Next Article in Journal
Resveratrol and SIRT1: Antiaging Cornerstones for Oocytes?
Previous Article in Journal
The Power of Suggestion: Subjective Satiety Is Affected by Nutrient and Health-Focused Food Labelling with No Effect on Physiological Gut Hormone Release
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Nutraceuticals and the Network of Obesity Modulators

by
Sergio Ammendola
1,* and
Anna Scotto d’Abusco
2,*
1
Ambiotec di Sergio Ammendola, 04012 Cisterna di Latina (LT), Italy
2
Department of Biochemical Sciences, Sapienza University of Rome, 00185 Rome, Italy
*
Authors to whom correspondence should be addressed.
Nutrients 2022, 14(23), 5099; https://doi.org/10.3390/nu14235099
Submission received: 5 November 2022 / Revised: 24 November 2022 / Accepted: 29 November 2022 / Published: 1 December 2022
(This article belongs to the Section Nutrition and Obesity)

Abstract

:
Obesity is considered an increasingly widespread disease in the world population, regardless of age and gender. Genetic but also lifestyle-dependent causes have been identified. Nutrition and physical exercise play an important role, especially in non-genetic obesity. In a three-compartment model, the body is divided into fat mass, fat-free mass and water, and obesity can be considered a condition in which the percentage of total fat mass is in excess. People with a high BMI index or overweight use self-medications, such as food supplements or teas, with the aim to prevent or treat their problem. Unfortunately, there are several obesity modulators that act both on the pathways that promote adipogenesis and those that inhibit lipolysis. Moreover, these pathways involve different tissues and organs, so it is very difficult to identify anti-obesity substances. A network of factors and cells contributes to the accumulation of fat in completely different body districts. The identification of natural anti-obesity agents should consider this network, which we would like to call “obesosome”. The nutrigenomic, nutrigenetic and epigenetic contribute to making the identification of active compounds very difficult. This narrative review aims to highlight nutraceuticals that, in vitro or in vivo, showed an anti-obesity activity or were found to be useful in the control of dysfunctions which are secondary to obesity. The results suggest that it is not possible to use a single compound to treat obesity, but that the studies have to be addressed towards the identification of mixtures of nutraceuticals.

1. Introduction

Obesity is an individual condition in which the percentage of fat mass exceeds the lean mass, causing the development of secondary diseases such as diabetes, kidney insufficiency, osteoarthritis and cardiovascular diseases. The body mass distribution can be ascertained by performing a bioimpedentiometry, which gathers information on the nutritional status of an individual. The three-compartment model is widely used to estimate body composition. According to this model the total body mass is divided into fat mass (FM), fat-free mass (FFM) and total body water (TWB). The relative percentage of each compartment correlates with a range that is typical of each ethnic group [1]. The differences between males and females, of same age, provide the reference intervals of Body Mass Index (BMI, kg/m2); generally, a BMI > 30 kg/m2 is considered obesity. In a sample of Caucasian people (n = 5635) it was observed that from young to elderly age categories, FM progressively rose by an average of 55% in males and 62% in females [2]. For Caucasians, the average fat mass does not exceed 15% in males and 27% in women. Part of the fat mass is essential, such as that which gives elasticity to cell membranes, to protect and nourish neuronal cells, and to regulate homeothermy. Another part of fat, that accumulated in adipocytes, cells specialized in storing lipids, is a source of energy. When the energy intake from food sources is higher than energy expenditure, the surplus is converted in fatty acids and stored in these cells that will proliferate, or expand their volume, in order to store more energy. The control of the balance between energy intake and expenditure is influenced by numerous factors that can cause obesity, such as those promoting the maturation of pre-adipocytes (adipogenesis) or those stimulating the lipid degradation with energy release (lipolysis). The regulation of energy expenditure, lipolysis and adipogenesis, are three of the main events whose dysregulation determines the onset of obesity [3]. Moreover, adipose tissue is composed of various cell types including adipocytes, fibroblasts, endothelial cells, and various immune cells, which are in communication each other through a paracrine and endocrine system. Preadipocytes can differentiate into white (WA), brown (BrA) and beige types (BeA) and each one has different biological activity. Moreover, the adult white cells can differentiate into brown/white-like cells, through the mechanism called transdifferentiation (browning of WA tissue) [4]. The brown and beige adipocytes have a high number of mitochondria compared to white cells and are committed to burning fat. Fibroblast and endothelial cells, surrounding the blood vessels, can cause inflammation and in turn obesity [5]. Similarly, the immune cells infiltrating inflamed adipose tissue, such as the adipose tissue macrophages (ATMs), play a causal role in obesity-induced insulin resistance. Moreover, natural killer T cells (NKs) were reported as regulators of adipose tissue inflammation in obesity. Several recruited cells contribute to increased fat mass, and it has been shown that they are associated with insulin resistance and are linked to changes in the extracellular matrix [6]. Furthermore, adipocytes and macrophages produce cathecolamines, which are at the basis of the interaction between these tissues and affect the centres of satiation [7,8]. The adipocytes secrete small molecules and proteins that regulate inter- and intra-cellular signalling. Some hormones activate lipases and induce lipolysis, while others can inhibit or promote lipogenesis. Many endogen mediators contribute to modulate these signalling elements; moreover, other factors, including the composition of the microbiota, can cause obesity. Furthermore, some intestinal microorganisms are able to promote the synthesis of short-chain fatty acids that act on the centres of hunger and affect the energy balance. Unlike an orchestra, there is no single conductor but many mediators, which can determine the hypertrophy of adipocytes or promote hyperplasia.
Nutraceuticals are natural compounds, generally having a molecular size not exceeding 3000 Da. They are not involved in primary metabolism and exhibit a health-promoting bioactivity. Computational chemistry predicts about 400,000 bioactive compounds, belonging to several chemical families, of pharmaceutical interest [9]. The complexity of obesity involves the coexistence of different signals including the epigenetic changes [10]. Therefore, an ideal composition of nutraceuticals should be able to act on all possible pathways that affect the increase in non-essential fat mass. To find a match between targets and nutraceuticals is very challenging and such studies are often based on ethnopharmacology or a cyclic process of chemical screening. In the present narrative review, we describe the effects of food supplements and teas according to popular traditions and nutraceutical composition obtained after in vitro or in vivo studies. We describe the natural products, especially herbs, containing nutraceuticals that have been shown to be helpful in preventing or treating non-genetic obesity and their putative mechanism of action. Some phytocomplexes act on lipolysis but do not prevent the hyperplasia of adipocytes. Other compounds induce thermogenesis but do not prevent the hypertrophy of adipocytes. Others are prebiotics that promote the growth of fat-consuming microorganisms, but they do not prevent the stem cells from becoming adipocytes [11]. Moreover, extracts obtained from different parts of the plants act through very different mechanisms, even if all of them share similar anti-obesity effects.
We never found the description of a nutraceutical or a composition thereof working efficiently after two years of administration. Furthermore, the compounds acting on the same target have very distant chemical structures. We grouped these biomolecules according to the mechanisms of action or similar effects on candidate targets of obesity. Although some studies have been conducted in vitro or in animal models, the results are useful in establishing a method for composing an anti-obesity agent. The ideal composition should inhibit adipogenesis and promote thermogenesis, activate lipolysis and reduce appetite. Furthermore, after a long period of administration, a composition of cooperating nutraceuticals should not induce tolerance and adaptation to agents and should have acceptable side effects.

2. Results

Adipose tissue (AT) is composed not only of adipocytes but also of macrophages, endothelial cells and preadipocytes [12]. Mesenchymal stem cells (MSCs) are the major source of adipocytes, and they initially differentiate into preadipocytes that are committed to the adipogenic lineage. Consequently, preadipocytes give rise to enlarged mature adipocytes that can synthesize lipid droplets, secrete specific adipocyte factors, and regulate energy metabolism. The differentiation of adipocytes from MSCs is believed to play a vital role in maintaining the adipose tissue homeostasis. The endothelial cells, which line blood vessels, are stimulated by adipokines and can cause unhealthy fat tissue expansion by crosstalking with adipocytes [13]. Macrophages resident in the adipose tissue are distinguished by two subtypes, the M1-like and M2-like macrophages. The M1 macrophages produce pro-inflammatory cytokines, such as Tumor Necrosis Factor (TNF)-α, interleukin IL-6 and MCP-1, which contribute to the development of insulin resistance. On the other hand, M2 macrophages are anti-inflammatory, are involved in the maintenance of tissue homeostasis, and are typically present in the adipose tissue of non-obese individuals. The imbalance between M1 and M2 macrophages has been found to be responsible for chronic inflammatory milieu in adipose tissue and insulin sensitivity. In lean individuals, macrophages dispersed throughout adipose tissues are predominantly polarized toward the M2 phenotype, while in obese individuals, an elevated number of infiltrating M1 subtype macrophages are present [14]. Different mechanisms control adipocyte differentiation and macrophage differentiation and infiltration. AMPK and PPAR pathways and the decrease of inflammatory response are the main targets of the anti-obesity strategies (Figure 1).

2.1. The Activation of AMPK Pathway

The AMP-activated protein kinase (AMPK) pathway is a crucial energy sensor that regulates energy metabolism in multiple tissues. AMPK is a conserved, ubiquitously expressed, heterotrimeric serine/threonine kinase whose short-term activation has multiple beneficial metabolic effects. Different subunits take part in the complex, which plays critical roles in regulating growth and reprogramming the metabolism [15].
The alpha subunit can phosphorylate itself in the Thr172 position or self-inhibit. The beta subunit has a glycogen-binding domain (GBD) and a domain that is able to modify its conformation by favoring the binding of the alpha subunit to the gamma. In the gamma subunit there are four AMP/ATP allosteric binding sites that regulate the activity of the complex itself. When the intracellular energy decreases, the AMP level is very high compared to ATP and ADP levels. In this condition, the AMP binds a cystathionine-beta-synthase (CBS) domain present in the gamma subunit, inducing a change in its conformation which in turn promotes the self-phosphorylation of the alpha subunits [16]. Active AMPK binds other kinases, such as calcium/calmodulin-dependent protein kinases (CaMKs) and Transformation Growth Factor (TGF)-β activated kinase-1 (TAK1).
Furthermore, AMPK is involved in the cellular processes including autophagy and cell polarization [15]. It is activated when modest decreases in ATP production result in relative increases in AMP or ADP concentration. In response, AMPK promotes catabolic pathways to generate more ATP to inhibit anabolic pathways. In brown adipocytes the activation of AMPK signaling stimulates thermogenesis. This mechanism corresponds to fat burning, which produces an increase in temperature, instead of ATP, through thermogenin or an uncoupling protein1 (UCP1) and, in turn, induces the increase in energy expenditure, leading to weight loss. However, it should be taken into consideration that the energy consumption, due to thermogenesis, represents only 10% of total energy expenditure. Furthermore, the subunit AMPKα appears to regulate the browning of white adipocytes, increasing the energy expenditure [17,18]. Activation of AMPK has been proposed as an attractive strategy for the treatment of obesity and its complications. However, some careful consideration must be taken since, in an animal model, the chronic and non-specific tissue activation of the AMPKγ2 subunit resulted in inducing hyperautophagy and dysglycemia [19]. Some nutraceuticals present in herbal extracts resulted in an ability to activate the AMPK pathway. The characterization of active substances in extracts from anti-obesity plants revealed that they reduce the absorption of glucose and, at the same time, increase its energy consumption by acting on the AMPK pathway. The Gelidium species, a red alga, has been found to act on the AMPK-PR domain-containing the 16-uncoupling protein-1 pathway (PRDM16-UCP1), with a healthy effect in obese people. Moreover, in a mice model of obesity, an extract of the red alga was found to enhance the effect of Orlistat, a known lipase inhibitor [20,21]. An extract from Paullinia cupana seeds has been found to reduce obesity by inducing the overexpression of the UCP-1 via activation of AMPK, too [18,22]. Thermogenesis can also be induced when white adipocytes differentiate in beige via a browning mechanism. Polyphenols from Zingiber officinale have been found to be able to promote adipocyte browning in an animal model [23]. WAT browning is regulated by several genes, such as UCP1, PR domain containing 16 (PRDM16), cell death activator CIDE-A and PGC-1a, whose expression is under the control of the AMPK and sirtuin 1 (SIRT1) protein [24].
Panax ginseng has been shown to contain the Ginsenoside Rg1, which is able to promote browning, by inducing UCP1 expression and by modulating the transcription factor PRDM16 and PGC1α [25,26]. However, this modulation depends on Irisin, an adipomyokine, which promotes WAT browning, acting both in adipose and muscle tissue [27,28]. Other plants have been found to induce heat dissipation, and among them the root extract from Pueraria montana var. lobata has been shown to stimulate thermogenesis in BrAs; however, other species of Puerariae have also been described as having a similar activity [29,30].
Many natural compounds, such as Capsaicin, Curcumin, polyphenols found in cranberry and flavonoids in rose, have been proposed as adipocyte browning agents [31]. Mostly used are nutraceutical compositions of extracts, such as a composition of radix from Angelicae sinensis and rhizome from Zingiber officinale. Z. officinale has also been widely reported to activate the AMPK signalling pathway [32,33]. A similar effect was observed using an ethanolic extract of Scutellaria baicalensis; in this case, however, the biological effect relates to the wingless integrated protein (WNT)/β-catenin pathway. Baicalin, and Baicalein, have been found to be active against metabolic syndrome by activation and upregulation of AMPK and PPARγ [34,35]. The AMPK pathway is also stimulated by Iris rossii, which inhibits lipid accumulation; its extract, containing mangiferin, was also found to inhibit preadipocyte differentiation [36,37]. Salvia hispanica, also known as chia, extracts act on glucose metabolism by increasing AMPK mRNA [38,39].
However, the AMPK subunits are differentially and tissue-specifically expressed, and AMPK activators (agonists) fail to function over a long time due to their non-specific activity [40] (Table 1).
Moreover, the AMPK pathway is related to the fat mass and obesity-associated (FTO) gene, which regulates the lipid accumulation in skeletal muscle via a N6-Methyladenine demethylation mechanism [41]. This type of demethylation is dependent on epigenetic changes [42]. However, the FTO gene has been also associated with genetic polymorphisms that affect the individual response to anti-obesity drugs [43].
An extract from Angelica sinensis and two extracts from Solanum melogena and S. aethipicum, respectively, have been shown to contribute to reducing obesity via modulation of the FTO gene [44,45,46,47] (Table 2).

2.2. The Inhibition of the PPAR Pathway

The peroxisome proliferator-activated receptors (PPARs) are transcription factors, grouped within the ligand-inducible nuclear hormone receptor superfamily, that positively and negatively regulate gene expression in response to the binding of a diverse array of lipid-derived hormones and metabolites. Three major isoforms, PPARα (or NR1C1), PPARβ/δ (or NR1C2), and PPARγ (or NR1C3), are implicated in the control of lipid metabolism, and they are also considered insulin sensors [48]. The different PPAR subunits are expressed in many tissues, including adipose, liver, muscle, and endothelial tissues. PPARα mainly influences fatty acid metabolism, and its activation lowers lipid levels, while PPARγ is mostly involved in the regulation of adipogenesis, the energy balance, and lipid biosynthesis, and its activation affects insulin resistance [49]. PPARβ/δ participates in fatty acid oxidation, mainly in skeletal and cardiac muscles, and regulates blood glucose and cholesterol levels. PPARs can also form heterodimers with retinoid X receptor (RXR) modulating the expression of genes involved in lipid metabolism, adipogenesis, maintenance of metabolic homeostasis, and inflammation. Activated cytoplasmic PPARs can translocate into the nucleus, where they bind DNA responsive elements, either as a homodimer or heterodimer complexed with retinoid acid receptor (RXR), and each transcriptional complex needs coactivators [50,51]. Moreover, the PPAR transcriptional activity can be modulated through a nongenomic cross talk with phosphatases and kinases, including ERK1/2, p38-MAPK, PKA, PKC, AMPK, and GSK3 [48]. Moreover, the members of the PPAR family also modulate basic processes, such as proliferation, differentiation, and postnatal development [52].
Activation of PPARγ by thiazolidinediones can reduce insulin resistance and hyperglycemia in type 2 diabetes, but these drugs can also cause weight gain. Apparently, a moderate reduction of PPARγ activity, observed in heterozygous PPAR γ-deficient mice or in the Pro12Ala polymorphism in human PPARγ protein, has been shown to prevent insulin resistance and obesity induced by a high-fat (HF) diet. Furthermore, it has been observed that a moderate reduction of PPARγ with an RXR antagonist or a PPARγ antagonist decreases triglyceride (TG) content in white adipose tissue, skeletal muscle and liver. However, severe reduction of PPARγ by treatment of heterozygous PPARγ-deficient mice with a RXR antagonist or a PPAR antagonist depletes white adipose tissue and markedly decreases leptin and adiponectin levels and energy dissipation, which increases TG content in skeletal muscle and liver, thereby leading to the re-emergence of insulin resistance [53].
PPARγ is considered the master activator of adipogenesis, and its inhibition is a preferred strategy to screen anti-obesity agents. PPARγ inhibitors were shown to be useful in treating obesity, through the inhibition of expression of the adipose tissue genes, but the drugs can have undesirable effects in other tissues. PPARγ activators are used as insulin sensitizers in order to improve insulin resistance in diabetic patients. PPARγ comprises seven gene isoforms, among them PPARγ1 and PPARγ2, which are prevalently expressed in adipocytes where they are involved in lipid metabolism and cell differentiation, and in macrophages where they trigger the initial inflammatory response. PPARγ2, which is highly expressed in adipocytes, is the key fat-selective PPAR subtype, when it is phosphorylated at Ser273 promotes the lipogenesis; thus, it is a good target of the anti-obesity agents. Many studies showed that both isoforms, γ1 and γ2, are increased in obese people, whereas other studies have stated that only the γ2 isoform is increased. These inconsistent results could depend on the different gene expression regulation in different tissues and on post-translational modification of PPARγ isoforms. Ligands blocking the Ser273 phosphorylation in γ2 improve insulin resistance, whereas they induce weight gain; thus, they have been thoroughly studied [54]. Moreover, the block of Ser273 phosphorylation positively correlates with increased expression of the growth differentiation factor-3 (GDF-3), which is pro-inflammatory and promotes fat accumulation [55,56]. Several herbs have been described to act on PPAR pathway, among them the Spermacoce hispida, the seeds of which contain deacetylasperulosidic acid, an iridoid glycoside, acting on the PPARα and exhibiting an antihyperlipidemic activity [57]. The seeds of S. hispida significantly reduce the proliferation of mature adipocytes and decrease fat accumulation. A similar effect was shown by Rosa rugosa extract, rich in flavonoids, which reduces hypertriglyceridemia by acting as PPARα agonist [58,59]. The polymethoxyflavones (Sinensetin, nobiletin, 3,5,6,7,8,3′,4′-Heptamethoxyflavone, and Tangerine) from Citrus reticulata, ‘Chachi’ peels, exhibit biological effects similar to those observed for S. hispida and R. Rugosa; however, their mechanism of action is still to be elucidated [60,61]. Apparently, the Nigella sativa oil, containing a Thymoquinone, a PPARγ agonist, decreases the expression of TNF-α and adipokines in obese and overweight people [62,63]. Astragali membranaceus var. mongholicus increase thermogenesis via PPARγ activation [64,65]. Moreover, the tissue-specific expression of PPAR subunits account for healthy effects on short-time and failure on long-time and chronic use (Table 3).
Some nutraceuticals have been shown to affect the PPAR signaling via different patterns; some herbal extracts modulate the CCAAT-enhancer-binding (C/EBP) alpha and beta subunits [66]. Ziziphus jujuba extract, containing apigenin, betulinic acid, and maslinic acid, was linked with a decrease of protein levels of PPARγ and C/EBPα. Ziziphus jujuba fructus has been shown to stimulate adipocyte browning with the effect of stimulating thermogenesis [67].
The theobromine from Theobroma cacao beans reduces the expression of C/EBPα and in turn PPARγ, and the total effect is to stimulate thermogenesis via activating the β3-Adenergic receptor [68,69]. The isoimperatorin from Angelica dahuricae significantly increased mRNA expression, and protein production, of the C/EBPα and PPARγ [70,71]. A fraction of Bidens pilosa extract containing cytopiloyne has been found to reduce adipogenesis by inhibiting expression of PPARγ and C/EBP [72]. An extract, rich in alkaloids from Coptis chinensis, showed an anti-adipogenic activity linked to its effect to downregulate C/EBP-α and PPAR-γ factors [73]. An extract, rich in terpenoids from the Isodon adenantha, has been shown to inhibit adipogenesis in 3T3-L1 and mouse embryonic fibroblast models. Adenanthin, an ent-Kaurane diterpenoid, decreases inflammation and ROS by inhibiting the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signalling [74]. NF-κB can interact with the PPARγ subunit, promoting cell inflammation [75] (Table 4).
Other herbal extracts indirectly act on the PPAR pathway through very different biological targets. An extract from Barringtonia acutangula inhibits the 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1); however, this enzyme has been shown to decrease the expression of PPARγ and increase that of PPARα [76].
The leaf extract from Melissa officinalis reduces the mRNA levels of genes involved in lipogenesis, such as the fatty acid synthase (FAS), stearoyl-CoA desaturase 1 (SCD1), and sterol regulatory element-binding protein 1c (SREBP-1c) [77]. The extract of M. officinalis acts via the C/EBPα and the PPAR pathway [78]. The extract ALS-L1023 confirmed that the effects of nutraceuticals present in this herb reduce weight gain. This extract, which increases the level of AMPKα2, alleviates abdominal obesity and insulin resistance in C57BL/6J mice by increasing the mRNA levels of carnitine palmitoyltransferase 1 (CPT-1), medium-chain acyl-coenzyme A dehydrogenase (MCAD) [79]. Thus, the effects of the herbs depend on the different nutraceuticals obtained according to solvents used to prepare the extracts.
An extract from Momordica charantia seed exhibits lipid-lowering activity by reducing the insulin-stimulated IRS-1 tyrosine phosphorylation; however, IRS-1 is linked to PPARγ subunit [80]. In particular the IRS-1 variant (C189T > G) was associated with post-weaning body weight and body weight gains [81] (Table 5).
Overall, these results confirm that many mechanisms regulate, directly or indirectly, the cellular fat mass. Moreover, these mechanisms interfere each other, confirming the difficulties in treating obesity over a long term due to a complex pattern of inter and intra-cellular signals (Figure 2).

2.3. Reducing Inflammation

Chronic inflammation impacts the fat storage in adipose tissue, resulting in free fatty acid and triglyceride excesses in bloodstream and induction of insulin resistance in muscle and liver. Adipocytes crosstalk with macrophages, which are able to infiltrate fat masses, leading to obesity, inducing ectopic fat deposition in these tissues. [82]. Enlarged adipocytes, together with the infiltrated macrophages, act in a synergistic manner to cause aberrant production of pro-inflammatory molecules including inducible nitric oxide, cytokines such as TNF-α, interleukine-6 (IL-6) and the chemokine monocyte chemoattractant protein-1 (MCP-1). Both TNF-α and IL-6 can lead to insulin resistance by triggering different key steps in the insulin signalling pathway. However, several different factors can induce inflammation, especially chronic low-grade inflammation, and cause obesity. Proinflammatory pathways, free radical increase, and epigenetic modulation of some genes, such as methylation of the IGF-1 encoding gene, can affect the growth of fat masses. These pathways involve different protein complexes and metabolites, for example by activation of inflammasome, kinases, and related coactivators.

2.3.1. Activation of Inflammosome

The inflammasome complex is a multimer consisting of pattern-recognition receptors (PRR); each one is a monomer sensor that responds to inflammatory stimuli; after stimulation, they oligomerize and form a pro-caspase-1 activation platform. Several members of PRRs have been confirmed to form inflammasomes; among these are the NLRP3, a member of the leucine-rich repeat (LRR)-containing proteins (NLRP) [83]. The NLRP3 inflammasome is activated by diverse stimuli and multiple molecular and cellular events, including ionic flux, mitochondrial dysfunction, such as the production of reactive oxygen species (ROS), and lysosomal damage. In obese individuals, stressed adipocyte and macrophage cells respond by activating the NLRP3 inflammasome, which modulates the MAPK signalling or decreases the expression of proinflammatory cytokines such as TNF-α and IL-6, and could improve inflammation-related diseases. However, aberrant activation of NLRP3 inflammasome has been related to obesity. An extract from Coptidis rhizoma has been shown to have successful effects in obese rats affected by glomerulopathy [84]. Subsequent studies on Coptidis rhizome, used in oriental medicine, showed that its anti-inflammatory activity is linked to berberine derivatives [85]. The analyses of its biological effects revealed that it inhibits dysregulated NLRP3 inflammasome complex. Morus alba is traditionally used as an antioxidant and anti-inflammatory agent, and it shows an anti-obesity effect [86,87]. Some research describes the effects of these herbs on TNF-α and IL-6. Recently, administration to HFD-induced obese C57BL/6 mice of an extract of leaves from M. alba, fermented with fungus Cordyceps militaris, has been shown to prevent fat accumulation through the inhibition of lipogenesis and stimulation of lipolysis [88]. However, the fermented powder can contain by-products from fungal fermentation, involved in the mechanism of action, whose secondary effects are still unknown (Table 6).

2.3.2. TNF-α Pathway

The activation of immune cells, such as macrophages, is stimulated by secretion of TNF-α which, in paracrine and autocrine manner, regulates a number of critical cell functions including cell proliferation, survival, differentiation, and apoptosis. Macrophages are the major producers of TNF-α and interestingly are also highly responsive to TNF-α itself. Aberrant TNF-α production and TNF receptor signaling have been associated with the pathogenesis of several diseases, including rheumatoid arthritis, Crohn’s disease, atherosclerosis, psoriasis, sepsis, diabetes, and obesity.
Curcuma longa rhizome contains the curcuminoids, which reduce inflammation and improve obesity. Curcuminoids have also been proposed as browning promoting agents, leading to weight loss by suppressing chronic inflammation in white adipocytes through the modulation of TNF-α [89]. Unfortunately, curcuminoids are effective at high dosages which induce undesirable effects, and therefore some Food Safety Agencies have decreased the amounts allowed in the formulation of food supplements.
Nelumbo nucifera contains quercetin-3-O-ß-glucuronide (Q3GA) and quercetin; experiments conducted in vitro confirmed that quercetin and Q3GA affect lipid metabolism by promoting triglyceride degradation through inhibition of the cAMP pathway which in turn blocks the TNF-α pathway [90].
Garcinia mangostana contains xanthones, which act on inflammatory and anti-inflammatory pathways [91].
The total fraction of soluble compounds present in the aqueous extract of the Cichorium intybus was added to the diet of obese diabetic mice, reducing obesity [92] (Table 7).

2.3.3. MAPK Signalling

MAPK pathways are signaling modules that transduce extracellular and intracellular signals to regulatory networks within the cell via the phosphorylation of key protein targets. Each cascade is activated by extracellular signals which lead to the activation of the MAPK, which in turn become substrates of a second specific kinase (MAPKKK). A subsequent third kinase (MAPKK) completes the signal transduction. However, three different families of kinases, ERKs, JNKs, and p38/SAPKs, respond to different extracellular signals of stress [93]. Although they show some differences in the modulation of different genes, all these pathways can induce obesity. We report that some herbal extracts, having the MAPK pathways as target, are able to reduce obesity.
A Cordyceps militaris extract, containing cordycepin, has been shown to prevent overweight, fat accumulation, liver hypertrophy, and lowered triglyceride levels by modulating gene expression. The targeted genes were related to the insulin signalling pathway, insulin resistance, the MARK signalling pathway and the PI3K–Akt signalling pathway [94].
Sorghum bicolor has been found to contain a fraction extract rich in 3-Deoxyanthocyanines; the extract reduces inflammation and the ROS cascade and promotes the gut Bacteroidetes which are highly present in lean individuals [95]. However, S. bicolor has been shown to activate the MAPK cascade, suggesting an intracellular mechanism to reduce lipid accumulation [96] (Table 8).

2.3.4. Production Control and Scavenging of Free Radicals

High free radical levels arise after eating and they increase the sense of appetite, so that antioxidants could be useful to reduce obesity. There is evidence that excessive ROS contribute to develop metabolic disorders leading to inflammation and obesity [97]. Antioxidant natural extracts could ameliorate inflammation, especially low-chronic grade one, and reduce appetite by controlling the level of ROS and their activity [98]. However, in spite of a large number of natural antioxidant extracts, only few of them seem to be effective to treat obesity. A natural ent-Kaurane diterpenoid, Eriocalyxin B, extracted from Isodon eriocalyx, showing anti-inflammatory activity, was found inhibits adipogenesis in 3T3-L1 adipocytes [99]. Moreover, the role played by nitric oxide (NO) reactive species in obesity, received similar attention. A raw non-polar extract from the leaves of Angelica keiskei improves obesity by reducing the amount of NO [100,101]. NO has proposed as gaseous signalling molecule linked to onset of obesity by inducing low-chronic grade inflammation [102,103]. However, an extract rich in extract chalcones also decreases the TNF-α levels and in turn reduces insulin resistance [104,105] (Table 9).

2.4. Regulation of Lipase Activity

Fatty acids are hydrolysed at gastrointestinal level and transported to liver where they are re-esterified into triglycerides and transported to other tissue by lipoproteins. Pancreatic lipase and Lipoprotein lipase are responsible for the conversion of fats into monoglyceride and free fatty acids, which can across the enterocytes. The fat can reach the adipocytes, where it is accumulated causing the enlargement of these cells. Thus, the inhibition of lipases and related enzymes is another strategy to reduce adipose tissue hyperplasia [106]. Delaying fat adsorption or inhibiting fat digestion, by suppressing lipase activity, decrease obesity as shown by the Orlistat, but unfortunately this medicine has secondary undesired effects [106]. The research of lipase inhibitors has been investigated in 76 plant species resulting able to inhibit lipases. Among them we report Hieracium and Pilosella, which are two strictly related species diffused as popular remedies of obesity [107].
Taraxacum officinale, traditionally known as Dandelion, contains several active compounds such as taraxasterol, chlorogenic acid, α-amyrin, which exhibit anti-inflammatory effects, inhibiting NO synthase and COX-2 protein expression. Often, some nutraceuticals depending on extract fraction, in a dose dependent manner, inhibit pancreatic lipase and in turn improve fat deposition [108].
Recently, an extract from Ginkgo biloba leaf was described to contain a novel pancreatic lipase inhibitor, but this is the only report describing its anti-lipolytic activity [109].
Moreover, ginkgolides are considered the most interesting compounds improving insulin resistance via Toll-like receptors signalling cascades [110].
Prunus armeniaca leaves contain phenolic compounds that show several activities, all of them have positive effect on reducing obesity, in particular inhibiting the pancreatic lipase [111].
Rhus verniciflua extracts reduce appetite. An extract from this plant was found to act on dopaminergic cells, to inhibit the activity of glycolytic enzymes, such as alpha-glucosidase, and consequently to suppress obesity in an animal model [112]. A leaf extract from Rhus verniciflua, rich in quercetin derivatives, was found lowering SREBP-1 and triglyceride levels. It has been observed that PPARs and SREBP-1 interaction reduces lipid deposition [113]. The extract suppresses obesity in high fat diet-induced obese mice [114]. Rhus verniciflua ethanol extract revealed a strong alpha-glucosidase inhibitory activity, which was able to reduce weight gain and improve insulin resistance [115]. Furthermore, a R. verniciflua Stockes extract, used as traditional medicine in Korea, exhibited lipid-lowering effects by lowering SREBP-1 and triglyceride levels, and promoting the activation of PPARs and AMPK in an in vitro model of non-alcoholic fatty liver disease [116].
An extract from Morus nigra acts on hormone-sensitive lipase showing anti-obesity effects [87,117] (Table 10).

2.5. Effectors on Neuromodulators

Adipose tissue is also an active endocrine organ, diffused through body tissues, that regulate systemic metabolism via crosstalk with multiple peripheral tissues and the central nervous system [118]. The adipokines are the hormones produced by adipocytes, and their interactions with neuromodulators is one of the main targets of anti-obesity treatments. Dysregulation of peripheral and central hormones leads to an imbalance of energy expenditure. Oxidative stress in hypothalamus is one of the causes of an unnatural request for food. The increased level of ROS and NO in the first-order neurons into arcuate nucleus, and the aberrant functioning of orexigenic Agouti-related protein (AgRP)/Neuropeptide Y (NPY), anorexigenic pro-opiomelanocortin (POMC)/cocaine- and amphetamine-regulated transcript (CART) can lead to obesity. The neurosignals regulate the demand for food intake and energy expenditure [119]. Among successful species, Panax ginseng is traditionally used for its ability to induce the body to adapt to different stresses, and its neuromodulatory activity is considered useful in treatment of obesity. The assumption of campesterol, β-elemene, ginsenoside Rb1, contained in P. ginseng have been related to modulation of neuropeptide genes that regulate energy balance and food intake. The analysis of data suggests that P.gineng can regulate neuropeptides associated with appetite [120,121].
Another study on Paullinia cupana showed its ability to suppresse appetite by stimulating the central nervous system through the action of methylxanthine [122]. Xanthines stimulate lipolysis and inhibit adipogenesis and, more generally, as those present in high amounts in teas containing cathechin and caffeine, have been reported to support body weight control [123]. The xanthines can function by two different but convergent mechanisms, by increasing the ghrelin or decreasing the TNF-α levels, respectively [124] (Table 11).

3. Conclusions

The accumulation of fat mass is caused by multiple genetic, epigenetic and lifestyle factors. Obesity correlates with hyperplasia and hypertrophy of white adipose tissue, which can be linked to hyperlipidemia, increased lipogenesis, chronic inflammation, lack of exercise, and a high-fat or simple carbohydrate-rich diet. The regulation of each of these conditions occurs both at the intracellular and intercellular level. Several intracellular pathways are involved in the activation of adipogenesis and lipolysis, such as those of AMPK and PPARs. Other pathways, such as those of MAPKs and PI3K/AKT, are indirectly associated with obesity by activating specific genes that regulate cell differentiation or the inflammatory response.
Moreover, the intercellular regulation of the adipocyte metabolism acts through endocrine adipokines and neurohormones, regulating cell crosstalk and affecting eating behaviours. The search for key pathways and useful substances able to control all these mechanisms that could be called the obesosome is challenging. It has been seen that the activation of AMPKα is useful to fight obesity; however, at the same time, AMPKα inhibition protects against arterial thrombosis. On the other hand, the activation of PPARα reduces weight gain, whereas the inhibition of PPARγ decreases lipogenesis; unfortunately, current anti-obesity agents are not selective effectors for each subunit. Furthermore, this non-specific inhibition of PPARs can induce inflammation, causing weight gain and obesity. Nutraceuticals blocking inflammatory pathways have been shown to increase insulin resistance and activate the polarization of macrophages, which infiltrate adipose tissue and induce an increase of fat mass. This scenario suggests that there is a need for multiple targeted anti-obesity agents. It is a hard challenge to find a single drug having all functional requirements. A solution to act on obesosome could come from nutraceutical compositions. Certainly, to find a mixture of herbal nutraceuticals, with synergistic and selective activity, will require a new technological approach to the problem.

Author Contributions

Writing—original draft preparation S.A.; writing—review and editing S.A. and A.S.d. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Khalil, S.F.; Mohktar, M.S.; Ibrahim, F. The Theory and Fundamentals of Bioimpedance Analysis in Clinical Status Monitoring and Diagnosis of Diseases. Sensors 2014, 14, 10895–10928. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Schutz, Y.; Kyle, U.U.; Pichard, C. Fat-free mass index and fat mass index percentiles in Caucasians aged 18–98 y. Int. J. Obes. 2002, 26, 953–960. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Sekar, M.; Thirumurugan, K. Autophagy: A molecular switch to regulate adipogenesis and lipolysis. Mol. Cell. Biochem. 2022, 477, 727–742. [Google Scholar] [CrossRef] [PubMed]
  4. Machado, S.A.; Pasquarelli-do-Nascimento, G.; da Silva, D.S.; Farias, G.R.; de Oliveira Santos, I.; Baptista, L.B.; Magalhães, K.G. Browning of the white adipose tissue regulation: New insights into nutritional and metabolic relevance in health and diseases. Nutr. Metab. 2022, 19, 61. [Google Scholar] [CrossRef]
  5. Spencer, M.; Unal, R.; Zhu, B.; Rasouli, N.; McGehee, R.E., Jr.; Peterson, C.A.; Kern, P.A. Adipose tissue extracellular matrix and vascular abnormalities in obesity and insulin resistance. J. Clin. Endocrinol. Metab. 2011, 96, E1990–E1998. [Google Scholar] [CrossRef] [Green Version]
  6. Lee, B.C.; Kim, M.S.; Pae, M.; Yamamoto, Y.; Eberlé, D.; Shimada, T.; Kamei, N.; Park, H.S.; Sasorith, S.; Woo, J.R.; et al. Adipose Natural Killer Cells Regulate Adipose Tissue Macrophages to Promote Insulin Resistance in Obesity. Cell Metab. 2016, 23, 685–698. [Google Scholar] [CrossRef] [Green Version]
  7. Czech, M. Macrophages dispose of catecholamines in adipose tissue. Nat. Med. 2017, 23, 1255–1257. [Google Scholar] [CrossRef]
  8. Gomes, A.; Leite, F.; Ribeiro, L. Adipocytes and macrophages secretomes coregulate catecholamine-synthesizing enzymes. Int. J. Med. Sci. 2021, 18, 582–592. [Google Scholar] [CrossRef]
  9. Sorokina, M.; Steinbeck, C. Review on natural products databases: Where to find data in 2020. J. Cheminform. 2020, 12, 20. [Google Scholar] [CrossRef] [Green Version]
  10. Mahmoud, A.M. An Overview of Epigenetics in Obesity: The Role of Lifestyle and Therapeutic Interventions. Int. J. Mol. Sci. 2022, 23, 1341. [Google Scholar] [CrossRef]
  11. Cerdó, T.; García-Santos, J.A.; Bermúdez, G.M.; Campoy, C. The Role of Probiotics and Prebiotics in the Prevention and Treatment of Obesity. Nutrients 2019, 11, 635. [Google Scholar] [CrossRef] [Green Version]
  12. Ràfols, M.E. Adipose tissue: Cell heterogeneity and functional diversity. Endocrinol. Nutr. 2014, 61, 100–112. [Google Scholar] [CrossRef]
  13. Yucel, N.; Arany, Z. Fat, Obesity, and the Endothelium. Curr. Opin. Physiol. 2019, 12, 44–50. [Google Scholar] [CrossRef] [PubMed]
  14. Chylikova, J.; Dvorackova, J.; Tauber, Z.; Kamarad, V. M1/M2 macrophage polarization in human obese adipose tissue. Biomed. Pap. Med. Fac. Univ. Palacky Olomouc Czechoslov. 2018, 162, 79–82. [Google Scholar] [CrossRef] [Green Version]
  15. Mihaylova, M.M.; Shaw, R.J. The AMPK signalling pathway coordinates cell growth, autophagy and metabolism. Nat. Cell Biol. 2011, 13, 1016–1023. [Google Scholar] [CrossRef]
  16. Wang, Q.; Sun, J.; Liu, M.; Zhou, Y.; Zhang, L.; Li, Y. The New Role of AMP-Activated Protein Kinase in Regulating Fat Metabolism and Energy Expenditure in Adipose Tissue. Biomolecules 2021, 11, 1757. [Google Scholar] [CrossRef] [PubMed]
  17. Wu, L.; Zhang, L.; Li, B.; Jiang, H.; Duan, Y.; Xie, Z.; Shuai, L.; Li, J.; Li, J. AMP-Activated Protein Kinase (AMPK) Regulates Energy Metabolism through Modulating Thermogenesis in Adipose Tissue. Front. Physiol. 2018, 9, 122. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Lima, N.D.S.; Teixeira, L.; Gambero, A.; Ribeiro, M.L. Guarana (Paullinia cupana) stimulates mitochondrial biogenesis in mice fed high-fat diet. Nutrients 2018, 10, 165. [Google Scholar] [CrossRef] [Green Version]
  19. Yavari, A.; Stocker, C.J.; Ghaffari, S.; Wargent, E.T.; Steeples, V.; Czibik, G.; Pinter, K.; Bellahcene, M.; Woods, A.; Martínez de Morentin, P.B.; et al. Chronic Activation of γ2 AMPK Induces Obesity and Reduces β Cell Function. Cell Metab. 2016, 23, 821–836. [Google Scholar] [CrossRef] [Green Version]
  20. Kim, C.O.; Kim, Y.N.; Lee, D.C. Effects of Gelidium elegans on Weight and Fat Mass Reduction and Obesity Biomarkers in Overweight or Obese Adults: A Randomized Double-Blinded Study. Nutrients 2019, 11, 1513. [Google Scholar] [CrossRef]
  21. Choi, J.; Kim, K.J.; Koh, E.J.; Lee, B.Y. Gelidium elegans regulates the AMPK-PRDM16-UCP-1 pathway and has a synergistic effect with orlistat on obesity-associated features in mice fed a high-fat diet. Nutrients 2017, 9, 342. [Google Scholar] [CrossRef] [Green Version]
  22. Marques, L.L.M.; Ferreira, E.D.F.; de Paula, M.N.; Klein, T.; de Mello, J.C.P. Paullinia cupana: A multipurpose plant—A review. Rev. Bras. Farmacogn. 2019, 29, 77–110. [Google Scholar] [CrossRef]
  23. Wang, J.; Zhang, L.; Dong, L.; Hu, X.; Feng, F.; Chen, F. 6-Gingerol, a Functional Polyphenol of Ginger, Promotes Browning through an AMPK-Dependent Pathway in 3T3-L1 Adipocytes. J. Agric. Food Chem. 2019, 67, 14056–14065. [Google Scholar] [CrossRef]
  24. Lee, G.-H.; Peng, C.; Jeong, S.-Y.; Park, S.-A.; Lee, H.-Y.; Hoang, T.-H.; Kim, J.; Chae, H.-J. Ginger extract controls mTOR-SREBP1-ER stress-mitochondria dysfunction through AMPK activation in obesity model. J. Funct. Food 2021, 87, 104628. [Google Scholar] [CrossRef]
  25. Aminifard, T.; Razavi, B.M.; Hosseinzadeh, H. The effects of ginseng on the metabolic syndrome: An updated review. Food Sci. Nutr. 2021, 9, 5293–5311. [Google Scholar] [CrossRef]
  26. Lee, K.; Seo, Y.J.; Song, J.H.; Chei, S.; Lee, B.Y. Ginsenoside Rg1 promotes browning by inducing UCP1 expression and mitochondrial activity in 3T3-L1 and subcutaneous white adipocytes. J. Ginseng Res. 2019, 43, 589–599. [Google Scholar] [CrossRef] [PubMed]
  27. Arhire, L.I.; Mihalache, L.; Covasa, M. Irisin: A Hope in Understanding and Managing Obesity and Metabolic Syndrome. Front. Endocrinol. 2019, 10, 524. [Google Scholar] [CrossRef] [Green Version]
  28. Rodriguez Lanzi, C.; Perdicaro, D.J.; Gambarte Tudela, J.; Muscia, V.; Fontana, A.R.; Oteiza, P.I.; Vazquez Prieto, M.A. Grape pomace extract supplementation activates FNDC5/irisin in muscle and promotes white adipose browning in rats fed a high-fat diet. Food Funct. 2020, 11, 1537–1546. [Google Scholar] [CrossRef] [PubMed]
  29. Buhlmann, E.; Horváth, C.; Houriet, J.; Kiehlmann, E.; Radtke, J.; Marcourt, L.; Wolfender, J.-L.; Wolfrum, C.; Schröder, S. Puerariae lobatae root extracts and the regulation of brown fat activity. Phytomedicine 2019, 64, 153075. [Google Scholar] [CrossRef]
  30. Jung, H.W.; Kang, A.N.; Kang, S.Y.; Park, Y.K.; Song, M.Y. The Root Extract of Pueraria lobata and Its Main Compound, Puerarin, Prevent Obesity by Increasing the Energy Metabolism in Skeletal Muscle. Nutrients 2017, 9, 33. [Google Scholar] [CrossRef] [PubMed]
  31. Kaisanlahti, A.; Glumoff, T. Browning of white fat: Agents and implications for beige adipose tissue to type 2 diabetes. J. Physiol. Biochem. 2019, 75, 1–10. [Google Scholar] [CrossRef] [Green Version]
  32. Gong, G.; Han, G.; He, H.; Dong, T.T.X.; Tsim, K.W.K.; Zheng, Y. An Ancient Chinese Herbal Decoction Containing Angelicae sinensis Radix, Astragali Radix, Jujuba Fructus, and Zingiberis Rhizoma Recens Stimulates the Browning Conversion of White Adipocyte in Cultured 3T3-L1 Cells. Evid. -Based Complementary Altern. Med. 2019, 1, 1–10. [Google Scholar] [CrossRef] [Green Version]
  33. Kim, S.; Lee, M.S.; Jung, S.; Son, H.Y.; Park, S.; Kang, B.; Kim, S.Y.; Kim, I.H.; Kim, C.T.; Kim, Y. Ginger Extract Ameliorates Obesity and Inflammation via Regulating MicroRNA-21/132 Expression and AMPK Activation in White Adipose Tissue. Nutrients 2018, 10, 1567. [Google Scholar] [CrossRef] [Green Version]
  34. Chen, Q.; Liu, M.; Yu, H.; Li, J.; Wang, S.; Zhang, Y.; Qiu, F.; Wang, T. Scutellaria baicalensis regulates FFA metabolism to ameliorate NAFLD through the AMPK-mediated SREBP signaling pathway. J. Nat. Med. 2018, 72, 655–666. [Google Scholar] [CrossRef]
  35. Yang, L.L.; Xiao, N.; Liu, J.; Liu, K.; Liu, B.; Li, P.; Qi, L.W. Differential regulation of baicalin and scutellarin on AMPK and Akt in promoting adipose cell glucose disposal. Biochim. Biophys. Acta (BBA) -Mol. Basis Dis. 2017, 1863, 598–606. [Google Scholar] [CrossRef]
  36. Jang, J.H.; Lee, K.H.; Jung, H.K.; Sim, M.O.; Kim, T.M.; Woo, K.W.; An, B.K.; Cho, J.H.; Cho, H.W. Anti-inflammatory effects of 6′-O-acetyl mangiferin from Iris rossii Baker via NF-κb signal blocking in lipopolysaccharide-stimulated RAW 264.7 cells. Chemico-Biol. Interact. 2016, 257, 54–60. [Google Scholar] [CrossRef]
  37. Sim, M.O.; Lee, H.J.; Jeong, D.E.; Jang, J.H.; Jung, H.K.; Cho, H.W. 6′-O-acetyl mangiferin from Iris rossii Baker inhibits lipid accumulation partly via AMPK activation in adipogenesis. Chem. Biol. Interact. 2019, 311, 108755. [Google Scholar] [CrossRef]
  38. Enes, B.N.; de Paula, L.; Moreira, D.; Lopes Toledo, R.C.; Aguiar Moraes, E.; de Castro Moreira, M.E.; Miranda, H.H.; Noratto, H.G.; Mertens-Talcott, S.U.; Talcott, S.; et al. Effect of different fractions of chia (Salvia hispanica L.) on glucose metabolism, in vivo and in vitro. J. Funct. Foods 2020, 71, 104026. [Google Scholar] [CrossRef]
  39. Pandurangan, S.B.; Al-Maiman, S.A.; Al-Harbi, L.N.; Alshatwi, A.A. Beneficial Fatty Acid Ratio of Salvia hispanica L. (Chia Seed) Potentially Inhibits Adipocyte Hypertrophy, and Decreases Adipokines Expression and Inflammation in Macrophage. Foods 2020, 9, 368. [Google Scholar] [CrossRef] [Green Version]
  40. Willows, R.; Navaratnam, N.; Lima, A.; Read, J.; Carling, D. Effect of different γ-subunit isoforms on the regulation of AMPK. Biochem. J. 2017, 474, 1741–1754. [Google Scholar] [CrossRef]
  41. Wu, W.; Feng, J.; Jiang, D.; Zhou, X.; Jiang, Q.; Cai, M.; Wang, X.; Shan, T.; Wang, Y. AMPK regulates lipid accumulation in skeletal muscle cells through FTO-dependent demethylation of N6-methyladenosine. Sci. Rep. 2017, 7, 41606. [Google Scholar] [CrossRef] [Green Version]
  42. Yao, B.; Christian, K.M.; He, C.; Jin, P.; Ming, G.L.; Song, H. Epigenetic mechanisms in neurogenesis. Nat. Rev. Neurosci. 2016, 17, 537–549. [Google Scholar] [CrossRef] [Green Version]
  43. Antonio, J.; Knafo, S.; Kapoor, R.; Tartar, J.L. A fat mass and obesity-associated gene polymorphism influences fat mass in exercise-trained individuals. J. Int. Soc. Sports Nutr. 2018, 15, 40. [Google Scholar] [CrossRef] [Green Version]
  44. Zhong, T.; Duan, X.Y.; Zhang, H.; Li, L.; Zhang, H.P.; Niu, L. Angelica sinensis Suppresses Body Weight Gain and Alters Expression of the FTO Gene in High-Fat-Diet Induced Obese Mice. BioMed Res. Int. 2017, 2017, 6280972. [Google Scholar] [CrossRef] [Green Version]
  45. Ma, P.; Sun, C.; Li, W.; Deng, W.; Adu-Frimpong, M.; Yu, J.; Xu, X. Extraction and structural analysis of Angelica sinensis polysaccharide with low molecular weight and its lipid-lowering effect on nonalcoholic fatty liver disease. Food Sci. Nutr. 2020, 8, 3212–3224. [Google Scholar] [CrossRef]
  46. Asuquo, E.A.; Nwodo, O.F.C.; Assumpta, A.C.; Orizu, U.N.; Oziamara, O.N.; Solomon, O.A. FTO gene expression in diet-induced obesity is downregulated by Solanum fruit supplementation. Open Life Sci. 2022, 17, 641–658. [Google Scholar] [CrossRef]
  47. Yarmohammadi, F.; Ghasemzadeh Rahbardar, M.; Hosseinzadeh, H. Effect of eggplant (Solanum melongena) on the metabolic syndrome: A review. Iran. J. Basic Med. Sci. 2021, 24, 420–427. [Google Scholar]
  48. Fanale, D.; Amodeo, V.; Caruso, S. The Interplay between Metabolism, PPAR Signaling Pathway, and Cancer. PPAR Res. 2017, 2017, 1830626. [Google Scholar] [CrossRef] [Green Version]
  49. Wafer, R.; Tandon, P.; Minchin, J.E.N. The Role of Peroxisome Proliferator-Activated Receptor Gamma (PPARG) in Adipogenesis: Applying Knowledge from the Fish Aquaculture Industry to Biomedical Research. Front. Endocrinol. 2017, 8, 102. [Google Scholar] [CrossRef] [Green Version]
  50. Berger, J.; Moller, D.E. The mechanisms of action of PPARs. Annu. Rev. Med. 2002, 53, 409–435. [Google Scholar] [CrossRef] [Green Version]
  51. Grygiel-Górniak, B. Peroxisome proliferator-activated receptors and their ligands: Nutritional and clinical implications—A review. Nutr. J. 2014, 13, 17. [Google Scholar] [CrossRef]
  52. Phua, W.W.T.; Wong, M.X.Y.; Liao, Z.; Tan, N.S. An aPPARent Functional Consequence in Skeletal Muscle Physiology via Peroxisome Proliferator-Activated Receptors. Int. J. Mol. Sci. 2018, 19, 1425. [Google Scholar] [CrossRef] [Green Version]
  53. Takada, I.; Makishima, M. Peroxisome proliferator-activated receptor agonists and antagonists: A patent review (2014-present). Expert Opin. Ther. Pat. 2020, 30, 1–13. [Google Scholar] [CrossRef]
  54. Dias, M.M.G.; Batista, F.A.H.; Tittanegro, T.H.; de Oliveira, A.G.; Le Maire, A.; Torres, F.R.; Filho, H.V.R.; Silveira, L.R.; Figueira, A.C.M. PPARγ S273 Phosphorylation Modifies the Dynamics of Coregulator Proteins Recruitment. Front. Endocrinol. 2020, 11, 561256. [Google Scholar] [CrossRef]
  55. Kumar, S.; Sinha, K.; Sharma, R.; Purohit, R.; Padwad, Y. Phloretin and phloridzin improve insulin sensitivity and enhance glucose uptake by subverting PPARγ/Cdk5 interaction in differentiated adipocytes. Exp. Cell Res. 2019, 383, 111480. [Google Scholar] [CrossRef]
  56. Bu, Y.; Okunishi, K.; Yogosawa, S.; Mizuno, K.; Irudayam, M.J.; Brown, C.W.; Izumi, T. Insulin Regulates Lipolysis and Fat Mass by Upregulating Growth/Differentiation Factor 3 in Adipose Tissue Macrophages. Diabetes 2018, 67, 1761–1772. [Google Scholar] [CrossRef] [Green Version]
  57. Esakkimuthu, S.; Nagulkumar, S.; Darvin, S.S.; Buvanesvaragurunathan, K.; Sathya, T.N.; Navaneethakrishnan, K.R.; Kumaravel, T.S.; Murugan, S.S.; Shirota, O.; Balakrishna, K.; et al. Antihyperlipidemic effect of iridoid glycoside deacetylasperulosidic acid isolated from the seeds of Spermacoce hispida L. -A traditional antiobesity herb. J. Ethnopharmacol. 2019, 245, 112–170. [Google Scholar] [CrossRef]
  58. Baiyisaiti, A.; Wang, Y.; Zhang, X.; Chen, W.; Qi, R. Rosa rugosa flavonoids exhibited PPARα agonist-like effects on genetic severe hypertriglyceridemia of mice. J. Ethnopharmacol. 2019, 240, 111952. [Google Scholar] [CrossRef]
  59. Choi, D.H.; Han, J.H.; Hong, M.; Lee, S.Y.; Lee, S.U.; Kwon, T.H. Antioxidant and lipid-reducing effects of Rosa rugosa root extract in 3T3-L1 cell. Food Sci. Biotechnol. 2021, 31, 121–129. [Google Scholar] [CrossRef]
  60. Gao, Z.; Wang, Z.Y.; Guo, Y.; Chu, C.; Zheng, G.D.; Liu, E.H.; Li, F. Enrichment of polymethoxyflavones from Citrus reticulata ‘Chachi’ peels and their hypolipidemic effect. J. Chromatogr. B 2019, 1124, 226–232. [Google Scholar] [CrossRef]
  61. Chou, Y.C.; Ho, C.T.; Pan, M.H. Immature Citrus reticulata Extract Promotes Browning of Beige Adipocytes in High-Fat Diet-Induced C57BL/6 Mice. J. Agric. Food Chem. 2018, 66, 9697–9703. [Google Scholar] [CrossRef] [PubMed]
  62. Razmpoosh, E.; Safi, S.; Mazaheri, M.; Salehi-Abargouei, A.; Abdollahi, N.; Nazari, M.; Fallahzadeh, H.; Nadjarzadeh, A. Effects of oral Nigella sativa oil on the expression levels and serum concentrations of adiponectin, PPAR-γ, and TNF-α in overweight and obese women: A study protocol for a crossover-designed, double-blind, placebo-controlled randomized clinical trial. Trials 2019, 20, 512. [Google Scholar] [CrossRef] [PubMed]
  63. Mahdavi, R.; Namazi, N.; Alizadeh, M.; Farajnia, S. Nigella sativa oil with a calorie-restricted diet can improve biomarkers of systemic inflammation in obese women: A randomized double-blind, placebo-controlled clinical trial. J. Clin. Lipidol. 2016, 10, 1203–1211. [Google Scholar] [CrossRef] [PubMed]
  64. Hoo, R.L.; Wong, J.Y.; Qiao, C.; Xu, A.; Xu, H.; Lam, K.S. The effective fraction isolated from Radix Astragali alleviates glucose intolerance, insulin resistance and hypertriglyceridemia in db/db diabetic mice through its anti-inflammatory activity. Nutr. Metab. 2010, 7, 67. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Nie, T.; Zhao, S.; Mao, L.; Yang, Y.; Sun, W.; Lin, X.; Liu, S.; Li, K.; Sun, Y.; Li, P.; et al. The natural compound, formononetin, extracted from Astragalus membranaceus increases adipocyte thermogenesis by modulating PPARγ activity. Br. J. Pharmacol. 2018, 175, 1439–1450. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Lefterova, M.I.; Zhang, Y.; Steger, D.J.; Schupp, M.; Schug, J.; Cristancho, A.; Feng, D.; Zhuo, D.; Stoeckert, C.J., Jr.; Liu, X.S.; et al. PPARgamma and C/EBP factors orchestrate adipocyte biology via adjacent binding on a genome-wide scale. Genes Dev. 2008, 22, 2941–2952. [Google Scholar] [CrossRef] [Green Version]
  67. Savova, M.S.; Vasileva, L.V.; Mladenova, S.G.; Amirova, K.M.; Ferrante, C.; Orlando, G.; Wabitsch, M.; Georgiev, M.I. Ziziphus jujuba Mill. leaf extract restrains adipogenesis by targeting PI3K/AKT signaling pathway. Biomed. Pharmacother. 2021, 141, 111934. [Google Scholar] [CrossRef]
  68. Halib, H.; Ismail, A.; Mohd Yusof, B.N.; Osakabe, N.; Mat Daud, Z.A. Effects of Cocoa Polyphenols and Dark Chocolate on Obese Adults: A Scoping Review. Nutrients 2020, 12, 3695. [Google Scholar] [CrossRef]
  69. Cero, C.; Lea, H.J.; Zhu, K.Y.; Shamsi, F.; Tseng, Y.H.; Cypess, A.M. β3-Adrenergic receptors regulate human brown/beige adipocyte lipolysis and thermogenesis. JCI Insight 2021, 6, e139160. [Google Scholar] [CrossRef]
  70. Jiang, T.; Shi, X.; Yan, Z.; Wang, X.; Gun, S. Isoimperatorin enhances 3T3-L1 preadipocyte differentiation by regulating PPARγ and C/EBPα through the Akt signaling pathway. Exp. Ther. Med. 2019, 18, 2160–2166. [Google Scholar] [CrossRef] [Green Version]
  71. Han, H.S.; Jeon, H.; Kang, S.C. Phellopterin isolated from Angelica dahurica reduces blood glucose level in diabetic mice. Heliyon 2018, 4, e00577. [Google Scholar] [CrossRef]
  72. Liang, Y.C.; Yang, M.T.; Lin, C.J.; Chang, C.L.; Yang, W.C. Bidens pilosa and its active compound inhibit adipogenesis and lipid accumulation via down-modulation of the C/EBP and PPARγ pathways. Sci. Rep. 2016, 6, 24285. [Google Scholar] [CrossRef] [Green Version]
  73. Choi, J.S.; Kim, J.H.; Ali, M.Y.; Min, B.S.; Kim, G.D.; Jung, H.A. Coptis chinensis alkaloids exert anti-adipogenic activity on 3T3-L1 adipocytes by downregulating C/EBP-α and PPAR-γ. Fitoterapia 2014, 98, 199–208. [Google Scholar] [CrossRef]
  74. Hu, J.; Li, X.; Tian, W.; Lu, Y.; Xu, Y.; Wang, F.; Qin, W.; Ma, X.; Puno, P.T.; Xiong, W. Adenanthin, a Natural ent-Kaurane Diterpenoid Isolated from the Herb Isodon adenantha Inhibits Adipogenesis and the Development of Obesity by Regulation of ROS. Molecules 2019, 24, 158. [Google Scholar] [CrossRef] [Green Version]
  75. Zhang, Y.; Huang, X.; Zhou, J.; Yin, Y.; Zhang, T.; Chen, D. PPARγ provides anti-inflammatory and protective effects in intrahepatic cholestasis of pregnancy through NF-κB pathway. Biochem. Biophys. Res. Commun. 2018, 504, 834–842. [Google Scholar] [CrossRef]
  76. Patil, V.S.; Khatib, N.A. Triterpene saponins from Barringtonia acutangula (L.) Gaertn as a potent inhibitor of 11β-HSD1 for type 2 diabetes mellitus, obesity, and metabolic syndrome. Clin. Phytosci. 2020, 6, 61. [Google Scholar] [CrossRef]
  77. Lee, D.; Shin, Y.; Jang, J.; Park, Y.; Ahn, J.; Jeong, S.; Shin, S.S.; Yoon, M. The herbal extract ALS-L1023 from Melissa officinalis alleviates visceral obesity and insulin resistance in obese female C57BL/6J mice. J. Ethnopharmacol. 2020, 253, 112646. [Google Scholar] [CrossRef]
  78. Lee, H.J.; Lim, J.; Peak, J.; Ki, M.; Lee, S.; Choe, G.; Jung, J.; Jung, H.; Jeon, S.; Park, T.-S.; et al. Effect of Melissa officinalis L. leaf extract on lipid accumulation by modulating specific adipogenic gene transcription factors in 3T3-L1 adipocytes. J. App. Biol. Chem. 2020, 63, 169–174. [Google Scholar] [CrossRef]
  79. Shin, Y.; Lee, D.; Ahn, J.; Lee, M.; Shin, S.S.; Yoon, M. The herbal extract ALS-L1023 from Melissa officinalis reduces weight gain, elevated glucose levels and β-cell loss in Otsuka Long-Evans Tokushima fatty rats. J. Ethnopharmacol. 2021, 264, 113360. [Google Scholar] [CrossRef]
  80. Hussain, F.; Hafeez, J.; Khalifa, A.S.; Naeem, M.; Ali, T.; Eed, E.M. In vitro and in vivo study of inhibitory potentials of α-glucosidase and acetylcholinesterase and biochemical profiling of M. charantia in alloxan-induced diabetic rat models. Am. J. Transl. Res. 2022, 14, 3824–3839. [Google Scholar]
  81. Helal, M.; Ali, M.A.; Nadrin, A.H.; Awad, Y.I.; Younis, N.K.; Alasyed, B.M.; Jamal, M.; Eid, D.H.; Soliman, H.A.; Eissa, S.A.; et al. Association between IRS-1, PPAR-γ and LEP genes polymorphisms and growth traits in rabbits. Anim. Biotechnol. 2022, 29, 1–9. [Google Scholar] [CrossRef]
  82. Russo, L.; Lumeng, C.N. Properties and functions of adipose tissue macrophages in obesity. Immunology 2008, 155, 407–417. [Google Scholar] [CrossRef] [PubMed]
  83. Kelley, N.; Jeltema, D.; Duan, Y.; He, Y. The NLRP3 Inflammasome: An Overview of Mechanisms of Activation and Regulation. Int. J. Mol. Sci. 2019, 20, 3328. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Kwon, O.J.; Noh, J.W.; Lee, B.C. Mechanisms and Effect of Coptidis rhizoma on Obesity-Induced Inflammation: In Silico and In Vivo Approaches. Int. J. Mol. Sci. 2021, 22, 8075. [Google Scholar] [CrossRef]
  85. Wang, Y.; Gong, W.; Lv, S.; Qu, H.; He, Y. Berberine improves insulin resistance in adipocyte models by regulating the methylation of hypoxia-inducible factor-3a. Biosci. Rep. 2019, 39, bsr20192059. [Google Scholar] [CrossRef]
  86. Mahboubi, M. Morus alba (mulberry), a natural potent compound in management of obesity. Pharmacol. Res. 2019, 146, 104341. [Google Scholar] [CrossRef]
  87. Lim, S.H.; Choi, C.I. Pharmacological properties of Morus nigra L. (Black Mulberry) as a promising nutraceutical resource. Nutrients 2019, 11, 437. [Google Scholar] [CrossRef] [Green Version]
  88. Lee, M.R.; Kim, J.E.; Choi, J.Y.; Park, J.J.; Kim, H.R.; Song, B.R.; Choi, Y.W.; Kim, K.M.; Song, H.; Hwang, D.Y. Anti-obesity effect in high-fat-diet-induced obese C57BL/6 mice: Study of a novel extract from mulberry (Morus alba) leaves fermented with Cordyceps militaris. Exp. Ther. Med. 2019, 17, 2185–2193. [Google Scholar] [CrossRef] [Green Version]
  89. Vafaeipour, Z.; Razavi, B.M.; Hosseinzadeh, H. Effects of turmeric (Curcuma longa) and its constituent (curcumin) on the metabolic syndrome: An updated review. J. Integr. Med. 2022, 20, 193–203. [Google Scholar] [CrossRef]
  90. Liu, E.; Tsuboi, H.; Ikegami, S.; Kamiyama, T.; Asami, Y.; Ye, L.; Oda, M.; Ji, Z.S. Effects of Nelumbo nucifera Leaf Extract on Obesity. Plant Foods Hum. Nutr. 2021, 76, 377–384. [Google Scholar] [CrossRef]
  91. Shandiz, H.T.; Razavi, B.M.; Hosseinzadeh, H. Review of Garcinia mangostana and its Xanthones in Metabolic Syndrome and Related Complications. Phytother. Res. 2017, 8, 1173–1182. [Google Scholar] [CrossRef] [PubMed]
  92. Eltokhy, A.K.; Khattab, H.A.; Rabah, H.M. The impact of cichorium intybus L. On GDF-15 level in obese diabetic albino mice as compared with metformin effect. J. Diabetes Metab. Disord. 2021, 20, 1119–1128. [Google Scholar] [CrossRef] [PubMed]
  93. Donohoe, F.; Wilkinson, M.; Baxter, E.; Brennan, D.J. Mitogen-Activated Protein Kinase (MAPK) and Obesity-Related Cancer. Int. J. Mol. Sci. 2020, 21, 1241. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Jang, D.; Lee, E.; Lee, S.; Kwon, Y.; Kang, K.S.; Kim, C.E.; Kim, D. System-level investigation of anti-obesity effects and the potential pathways of Cordyceps militaris in ovariectomized rats. BMC Complement. Med. Ther. 2022, 22, 132. [Google Scholar] [CrossRef]
  95. de Sousa, A.R.; Castro Moreira, M.E.; Grancieri, M.; Lopes Toledo, R.C.; de Oliveira Araújo, F.; Cuquetto Mantovani, H.; Vieira Queiroz, V.A.; Duarte Martino, H.S. Extruded sorghum (Sorghum bicolor L.) improves gut microbiota, reduces inflammation, and oxidative stress in obese rats fed a high-fat diet. J. Funct. Foods 2019, 58, 282–291. [Google Scholar] [CrossRef]
  96. Zhou, M.; Zhao, B.; Li, H.; Ren, W.; Zhang, Q.; Liu, Y.; Zhao, J. Comprehensive analysis of MAPK cascade genes in sorghum (Sorghum bicolor L.) reveals SbMPK14 as a potential target for drought sensitivity regulation. Genomics 2022, 114, 110311. [Google Scholar] [CrossRef]
  97. Masschelin, P.M.; Cox, A.R.; Chernis, N.; Hartig, S.M. The Impact of Oxidative Stress on Adipose Tissue Energy Balance. Front. Physiol. 2020, 10, 1638. [Google Scholar] [CrossRef]
  98. Shapira, N. The metabolic concept of meal sequence vs. Satiety: Glycemic and oxidative responses with reference to inflammation risk, protective principles and mediterranean diet. Nutrients 2019, 11, 2373. [Google Scholar] [CrossRef] [Green Version]
  99. Mu, R.F.; Niu, Y.F.; Wang, Q.; Zhou, H.M.; Hu, J.; Qin, W.Y.; Xiong, W.Y. Eriocalyxin B Inhibits Adipogenesis in 3T3-L1 Adipocytes by Cell Cycle Arrest. Nat. Prod. Bioprospect. 2020, 10, 131–140. [Google Scholar] [CrossRef] [Green Version]
  100. Kil, Y.S.; Pham, S.T.; Seo, E.K.; Jafari, M. Angelica keiskei, an emerging medicinal herb with various bioactive constituents and biological activities. Arch. Pharm. Res. 2017, 40, 655–675. [Google Scholar] [CrossRef]
  101. Ohta, M.; Fujinami, A.; Oishi, K.; Kobayashi, N.; Ohnishi, K.; Ohkura, N. Ashitaba (Angelica keiskei) Exudate Prevents Increases in Plasminogen Activator Inhibitor-1 Induced by Obesity in Tsumura Suzuki Obese Diabetic Mice. J. Diet Suppl. 2019, 16, 331–344. [Google Scholar] [CrossRef]
  102. Kwaifa, I.K.; Bahari, H.; Yong, Y.K.; Md Noor, S. Endothelial dysfunction in obesity-induced inflammation: Molecular mechanisms and clinical implications. Biomolecules 2020, 10, 291. [Google Scholar] [CrossRef]
  103. Becerril, S.; Rodríguez, A.; Catalán, V.; Méndez-Giménez, L.; Ramírez, B.; Sáinz, N.; Llorente, M.; Unamuno, X.; Gómez-Ambrosi, J.; Frühbeck, G. Targeted disruption of the iNOS gene improves adipose tissue inflammation and fibrosis in leptin-deficient ob/ob mice: Role of tenascin C. Int. J. Obes. 2018, 42, 1458–1470. [Google Scholar] [CrossRef] [Green Version]
  104. Ohnogi, H.; Hayami, S.; Kudo, Y.; Deguchi, S.; Mizutani, S.; Enoki, T.; Tanimura, Y.; Aoi, W.; Naito, Y.; Kato, I.; et al. Angelica keiskei extract improves insulin resistance and hypertriglyceridemia in rats fed a high-fructose drink. Biosci. Biotechnol. Biochem. 2012, 76, 928–932. [Google Scholar] [CrossRef]
  105. Sansbury, B.E.; Hill, B.G. Regulation of obesity and insulin resistance by nitric oxide. Free Rad. Biol. Med. 2014, 73, 383–399. [Google Scholar] [CrossRef] [Green Version]
  106. Liu, T.T.; Liu, X.T.; Chen, Q.X.; Shi, Y. Lipase Inhibitors for Obesity: A Review. Biomed. Pharmacother. 2020, 118, 2216–2223. [Google Scholar] [CrossRef]
  107. Willer, J.; Zidorn, C.; Juan-Vicedo, J. Ethnopharmacology, phytochemistry, and bioactivities of Hieracium L. and Pilosella Hill (Cichorieae, Asteraceae) species. J. Ethnopharmacol. 2021, 281, 114465. [Google Scholar] [CrossRef]
  108. Kania-Dobrowolska, M.; Baraniak, J. Dandelion (Taraxacum officinale L.) as a Source of Biologically Active Compounds Supporting the Therapy of Co-Existing Diseases in Metabolic Syndrome. Foods 2022, 11, 2858. [Google Scholar] [CrossRef]
  109. Liu, P.K.; Weng, Z.M.; Ge, G.B.; Li, H.L.; Ding, L.L.; Dai, Z.R.; Hou, X.D.; Leng, Y.H.; Yu, Y.; Hou, J. Biflavones from Ginkgo biloba as novel pancreatic lipase inhibitors: Inhibition potentials and mechanism. Int. J. Biol. Macromol. 2018, 118 Pt B, 2216–2223. [Google Scholar] [CrossRef]
  110. Hirata, B.K.; Banin, R.M.; Dornellas, A.P.; de Andrade, I.S.; Zemdegs, J.C.; Caperuto, L.C.; Oyama, L.M.; Ribeiro, E.B.; Telles, M.M. Ginkgo biloba extract improves insulin signaling and attenuates inflammation in retroperitoneal adipose tissue depot of obese rats. Mediat. Inflamm. 2015, 2015, 419106. [Google Scholar] [CrossRef] [Green Version]
  111. Wojdyło, A.; Nowicka, P. Profile of Phenolic Compounds of Prunus armeniaca L. Leaf Extract Determined by LC-ESI-QTOF-MS/MS and Their Antioxidant, Anti-Diabetic, Anti-Cholinesterase, and Anti-Inflammatory Potency. Antioxidants 2021, 10, 1869. [Google Scholar] [CrossRef]
  112. Suruga, K.; Tomita, T.; Kadokura, K.; Arai, T. Rhus verniciflua leaf extract suppresses obesity in high-fat diet-induced obese mice. Food Nutr. Res. 2019, 63, 3601. [Google Scholar] [CrossRef]
  113. Hoang, T.H.; Yoon, Y.; Park, S.A.; Lee, H.Y.; Peng, C.; Kim, J.H.; Lee, G.H.; Chae, H.J. IBF-R, a botanical extract of Rhus verniciflua controls obesity in which AMPK-SIRT1 axis and ROS regulatory mechanism are involved in mice. J. Funct. Foods 2021, 87, 104804. [Google Scholar] [CrossRef]
  114. Cheong, S.A.; Kim, R.; Park, Y.K.; Baek, S.Y.; Yeo, S.-H.; Lee, C.H. Anti-Obesity Effect of Fermented Detoxified Rhus verniciflua Vinegar Supplementation in Diet-Induced Obese Rats. J. Korean Soc. Food Sci. Nutr. 2015, 44, 1771–1778. [Google Scholar] [CrossRef]
  115. Kim, J.S.; Yang, J.; Kim, M.-J. Alpha glucosidase inhibitory effect, anti-microbial activity and UPLC analysis of Rhus verniciflua under various extract conditions. J. Med. Plants Res. 2011, 5, 778–783. [Google Scholar]
  116. Lee, S.O.; Kim, S.J.; Kim, J.S.; Ji, H.; Lee, E.O.; Lee, H.J. Comparison of the main components and bioactivity of Rhus verniciflua Stokes extracts by different detoxification processing methods. BMC Complement. Altern. Med. 2018, 18, 242. [Google Scholar] [CrossRef] [Green Version]
  117. Caron, A.; Richard, D. Neuronal systems and circuits involved in the control of food intake and adaptive thermogenesis. Ann. N. Y. Acad. Sci. 2017, 1391, 35–53. [Google Scholar] [CrossRef]
  118. Fan, L.; Peng, Y.; Wu, D.; Hu, J.; Shi, X.; Yang, G.; Li, X. Dietary supplementation of Morus nigra L. leaves decrease fat mass partially through elevating leptin-stimulated lipolysis in pig model. J. Ethnopharmacol. 2020, 249, 112416. [Google Scholar] [CrossRef]
  119. Gyengesi, E.; Paxinos, G.B.; Andrews, Z. Oxidative Stress in the Hypothalamus: The Importance of Calcium Signaling and Mitochondrial ROS in Body Weight Regulation. Curr. Neuropharmacol. 2015, 10, 344–353. [Google Scholar] [CrossRef]
  120. Phung, H.M.; Jang, D.; Trinh, T.A.; Lee, D.; Nguyen, Q.N.; Kim, C.-E.; Kang, K.S. Regulation of appetite-related neuropeptides by Panax ginseng: A novel approach for obesity treatment. J. Ginseng Res. 2022, 46, 609–619. [Google Scholar] [CrossRef]
  121. Wang, J.; Li, Y.; Luo, P.; Chen, Y.; Xi, Q.; Wu, H.; Zhao, W.; Shu, G.; Wang, S.; Gao, P.; et al. Oral supplementation with ginseng polysaccharide promotes food intake in mice. Brain Behav. 2019, 9, e01340. [Google Scholar] [CrossRef] [Green Version]
  122. Hamerski, L.; Somner, G.V.; Tamaio, N. Paullinia cupana Kunth (Sapindaceae): A review of its ethnopharmacology, phytochemistry and pharmacology. J. Med. Plants Res. 2013, 7, 2221–2229. [Google Scholar] [CrossRef]
  123. Carrageta, D.F.; Dias, T.R.; Alves, M.G.; Oliveira, P.F.; Monteiro, M.P.; Silva, B.M. Anti-obesity potential of natural methylxanthines. J. Funct. Foods 2018, 43, 84–94. [Google Scholar] [CrossRef]
  124. Li, Y.; Rahman, S.U.; Huang, Y.; Zhang, Y.; Ming, P.; Zhu, L.; Chu, X.; Li, J.; Feng, S.; Wang, X.; et al. Green tea polyphenols decrease weight gain, ameliorate alteration of gut microbiota, and mitigate intestinal inflammation in canines with high-fat-diet-induced obesity. J. Nutr. Biochem. 2020, 78, 108324. [Google Scholar] [CrossRef]
Figure 1. Schematic representation of the fat mass expansion and related diseases secondary to obesity. Adipocyte crosstalk macrophage (1) which in turn stimulate adipocyte inflammation (2) and expansion (3); inflamed hypertrophic adipocytes promote the accumulation of M1 polarized macrophages in adipose tissue (4).
Figure 1. Schematic representation of the fat mass expansion and related diseases secondary to obesity. Adipocyte crosstalk macrophage (1) which in turn stimulate adipocyte inflammation (2) and expansion (3); inflamed hypertrophic adipocytes promote the accumulation of M1 polarized macrophages in adipose tissue (4).
Nutrients 14 05099 g001
Figure 2. Effects of nutrition on AMPK and PPARs pathways.
Figure 2. Effects of nutrition on AMPK and PPARs pathways.
Nutrients 14 05099 g002
Table 1. Herbs containing nutraceuticals acting as AMPK effectors.
Table 1. Herbs containing nutraceuticals acting as AMPK effectors.
SourceProposed MechanismTargetEffects
Gelidium elegans [20,21]UnknownAMPK-PRDM16Anti-obesity
Iris rossii Baker [36,37]Inhibits pre-adipocytes differentiationAMPKDecreases lipid accumulation
Panax ginseng [25,26]Increases AMPK phosphorylationAMPK
PRDM16
PGC1α
Improves insulin sensitivity and glucose metabolism
Paullinia cupana [22,18]Stimulates thermogenesisAMPK
PPARγ coactivator 1-alpha (PGC1-α)
UCP-1
Anti-hyperlipidemic
Pueraria montana var lobata [29,30]Regulation of brown fat activityPPAR pathway
UCP1
Stimulates thermogenesis
Salvia hispanica L. [38,39]Increases protein kinase B 1 (AKT1)[pS473]AMPK mRNA
HSP,
PGC-1α
Forkhead box protein 1 (FOXO1)
Improves glucose and insulin tolerance
Scutellaria baicalensis [34,35]Hemostasis of glucose and lipid metabolisms(WNT)/β-catenin pathway
AMPK
PPARγ
Anti-hyperlipidemic
Zingiber officinalis [32,33]Upregulating β-oxidationAMPKControls fat accumulation
Table 2. Herbs containing nutraceuticals which indirectly activate AMPK.
Table 2. Herbs containing nutraceuticals which indirectly activate AMPK.
SourceProposed MechanismTargetEffects
Angelicae sinensis [44,45]Controls adipocytes expansionFTO gene
AMPK
Suppresses body weight gain
Solanum melongena or aethiopicum [46,47]Controls the adipocytes in hypothalamusFTO gene
AMPK
Decreases feed consumption
Table 3. Herbs containing nutraceuticals acting on PPAR pathway.
Table 3. Herbs containing nutraceuticals acting on PPAR pathway.
SourceProposed MechanismTargetEffects
Astragali membranaceus var. mongholicus [64,65]Increases thermogenesisPPARγAntidiabetic/anti-inflammatory
Citrus reticulata [60,61]Increases hepatic fatty acid oxidationPPARαAnti-hyperlipidemic activity
Nigella sativa [62,63]Reduces adipogenesisPPARγ
TNF-α
Adipokines
Decreases appetite
Reduces body weight
Rosa rugosa [58,59]AMPK pathway
activation
PPARα agonistControl of dyslipidemia
Spermacoce hispida [57]Decreases lipid accumulationPPARαAnti-hyperlipidemic activity
Table 4. Herbs containing nutraceuticals acting on C/EBP pathway.
Table 4. Herbs containing nutraceuticals acting on C/EBP pathway.
SourceProposed MechanismTargetEffects
Angelica dahuricae [70,71]Inhibits adipogenesisC/EBPβ signalingControls adipose tissue
Bidens pilosa [72]Decreases the adipogenesis and lipid accumulationC/EBPs
PPARγ
Egr2
Decreases fat content
Theobroma cacao [68,69]Stimulates thermogenesisC/EBPαControls body weight
Coptis chinensis [73]Inhibits adipocyte differentiationC/EBPα
PPARγ
Reduces obesity
Isodon adenantha [74]Inhibits adipogenesis decreasing the ROS amountC/EBPβ signalingControls adipose tissue
Ziziphus jujuba [67]Affects adipogenic differentiationC/EBP
PPARγ
PI3K/AKT
Anti-adipogenic
Table 5. Herbs containing nutraceuticals indirectly acting on PPAR pathway.
Table 5. Herbs containing nutraceuticals indirectly acting on PPAR pathway.
SourceProposed MechanismTargetEffects
Barringtonia acutangular [76]Controls metabolism of lipids11β-HSD1Reduces hyperlipidemia
Melissa officinalis [77,78]Increases fatty acid β-oxidation and decreases lipogenesisFAS
SREBP-1
CPT-1
Reduces visceral adiposity
Momordica charantia [81]Insulin signallingIRS-1Reduces weight gain
Table 6. Herbal extracts active on NLRP3 inflammasome.
Table 6. Herbal extracts active on NLRP3 inflammasome.
SourceProposed MechanismTargetEffects
Coptidis rhizoma [84,85]Decreases adipose tissue macrophagesNLRP3Reduces obesity
Morus alba [86,87]Adipocyte differentiationNLRP3
PPARγ and C/EBPα
Reduces dyslipidemia
Table 7. Herbal extracts acting on TNF-α pathway.
Table 7. Herbal extracts acting on TNF-α pathway.
SourceProposed MechanismTargetEffects
Curcuma longa [89]Anti-inflammatoryTNF-αReduces obesity
Garcinia mangostana [91]Anti-inflammatoryTNF-α
IL-6
Reduces body weight
Nelumbo nucifera [90]Inhibition of cAMP pathwayTNF-α,
leptin,
insulin
Prevents triglyceride accumulation and promote lipolysis
Cichorium intybus [92]GDF-15 signalling pathwaysPI3K/AKTWeight reduction
Table 8. Herbal extracts acting on MAPK signaling.
Table 8. Herbal extracts acting on MAPK signaling.
SourceProposed MechanismTargetEffect
Cordyceps militaris [94]Decreases population of negativebacillusMAPK signaling pathway;
PI3K–Akt signaling pathway
Reduce body weight, fat accumulation. Stimulate lipolysis
Sorghum bicolor [95,96]Inhibits preadipocyte differentiationMAPK signaling
production of ROS
Reduce intracellular lipid accumulation
Table 9. Herbal extracts reducing oxidative stress.
Table 9. Herbal extracts reducing oxidative stress.
SourceProposed MechanismTargetEffect
Angelica keiskei [100,101]Anti-inflammatoryTNF-αReduce gains in body weight
Isodon eriocalyx [99]Anti-inflammatoryNF-κBInhibit adipogenesis
Table 10. Herbal extracts inhibiting lipase activity.
Table 10. Herbal extracts inhibiting lipase activity.
SourceProposed MechanismTargetEffects
Ginkgo biloba [109,110]Adipocyte hypertrophyFAS
Perilipin 1
Reduce the adipocyte volume
Hieracium sp. [107]Decrease lypolysisPancreatic lipaseDecrease fat accumulation
Morus nigra [87,117]Leptin-stimulated lipolysisHormone-sensitive lipase
FAS
Decrease fat mass
Prunus armeniaca [111]Inhibit adipogenesispancreatic lipasePrevention of obesity
Rhus verniciflua [112,113,114,115,116]Inhibit nonesterified fatty acid and glycerol absorptionSREBP1
alpha-glucosidase
Reduce body weight gain
Taraxacum officinale [108]Increase plasma superoxide radical scavengingAlkaline phosphataseDecrease in lipid peroxidation
Table 11. Herbal extracts with neuroactivity.
Table 11. Herbal extracts with neuroactivity.
SourceProposed MechanismTargetEffects
Panax ginseng [120,121]Regulates appetite-related neuropeptidesPro-opiomelanocortin, cholecystokinin, and cocaine- and agouti-related protein, neuropeptide YDecreases adipogenesis
Paullinia cupana [122]Inhibits adipogenesisGhrelinDecreases fat mass
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Ammendola, S.; Scotto d’Abusco, A. Nutraceuticals and the Network of Obesity Modulators. Nutrients 2022, 14, 5099. https://doi.org/10.3390/nu14235099

AMA Style

Ammendola S, Scotto d’Abusco A. Nutraceuticals and the Network of Obesity Modulators. Nutrients. 2022; 14(23):5099. https://doi.org/10.3390/nu14235099

Chicago/Turabian Style

Ammendola, Sergio, and Anna Scotto d’Abusco. 2022. "Nutraceuticals and the Network of Obesity Modulators" Nutrients 14, no. 23: 5099. https://doi.org/10.3390/nu14235099

APA Style

Ammendola, S., & Scotto d’Abusco, A. (2022). Nutraceuticals and the Network of Obesity Modulators. Nutrients, 14(23), 5099. https://doi.org/10.3390/nu14235099

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop