRef]
  200. Baden, M.Y.; Satija, A.; Hu, F.B.; Huang, T. Change in plant-based diet quality is associated with changes in plasma adiposity-associated biomarker concentrations in women. J. Nutr. 2019, 149, 676–686. [Google Scholar] [CrossRef] [PubMed]
  201. McCarty, M.F. Promotion of hepatic lipid oxidation and gluconeogenesis as a strategy for appetite control. Med. Hypotheses 1994, 42, 215–225. [Google Scholar] [CrossRef]
  202. McCarty, M.F. Vegan proteins may reduce risk of cancer, obesity, and cardiovascular disease by promoting increased glucagon activity. Med. Hypotheses 1999, 53, 459–485. [Google Scholar] [CrossRef][Green Version]
  203. Chen, Z.; Schoufour, J.D.; Rivadeneira, F.; Lamballais, S.; Ikram, M.A.; Franco, O.H.; Voortman, T. Plant-based Diet and Adiposity Over Time in a Middle-aged and Elderly Population: The Rotterdam Study. Epidemiology 2019, 30, 303–310. [Google Scholar] [CrossRef] [PubMed]
  204. Ratjen, I.; Morze, J.; Enderle, J.; Both, M.; Borggrefe, J.; Müller, H.-P.; Kassubek, J.; Koch, M.; Lieb, W. Adherence to a plant-based diet in relation to adipose tissue volumes and liver fat content. Am. J. Clin. Nutr. 2020, 112, 354–363. [Google Scholar] [CrossRef]
  205. Turner-McGrievy, G.M.; Davidson, C.R.; Wingard, E.E.; Wilcox, S.; Frongillo, E.A. Comparative effectiveness of plant-based diets for weight loss: A randomized controlled trial of five different diets. Nutrition 2015, 31, 350–358. [Google Scholar] [CrossRef]
  206. McEvoy, C.T.; Temple, N.; Woodside, J.V. Vegetarian diets, low-meat diets and health: A review. Public Health Nutr. 2012, 15, 2287–2294. [Google Scholar] [CrossRef][Green Version]
  207. Patterson, R.E.; Laughlin, G.A.; LaCroix, A.Z.; Hartman, S.J.; Natarajan, L.; Senger, C.M.; Martínez, M.E.; Villaseñor, A.; Sears, D.D.; Marinac, C.R.; et al. Intermittent Fasting and Human Metabolic Health. J. Acad. Nutr. Diet. 2015, 115, 1203–1212. [Google Scholar] [CrossRef][Green Version]
  208. Mattson, M.P.; Moehl, K.; Ghena, N.; Schmaedick, M.; Cheng, A. Intermittent metabolic switching, neuroplasticity and brain health. Nat. Rev. Neurosci. 2018, 19, 63–80. [Google Scholar] [CrossRef] [PubMed]
  209. Varady, K.A.; Bhutani, S.; Church, E.C.; Klempel, M.C. Short-term modified alternate-day fasting: A novel dietary strategy for weight loss and cardioprotection in obese adults. Am. J. Clin. Nutr. 2009, 90, 1138–1143. [Google Scholar] [CrossRef][Green Version]
  210. Barnosky, A.R.; Hoddy, K.K.; Unterman, T.G.; Varady, K.A. Intermittent fasting vs daily calorie restriction for type 2 diabetes prevention: A review of human findings. Transl. Res. 2014, 164, 302–311. [Google Scholar] [CrossRef] [PubMed]
  211. Varady, K.A. Intermittent versus daily calorie restriction: Which diet regimen is more effective for weight loss? Obes. Rev. 2011, 12, e593–e601. [Google Scholar] [CrossRef]
  212. Harvie, M.N.; Pegington, M.; Mattson, M.P.; Frystyk, J.; Dillon, B.; Evans, G.; Cuzick, J.; Jebb, S.A.; Martin, B.; Cutler, R.G.; et al. The effects of intermittent or continuous energy restriction on weight loss and metabolic disease risk markers: A randomized trial in young overweight women. Int. J. Obes. 2011, 35, 714–727. [Google Scholar] [CrossRef] [PubMed][Green Version]
  213. Schübel, R.; Nattenmüller, J.; Sookthai, D.; Nonnenmacher, T.; Graf, M.E.; Riedl, L.; Schlett, C.L.; von Stackelberg, O.; Johnson, T.; Nabers, D.; et al. Effects of intermittent and continuous calorie restriction on body weight and metabolism over 50 wk: A randomized controlled trial. Am. J. Clin. Nutr. 2018, 108, 933–945. [Google Scholar] [CrossRef]
  214. Trepanowski, J.F.; Kroeger, C.M.; Barnosky, A.; Klempel, M.C.; Bhutani, S.; Hoddy, K.K.; Gabel, K.; Freels, S.; Rigdon, J.; Rood, J.; et al. Effect of Alternate-Day Fasting on Weight Loss, Weight Maintenance, and Cardioprotection Among Metabolically Healthy Obese Adults: A Randomized Clinical Trial. JAMA Intern. Med. 2017, 177, 930–938. [Google Scholar] [CrossRef] [PubMed]
  215. Harvie, M.; Howell, A. Potential Benefits and Harms of Intermittent Energy Restriction and Intermittent Fasting Amongst Obese, Overweight and Normal Weight Subjects-A Narrative Review of Human and Animal Evidence. Behav. Sci. 2017, 7, 4. [Google Scholar] [CrossRef] [PubMed][Green Version]
  216. Jones, W. (Trans.) Hippocrates; Harvard University Press: Cambridge, MA, USA, 1952. [Google Scholar]
  217. Holloszy, J.O. Biochemical Adaptations in Muscle: Effects of Exercise on Mitochondrial Oxygen Uptake and Respiratory Enzyme Activity in Skeletal Muscle. J. Biol. Chem. 1967, 242, 2278–2282. [Google Scholar] [CrossRef]
  218. Bergström, J.; Hermansen, L.; Hultman, E.; Saltin, B. Diet, muscle glycogen and physical performance. Acta Physiol. Scand. 1967, 71, 140–150. [Google Scholar] [CrossRef] [PubMed]
  219. Hermansen, L.; Hultman, E.; Saltin, B. Muscle glycogen during prolonged severe exercise. Acta Physiol. Scand. 1967, 71, 129–139. [Google Scholar] [CrossRef] [PubMed]
  220. Booth, F.W.; Roberts, C.K.; Laye, M.J. Lack of exercise is a major cause of chronic diseases. Compr. Physiol. 2012, 2, 1143–1211. [Google Scholar] [CrossRef][Green Version]
  221. Barde, Y.A.; Edgar, D.; Thoenen, H. Purification of a new neurotrophic factor from mammalian brain. EMBO J. 1982, 1, 549–553. [Google Scholar] [CrossRef] [PubMed]
  222. Matthews, V.B.; Astrom, M.B.; Chan, M.H.; Bruce, C.R.; Krabbe, K.S.; Prelovsek, O.; Akerstrom, T.; Yfanti, C.; Broholm, C.; Mortensen, O.H.; et al. Brain-derived neurotrophic factor is produced by skeletal muscle cells in response to contraction and enhances fat oxidation via activation of AMP-activated protein kinase. Diabetologia 2009, 52, 1409–1418. [Google Scholar] [CrossRef][Green Version]
  223. Schnyder, S.; Handschin, C. Skeletal muscle as an endocrine organ: PGC-1alpha, myokines and exercise. Bone 2015, 80, 115–125. [Google Scholar] [CrossRef][Green Version]
  224. Xu, B.; Goulding, E.H.; Zang, K.; Cepoi, D.; Cone, R.D.; Jones, K.R.; Tecott, L.H.; Reichardt, L.F. Brain-derived neurotrophic factor regulates energy balance downstream of melanocortin-4 receptor. Nat. Neurosci. 2003, 6, 736–742. [Google Scholar] [CrossRef][Green Version]
  225. Rios, M.; Fan, G.; Fekete, C.; Kelly, J.; Bates, B.; Kuehn, R.; Lechan, R.M.; Jaenisch, R. Conditional deletion of brain-derived neurotrophic factor in the postnatal brain leads to obesity and hyperactivity. Mol. Endocrinol. 2001, 15, 1748–1757. [Google Scholar] [CrossRef]
  226. Kernie, S.G.; Liebl, D.J.; Parada, L.F. BDNF regulates eating behavior and locomotor activity in mice. EMBO J. 2000, 19, 1290–1300. [Google Scholar] [CrossRef][Green Version]
  227. Lyons, W.E.; Mamounas, L.A.; Ricaurte, G.A.; Coppola, V.; Reid, S.W.; Bora, S.H.; Wihler, C.; Koliatsos, V.E.; Tessarollo, L. Brain-derived neurotrophic factor-deficient mice develop aggressiveness and hyperphagia in conjunction with brain serotonergic abnormalities. Proc. Natl. Acad. Sci. USA 1999, 96, 15239–15244. [Google Scholar] [CrossRef][Green Version]
  228. Yang, H.; An, J.J.; Sun, C.; Xu, B. Regulation of Energy Balance via BDNF Expressed in Nonparaventricular Hypothalamic Neurons. Mol. Endocrinol. 2016, 30, 494–503. [Google Scholar] [CrossRef][Green Version]
  229. Wang, C.; Bomberg, E.; Billington, C.; Levine, A.; Kotz, C.M. Brain-derived neurotrophic factor in the hypothalamic paraventricular nucleus increases energy expenditure by elevating metabolic rate. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2007, 293, R992–R1002. [Google Scholar] [CrossRef] [PubMed][Green Version]
  230. Westerterp-Plantenga, M.S.; Verwegen, C.R.; Ijedema, M.J.; Wijckmans, N.E.; Saris, W.H. Acute effects of exercise or sauna on appetite in obese and nonobese men. Physiol. Behav. 1997, 62, 1345–1354. [Google Scholar] [CrossRef]
  231. Egan, B.; Zierath, J.R. Exercise metabolism and the molecular regulation of skeletal muscle adaptation. Cell Metab. 2013, 17, 162–184. [Google Scholar] [CrossRef] [PubMed][Green Version]
  232. Hazell, T.J.; Islam, H.; Townsend, L.K.; Schmale, M.S.; Copeland, J.L. Effects of exercise intensity on plasma concentrations of appetite-regulating hormones: Potential mechanisms. Appetite 2016, 98, 80–88. [Google Scholar] [CrossRef] [PubMed]
  233. Hawley, J.A.; Hargreaves, M.; Joyner, M.J.; Zierath, J.R. Integrative Biology of Exercise. Cell 2014, 159, 738–749. [Google Scholar] [CrossRef][Green Version]
  234. Cheng, A.; Wan, R.; Yang, J.L.; Kamimura, N.; Son, T.G.; Ouyang, X.; Luo, Y.; Okun, E.; Mattson, M.P. Involvement of PGC-1alpha in the formation and maintenance of neuronal dendritic spines. Nat. Commun. 2012, 3, 1250. [Google Scholar] [CrossRef][Green Version]
  235. Krabbe, K.S.; Nielsen, A.R.; Krogh-Madsen, R.; Plomgaard, P.; Rasmussen, P.; Erikstrup, C.; Fischer, C.P.; Lindegaard, B.; Petersen, A.M.; Taudorf, S.; et al. Brain-derived neurotrophic factor (BDNF) and type 2 diabetes. Diabetologia 2007, 50, 431–438. [Google Scholar] [CrossRef]
  236. Han, J.C.; Liu, Q.R.; Jones, M.; Levinn, R.L.; Menzie, C.M.; Jefferson-George, K.S.; Adler-Wailes, D.C.; Sanford, E.L.; Lacbawan, F.L.; Uhl, G.R.; et al. Brain-derived neurotrophic factor and obesity in the WAGR syndrome. N. Engl. J. Med. 2008, 359, 918–927. [Google Scholar] [CrossRef][Green Version]
  237. Neeper, S.A.; Gómez-Pinilla, F.; Choi, J.; Cotman, C. Exercise and brain neurotrophins. Nature 1995, 373, 109. [Google Scholar] [CrossRef] [PubMed]
  238. Vaynman, S.; Ying, Z.; Gomez-Pinilla, F. Hippocampal BDNF mediates the efficacy of exercise on synaptic plasticity and cognition. Eur. J. Neurosci. 2004, 20, 2580–2590. [Google Scholar] [CrossRef]
  239. Dinoff, A.; Herrmann, N.; Swardfager, W.; Liu, C.S.; Sherman, C.; Chan, S.; Lanctot, K.L. The Effect of Exercise Training on Resting Concentrations of Peripheral Brain-Derived Neurotrophic Factor (BDNF): A Meta-Analysis. PLoS ONE 2016, 11, e0163037. [Google Scholar] [CrossRef]
  240. Szuhany, K.L.; Bugatti, M.; Otto, M.W. A meta-analytic review of the effects of exercise on brain-derived neurotrophic factor. J. Psychiatr. Res. 2015, 60, 56–64. [Google Scholar] [CrossRef] [PubMed][Green Version]
  241. Carling, D.; Mayer, F.V.; Sanders, M.J.; Gamblin, S.J. AMP-activated protein kinase: Nature’s energy sensor. Nat. Chem. Biol. 2011, 7, 512–518. [Google Scholar] [CrossRef]
  242. Wrann, C.D.; White, J.P.; Salogiannnis, J.; Laznik-Bogoslavski, D.; Wu, J.; Ma, D.; Lin, J.D.; Greenberg, M.E.; Spiegelman, B.M. Exercise induces hippocampal BDNF through a PGC-1alpha/FNDC5 pathway. Cell Metab. 2013, 18, 649–659. [Google Scholar] [CrossRef][Green Version]
  243. Fujimura, H.; Altar, C.A.; Chen, R.; Nakamura, T.; Nakahashi, T.; Kambayashi, J.; Sun, B.; Tandon, N.N. Brain-derived neurotrophic factor is stored in human platelets and released by agonist stimulation. Thromb. Haemost. 2002, 87, 728–734. [Google Scholar] [CrossRef][Green Version]
  244. Crumpler, H.R.; Dent, C.E.; Harris, H.; Westall, R.G. beta-Aminoisobutyric acid (alpha-methyl-beta-alanine); a new amino-acid obtained from human urine. Nature 1951, 167, 307–308. [Google Scholar] [CrossRef] [PubMed]
  245. Roberts, L.D.; Bostrom, P.; O’Sullivan, J.F.; Schinzel, R.T.; Lewis, G.D.; Dejam, A.; Lee, Y.K.; Palma, M.J.; Calhoun, S.; Georgiadi, A.; et al. beta-Aminoisobutyric acid induces browning of white fat and hepatic beta-oxidation and is inversely correlated with cardiometabolic risk factors. Cell Metab. 2014, 19, 96–108. [Google Scholar] [CrossRef][Green Version]
  246. Pedersen, B.K.; Åkerström, T.C.A.; Nielsen, A.R.; Fischer, C.P. Role of myokines in exercise and metabolism. J. Appl. Physiol. 2007, 103, 1093–1098. [Google Scholar] [CrossRef][Green Version]
  247. Tanianskii, D.A.; Jarzebska, N.; Birkenfeld, A.L.; O’Sullivan, J.F.; Rodionov, R.N. Beta-Aminoisobutyric Acid as a Novel Regulator of Carbohydrate and Lipid Metabolism. Nutrients 2019, 11, 524. [Google Scholar] [CrossRef][Green Version]
  248. Stautemas, J.; Van Kuilenburg, A.B.P.; Stroomer, L.; Vaz, F.; Blancquaert, L.; Lefevere, F.B.D.; Everaert, I.; Derave, W. Acute Aerobic Exercise Leads to Increased Plasma Levels of R- and S-β-Aminoisobutyric Acid in Humans. Front. Physiol. 2019, 10, 1240. [Google Scholar] [CrossRef][Green Version]
  249. Fazelzadeh, P.; Hangelbroek, R.W.; Tieland, M.; de Groot, L.C.; Verdijk, L.B.; van Loon, L.J.; Smilde, A.K.; Alves, R.D.; Vervoort, J.; Müller, M.; et al. The Muscle Metabolome Differs between Healthy and Frail Older Adults. J. Proteome Res. 2016, 15, 499–509. [Google Scholar] [CrossRef][Green Version]
  250. Begriche, K.; Massart, J.; Abbey-Toby, A.; Igoudjil, A.; Letteron, P.; Fromenty, B. Beta-aminoisobutyric acid prevents diet-induced obesity in mice with partial leptin deficiency. Obesity 2008, 16, 2053–2067. [Google Scholar] [CrossRef]
  251. Maisonneuve, C.; Igoudjil, A.; Begriche, K.; Lettéron, P.; Guimont, M.C.; Bastin, J.; Laigneau, J.P.; Pessayre, D.; Fromenty, B. Effects of zidovudine, stavudine and beta-aminoisobutyric acid on lipid homeostasis in mice: Possible role in human fat wasting. Antivir. Ther. 2004, 9, 801–810. [Google Scholar] [PubMed]
  252. Rector, R.S.; Uptergrove, G.M.; Morris, E.M.; Borengasser, S.J.; Laughlin, M.H.; Booth, F.W.; Thyfault, J.P.; Ibdah, J.A. Daily exercise vs. caloric restriction for prevention of nonalcoholic fatty liver disease in the OLETF rat model. Am. J. Physiol. Gastrointest. Liver Physiol. 2011, 300, G874–G883. [Google Scholar] [CrossRef][Green Version]
  253. Jung, T.W.; Hwang, H.J.; Hong, H.C.; Yoo, H.J.; Baik, S.H.; Choi, K.M. BAIBA attenuates insulin resistance and inflammation induced by palmitate or a high fat diet via an AMPK-PPARδ-dependent pathway in mice. Diabetologia 2015, 58, 2096–2105. [Google Scholar] [CrossRef] [PubMed]
  254. Shi, C.X.; Zhao, M.X.; Shu, X.D.; Xiong, X.Q.; Wang, J.J.; Gao, X.Y.; Chen, Q.; Li, Y.H.; Kang, Y.M.; Zhu, G.Q. β-aminoisobutyric acid attenuates hepatic endoplasmic reticulum stress and glucose/lipid metabolic disturbance in mice with type 2 diabetes. Sci Rep. 2016, 6, 21924. [Google Scholar] [CrossRef] [PubMed][Green Version]
  255. Kitase, Y.; Vallejo, J.A.; Gutheil, W.; Vemula, H.; Jähn, K.; Yi, J.; Zhou, J.; Brotto, M.; Bonewald, L.F. β-aminoisobutyric Acid, l-BAIBA, Is a Muscle-Derived Osteocyte Survival Factor. Cell Rep. 2018, 22, 1531–1544. [Google Scholar] [CrossRef][Green Version]
  256. Note, R.; Maisonneuve, C.; Lettéron, P.; Peytavin, G.; Djouadi, F.; Igoudjil, A.; Guimont, M.C.; Biour, M.; Pessayre, D.; Fromenty, B. Mitochondrial and metabolic effects of nucleoside reverse transcriptase inhibitors (NRTIs) in mice receiving one of five single- and three dual-NRTI treatments. Antimicrob. Agents Chemother. 2003, 47, 3384–3392. [Google Scholar] [CrossRef] [PubMed][Green Version]
  257. Harper, A.E.; Miller, R.H.; Block, K.P. Branched-chain amino acid metabolism. Annu. Rev. Nutr. 1984, 4, 409–454. [Google Scholar] [CrossRef] [PubMed]
  258. Short, K.R.; Chadwick, J.Q.; Teague, A.M.; Tullier, M.A.; Wolbert, L.; Coleman, C.; Copeland, K.C. Effect of Obesity and Exercise Training on Plasma Amino Acids and Amino Metabolites in American Indian Adolescents. J. Clin. Endocrinol. Metab. 2019, 104, 3249–3261. [Google Scholar] [CrossRef] [PubMed]
  259. van Hall, G.; Steensberg, A.; Sacchetti, M.; Fischer, C.; Keller, C.; Schjerling, P.; Hiscock, N.; Moller, K.; Saltin, B.; Febbraio, M.A.; et al. Interleukin-6 stimulates lipolysis and fat oxidation in humans. J. Clin. Endocrinol. Metab. 2003, 88, 3005–3010. [Google Scholar] [CrossRef]
  260. Steensberg, A.; van Hall, G.; Osada, T.; Sacchetti, M.; Saltin, B.; Klarlund Pedersen, B. Production of interleukin-6 in contracting human skeletal muscles can account for the exercise-induced increase in plasma interleukin-6. J. Physiol. 2000, 529, 237–242. [Google Scholar] [CrossRef] [PubMed]
  261. Kern, L.; Mittenbuhler, M.J.; Vesting, A.J.; Ostermann, A.L.; Wunderlich, C.M.; Wunderlich, F.T. Obesity-Induced TNFalpha and IL-6 Signaling: The Missing Link between Obesity and Inflammation-Driven Liver and Colorectal Cancers. Cancers 2018, 11, 24. [Google Scholar] [CrossRef][Green Version]
  262. Bastard, J.P.; Jardel, C.; Bruckert, E.; Blondy, P.; Capeau, J.; Laville, M.; Vidal, H.; Hainque, B. Elevated levels of interleukin 6 are reduced in serum and subcutaneous adipose tissue of obese women after weight loss. J. Clin. Endocrinol. Metab. 2000, 85, 3338–3342. [Google Scholar] [CrossRef]
  263. Fischer, C.P.; Berntsen, A.; Perstrup, L.B.; Eskildsen, P.; Pedersen, B.K. Plasma levels of interleukin-6 and C-reactive protein are associated with physical inactivity independent of obesity. Scand. J. Med. Sci. Sports 2007, 17, 580–587. [Google Scholar] [CrossRef]
  264. Bruun, J.M.; Verdich, C.; Toubro, S.; Astrup, A.; Richelsen, B. Association between measures of insulin sensitivity and circulating levels of interleukin-8, interleukin-6 and tumor necrosis factor-alpha. Effect of weight loss in obese men. Eur. J. Endocrinol. 2003, 148, 535–542. [Google Scholar] [CrossRef][Green Version]
  265. Kado, S.; Nagase, T.; Nagata, N. Circulating levels of interleukin-6, its soluble receptor and interleukin-6/interleukin-6 receptor complexes in patients with type 2 diabetes mellitus. Acta Diabetol. 1999, 36, 67–72. [Google Scholar] [CrossRef] [PubMed]
  266. Fisman, E.Z.; Benderly, M.; Esper, R.J.; Behar, S.; Boyko, V.; Adler, Y.; Tanne, D.; Matas, Z.; Tenenbaum, A. Interleukin-6 and the risk of future cardiovascular events in patients with angina pectoris and/or healed myocardial infarction. Am. J. Cardiol. 2006, 98, 14–18. [Google Scholar] [CrossRef]
  267. Cottam, D.R.; Mattar, S.G.; Barinas-Mitchell, E.; Eid, G.; Kuller, L.; Kelley, D.E.; Schauer, P.R. The chronic inflammatory hypothesis for the morbidity associated with morbid obesity: Implications and effects of weight loss. Obes. Surg. 2004, 14, 589–600. [Google Scholar] [CrossRef]
  268. Wedell-Neergaard, A.S.; Lang Lehrskov, L.; Christensen, R.H.; Legaard, G.E.; Dorph, E.; Larsen, M.K.; Launbo, N.; Fagerlind, S.R.; Seide, S.K.; Nymand, S.; et al. Exercise-Induced Changes in Visceral Adipose Tissue Mass Are Regulated by IL-6 Signaling: A Randomized Controlled Trial. Cell Metab. 2019, 29, 844–855.e3. [Google Scholar] [CrossRef]
  269. Pedersen, B.K.; Febbraio, M.A. Muscle as an endocrine organ: Focus on muscle-derived interleukin-6. Physiol. Rev. 2008, 88, 1379–1406. [Google Scholar] [CrossRef] [PubMed][Green Version]
  270. Ostrowski, K.; Rohde, T.; Asp, S.; Schjerling, P.; Pedersen, B.K. Pro- and anti-inflammatory cytokine balance in strenuous exercise in humans. J. Physiol. 1999, 515, 287–291. [Google Scholar] [CrossRef] [PubMed]
  271. Bruunsgaard, H.; Galbo, H.; Halkjaer-Kristensen, J.; Johansen, T.L.; MacLean, D.A.; Pedersen, B.K. Exercise-induced increase in serum interleukin-6 in humans is related to muscle damage. J. Physiol. 1997, 499, 833–841. [Google Scholar] [CrossRef][Green Version]
  272. Nybo, L.; Nielsen, B.; Pedersen, B.K.; Møller, K.; Secher, N.H. Interleukin-6 release from the human brain during prolonged exercise. J. Physiol. 2002, 542, 991–995. [Google Scholar] [CrossRef]
  273. Fischer, C.P. Interleukin-6 in acute exercise and training: What is the biological relevance? Exerc. Immunol. Rev. 2006, 12, 6–33. [Google Scholar] [PubMed]
  274. Starkie, R.L.; Angus, D.J.; Rolland, J.; Hargreaves, M.; Febbraio, M.A. Effect of prolonged, submaximal exercise and carbohydrate ingestion on monocyte intracellular cytokine production in humans. J. Physiol. 2000, 528, 647–655. [Google Scholar] [CrossRef]
  275. Wallenius, V.; Wallenius, K.; Ahrén, B.; Rudling, M.; Carlsten, H.; Dickson, S.L.; Ohlsson, C.; Jansson, J.O. Interleukin-6-deficient mice develop mature-onset obesity. Nat. Med. 2002, 8, 75–79. [Google Scholar] [CrossRef]
  276. Carey, A.L.; Steinberg, G.R.; Macaulay, S.L.; Thomas, W.G.; Holmes, A.G.; Ramm, G.; Prelovsek, O.; Hohnen-Behrens, C.; Watt, M.J.; James, D.E.; et al. Interleukin-6 increases insulin-stimulated glucose disposal in humans and glucose uptake and fatty acid oxidation in vitro via AMP-activated protein kinase. Diabetes 2006, 55, 2688–2697. [Google Scholar] [CrossRef][Green Version]
  277. Petersen, E.W.; Carey, A.L.; Sacchetti, M.; Steinberg, G.R.; Macaulay, S.L.; Febbraio, M.A.; Pedersen, B.K. Acute IL-6 treatment increases fatty acid turnover in elderly humans in vivo and in tissue culture in vitro. Am. J. Physiol. Endocrinol. Metab. 2005, 288, E155–E162. [Google Scholar] [CrossRef] [PubMed]
  278. Kahn, B.B.; Alquier, T.; Carling, D.; Hardie, D.G. AMP-activated protein kinase: Ancient energy gauge provides clues to modern understanding of metabolism. Cell Metab. 2005, 1, 15–25. [Google Scholar] [CrossRef] [PubMed][Green Version]
  279. Wolsk, E.; Mygind, H.; Grøndahl, T.S.; Pedersen, B.K.; van Hall, G. IL-6 selectively stimulates fat metabolism in human skeletal muscle. Am. J. Physiol. Endocrinol. Metab. 2010, 299, E832–E840. [Google Scholar] [CrossRef] [PubMed][Green Version]
  280. Nadeau, L.; Aguer, C. Interleukin-15 as a myokine: Mechanistic insight into its effect on skeletal muscle metabolism. Appl. Physiol. Nutr. Metab. 2019, 44, 229–238. [Google Scholar] [CrossRef]
  281. Tagaya, Y.; Kurys, G.; Thies, T.A.; Losi, J.M.; Azimi, N.; Hanover, J.A.; Bamford, R.N.; Waldmann, T.A. Generation of secretable and nonsecretable interleukin 15 isoforms through alternate usage of signal peptides. Proc. Natl. Acad. Sci. USA 1997, 94, 14444–14449. [Google Scholar] [CrossRef][Green Version]
  282. Azimi, N.; Brown, K.; Bamford, R.N.; Tagaya, Y.; Siebenlist, U.; Waldmann, T.A. Human T cell lymphotropic virus type I Tax protein trans-activates interleukin 15 gene transcription through an NF-kappaB site. Proc. Natl. Acad. Sci. USA 1998, 95, 2452–2457. [Google Scholar] [CrossRef] [PubMed][Green Version]
  283. Tamura, Y.; Watanabe, K.; Kantani, T.; Hayashi, J.; Ishida, N.; Kaneki, M. Upregulation of circulating IL-15 by treadmill running in healthy individuals: Is IL-15 an endocrine mediator of the beneficial effects of endurance exercise? Endocr. J. 2011, 58, 211–215. [Google Scholar] [CrossRef] [PubMed][Green Version]
  284. Bergamaschi, C.; Rosati, M.; Jalah, R.; Valentin, A.; Kulkarni, V.; Alicea, C.; Zhang, G.M.; Patel, V.; Felber, B.K.; Pavlakis, G.N. Intracellular interaction of interleukin-15 with its receptor alpha during production leads to mutual stabilization and increased bioactivity. J. Biol. Chem. 2008, 283, 4189–4199. [Google Scholar] [CrossRef] [PubMed][Green Version]
  285. Quinn, L.S.; Anderson, B.G. Interleukin-15, IL-15 Receptor-Alpha, and Obesity: Concordance of Laboratory Animal and Human Genetic Studies. J. Obes. 2011, 2011, 456347. [Google Scholar] [CrossRef] [PubMed][Green Version]
  286. Quinn, L.S.; Anderson, B.G.; Strait-Bodey, L.; Stroud, A.M.; Argilés, J.M. Oversecretion of interleukin-15 from skeletal muscle reduces adiposity. Am. J. Physiol. Endocrinol. Metab. 2009, 296, E191–E202. [Google Scholar] [CrossRef][Green Version]
  287. Almendro, V.; Busquets, S.; Ametller, E.; Carbo, N.; Figueras, M.; Fuster, G.; Argiles, J.M.; Lopez-Soriano, F.J. Effects of interleukin-15 on lipid oxidation: Disposal of an oral [(14)C]-triolein load. Biochim. Biophys. Acta 2006, 1761, 37–42. [Google Scholar] [CrossRef] [PubMed]
  288. Nadeau, L.; Patten, D.A.; Caron, A.; Garneau, L.; Pinault-Masson, E.; Foretz, M.; Haddad, P.; Anderson, B.G.; Quinn, L.S.; Jardine, K.; et al. IL-15 improves skeletal muscle oxidative metabolism and glucose uptake in association with increased respiratory chain supercomplex formation and AMPK pathway activation. Biochim. Biophys. Acta Gen. Subj. 2019, 1863, 395–407. [Google Scholar] [CrossRef]
  289. Ye, J. Beneficial metabolic activities of inflammatory cytokine interleukin 15 in obesity and type 2 diabetes. Front. Med. 2015, 9, 139–145. [Google Scholar] [CrossRef] [PubMed][Green Version]
  290. Nielsen, A.R.; Hojman, P.; Erikstrup, C.; Fischer, C.P.; Plomgaard, P.; Mounier, R.; Mortensen, O.H.; Broholm, C.; Taudorf, S.; Krogh-Madsen, R.; et al. Association between Interleukin-15 and Obesity: Interleukin-15 as a Potential Regulator of Fat Mass. J. Clin. Endocrinol. Metab. 2008, 93, 4486–4493. [Google Scholar] [CrossRef][Green Version]
  291. Alvarez, B.; Carbó, N.; López-Soriano, J.; Drivdahl, R.H.; Busquets, S.; López-Soriano, F.J.; Argilés, J.M.; Quinn, L.S. Effects of interleukin-15 (IL-15) on adipose tissue mass in rodent obesity models: Evidence for direct IL-15 action on adipose tissue. Biochim. Biophys. Acta 2002, 1570, 33–37. [Google Scholar] [CrossRef]
  292. Barra, N.G.; Palanivel, R.; Denou, E.; Chew, M.V.; Gillgrass, A.; Walker, T.D.; Kong, J.; Richards, C.D.; Jordana, M.; Collins, S.M.; et al. Interleukin-15 modulates adipose tissue by altering mitochondrial mass and activity. PLoS ONE 2014, 9, e114799. [Google Scholar] [CrossRef] [PubMed]
  293. Al-Shukaili, A.; Al-Ghafri, S.; Al-Marhoobi, S.; Al-Abri, S.; Al-Lawati, J.; Al-Maskari, M. Analysis of inflammatory mediators in type 2 diabetes patients. Int. J. Endocrinol. 2013, 2013, 976810. [Google Scholar] [CrossRef][Green Version]
  294. Pérez-López, A.; Valadés, D.; Vázquez Martínez, C.; de Cos Blanco, A.I.; Bujan, J.; García-Honduvilla, N. Serum IL-15 and IL-15Rα levels are decreased in lean and obese physically active humans. Scand. J. Med. Sci. Sports 2018, 28, 1113–1120. [Google Scholar] [CrossRef]
  295. Riechman, S.E.; Balasekaran, G.; Roth, S.M.; Ferrell, R.E. Association of interleukin-15 protein and interleukin-15 receptor genetic variation with resistance exercise training responses. J. Appl. Physiol. 2004, 97, 2214–2219. [Google Scholar] [CrossRef]
  296. Nielsen, A.R.; Mounier, R.; Plomgaard, P.; Mortensen, O.H.; Penkowa, M.; Speerschneider, T.; Pilegaard, H.; Pedersen, B.K. Expression of interleukin-15 in human skeletal muscle effect of exercise and muscle fibre type composition. J. Physiol. 2007, 584, 305–312. [Google Scholar] [CrossRef] [PubMed]
  297. Crane, J.D.; MacNeil, L.G.; Lally, J.S.; Ford, R.J.; Bujak, A.L.; Brar, I.K.; Kemp, B.E.; Raha, S.; Steinberg, G.R.; Tarnopolsky, M.A. Exercise-stimulated interleukin-15 is controlled by AMPK and regulates skin metabolism and aging. Aging Cell 2015, 14, 625–634. [Google Scholar] [CrossRef] [PubMed]
  298. Rinnov, A.; Yfanti, C.; Nielsen, S.; Akerstrom, T.C.; Peijs, L.; Zankari, A.; Fischer, C.P.; Pedersen, B.K. Endurance training enhances skeletal muscle interleukin-15 in human male subjects. Endocrine 2014, 45, 271–278. [Google Scholar] [CrossRef]
  299. Ostrowski, K.; Hermann, C.; Bangash, A.; Schjerling, P.; Nielsen, J.N.; Pedersen, B.K. A trauma-like elevation of plasma cytokines in humans in response to treadmill running. J. Physiol. 1998, 513, 889–894. [Google Scholar] [CrossRef] [PubMed]
  300. Stoklasek, T.A.; Schluns, K.S.; Lefrançois, L. Combined IL-15/IL-15Ralpha immunotherapy maximizes IL-15 activity in vivo. J. Immunol. 2006, 177, 6072–6080. [Google Scholar] [CrossRef][Green Version]
  301. Tsiloulis, T.; Watt, M.J. Exercise and the Regulation of Adipose Tissue Metabolism. Prog. Mol. Biol. Transl. Sci. 2015, 135, 175–201. [Google Scholar] [CrossRef]
  302. Gorgens, S.W.; Eckardt, K.; Jensen, J.; Drevon, C.A.; Eckel, J. Exercise and Regulation of Adipokine and Myokine Production. Prog. Mol. Biol. Transl. Sci. 2015, 135, 313–336. [Google Scholar] [CrossRef] [PubMed]
  303. Hofmann, T.; Elbelt, U.; Stengel, A. Irisin as a muscle-derived hormone stimulating thermogenesis—A critical update. Peptides 2014, 54, 89–100. [Google Scholar] [CrossRef]
  304. Huh, J.Y.; Panagiotou, G.; Mougios, V.; Brinkoetter, M.; Vamvini, M.T.; Schneider, B.E.; Mantzoros, C.S. FNDC5 and irisin in humans: I. Predictors of circulating concentrations in serum and plasma and II. mRNA expression and circulating concentrations in response to weight loss and exercise. Metab. Clin. Exp. 2012, 61, 1725–1738. [Google Scholar] [CrossRef][Green Version]
  305. Fox, J.; Rioux, B.V.; Goulet, E.D.B.; Johanssen, N.M.; Swift, D.L.; Bouchard, D.R.; Loewen, H.; Sénéchal, M. Effect of an acute exercise bout on immediate post-exercise irisin concentration in adults: A meta-analysis. Scand. J. Med. Sci. Sports 2018, 28, 16–28. [Google Scholar] [CrossRef]
  306. Qiu, S.; Cai, X.; Sun, Z.; Schumann, U.; Zügel, M.; Steinacker, J.M. Chronic Exercise Training and Circulating Irisin in Adults: A Meta-Analysis. Sports Med. 2015, 45, 1577–1588. [Google Scholar] [CrossRef] [PubMed]
  307. Boström, P.; Wu, J.; Jedrychowski, M.P.; Korde, A.; Ye, L.; Lo, J.C.; Rasbach, K.A.; Boström, E.A.; Choi, J.H.; Long, J.Z.; et al. A PGC1-α-dependent myokine that drives brown-fat-like development of white fat and thermogenesis. Nature 2012, 481, 463–468. [Google Scholar] [CrossRef] [PubMed]
  308. Lee, P.; Linderman, J.D.; Smith, S.; Brychta, R.J.; Wang, J.; Idelson, C.; Perron, R.M.; Werner, C.D.; Phan, G.Q.; Kammula, U.S.; et al. Irisin and FGF21 are cold-induced endocrine activators of brown fat function in humans. Cell Metab. 2014, 19, 302–309. [Google Scholar] [CrossRef] [PubMed][Green Version]
  309. Vaughan, R.A.; Gannon, N.P.; Barberena, M.A.; Garcia-Smith, R.; Bisoffi, M.; Mermier, C.M.; Conn, C.A.; Trujillo, K.A. Characterization of the metabolic effects of irisin on skeletal muscle in vitro. Diabetes Obes. Metab. 2014, 16, 711–718. [Google Scholar] [CrossRef]
  310. Bi, J.; Zhang, J.; Ren, Y.; Du, Z.; Li, Q.; Wang, Y.; Wei, S.; Yang, L.; Zhang, J.; Liu, C.; et al. Irisin alleviates liver ischemia-reperfusion injury by inhibiting excessive mitochondrial fission, promoting mitochondrial biogenesis and decreasing oxidative stress. Redox Biol. 2019, 20, 296–306. [Google Scholar] [CrossRef]
  311. Moreno-Navarrete, J.M.; Ortega, F.; Serrano, M.; Guerra, E.; Pardo, G.; Tinahones, F.; Ricart, W.; Fernandez-Real, J.M. Irisin is expressed and produced by human muscle and adipose tissue in association with obesity and insulin resistance. J. Clin. Endocrinol. Metab. 2013, 98, E769–E778. [Google Scholar] [CrossRef] [PubMed]
  312. Puigserver, P.; Wu, Z.; Park, C.W.; Graves, R.; Wright, M.; Spiegelman, B.M. A cold-inducible coactivator of nuclear receptors linked to adaptive thermogenesis. Cell 1998, 92, 829–839. [Google Scholar] [CrossRef][Green Version]
  313. Roca-Rivada, A.; Castelao, C.; Senin, L.L.; Landrove, M.O.; Baltar, J.; Belén Crujeiras, A.; Seoane, L.M.; Casanueva, F.F.; Pardo, M. FNDC5/irisin is not only a myokine but also an adipokine. PLoS ONE 2013, 8, e60563. [Google Scholar] [CrossRef][Green Version]
  314. Perakakis, N.; Triantafyllou, G.A.; Fernandez-Real, J.M.; Huh, J.Y.; Park, K.H.; Seufert, J.; Mantzoros, C.S. Physiology and role of irisin in glucose homeostasis. Nat. Rev. Endocrinol. 2017, 13, 324–337. [Google Scholar] [CrossRef][Green Version]
  315. Polyzos, S.A.; Mathew, H.; Mantzoros, C.S. Irisin: A true, circulating hormone. Metab. Clin. Exp. 2015, 64, 1611–1618. [Google Scholar] [CrossRef]
  316. Polyzos, S.A.; Anastasilakis, A.D.; Efstathiadou, Z.A.; Makras, P.; Perakakis, N.; Kountouras, J.; Mantzoros, C.S. Irisin in metabolic diseases. Endocrine 2018, 59, 260–274. [Google Scholar] [CrossRef]
  317. Huh, J.Y.; Dincer, F.; Mesfum, E.; Mantzoros, C.S. Irisin stimulates muscle growth-related genes and regulates adipocyte differentiation and metabolism in humans. Int. J. Obes. 2014, 38, 1538–1544. [Google Scholar] [CrossRef] [PubMed]
  318. Aydin, S.; Aydin, S.; Kuloglu, T.; Yilmaz, M.; Kalayci, M.; Sahin, I.; Cicek, D. Alterations of irisin concentrations in saliva and serum of obese and normal-weight subjects, before and after 45 min of a Turkish bath or running. Peptides 2013, 50, 13–18. [Google Scholar] [CrossRef]
  319. Choi, Y.-K.; Kim, M.-K.; Bae, K.H.; Seo, H.-A.; Jeong, J.-Y.; Lee, W.-K.; Kim, J.-G.; Lee, I.-K.; Park, K.-G. Serum irisin levels in new-onset type 2 diabetes. Diabetes Res. Clin. Pract. 2013, 100, 96–101. [Google Scholar] [CrossRef] [PubMed]
  320. Zhang, Y.; Li, R.; Meng, Y.; Li, S.; Donelan, W.; Zhao, Y.; Qi, L.; Zhang, M.; Wang, X.; Cui, T.; et al. Irisin stimulates browning of white adipocytes through mitogen-activated protein kinase p38 MAP kinase and ERK MAP kinase signaling. Diabetes 2014, 63, 514–525. [Google Scholar] [CrossRef][Green Version]
  321. Xiong, X.Q.; Chen, D.; Sun, H.J.; Ding, L.; Wang, J.J.; Chen, Q.; Li, Y.H.; Zhou, Y.B.; Han, Y.; Zhang, F.; et al. FNDC5 overexpression and irisin ameliorate glucose/lipid metabolic derangements and enhance lipolysis in obesity. Biochim. Biophys. Acta 2015, 1852, 1867–1875. [Google Scholar] [CrossRef][Green Version]
  322. Park, K.H.; Zaichenko, L.; Peter, P.; Davis, C.R.; Crowell, J.A.; Mantzoros, C.S. Diet quality is associated with circulating C-reactive protein but not irisin levels in humans. Metab. Clin. Exp. 2014, 63, 233–241. [Google Scholar] [CrossRef][Green Version]
  323. Crujeiras, A.B.; Zulet, M.A.; Lopez-Legarrea, P.; de la Iglesia, R.; Pardo, M.; Carreira, M.C.; Martínez, J.A.; Casanueva, F.F. Association between circulating irisin levels and the promotion of insulin resistance during the weight maintenance period after a dietary weight-lowering program in obese patients. Metab. Clin. Exp. 2014, 63, 520–531. [Google Scholar] [CrossRef] [PubMed][Green Version]
  324. Castillo-Quan, J.I. From white to brown fat through the PGC-1α-dependent myokine irisin: Implications for diabetes and obesity. Dis. Models Mech. 2012, 5, 293–295. [Google Scholar] [CrossRef][Green Version]
  325. Murawska-Cialowicz, E.; Wojna, J.; Zuwala-Jagiello, J. Crossfit training changes brain-derived neurotrophic factor and irisin levels at rest, after wingate and progressive tests, and improves aerobic capacity and body composition of young physically active men and women. J. Physiol. Pharmacol. Off. J. Pol. Physiol. Soc. 2015, 66, 811–821. [Google Scholar]
  326. Safarimosavi, S.; Mohebbi, H.; Rohani, H. High-Intensity Interval vs. Continuous Endurance Training: Preventive Effects on Hormonal Changes and Physiological Adaptations in Prediabetes Patients. J. Strength Cond. Res. 2018. [Google Scholar] [CrossRef] [PubMed]
  327. Tsuchiya, Y.; Ijichi, T.; Goto, K. Effect of sprint training on resting serum irisin concentration—Sprint training once daily vs. twice every other day. Metab. Clin. Exp. 2016, 65, 492–495. [Google Scholar] [CrossRef]
  328. Dundar, A.; Kocahan, S.; Sahin, L. Associations of apelin, leptin, irisin, ghrelin, insulin, glucose levels, and lipid parameters with physical activity during eight weeks of regular exercise training. Arch. Physiol. Biochem. 2019, 1–5. [Google Scholar] [CrossRef]
  329. Loffler, D.; Muller, U.; Scheuermann, K.; Friebe, D.; Gesing, J.; Bielitz, J.; Erbs, S.; Landgraf, K.; Wagner, I.V.; Kiess, W.; et al. Serum Irisin Levels Are Regulated by Acute Strenuous Exercise. J. Clin. Endocrinol. Metab. 2015, 100, 1289–1299. [Google Scholar] [CrossRef] [PubMed][Green Version]
  330. Hunag, J.H.; Wang, S.; Xu, F.P.; Wang, D.; Yin, H.G.; Lai, Q.H.; Liao, J.W.; Hou, X.H.; Hu, M. Exercise training with dietary restriction enhances circulating irisin level associated with increasing endothelial progenitor cell number in obese adults: An intervention study. PeerJ 2017, 5, 18. [Google Scholar] [CrossRef][Green Version]
  331. Bluher, S.; Panagiotou, G.; Petroff, D.; Markert, J.; Wagner, A.; Klemm, T.; Filippaios, A.; Keller, A.; Mantzoros, C.S. Effects of a 1-year exercise and lifestyle intervention on irisin, adipokines, and inflammatory markers in obese children. Obesity 2014, 22, 1701–1708. [Google Scholar] [CrossRef] [PubMed]
  332. Briken, S.; Rosenkranz, S.C.; Keminer, O.; Patra, S.; Ketels, G.; Heesen, C.; Hellweg, R.; Pless, O.; Schulz, K.H.; Gold, S.M. Effects of exercise on Irisin, BDNF and IL-6 serum levels in patients with progressive multiple sclerosis. J. Neuroimmunol. 2016, 299, 53–58. [Google Scholar] [CrossRef] [PubMed]
  333. Kim, H.J.; Lee, H.J.; So, B.; Son, J.S.; Yoon, D.; Song, W. Effect of aerobic training and resistance training on circulating irisin level and their association with change of body composition in overweight/obese adults: A pilot study. Physiol. Res. 2016, 65, 271–279. [Google Scholar] [CrossRef]
  334. Tsuchiya, Y.; Ando, D.; Takamatsu, K.; Goto, K. Resistance exercise induces a greater irisin response than endurance exercise. Metab. Clin. Exp. 2015, 64, 1042–1050. [Google Scholar] [CrossRef]
  335. Tsuchiya, Y.; Ando, D.; Goto, K.; Kiuchi, M.; Yamakita, M.; Koyama, K. High-intensity exercise causes greater irisin response compared with low-intensity exercise under similar energy consumption. Tohoku J. Exp. Med. 2014, 233, 135–140. [Google Scholar] [CrossRef][Green Version]
  336. Rao, R.R.; Long, J.Z.; White, J.P.; Svensson, K.J.; Lou, J.; Lokurkar, I.; Jedrychowski, M.P.; Ruas, J.L.; Wrann, C.D.; Lo, J.C.; et al. Meteorin-like is a hormone that regulates immune-adipose interactions to increase beige fat thermogenesis. Cell 2014, 157, 1279–1291. [Google Scholar] [CrossRef][Green Version]
  337. Zheng, S.L.; Li, Z.Y.; Song, J.; Liu, J.M.; Miao, C.Y. Metrnl: A secreted protein with new emerging functions. Acta Pharmacol. Sin. 2016, 37, 571–579. [Google Scholar] [CrossRef][Green Version]
  338. Li, Z.-Y.; Song, J.; Zheng, S.-L.; Fan, M.-B.; Guan, Y.-F.; Qu, Y.; Xu, J.; Wang, P.; Miao, C.-Y. Adipocyte Metrnl Antagonizes Insulin Resistance Through PPARγ Signaling. Diabetes 2015, 64, 4011–4022. [Google Scholar] [CrossRef][Green Version]
  339. Jørgensen, J.R.; Fransson, A.; Fjord-Larsen, L.; Thompson, L.H.; Houchins, J.P.; Andrade, N.; Torp, M.; Kalkkinen, N.; Andersson, E.; Lindvall, O.; et al. Cometin is a novel neurotrophic factor that promotes neurite outgrowth and neuroblast migration in vitro and supports survival of spiral ganglion neurons in vivo. Exp. Neurol. 2012, 233, 172–181. [Google Scholar] [CrossRef] [PubMed][Green Version]
  340. Onalan, E.; Cavli, C.; Dogan, Y.; Onalan, E.; Gozel, N.; Buran, I.; Yakar, B.; Donder, E. Low serum levels of meteorin-like/subfatin: An indicator of diabetes mellitus and insulin resistance? Endokrynol. Pol. 2020, 71, 397–403. [Google Scholar] [CrossRef] [PubMed]
  341. Sobieh, B.H.; Kassem, D.H.; Zakaria, Z.M.; El-Mesallamy, H.O. Potential emerging roles of the novel adipokines adipolin/CTRP12 and meteorin-like/METRNL in obesity-osteoarthritis interplay. Cytokine 2021, 138, 155368. [Google Scholar] [CrossRef]
  342. AlKhairi, I.; Cherian, P.; Abu-Farha, M.; Madhoun, A.A.; Nizam, R.; Melhem, M.; Jamal, M.; Al-Sabah, S.; Ali, H.; Tuomilehto, J.; et al. Increased Expression of Meteorin-Like Hormone in Type 2 Diabetes and Obesity and Its Association with Irisin. Cells 2019, 8, 1283. [Google Scholar] [CrossRef][Green Version]
  343. Wang, K.; Li, F.; Wang, C.; Deng, Y.; Cao, Z.; Cui, Y.; Xu, K.; Ln, P.; Sun, Y. Serum Levels of Meteorin-Like (Metrnl) Are Increased in Patients with Newly Diagnosed Type 2 Diabetes Mellitus and Are Associated with Insulin Resistance. Med. Sci. Monit. 2019, 25, 2337–2343. [Google Scholar] [CrossRef] [PubMed]
  344. Bae, J.Y. Aerobic Exercise Increases Meteorin-Like Protein in Muscle and Adipose Tissue of Chronic High-Fat Diet-Induced Obese Mice. Biomed. Res. Int. 2018, 2018, 6283932. [Google Scholar] [CrossRef] [PubMed][Green Version]
  345. Amano, Y.; Nonaka, Y.; Takeda, R.; Kano, Y.; Hoshino, D. Effects of electrical stimulation-induced resistance exercise training on white and brown adipose tissues and plasma meteorin-like concentration in rats. Physiol. Rep. 2020, 8, e14540. [Google Scholar] [CrossRef]
  346. Eaton, M.; Granata, C.; Barry, J.; Safdar, A.; Bishop, D.; Little, J.P. Impact of a single bout of high-intensity interval exercise and short-term interval training on interleukin-6, FNDC5, and METRNL mRNA expression in human skeletal muscle. J. Sport Health Sci. 2018, 7, 191–196. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Potential role of exercise-induced myokines. ↑ values increase. Nutrients 13 01459 i001 ↑ small change or no change. ↑↑ modest change. ↑↑↑ large change. FM fat mass. SKM skeletal muscle.
Figure 1. Potential role of exercise-induced myokines. ↑ values increase. Nutrients 13 01459 i001 ↑ small change or no change. ↑↑ modest change. ↑↑↑ large change. FM fat mass. SKM skeletal muscle.
Nutrients 13 01459 g001
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Atakan, M.M.; Koşar, Ş.N.; Güzel, Y.; Tin, H.T.; Yan, X. The Role of Exercise, Diet, and Cytokines in Preventing Obesity and Improving Adipose Tissue. Nutrients 2021, 13, 1459.

AMA Style

Atakan MM, Koşar ŞN, Güzel Y, Tin HT, Yan X. The Role of Exercise, Diet, and Cytokines in Preventing Obesity and Improving Adipose Tissue. Nutrients. 2021; 13(5):1459.

Chicago/Turabian Style

Atakan, Muhammed Mustafa, Şükran Nazan Koşar, Yasemin Güzel, Hiu Tung Tin, and Xu Yan. 2021. "The Role of Exercise, Diet, and Cytokines in Preventing Obesity and Improving Adipose Tissue" Nutrients 13, no. 5: 1459.

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop