Abstract
In glucose-deprived conditions, ketone bodies are produced by the liver mitochondria, through the catabolism of fatty acids, and are used peripherally, as an alternative energy source. Ketones are produced in the body under normal conditions, including during pregnancy and the neonatal period, when following a ketogenic diet (KD), fasting, or exercising. Additionally, ketone synthesis is also augmented under pathological conditions, including cases of diabetic ketoacidosis (DKA), alcoholism, and several metabolic disorders. Nonetheless, diet is the main regulator of total body ketone concentrations. The KDs are mimicking the fasting state, altering the default metabolism towards the use of ketones as the primary fuel source. Recently, KD has gained recognition as a medical nutrition therapy for a plethora of metabolic conditions, including obesity and diabetes mellitus (DM). The present review aims to discuss the role of ketones, KDs, ketonemia, and ketonuria in DM, presenting all the available new evidence in a comprehensive manner.
1. Introduction
Diabetes mellitus (DM) is a leading cause of morbidity, disability, and premature mortality globally, multiplying the risk of developing cardiovascular disease (CVD) by 2 to 4 times [1,2,3]. The American Diabetes Association (ADA) classifies DM into four generic types [4]. Type 1 DM (T1DM) is characterized by the destruction of the pancreatic β-cells by an unknown autoimmune mechanism, usually resulting in absolute insulin deficiency [5], and it also includes the latent autoimmune diabetes of adults (LADA). Type 2 DM (T2DM) is hallmarked by a progressive loss of adequate insulin secretion from the β-cells as the result of insulin resistance (IR) [6]. Special types of DM include those with monogenic causes [neonatal diabetes and MODY (mature-onset diabetes of the young)], diseases of the exocrine part of the pancreas (including cystic fibrosis, pancreatitis, etc.), drug- or chemical-induced DM (e.g., use of glucocorticoids), as well as DM induced after surgical operations (organ transplantation) [4]. Gestational DM (GDM) is the type diagnosed during the second or third trimester of pregnancy, averting post-gestation [4,7,8]. It is the most common complication of pregnancy and is associated with perinatal complications [8].
During the past decades, the global prevalence of T2DM and GDM has been increasing [9], as a result of environmental and lifestyle changes [10]. The most common complications in DM include diabetic ketoacidosis (DKA) and microvascular and macrovascular complications.
2. Ketones
In glucose-deprived conditions, ketone bodies are produced by the liver mitochondria through the catabolism of fatty acids [11] (Figure 1). Ketones are energy-rich metabolites and consist of acetone, 3-β-hydroxybutyrate (3BHB), and acetoacetate (AcAc) [12]. Fatty acids are used by the body as an alternative energy source and are oxidized to ketone bodies under insufficient glucose availability or starvation conditions [13]. The liver is the main organ producing ketone bodies, with fatty acids entering the mitochondria via carnitine palmitoyltransferase (CPT-1) and participating in β-oxidation for the production of acetyl-coenzyme A (acetyl-CoA) [14,15,16]. The produced ketone bodies are then transported extrahepatically for further oxidation [13] and used peripherally as an alternative energy source [11].
Figure 1.
Ketogenesis (created with BioRender.com [17]).
The reference range of total ketone body concentrations in healthy adults has a circadian rhythm and is approximately 100–250 µM [18]. However, in prolonged fasting and other conditions, the concentration of ketone bodies can rise to ~1 mM or even 20 mM [18]. Ketones are produced in the body under normal conditions, including during pregnancy and the neonatal period, when following a ketogenic diet (KD), fasting, or exercising [19]. Additionally, ketone synthesis is also augmented under pathological conditions, including cases of hyperemesis gravidarum, DKA, alcoholism, and a variety of metabolic disorders. Nonetheless, diet is the main regulator of total body ketone concentrations [12].
2.1. DKA-Induced Effects
It is widely known that DKA can cascade several adverse events and multiply the risk of developing diabetic complications [20]. In elevated concentrations, ketones lead to increased oxidative stress and inflammation and, through this mechanism, exert their harmful effects throughout the body. Cardiomyocytes, erythrocytes, and endothelial cells are the main cell types affected by oxidative stress [21]. Ketosis-induced oxidative stress is mediated by upregulation of nicotinamide adenine dinucleotide phosphate (NADPH) oxidases, activation of the mitogen-activated protein kinase (MAPK) pathway, and the nuclear factor kappa-light-chain enhancer of activated B cells (NF-κB). Vascular disease, atherosclerosis, and liver damage are direct consequences of this condition [21]. Additionally, elevated plasma ketone concentrations appear to be involved in reducing cell surface insulin receptors, leading to increased IR [20].
2.2. Elevated Ketone Concentrations during Pregnancy
Animal studies suggest that during pregnancy, increased ketone concentrations may induce harmful effects in the fetus and mother (Table 1) [22,23,24,25,26,27,28,29]. However, the exact pathophysiological mechanism behind these actions has not been fully elucidated [19]. Animal research has revealed alterations in embryonic organ growth following a maternal KD, associated with organ dysfunction in postnatal life [22]. Even a 24 h exposure to elevated ketone concentrations was shown to induce growth reduction and inhibition/delay of neural tube closure, depending on the embryo’s age and the ketone concentrations [23,28,29]. Interestingly, embryos also show a high adaptation capacity, with the ability to recover morphologically from the gross anatomical disturbance when elevated ketone concentrations are corrected and the recovery period is of sufficient duration [24,25,26]. Nonetheless, several histological alterations appear to remain in the affected tissues, without any adaptations being apparent [25].
Table 1.
In vitro and in vivo animal studies assessing possible effects of elevated ketone levels in pregnant women.
2.3. Mild Ketonemia
On the other hand, in mild ketonemia, when ketone concentrations do not exceed a critical level, they seem to exert beneficial effects. Mild ketonemia is usually achieved after fasting or when following a KD. At low concentrations, ketone bodies act as signaling molecules and are involved in the post-translational modification of proteins. They regulate oxidative stress and inflammation and, through this mechanism, improve metabolic profiles and may extend a healthy lifespan. Due to these beneficial effects, they have become the target of research for their possible involvement in the treatment of various disorders, such as metabolic disorders, neurological and CVD disorders, and cancer [30].
3. Ketogenic Diets (KDs)
Since the time of Hippocrates, fasting has been traditionally used as a treatment for a variety of conditions [31]. As a therapeutic regime, fasting is the ancestor of today’s KD [31], with the latter mimicking the fasting state while altering the default metabolism towards the use of fats as the primary fuel source, produced through the catabolism of FFAs [32]. The first study of the use of fasting as a treatment was for epilepsy in 1911 by two French physicians, Guelpa and Marie [33]. In more detail, the effect of starvation was studied in 20 subjects (children and adults) suffering from epilepsy, and it was observed that the seizures were less severe during the diet period [33]. In the year 1921, the first observation was reported [34] that fasting is followed by the production of acetone and beta-hydroxybutyric acid in healthy individuals. The same result was observed after following a low-carbohydrate (CHO) diet (LCD), which was concomitantly high in fat content, known as the KD [35]. Therefore, the replacement of fasting with the KD was suggested, as they appeared to be equally effective, with the KD also having the ability to be applied for longer periods of time compared to fasting [33], with the latter often resulting in emaciation of the patients. Today, the KD is considered an effective therapeutic regime for drug-resistant epilepsy, as recommended by the Cochrane Collaboration and the National Institute of Healthcare and Excellence (NICE) [36,37]. In parallel, it has also shown possible benefits in a variety of neurological conditions, including mild cognitive impairment, cyclin-dependent kinase-like 5 (CDKL5) deficiency, pyruvate dehydrogenase complex deficiency, Alzheimer’s and Parkinson’s disease [38,39,40,41,42], and many more, gaining immense popularity.
3.1. Types of KDs
There is not one horizontal KD for all, but rather, various types of KDs exist based on the macronutrient contribution to the total energy intake (TEI), with some being “stricter” than the rest (Table 2). Overall, the KD reverses the typical dietary pyramid use of macronutrients, promoting a restrained CHO intake and a more liberal consumption of proteins and fats.
Table 2.
Distinct KD patterns.
The classic KD is a strict diet, mathematically calculated for each person, and closely monitored [43]. It is high in lipids (90% of the TEI), but low in CHO and proteins. The medium-chain triglycerides (MCT) pattern is based on the fact that MCTs produce more ketones/g compared to long-chain triglycerides (LCT), allowing for more generous intakes of protein and CHO in the daily diet [44]. The MCT pattern was developed by Huttenlocher and associates [44]. The modified Atkins diet is more freestyle, allowing for a free intake of fat, protein, energy, and fluids, while limiting CHO intake. Finally, the low glycemic index (GI) [45] pattern was first suggested by Pfeifer and Thiele [46] following observations that adhering to the classic KD induced stability in the blood glucose levels, which was related to the mechanistic effects of the diet. It allows for some (10% of the TEI) CHO content based on low-GI [45] choices.
3.2. Advantages of the KD
The KD has recently emerged as an effective medical nutrition therapy (MNT) for overweight and obesity [47,48,49]. According to an umbrella systematic review [48], high-quality evidence supports the reduction in triglyceride concentrations, and moderate-quality evidence vouches for reductions in body weight, respiratory exchange ratio (RER), glycosylated hemoglobin (HbA1c), and increased total cholesterol levels. Furthermore, N-of-1 studies suggest that patients with overweight and obesity show preference for the KD over the typical hypocaloric diets [50].
As for other CVD risk factors often associated with overweight and T2DM, meta-analyses suggest that the KD also confers improvements in systolic and diastolic blood pressure [51] and does not appear to negatively affect kidney health, as indicated by stable blood–urea–nitrogen (BUN) and creatinine levels. Furthermore, the reduction in IR is closely linked to improved inflammatory status [52].
Nonetheless, the beneficial effects of KDs extend beyond their cardiovascular aspects. Research in mice has shown increased brown adipose tissue (BAT) levels following a KD [53], as a result of elevated ketone esters concentrations [54]. In fact, it is the greater postprandial lipid levels associated with the diet that increase the peroxisome proliferator-activated receptor α and γ transcription factors [55], initiating the transcription of uncoupling protein 1 and improving BAT differentiation [54]. In parallel, the thermogenic activity of the BAT is also increased [56].
Furthermore, the KDs have been shown to have appetite-suppressant effects, which may act as an important asset for improving adherence to low-energy diets and weight loss [57]. According to a systematic review [58], individuals adhering to energy-restricted KDs are less hungry and have a reduced desire to eat. The added clinical benefit of a KD is in preventing increases in appetite, irrespective of weight loss, as ketosis appears to provide a plausible anorexigenic mechanism [58], via the release of cholecystokinin (CCK), while reducing orexigenic signals [59].
Last, but not least, new research suggests circadian synchronicity following a KD and beneficial effects on sleep through the enhancement of slow-wave sleep and the rejuvenation of circadian programming [60].
3.3. Disadvantages of the KD
Despite its therapeutic potential, we still lack longitudinal data regarding the long-term effects of the KD. As a result, several researchers have highlighted the potential negative effects of long-term KD adherence regarding the primary and secondary prevention of CVD [61], based on the traditional atherogenic model. Recently, a large apparently healthy community-based cohort [62] associated elevated ketone bodies with a greater rate of CVD and mortality. Nonetheless, several studies have shown favorable results in the overall cardiometabolic profile of patients adhering to the KD, including weight loss, triglyceride levels, and high-density lipoprotein (HDL) cholesterol concentrations, as discussed in detail later. According to the National Lipid Association Nutrition and Lifestyle Task Force [63], the KD may confer advantages related to appetite suppression and a reduction in the concentrations of triglycerides and the required diabetes medication; however, it also demonstrates mixed effects on low-density lipoprotein (LDL) cholesterol levels. Moreover, we should also consider that the KD is the standard-of-care diet therapy for cystic fibrosis, followed by all patients, and no evidence of increased CVD risk has been shown to exist in this population [64]. Furthermore, a randomized controlled trial (RCT) [65] comparing the KD to a low-fat diet (both hypocaloric) among adult volunteers with overweight and hyperlipidemia motivated to lose weight for 6 months revealed that at the end of treatment, the KD changed the composition of LDL subclasses by increasing the proportion of large-sized buoyant LDL (with cardioprotective effects) and decreasing small-sized dense LDL (the primary cause of atherogenesis in the arterial intima). According to the American Heart Association [66], the KD has been shown to improve cardiovascular risk factors, including body weight, blood glucose, triglycerides, and HDL concentrations, when followed for a duration of 6 months. Nonetheless, it consists of a restrictive dietary pattern, raising concerns about nutrient adequacy [66].
Theoretically, another postulated limitation of the KDs is the low micronutrient content [67], posing a threat to the development of nutrient deficiencies. However, aside from thiamin deficiency, as most people on a KD tend to receive oral nutrient supplements (ONS) for micronutrients, no deficiencies have been noted in the literature thus far.
When initiating a KD, many individuals report “keto flu” symptoms, characterized by fatigue, headache, constipation, etc. [66]. These symptoms may act as deterrents to continuing the diet; however, they tend to improve over time as the body adapts to the alternative energy substrate [66]. Finally, the lack of food choices has also been noted, often leading to gradual non-adherence [66,68,69].
4. KDs for DM
Until the year 2019, the “healthy” diet for people with DM was a horizontal diet with ample CHO intake (50–55% of the TEI), adequate protein (15% of the TEI), and low fat (30–35% of the TEI). However, the 2019 consensus report published by the ADA [70] on MNT for adults with DM/prediabetes was a critical point in DM management, forming a paradigm shift in evidence-based dietetic practice.
Although the low-CHO diet (LCD) was first suggested as a treatment regime by Banting as early as 1864 [71], it was not until Dr Noakes was cleared for misconduct in 2016 that it started gaining awareness. Timothy Noakes, a professor in South Africa and patient with DM himself, was accused of misconduct for recommending adherence to a low-CHO eating pattern through social media. During the following years, a trial was conducted by the Health Professions Council of South Africa, during which scientific evidence was presented and appraised, and a plethora of scientists provided their opinion on the subject. This initiated the “diet wars”, with many scientists questioning the scientific rigor behind the nutrition guidelines, highlighting the need for an appraisal of the evidence and the formulation of more robust recommendations [72,73]. The increased scientific interest resulted in the production of several systematic reviews aiming to assess the efficacy of LCD in DM management [74,75].
4.1. The KD for T1DM
Before the discovery of insulin in 1920, the only treatment option for patients with T1DM was the LCD, with the CHO content of the diet restricted below 10 g/day [71]. After the introduction of insulin in the treatment of T1DM, the landscape changed dramatically, but diet remained an important contributor to the self-management of DM. The optimal treatment for T1DM is the combination of insulin with a healthy diet, aimed at limiting the consumption of CHO, since it is known that CHO is the main cause of postprandial hyperglycemia [76].
Table 3 details the existing primary research on the KD in patients with a T1DM diagnosis. Overall, it seems that when advice on following an LCD is given to patients with T1DM [77], better glycemic control is achieved by using less insulin each day (Table 3). Another study included 11 patients with T1DM and studied the effects of adhering to a KD (<55 g of CHO), indicating improvements in glycemic regulation and glycemic variability. However, these patients developed dyslipidemia and an increased risk for hypoglycemic events [78].
Table 3.
Studies implementing KD patterns in adult patients with T1DM.
Some researchers argue that good compliance with the KD is difficult to achieve in T1DM, suggesting that patients often tend to give up after 1–2 years of implementation due to intolerance and difficulty in choosing foods [82]. Overall, the studies implementing a KD pattern in patients with T1DM, although somehow underpowered, reveal improvements regarding the HbA1c levels, the glycemic variability, and the use of insulin [77,78,79,80]. As for children, it has been suggested that children applying such strict diets may present developmental deficits, fatigue, and a long-term increased CVD risk [83]. However, growth is rather dependent on the amount of protein consumed and not the result of low CHO intake. Thus, more research is required to evaluate the effects of well-designed KDs on providing adequate protein intake in children with T1DM.
In addition to the involvement of diet in the treatment of T1DM, the literature has also referred to the involvement of diet in the pathogenesis of the disease. The normal functioning of the intestine is due to the delicate balance of the intestinal microbiota and the immunity of its mucosa. It has been found that when this balance is disturbed, various autoimmune diseases can develop, such as T1DM [84,85]. The intestinal microbiota normally includes Clostridia, microorganisms that produce butyrate and have immunomodulating functions. Butyrate has been shown to exert a protective effect on the development of pancreatic β-cell autoimmunity, and patients with T1DM have been found to have a low number of Clostridia [86,87,88]. It is widely known that the intestinal microbiome is influenced by dietary habits [85]. For example, a diet high in fat and salt intake, which is common in western countries, can induce IgA responses in the gut microbiome and lead to the production of autoantibodies [85]. On the other hand, there is also evidence in the literature that a high-fat diet, both in mice and in humans, is associated with a protective role against the development of autoimmunity due to a reduction in Bacteroidetes and an increase in Firmicutes [76]. In general, the gut microbiome influences autoimmunity, but the way has not yet been fully elucidated, and it is still unclear whether a KD and an LCD can confer prevention from the development of autoimmunity and delay the onset of T1DM.
4.2. The KD for T2DM
T2DM is the direct epiphenomenon of overweight and obesity and is initiated as a prediabetic state, hallmarked by IR. As part of the comprehensive treatment of T2DM with obesity, MNT aims to improve insulin sensitivity and reduce body weight. The current ADA guidelines recommend a reduction in total CHO intake in adults with T2DM, LCD, or very-LCD (VLCD) who fail to meet glycemic targets. However, no recommendations have been suggested for the “ideal” proportion of CHOs or fat to the TEI [70].
Today, numerous meta-analyses have shown efficacy of the KD in reducing body weight and other obesity indices (BMI and waist circumference) [47,51,89,90,91,92,93,94], improving HbA1c levels, and improving blood lipid profiles [47,51,89,90,91,92,93,94,95] (Table 4). The reduction in glucose-lowering medications has also been noted by many meta-analyses [75,89,91,93], with some scientists vouching that pharmacotherapy can not only be significantly reduced but even completely withdrawn [96], as shown by studies reporting DM remission (defined as HbA1c < 6.5%) post-adherence to a KD [93,97]. According to Goldberg [93], patients adhering to an LCD for a period of 6 months may experience DM remission without adverse consequences. Moreover, greater CHO restriction is associated with an enhanced glucose-lowering effect [75].
In an early meta-analysis, Snorgaard and colleagues [75] suggested that the positive effects of the KD only last for approximately a year, with HbA1c being similar between control and KD thereafter. As with T1DM, low adherence was one of the issues reported by trialists [91], with low adherence to the strict dietary regime being one [89]. In fact, the more strict regime followed at VLCDs appears to be less effective than the less restrictive LCDs for improving body weight as a result of lower diet adherence [93].
Table 4.
Systematic reviews assessing the effect of KDs in T2DM/prediabetes.
Table 4.
Systematic reviews assessing the effect of KDs in T2DM/prediabetes.
| First Author | Included Studies | Results |
|---|---|---|
| Choi [47] | 14 RCTs | The effects of KD on glycemic control were greater relative to those of LFD for patients with T2DM, indicated by lower HbA1c and HOMA, while comparable effects were observed for nondiabetic patients. KDs led to substantial BW loss, irrespective of patients’ DM status at baseline and improved lipid profiles in terms of lower TG and greater HDL for patients with DM. KDs were more effective in improving metabolic parameters associated with glycemic, BW and lipid control in patients with overweight/obesity, and especially preexisting DM, as compared to LFDs. |
| Goldenberg [93] | 23 RCTs | At 6 months, LCDs achieved higher rates of diabetes remission compared with control diets. Large clinically important improvements were seen in BW loss, TG, and insulin sensitivity at 6 months, though they were diminished at 12 months. VLCDs were less effective than less restrictive LCDs for BW loss at 6 months, but this was explained by diet adherence. |
| Luo [94] | 21 RCTs | LCD exerted a greater impact on CV risk factors in overweight/obese patients with T2DM, with lower FPG and HbA1c levels. LCD reduced BMI, BW, and WC in overweight/obese patients with T2DM. Also, adherence to KDs improved lipid profiles with TG concentrations being lowered and HDL noting an upward trend. |
| Parry-Strong [95] | 8 RCTs of ≥6 months duration | A VLCD/KD may cause reductions in HbA1c and TG levels in patients with pre-diabetes/T2DM, but evidence of an advantage over other strategies remains limited. |
| Rafiullah [91] | 8 RCTs | Compared with control diets, the VLCD resulted in a greater decrease in HbA1c and BW loss after 3 and 6 months. The VLCD was not better than a control diet after 12 months. It was superior in decreasing TG, increasing HDL and reducing the use of antidiabetic drugs for up to 12 months. |
| Snorgaard [75] | 10 RCTs | In the first year of intervention, LCD was followed reduced HbA1c more compared with HCD. The greater the CHO restriction, the greater the glucose-lowering effect. At 1 year or later however, HbA1c was similar between the 2 diet arms. The effect of the 2 diets on BMI/BW, LDL, QoL, and attrition rate was similar throughout interventions. |
| Tinguely [89] | 14 CTs | KD improves HbA1c at 3 weeks, and the effect persists for at least a year, a result associated with a reduction in glucose-lowering medications. Additionally, the short-term observed BW loss is maintained with a long-term diet. Adequate support (psychological counseling, enhancing positive affectivity, reinforcing mindful eating) is required to achieve benefits and ensure adherence. |
| Yuan [90] | 13 RCTs | Post-KD, the levels of fasting glucose, HbA1c, total cholesterol, LDL and TG decreased, but HDL increased. In addition, BW, WC, and BMI also decreased. |
| Zaki [92] | 15 RCTs and observational studies | An LCD induced a greater reduction in the HbA1c than other diets. A decrease in HbA1c and BW was recorded when the KD was consumed compared to the control diets. |
| Zhou [51] | 8 RCTs | The KD reduced BW, WC, HbA1c and TG, and increased HDL levels. The KD may be an effective dietary intervention for BW, glycemia and lipid profiles in overweight with T2DM. |
BMI, body mass index; BW, body weight; CT, clinical trial; CV, cardiovascular; DM, diabetes mellitus; FPG, fasting plasma glucose; HbA1c, glycosylated hemoglobin; HCD, high carbohydrate diet; HDL, high-density lipoprotein; HOMA, homeostatic model assessment index; KD, ketogenic diet; LDL, low-density lipoprotein; LFD, low-fat diet; QoL, quality of life; RCT, randomized controlled trial; T2DM, type 2 diabetes mellitus; TG, triglycerides; VLCD, very low carbohydrate diet; WC, waist circumference.
5. Assessing the Concentration of Ketone Bodies
In the human body, ketone bodies can be quantified in the capillary blood, serum, and urine. Urine sticks used to measure ketones qualitatively and semi-quantitatively determine AcAc and acetone. They cannot, however, identify β-hydroxybutyrate (BHB). The urine sticks are impregnated with a nitroprusside reagent, which reacts with AcAc and acetone and, in this way, determines their existence or not. Because during DKA, AcAc is converted to hydroxybutyrate, AcAc levels are reduced, and its concentration in urine is also reduced. As a result, the assessment of urine ketone levels during DKA can often be misleading, underestimating the severity of acidosis. Furthermore, since urine is not expelled from the bladder immediately and may be retained for some time, measuring urine ketones is not always representative of what is happening simultaneously in the body and cannot determine the changes that occur in real time. In addition, the patient is not always ready to give a urine sample, especially in cases of ketosis characterized by dehydration. When capillary BHB and urinary ketone testing were compared, the first was shown to have high sensitivity, specificity, positive predictive value, and negative predictive value in identifying DKA [98]. As a result, the assessment of ketones in the urine is not the most preferred method when an immediate result is required [98]. Moreover, in patients with T1DM point of care (POC), blood ketone monitors have been shown to exert benefits in reducing assessment time, the duration of the admission, and the time until recovery from DKA [98,99]. Table 5 details all of the technology used to assess ketone body levels and diagnose DKA.
Table 5.
Technology used to assess ketone bodies levels and diagnose DKA *.
For all these reasons, the assessment of blood ketone levels is preferred since it is considered more reliable. Recently, the validity and reliability of measuring ketone bodies, and specifically BHB in capillary blood as bedside testing, have begun to be supported. This method seems to provide reliable results and has the advantage of immediate assessment and intervention. The approved POC ketone meters assess capillary blood ketone using dry-chemistry methodology, and they have been compared with reference enzymatic spectrophotometric assays and found to be valid [105].
A recent prospective study [106] included 171 patients with hyperglycemia (>11 mmol/L) and capillary blood ketone > 0.1 mmol/L presented at the emergency department. Urine, serum, and capillary ketones were measured in all patients. Some of the patients were diagnosed with ketoacidosis, and some with ketonemia alone. Capillary blood ketone concentrations showed greater sensitivity and specificity for the diagnosis of DKA compared with the level of urine ketone bodies. Akin capillary and serum ketone concentrations were noted [106]. In conclusion, it was shown that measuring ketones in capillary blood could be a good alternative to serum ketones assessment, and is certainly superior to measuring ketones in the urine [106].
In addition to blood and urine, breath acetone concentration is another non-invasive measure of ketosis [107]. The method relies on headspace solid-phase microextraction and gas chromatography-mass spectrometry (HS-SPME/GC-MS), with breath acetone concentrations varying between 1 and 1250 ppm in a healthy non-fasting state and DKA, respectively [108]. When compared to capillary blood glucose and ketone levels (BHB and AcAc), strong relationships were observed [107] in patients with T2DM. Furthermore, when tested on patients with T1DM, the breath ketone analyzer showed good sensitivity and low specificity to detect ketosis in adults but not in children [100] (Table 5).
Recently, the use of saliva enzymatic sensor strips has also been proposed as an alternative non-invasive method for detecting DKA and assessing ketone levels for lifestyle factors; however, no research has yet evaluated this method [101].
5.1. Ketonemia and Ketonuria in T1DM
In patients with T1DM, elevated glucose concentrations lead to higher circulating ketone levels and are associated with complications. There is a difference, however, between the ketogenesis induced by fasting, or KD, and the ketogenesis induced by uncontrolled DM [109]. During fasting or when adhering to a KD, the increased production of ketone bodies is intended to function as an alternative source of energy. On the contrary, the production of ketones caused by uncontrolled DM is the result of dysregulated metabolism and a lack of insulin and is not intended to function as an energy source [110]. Insulin contributes to the clearance of ketone bodies, and its deficiency leads to reduced clearance. Additionally, in patients with DM, the activity of BHB dehydrogenase is also reduced, a fact that also leads to an increase in the total concentration of ketones in the body [20].
Insulin inhibits lipolysis and increases the utilization of ketone bodies from peripheral tissues. Insulin also inhibits hormone-sensitive lipase (HSL) activity, which releases FFAs into the circulation. In T1DM, where insulin deficiency is apparent, an increase in lipolysis is observed [111]. Thus, in insulin deficiency, glucagon prevails, activating carnitine acyltransferase (CAT1), by which the FFAs are transferred from the circulation to the mitochondria of the liver cells. Then, the oxidation of FFAs takes place, and acetyl-CoA is produced [112]. Acetyl-CoA is used for the synthesis of ketone bodies (AcAc and BHB) [113].
DKA is the most frequent complication in T1DM, characterized by hyperglycemia, acidosis, and ketosis [114]. When the levels of counter-regulatory hormones are increased, the activation of HSL in the adipose tissue leads to increased triglyceride catabolism and the production of non-esterified fatty acids and glycerol. Glycerol is used as a substrate for gluconeogenesis, and fatty acids are oxidized to ketone bodies in the liver. In parallel, the increased concentration of glucagon leads to higher carnitine concentrations and decreased hepatic malonyl CoA in the liver, which stimulates CAT1, a key enzyme in the ketogenesis process, resulting in increased ketone body concentration. Moreover, in DKA, reduced ketone body clearance is observed due to insulin deficiency and decreased peripheral glucose utilization. DKA manifests quickly, and its clinical signs include polyuria, polydipsia, vomiting, abdominal pain, dehydration, weakness, tachycardia, kussmaul respiration, and, in severe cases, altered mental status [115].
5.2. Ketonemia and Ketonuria in T2DM
T2DM is a metabolic disease and is mainly characterized by IR and the coexistence of partial β-cell dysfunction. The incidence of the disease has increased rapidly in the last decades worldwide due to the increase in obesity and the sedentary lifestyle [116]. It has been estimated that in 2019, 463 million adults suffered from T2DM [117].
During the day, there is variation in the concentration of ketone bodies in the human body. Usually, ketone concentrations increase around midnight and in the morning hours (after fasting) and tend to decrease during the day after consuming CHO-rich meals. In parallel, as the age of patients increases, the ketone levels tend to decrease, in particular during the pre-dinner state [118].
5.3. Ketonemia and Ketonuria in Ketosis-Prone DM (KPDM)
Although in the past, a strict classification between different types of DM existed, it has since been observed that atypical forms occur more frequently. More specifically, a new subtype of DM has been observed characterized by DKA in patients lacking the typical phenotype of autoimmune T1DM [119]. This syndrome is characterized as “ketosis-prone DM” (KPDM) [120]. The first cases of KPDM were described in the 1960s in Africa, and generally, non-Caucasian individuals without a T1DM diagnosis are more prone to this type of DM [121]. It was observed that patients who presented with ketosis and required insulin therapy over time experienced remission of DM and were able to be released from insulin therapy, something that does not happen in patients with T1DM [122]. An increase in the records of such heterogeneous incidents followed in many nationalities. Great heterogeneity was observed among the described cases, so in the early 2000s, an attempt was made to classify them into subcategories, aiming to better understand and manage this distinct condition. The classification was based on the presence of islet autoantibodies and β-cell function reserves. As a result, a systematic classification of KPDM into four subcategories was established in 2003 using the Aβ classification system [123], as detailed in Table 6.
Table 6.
KPDM subtypes according to the Aβ classification system [123].
The most common form of KPDM is the A-β+KPDM, affecting about 50% of KPDM cases, followed by the types A-β-KPDM and A+β-KPDM at a prevalence ratio of 20% each, while the rarest form is the A+β+, which only affects 10% of cases [123].
Patients with KPDM and absence of β-cell function, A+β- and A-β- are diagnosed with DM early on, at a young age. They usually have a low body weight, and their treatment requires the administration of insulin. In the vast majority of patients, when there is loss of β-cell function and patients have been classified in the β-subcategory, the condition is considered irreversible, but in very few cases, at a rate of <1%, some improvement in β-cell function may be observed. The A+β- subgroup essentially corresponds to the autoimmune T1DM [123]. Subgroups A-β- and A+β- have similar phenotypes, and their notable difference is the presence or absence of islet autoantibodies. Patients who retain some functionality in the β cell, i.e., A-β+ form, have clinical features similar to T2DM but present with DKA. After the treatment of DKA, β-cell functionality remains and improves over time, and as a result, insulin dependence recedes for most of these patients within 4 to 8 months, and they achieve good glycemic control on oral medications for the following 4 years, at the very least. About half of these patients manage to maintain adequate β cell function for many years, and they achieve satisfactory glycemic control only on oral antidiabetic tablets. The other half, however, rapidly loses β-cell functionality and, after a short period on oral antidiabetic tablets, returns to insulin dependence again. It appears that patients diagnosed with DKA triggered by a stressful event have a worse prognosis and are more likely to be insulin dependent than those diagnosed with unprovoked DKA. The unprovoked A-β+ subgroup is characterized by late onset, presents more often in men with increased body weight, DKA at the initial diagnosis of diabetes, and the absence of islet autoantigens. In contrast, the provoked A-β+ subgroup presents in both males and females with a history of T2DM [124]. Patients with the A+β+ form of the disease share similar clinical features as those with T2DM, but also exhibit islet autoimmunity and usually present DKA at the diagnosis of diabetes. And in this form, about half of the patients will rapidly lose β-cell function and become insulin-dependent, while the other half have a better prognosis with prolonged preserved β-cell function and are insulin-independent [125].
With regard to the management of these patients post-diagnosis, the initial approach involves inpatient management of DKA with intravenous fluids and insulin. Subsequently, these patients are discharged from the hospital with instructions for subcutaneous insulin use and recommendations for the follow-up examination [126].
5.4. Ketonemia and Ketonuria in GDM
During pregnancy, many changes occur in the mother’s body, aiming to accommodate the developing fetus. Early pregnancy is characterized by anabolic processes, while late pregnancy is a catabolic phase [127]. In the second and third trimesters, an increase in lipolysis is observed, which leads to the production of FFAs, which are used as an energy source for the mother, while the fetus uses mostly glucose. As a result, during pregnancy, there is increased ketogenesis. Cases of ketoacidosis have been reported, even among healthy pregnant women, during periods of starvation. Moreover, women with GDM have been shown to have a higher ketone metabolism than those without GDM and are thus more prone to the development of ketonemia [19,128]. This may be the result of impaired pancreatic β-cell function, restricting insulin secretion while impairing glucose tolerance [129]. For this reason, women with GDM are encouraged to restrict their CHO intake and divide the intake of CHO throughout the day in order to achieve better glycemic regulation [130,131]. Nonetheless, this can often result in the development of ketonuria. Ketonuria is also observed in women with GDM, especially after fasting, and is correlated with elevated blood BHB concentrations [130]. However, it should be noted that, at the moment, we have not yet defined the level at which CHO restriction leads to increased ketone levels [132]. Few studies have assessed the effect of CHO restriction on the concentration of ketones in women with GDM (Table 7).
Table 7.
Primary studies evaluating the effect of CHO restriction in the concentration of ketones, in women with GDM.
It appears that some women exhibit urinary ketones [136] even when consuming the threshold value of 175 g/day suggested by the scientific authorities [131,137]. On the other hand, in the study conducted by Mijatovic [134], a mean intake of 165 g of CHO/day was not associated with detectable urinary ketone levels in women with GDM. Similarly, Potter and associates [135] failed to reveal differences in the urinary ketone levels between women with GDM on an LCD compared to untreated ones. Based on these findings, several scientists are advocating for lowering the dietary CHO threshold for managing GDM [138], whereas others are suggesting considering the placental CHO needs and increasing the threshold to 220 g of CHO/day [139].
Of note, aside from the duration of pregnancy, ketosis is also observed during labor as a residue of the increased physical stress and is linked with a greater likelihood of augmentation of labor, forceps-assisted delivery, and postpartum hemorrhage. Ketonuria has been related to prolonged labor duration [140].
It has been proven that ketone bodies cross the placenta. Recently, a radioisotope-labeled BHB was administered to pregnant rats, and within 5 min, it was detected in the fetus’ plasma [141]. During the third trimester, increased plasma 3HB has been associated with impaired neuropsychological development in the offspring [142]. Animal and in vitro studies [19] have revealed that ketone body levels are influencing cardiomyocyte glucose uptake [143], embryonic brain structural development [144], as well as tubular cell growth [145]. In an early study, ketonuria during pregnancy was associated with reduced intellectual status of the offspring at the age of 5 years, and reduced birth weight was also related to impaired intellectual status at the ages of 3 and 5 years [146]. However, no other data have verified this observation [147]. In parallel, data linking hyperketonemia or hyperketonuria with perinatal adverse events remain limited, and we are also lacking recommendations to manage such cases. As a result, the management of pregnant women with hyperketonemia/hyperketonuria has not been determined.
5.5. Ketone Bodies and Antidiabetic Medication
The main antidiabetic medications that have been linked to an increase in ketone body concentrations are sodium-glucose transport protein 2 (SGLT-2) inhibitors. These drugs exert their actions on the kidneys, where they increase the reabsorption of ketone bodies, and they also act on the pancreas, where they stimulate the secretion of glucagon from α-cells, resulting in an increase in ketone production and a simultaneous decrease in insulin production [148]. As a result, the use of CHO decreases and lipοlysis is amplified, leading to a further increase in the production of ketones in the liver [149]. This increase in ketone body concentrations among patients on SGLT-2 inhibitor therapy can rarely even lead to DKA, even when normal blood glucose concentrations are recorded [150]. Moreover, a recent study indicated that the co-administration of pioglitazone with SGLT-2 inhibitors may independently increase blood ketone body concentration [151].
On the other hand, liraglutide appears to exert an inhibitory effect on ketogenesis. In a recent trial [152], 26 patients with uncontrolled T1DM were randomized to liraglutide injections or placebo, respectively, after fasting, and it was shown that liraglutide did not induce any increments in ketone body concentrations in contrast to placebo. The action of liraglutide in the suppression of ketogenesis seems to be attributed mainly to the reduction in glucagon, but it is possible that liraglutide also exerts a direct action in the hepatocytes [152].
Regarding metformin, the data in the literature are conflicting. On the one hand, metformin seems to act antagonistically on BHB, tampering down the inflammation propelled by the increased BHB concentrations [153]. On the other hand, metformin also seems to increase the oxidation of fatty acids, and animal studies revealed an increase in ketone body concentration following the administration of metformin [154].
Last but not least, insulin is a well-studied drug, and it is widely known that its deficiency causes ketogenesis, while insulin administration reduces the concentrations of plasma ketone bodies [155]. However, it is worth noting that by administering insulin, initially, an increase in urine ketone levels is observed, and during the initial phase of recovery from DKA, BHB is converted to AcAc, which is the main ketone body assessed in the urine [156].
6. Conclusions
In conclusion, it seems that ketone bodies are involved in both the diagnosis and the lifestyle treatment of DM types, as well as in the diagnosis of DM complications. Early ketone detection using POC technologies can aid in the early diagnosis of DKA. Regarding the assessment of ketones in the blood and urine of patients with DM, more research is required to interpret the results and use this knowledge for the benefit of the patients. Specific medications have been shown to interact with ketones, altering the physiological response. Last but not least, although the KD appears to be a promising new addition to the MNT regimes for managing DM, further research is warranted to support its adoption.
Author Contributions
Conceptualization, D.G.G. and S.V.; methodology, S.V., M.G.G. and D.G.G.; investigation, S.V., M.G.G. and D.G.G.; resources, D.G.G.; data curation, S.V. and M.G.G.; writing—original draft preparation, S.V., M.G.G. and D.G.G.; writing—review and editing, S.V., M.G.G., E.K., G.M. and D.G.G.; supervision, D.G.G.; project administration, D.G.G. 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.
Data Availability Statement
All data are available within the manuscript text.
Conflicts of Interest
The authors declare no conflict of interest.
Abbreviations
| 3BHB | 3-β-hydroxybutyrate |
| α-KIC | α-ketoisocaproate |
| AcAc | Acetoacetate |
| Acetyl-CoA | Acetyl-coenzyme A |
| ADA | American Diabetes Association |
| AGA | Appropriate-for-gestational age |
| BAT | Brown adipose tissue |
| BHB | β-hydroxybutyrate |
| BMI | Body mass index |
| BUN | Blood–urea–nitrogen |
| BW | Body weight |
| CAT1 | Carnitine acyltransferase 1 |
| CC | Case-control |
| CCK | Cholecystokinin |
| CDKL5 | Cyclin-dependent kinase-like 5 |
| CHO | Carbohydrate |
| CPT-1 | Carnitine palmitoyltransferase |
| CT | Clinical trial |
| CV | Cardiovascular |
| CVD | Cardiovascular disease |
| DKA | Diabetic ketoacidosis |
| DM | Diabetes mellitus |
| FFAs | Free-fatty acids |
| FFM | Fat-free mass |
| FPG | Fasting plasma glucose |
| GC-MS | Gas chromatography-mass spectrometry |
| GDM | Gestational diabetes mellitus |
| GI | Glycemic index |
| GWG | Gestational weight gain |
| HbA1c | Glycosylated haemoglobin |
| HCD | High-carbohydrate diet |
| HDL | High-density lipoprotein |
| HOMA | Homeostatic model assessment index |
| HSL | Hormone-sensitive lipase |
| HS-SPME | Headspace solid-phase microextraction |
| IP | Insulin pump |
| IR | Insulin resistance |
| KD | Ketogenic diet |
| KPDM | Ketosis-prone diabetes mellitus |
| LADA | Latent autoimmune diabetes of adults |
| LCD | Low-carbohydrate diet |
| LCT | Long-chain triglycerides |
| LDL | Low-density lipoprotein |
| LED | Low-energy diet |
| LFD | low-fat diet |
| LGA | Large-for-gestational age |
| MAPK | Mitogen-activated protein kinase |
| MCT | Medium-chain triglycerides |
| MEM | Manual enzymatic method |
| MNT | Medical nutrition therapy |
| MODY | Mature-onset diabetes of the young |
| MUAC | Middle-upper arm circumference |
| N/A | Not applicable |
| NADPH | Nicotinamide adenine dinucleotide phosphate |
| NICE | National Institute of Healthcare and Excellence |
| NF-κB | Nuclear factor kappa-light-chain enhancer of activated B cells |
| NTD | Neural tube defects |
| NR | Not reported |
| OL | Open label |
| ONS | Oral nutrient supplements |
| POC | Point of care |
| PPP | pentose phosphate pathway |
| Pyr | Pyruvate |
| QoL | Quality of life |
| RCT | Randomized controlled trial |
| RQ | Respiratory quotient |
| SD | Standard diet |
| SGLT-2 | Sodium-glucose transport protein 2 |
| T1DM | Type 1 diabetes mellitus |
| T2DM | Type 2 diabetes mellitus |
| TEI | Total energy intake |
| TG | Triglycerides |
| VLCD | Very low carbohydrate diet |
| VLED | Very low-energy diet |
| WC | Waist circumference |
References
- Raghavan, S.; Vassy, J.L.; Ho, Y.; Song, R.J.; Gagnon, D.R.; Cho, K.; Wilson, P.W.F.; Phillips, L.S. Diabetes Mellitus–Related All-Cause and Cardiovascular Mortality in a National Cohort of Adults. J. Am. Heart Assoc. 2019, 8, e011295. [Google Scholar] [CrossRef]
- Safiri, S.; Karamzad, N.; Kaufman, J.S.; Bell, A.W.; Nejadghaderi, S.A.; Sullman, M.J.M.; Moradi-Lakeh, M.; Collins, G.; Kolahi, A.-A. Prevalence, Deaths and Disability-Adjusted-Life-Years (DALYs) Due to Type 2 Diabetes and Its Attributable Risk Factors in 204 Countries and Territories, 1990–2019: Results From the Global Burden of Disease Study 2019. Front. Endocrinol. 2022, 13, 838027. [Google Scholar] [CrossRef]
- Zhu, R.; Zhou, S.; Xia, L.; Bao, X. Incidence, Morbidity and years Lived With Disability due to Type 2 Diabetes Mellitus in 204 Countries and Territories: Trends From 1990 to 2019. Front. Endocrinol. 2022, 13, 905538. [Google Scholar] [CrossRef]
- American Diabetes Association. 2. Classification and diagnosis of diabetes: Standards of medical care in diabetes-2021. Diabetes Care 2021, 44, S15–S33. [Google Scholar] [CrossRef]
- Kahanovitz, L.; Sluss, P.M.; Russell, S.J. Type 1 Diabetes—A Clinical Perspective. Point Care 2017, 16, 37. [Google Scholar] [CrossRef] [PubMed]
- Galicia-Garcia, U.; Benito-Vicente, A.; Jebari, S.; Larrea-Sebal, A.; Siddiqi, H.; Uribe, K.B.; Ostolaza, H.; Martín, C. Pathophysiology of Type 2 Diabetes Mellitus. Int. J. Mol. Sci. 2020, 21, 6275. [Google Scholar] [CrossRef] [PubMed]
- Agha-Jaffar, R.; Johnston, D.G.; Robinson, S. Pathophysiology. In Comprehensive Clinical Approach to Diabetes During Pregnancy; Goulis, D.G., Ed.; Springer International Publishing: Berlin/Heidelberg, Germany, 2022; pp. 73–91. ISBN 9783030892432. [Google Scholar]
- Anastasiou, E.; Farmakidis, G.; Gerede, A.; Goulis, D.G.; Koukkou, E.; Kourtis, A.; Mamopoulos, A.; Papadimitriou, K.; Papadopoulos, V.; Stefos, T. Clinical practice guidelines on diabetes mellitus and pregnancy: ΙI. Gestational diabetes mellitus. Hormones 2020, 19, 601–607. [Google Scholar] [CrossRef] [PubMed]
- Vounzoulaki, E.; Tan, B.K. Epidemiology. In Comprehensive Clinical Approach to Diabetes During Pregnancy; Goulis, D.G., Ed.; Springer: Cham, Switzerland, 2022; pp. 13–28. [Google Scholar]
- Vince, K.; Perković, P.; Matijević, R. What is known and what remains unresolved regarding gestational diabetes mellitus (GDM). J. Perinat. Med. 2020, 48, 757–763. [Google Scholar] [CrossRef]
- Laffel, L. Ketone bodies: A review of physiology, pathophysiology and application of monitoring to diabetes. Diabetes Metab. Res. Rev. 1999, 15, 412–426. [Google Scholar] [CrossRef]
- Mezhnina, V.; Ebeigbe, O.P.; Velingkaar, N.; Poe, A.; Sandlers, Y.; Kondratov, R.V. Circadian clock controls rhythms in ketogenesis by interfering with PPARα transcriptional network. Proc. Natl. Acad. Sci. USA 2022, 119, e2205755119. [Google Scholar] [CrossRef]
- George, F.C. Fuel metabolism in starvation. Annu. Rev. Nutr. 2006, 26, 1–22. [Google Scholar]
- Chen, Q.; Du, J.; Cui, K.; Fang, W.; Zhao, Z.; Chen, Q.; Mai, K.; Ai, Q. Acetyl-CoA derived from hepatic mitochondrial fatty acid β-oxidation aggravates inflammation by enhancing p65 acetylation. iScience 2021, 24, 103244. [Google Scholar] [CrossRef]
- Wang, T.; Yao, W.; Li, J.; He, Q.; Shao, Y.; Huang, F. Role of gut microbiota, gut-brain and gut liver axes in physiological regulation of inflammation, energy balance, and metabolism: Acetyl-CoA from inflammation-induced fatty acids oxidation promotes hepatic malate-aspartate shuttle activity and glycolysis. Am. J. Physiol.—Endocrinol. Metab. 2018, 315, E496–E510. [Google Scholar] [CrossRef] [PubMed]
- Dhillon, K.K.; Gupta, S. Biochemistry, Ketogenesis; StatPearls Publishing: Treasure Island, FL, USA, 2020. [Google Scholar]
- BioRender BioRender. Available online: https://www.biorender.com/ (accessed on 17 September 2023).
- Puchalska, P.; Crawford, P.A. Multi-dimensional roles of ketone bodies in fuel metabolism, signaling, and therapeutics. Cell Metab. 2017, 25, 262. [Google Scholar] [CrossRef]
- Qian, M.; Wu, N.; Li, L.; Yu, W.; Ouyang, H.; Liu, X.; He, Y.; Al-Mureish, A. Effect of Elevated Ketone Body on Maternal and Infant Outcome of Pregnant Women with Abnormal Glucose Metabolism During Pregnancy. Diabetes. Metab. Syndr. Obes. 2020, 13, 4581–4588. [Google Scholar] [CrossRef] [PubMed]
- Kanikarla-Marie, P.; Jain, S.K. Hyperketonemia and ketosis increase the risk of complications in type 1 diabetes. Free Radic. Biol. Med. 2016, 95, 268–277. [Google Scholar] [CrossRef]
- Kanikarla-Marie, P.; Jain, S.K. Hyperketonemia (acetoacetate) upregulates NADPH oxidase 4 and elevates oxidative stress, ICAM-1, and monocyte adhesivity in endothelial cells. Cell. Physiol. Biochem. 2015, 35, 364–373. [Google Scholar] [CrossRef]
- Sussman, D.; van Eede, M.; Wong, M.D.; Adamson, S.L.; Henkelman, M. Effects of a ketogenic diet during pregnancy on embryonic growth in the mouse. BMC Pregnancy Childbirth 2013, 13, 109. [Google Scholar] [CrossRef]
- Horton, W.E.; Sadler, T.W. Effects of maternal diabetes on early embryogenesis. Alterations in morphogenesis produced by the ketone body, B-hydroxybutyrate. Diabetes 1983, 32, 610–616. [Google Scholar] [CrossRef]
- Horton, W.E.; Sadler, T.W. Mitochondrial alterations in embryos exposed to B-hydroxybutyrate in whole embryo culture. Anat. Rec. 1985, 213, 94–101. [Google Scholar] [CrossRef]
- Shum, L.; Sadler, T.W. Recovery by mouse embryos following teratogenic exposure to ketosis. Diabetologia 1991, 34, 289–295. [Google Scholar] [CrossRef]
- Shum, L.; Sadler, T.W. Embryonic catch-up growth after exposure to the ketone body D,L,-beta-hydroxybutyrate in vitro. Teratology 1988, 38, 369–379. [Google Scholar] [CrossRef]
- Hunter, E.S.; Sadler, T.W. D-(-)-beta-hydroxybutyrate-induced effects on mouse embryos in vitro. Teratology 1987, 36, 259–264. [Google Scholar] [CrossRef] [PubMed]
- Yang, X.; Håkan Borg, L.A.; Eriksson, U.F.J. Altered mitochondrial morphology of rat embryos in diabetic pregnancy. Anat. Rec. 1995, 241, 255–267. [Google Scholar] [CrossRef] [PubMed]
- Moore, D.C.P.; Stanisstreet, M.; Clarke, C.A. Morphological and physiological effects of beta-hydroxybutyrate on rat embryos grown in vitro at different stages. Teratology 1989, 40, 237–251. [Google Scholar] [CrossRef]
- Hwang, C.Y.; Choe, W.; Yoon, K.S.; Ha, J.; Kim, S.S.; Yeo, E.J.; Kang, I. Molecular Mechanisms for Ketone Body Metabolism, Signaling Functions, and Therapeutic Potential in Cancer. Nutrients 2022, 14, 4932. [Google Scholar] [CrossRef]
- Bailey, E.E.; Pfeifer, H.H.; Thiele, E.A. The use of diet in the treatment of epilepsy. Epilepsy Behav. 2005, 6, 4–8. [Google Scholar] [CrossRef]
- Rho, J.M.; Anderson, G.D.; Donevan, S.D.; White, H.S. Acetoacetate, acetone, and dibenzylamine (a contaminant in l-(+)-beta-hydroxybutyrate) exhibit direct anticonvulsant actions in vivo. Epilepsia 2002, 43, 358–361. [Google Scholar] [CrossRef] [PubMed]
- Wheless, J.W. History of the ketogenic diet. Epilepsia 2008, 49, 3–5. [Google Scholar] [CrossRef]
- Wilder, R.M. The effects of ketonemia on the course of epilepsy. Mayo Clin. Proc. 1921, 2, 307–308. [Google Scholar]
- Woodyatt, R.T. Objects and method of diet adjustment in diabetes. Arch. Intern. Med. 1921, 28, 125–141. [Google Scholar] [CrossRef]
- Martin-McGill, K.J.; Bresnahan, R.; Levy, R.G.; Cooper, P.N. Ketogenic diets for drug-resistant epilepsy. Cochrane Database Syst. Rev. 2020, 2020. [Google Scholar] [CrossRef]
- National Institute for Health and Care Excellence. National Institute for Health and Care Excellence Draft for Consultation Epilepsies in Children, Young People and Adults: Diagnosis and Management [12] Evidence Review: Ketogenic Diets for Drug-Resistant Epilepsy NICE Guideline <number> Evidence Review Underpinning Recommendation 8.1.1 and a Research Recommendation in the NICE Guideline DRAFT FOR CONSULTATION Contents; NICE: London, UK, 2021. [Google Scholar]
- Grammatikopoulou, M.G.; Goulis, D.G.; Gkiouras, K.; Theodoridis, X.; Gkouskou, K.K.; Evangeliou, A.; Dardiotis, E.; Bogdanos, D.P. To Keto or Not to Keto? A Systematic Review of Randomized Controlled Trials Assessing the Effects of Ketogenic Therapy on Alzheimer Disease. Adv. Nutr. 2020, 11, 1583–1602. [Google Scholar] [CrossRef]
- Pav, S.; Azaro, E.L.; Mart Inez, O.; Amayra, I.; L Opez-Paz, J.F.; Caballero, P.; Al-Rashaida, M.; Luna, P.M.; Garc, M.; Erez, M.P.; et al. Nutrition in Clinical Care Ketogenic diet and cognition in neurological diseases: A systematic review. Nutr. Rev. 2020, 79, 802–813. [Google Scholar] [CrossRef]
- Zhang, J.; Ma, J.; Chang, X.; Wu, P.; Li, S.; Wu, Y. Efficacy of ketogenic diet in CDKL5-related epilepsy: A single arm meta-analysis. Orphanet J. Rare Dis. 2022, 17, 385. [Google Scholar] [CrossRef]
- Grammatikopoulou, M.G.; Tousinas, G.; Balodimou, C.; Anastasilakis, D.A.; Gkiouras, K.; Dardiotis, E.; Evangeliou, A.E.; Bogdanos, D.P.; Goulis, D.G. Ketogenic therapy for Parkinson’s disease: A systematic review and synthesis without meta-analysis of animal and human trials. Maturitas 2022, 163, 46–61. [Google Scholar] [CrossRef]
- Ogawa, E.; Hishiki, T.; Hayakawa, N.; Suzuki, H.; Kosaki, K.; Suematsu, M.; Takenouchi, T. Ketogenic diet in action: Metabolic profiling of pyruvate dehydrogenase deficiency. Mol. Genet. Metab. Reports 2023, 35, 100968. [Google Scholar] [CrossRef] [PubMed]
- Armeno, M.; Caraballo, R.; Vaccarezza, M.; Alberti, M.J.; Ríos, V.; Galicchio, S.; de Grandis, E.S.; Mestre, G.; Escobal, N.; Matarrese, P.; et al. National consensus on the ketogenic diet. Rev. Neurol. 2014, 59, 213–223. [Google Scholar] [CrossRef]
- Huttenlocher, P.R.; Wilbourn, A.J.; Signore, J.M. Medium-chain triglycerides as a therapy for intractable childhood epilepsy. Neurology 1971, 21, 1097–1103. [Google Scholar] [CrossRef] [PubMed]
- Atkinson, F.S.; Foster-Powell, K.; Brand-Miller, J.C. International Tables of Glycemic Index and Glycemic Load Values: 2008. Diabetes Care 2008, 31, 2281. [Google Scholar] [CrossRef]
- Pfeifer, H.H.; Thiele, E.A. Low-glycemic-index treatment: A liberalized ketogenic diet for treatment of intractable epilepsy. Neurology 2005, 65, 1810–1812. [Google Scholar] [CrossRef] [PubMed]
- Choi, Y.J.; Jeon, S.M.; Shin, S. Impact of a Ketogenic Diet on Metabolic Parameters in Patients with Obesity or Overweight and with or without Type 2 Diabetes: A Meta-Analysis of Randomized Controlled Trials. Nutrients 2020, 12, 2005. [Google Scholar] [CrossRef] [PubMed]
- Patikorn, C.; Saidoung, P.; Pham, T.; Phisalprapa, P.; Lee, Y.Y.; Varady, K.A.; Veettil, S.K.; Chaiyakunapruk, N. Effects of ketogenic diet on health outcomes: An umbrella review of meta-analyses of randomized clinical trials. BMC Med. 2023, 21, 196. [Google Scholar] [CrossRef]
- Malhotra, V.; Sawal, A.; Malhotra, V.; Sawal, A. Metabolic Effects of Ketogenic Diets and Their Utilization in Obesity Management: A Systematic Review. Cureus 2023, 15, e36720. [Google Scholar] [CrossRef] [PubMed]
- Grammatikopoulou, M.G.; Gkouskou, K.K.; Gkiouras, K.; Bogdanos, D.P.; Eliopoulos, A.G.; Goulis, D.G. The Niche of n-of-1 Trials in Precision Medicine for Weight Loss and Obesity Treatment: Back to the Future. Curr. Nutr. Rep. 2022, 11, 133–145. [Google Scholar] [CrossRef] [PubMed]
- Zhou, C.; Wang, M.; Liang, J.; He, G.; Chen, N. Ketogenic Diet Benefits to Weight Loss, Glycemic Control, and Lipid Profiles in Overweight Patients with Type 2 Diabetes Mellitus: A Meta-Analysis of Randomized Controlled Trails. Int. J. Environ. Res. Public Health 2022, 19, 10429. [Google Scholar] [CrossRef]
- Ciaffi, J.; Mitselman, D.; Mancarella, L.; Brusi, V.; Lisi, L.; Ruscitti, P.; Cipriani, P.; Meliconi, R.; Giacomelli, R.; Borghi, C.; et al. The Effect of Ketogenic Diet on Inflammatory Arthritis and Cardiovascular Health in Rheumatic Conditions: A Mini Review. Front. Med. 2021, 8, 792846. [Google Scholar] [CrossRef]
- Srivastava, S.; Baxa, U.; Niu, G.; Chen, X.; Veech, R.L. A Ketogenic Diet Increases Brown Adipose Tissue Mitochondrial Proteins and UCP1 Levels in Mice. IUBMB Life 2013, 65, 58–66. [Google Scholar] [CrossRef]
- Veech, R.L. Ketone esters increase brown fat in mice and overcome insulin resistance in other tissues in the rat. Ann. N. Y. Acad. Sci. 2013, 1302, 42–48. [Google Scholar] [CrossRef]
- Barberá, M.J.; Schlüter, A.; Pedraza, N.; Iglesias, R.; Villarroya, F.; Giralt, M. Peroxisome proliferator-activated receptor alpha activates transcription of the brown fat uncoupling protein-1 gene. A link between regulation of the thermogenic and lipid oxidation pathways in the brown fat cell. J. Biol. Chem. 2001, 276, 1486–1493. [Google Scholar] [CrossRef]
- Mercer, S.W.; Trayhurn, P. Effect of high fat diets on the thermogenic activity of brown adipose tissue in cold-acclimated mice. J. Nutr. 1984, 114, 1151–1158. [Google Scholar] [CrossRef]
- Roekenes, J.; Martins, C. Ketogenic diets and appetite regulation. Curr. Opin. Clin. Nutr. Metab. Care 2021, 24, 359–363. [Google Scholar] [CrossRef] [PubMed]
- Gibson, A.A.; Seimon, R.V.; Lee, C.M.; Ayre, J.; Franklin, J.; Markovic, T.P.; Caterson, I.D.; Sainsbury, A. Do ketogenic diets really suppress appetite? A systematic review and meta-analysis. Obes. Rev. 2015, 16, 64–76. [Google Scholar] [CrossRef] [PubMed]
- Paoli, A.; Bosco, G.; Camporesi, E.M.; Mangar, D. Ketosis, ketogenic diet and food intake control: A complex relationship. Front. Psychol. 2015, 6, 104339. [Google Scholar] [CrossRef]
- O’Hearn, L.A. The therapeutic properties of ketogenic diets, slow-wave sleep, and circadian synchrony. Curr. Opin. Endocrinol. Diabetes. Obes. 2021, 28, 503–508. [Google Scholar] [CrossRef] [PubMed]
- Batch, J.T.; Lamsal, S.P.; Adkins, M.; Sultan, S.; Ramirez, M.N. Advantages and Disadvantages of the Ketogenic Diet: A Review Article. Cureus 2020, 12, e9639. [Google Scholar] [CrossRef]
- Shemesh, E.; Chevli, P.A.; Islam, T.; German, C.A.; Otvos, J.; Yeboah, J.; Rodriguez, F.; Defilippi, C.; Lima, J.A.C.; Blaha, M.; et al. Circulating ketone bodies and cardiovascular outcomes: The MESA study. Eur. Heart J. 2023, 44, 1636–1646. [Google Scholar] [CrossRef]
- Kirkpatrick, C.F.; Bolick, J.P.; Kris-Etherton, P.M.; Sikand, G.; Aspry, K.E.; Soffer, D.E.; Willard, K.E.; Maki, K.C. Review of current evidence and clinical recommendations on the effects of low-carbohydrate and very-low-carbohydrate (including ketogenic) diets for the management of body weight and other cardiometabolic risk factors: A scientific statement from the National Lipid Association Nutrition and Lifestyle Task Force. J. Clin. Lipidol. 2019, 13, 689–711.e1. [Google Scholar] [CrossRef]
- Poulimeneas, D.; Grammatikopoulou, M.G.; Devetzi, P.; Petrocheilou, A.; Kaditis, A.G.; Papamitsou, T.; Doudounakis, S.E.; Vassilakou, T. Adherence to Dietary Recommendations, Nutrient Intake Adequacy and Diet Quality among Pediatric Cystic Fibrosis Patients: Results from the GreeCF Study. Nutrients 2020, 12, 3126. [Google Scholar] [CrossRef]
- Westman, E.C.; Yancy, W.S.; Olsen, M.K.; Dudley, T.; Guyton, J.R. Effect of a low-carbohydrate, ketogenic diet program compared to a low-fat diet on fasting lipoprotein subclasses. Int. J. Cardiol. 2006, 110, 212–216. [Google Scholar] [CrossRef]
- Gardner, C.D.; Vadiveloo, M.K.; Petersen, K.S.; Anderson, C.A.M.; Springfield, S.; Van Horn, L.; Khera, A.; Lamendola, C.; Mayo, S.M.; Joseph, J.J. Popular Dietary Patterns: Alignment With American Heart Association 2021 Dietary Guidance: A Scientific Statement From the American Heart Association. Circulation 2023, 147, 1715–1730. [Google Scholar] [CrossRef] [PubMed]
- O’Neill, B.; Raggi, P. The ketogenic diet: Pros and cons. Atherosclerosis 2020, 292, 119–126. [Google Scholar] [CrossRef] [PubMed]
- Gardner, C.D.; Landry, M.J.; Perelman, D.; Petlura, C.; Durand, L.R.; Aronica, L.; Crimarco, A.; Cunanan, K.M.; Chang, A.; Dant, C.C.; et al. Effect of a ketogenic diet versus Mediterranean diet on glycated hemoglobin in individuals with prediabetes and type 2 diabetes mellitus: The interventional Keto-Med randomized crossover trial. Am. J. Clin. Nutr. 2022, 116, 640–652. [Google Scholar] [CrossRef]
- Gerber, S.; Rogers, G.; Staffier, K.; Karlsen, M.; Folta, S.; Jacques, P.; Naumova, E.; McKeown, N. Adherence, Compliance, and Diet Quality Among Popular Diet Followers. Curr. Dev. Nutr. 2022, 6, 364. [Google Scholar] [CrossRef]
- Evert, A.B.; Dennison, M.; Gardner, C.D.; Garvey, W.T.; Lau, K.H.K.; MacLeod, J.; Mitri, J.; Pereira, R.F.; Rawlings, K.; Robinson, S.; et al. Nutrition Therapy for Adults With Diabetes or Prediabetes: A Consensus Report. Diabetes Care 2019, 42, 731–754. [Google Scholar] [CrossRef]
- Banting, W. Letter on Corpulence: Addressed to the Public; Mohun, Ebbs and Hough: New York, NY, USA, 1864. [Google Scholar]
- Teicholz, N. The scientific report guiding the US dietary guidelines: Is it scientific? BMJ 2015, 351, h4962. [Google Scholar] [CrossRef] [PubMed]
- Bero, L.A.; Norris, S.L.; Lawrence, M.A. Making nutrition guidelines fit for purpose. BMJ 2019, 365, l1579. [Google Scholar] [CrossRef]
- van Zuuren, E.J.; Fedorowicz, Z.; Kuijpers, T.; Pijl, H. Effects of low-carbohydrate- compared with low-fat-diet interventions on metabolic control in people with type 2 diabetes: A systematic review including GRADE assessments. Am. J. Clin. Nutr. 2018, 108, 300–331. [Google Scholar] [CrossRef]
- Snorgaard, O.; Poulsen, G.M.; Andersen, H.K.; Astrup, A. Systematic review and meta-analysis of dietary carbohydrate restriction in patients with type 2 diabetes. BMJ Open Diabetes Res. Care 2017, 5, e000354. [Google Scholar] [CrossRef]
- Bolla, A.M.; Caretto, A.; Laurenzi, A.; Scavini, M.; Piemonti, L. Low-carb and ketogenic diets in type 1 and type 2 diabetes. Nutrients 2019, 11, 952. [Google Scholar] [CrossRef]
- Krebs, J.D.; Strong, A.P.; Cresswell, P.; Reynolds, A.N.; Hanna, A.; Haeusler, S. A randomised trial of the feasibility of a low carbohydrate diet vs standard carbohydrate counting in adults with type 1 diabetes taking body weight into account. Asia Pac. J. Clin. Nutr. 2016, 25, 78–84. [Google Scholar] [CrossRef]
- Leow, Z.Z.X.; Guelfi, K.J.; Davis, E.A.; Jones, T.W.; Fournier, P.A. The glycaemic benefits of a very-low-carbohydrate ketogenic diet in adults with Type 1 diabetes mellitus may be opposed by increased hypoglycaemia risk and dyslipidaemia. Diabet. Med. 2018, 35, 1258–1263. [Google Scholar] [CrossRef] [PubMed]
- Ranjan, A.; Schmidt, S.; Damm-Frydenberg, C.; Holst, J.J.; Madsbad, S.; Nørgaard, K. Short-term effects of a low carbohydrate diet on glycaemic variables and cardiovascular risk markers in patients with type 1 diabetes: A randomized open-label crossover trial. Diabetes. Obes. Metab. 2017, 19, 1479–1484. [Google Scholar] [CrossRef]
- Schmidt, S.; Christensen, M.B.; Serifovski, N.; Damm-Frydenberg, C.; Jensen, J.E.B.; Fløyel, T.; Størling, J.; Ranjan, A.; Nørgaard, K. Low versus high carbohydrate diet in type 1 diabetes: A 12-week randomized open-label crossover study. Diabetes. Obes. Metab. 2019, 21, 1680–1688. [Google Scholar] [CrossRef] [PubMed]
- Nolan, J.; Rush, A.; Kaye, J. Glycaemic stability of a cyclist with Type 1 diabetes: 4011 km in 20 days on a ketogenic diet. Diabet. Med. 2019, 36, 1503–1507. [Google Scholar] [CrossRef]
- Dressler, A.; Reithofer, E.; Trimmel-Schwahofer, P.; Klebermasz, K.; Prayer, D.; Kasprian, G.; Rami, B.; Schober, E.; Feucht, M. Type 1 diabetes and epilepsy: Efficacy and safety of the ketogenic diet. Epilepsia 2010, 51, 1086–1089. [Google Scholar] [CrossRef]
- de Bock, M.; Lobley, K.; Anderson, D.; Davis, E.; Donaghue, K.; Pappas, M.; Siafarikas, A.; Cho, Y.H.; Jones, T.; Smart, C. Endocrine and metabolic consequences due to restrictive carbohydrate diets in children with type 1 diabetes: An illustrative case series. Pediatr. Diabetes 2018, 19, 129–137. [Google Scholar] [CrossRef] [PubMed]
- Vaarala, O.; Atkinson, M.A.; Neu, J. The “perfect storm” for type 1 diabetes: The complex interplay between intestinal microbiota, gut permeability, and mucosal immunity. Diabetes 2008, 57, 2555–2562. [Google Scholar] [CrossRef]
- Petta, I.; Fraussen, J.; Somers, V.; Kleinewietfeld, M. Interrelation of diet, gut microbiome, and autoantibody production. Front. Immunol. 2018, 9, 439. [Google Scholar] [CrossRef]
- Conlon, M.A.; Bird, A.R. The impact of diet and lifestyle on gut microbiota and human health. Nutrients 2015, 7, 17–44. [Google Scholar] [CrossRef]
- Mariño, E.; Richards, J.L.; McLeod, K.H.; Stanley, D.; Yap, Y.A.; Knight, J.; McKenzie, C.; Kranich, J.; Oliveira, A.C.; Rossello, F.J.; et al. Gut microbial metabolites limit the frequency of autoimmune T cells and protect against type 1 diabetes. Nat. Immunol. 2017, 18, 552–562. [Google Scholar] [CrossRef] [PubMed]
- Pellegrini, S.; Sordi, V.; Bolla, A.M.; Saita, D.; Ferrarese, R.; Canducci, F.; Clementi, M.; Invernizzi, F.; Mariani, A.; Bonfanti, R.; et al. Duodenal mucosa of patients with type 1 diabetes shows distinctive inflammatory profile and microbiota. J. Clin. Endocrinol. Metab. 2017, 102, 1468–1477. [Google Scholar] [CrossRef]
- Tinguely, D.; Gross, J.; Kosinski, C. Efficacy of Ketogenic Diets on Type 2 Diabetes: A Systematic Review. Curr. Diab. Rep. 2021, 21, 32. [Google Scholar] [CrossRef] [PubMed]
- Yuan, X.; Wang, J.; Yang, S.; Gao, M.; Cao, L.; Li, X.; Hong, D.; Tian, S.; Sun, C. Effect of the ketogenic diet on glycemic control, insulin resistance, and lipid metabolism in patients with T2DM: A systematic review and meta-analysis. Nutr. Diabetes 2020, 10, 38. [Google Scholar] [CrossRef]
- Rafiullah, M.; Musambil, M.; David, S.K. Effect of a very low-carbohydrate ketogenic diet vs recommended diets in patients with type 2 diabetes: A meta-analysis. Nutr. Rev. 2022, 80, 488–502. [Google Scholar] [CrossRef]
- Zaki, H.A.; Iftikhar, H.; Bashir, K.; Gad, H.; Fahmy, A.S.; Elmoheen, A. A Comparative Study Evaluating the Effectiveness Between Ketogenic and Low-Carbohydrate Diets on Glycemic and Weight Control in Patients With Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis. Cureus 2022, 14, e25528. [Google Scholar] [CrossRef] [PubMed]
- Goldberg, J.Z.; Day, A.; Brinkworth, G.D.; Sato, J.; Yamada, S.; Jönsson, T.; Beardsley, J.; Johnson, J.A.; Thabane, L.; Johnson, B.C. Efficacy and safety of low and very low carbohydrate diets for type 2 diabetes remission: Systematic review and meta-analysis of published and unpublished randomized trial data. BMJ 2021, 372, m4743. [Google Scholar] [CrossRef]
- Luo, W.; Zhang, J.; Xu, D.; Zhou, Y.; Qu, Z.; Yang, Q.; Lv, Q. Low carbohydrate ketogenic diets reduce cardiovascular risk factor levels in obese or overweight patients with T2DM: A meta-analysis of randomized controlled trials. Front. Nutr. 2022, 9, 1092031. [Google Scholar] [CrossRef]
- Parry-Strong, A.; Wright-McNaughton, M.; Weatherall, M.; Hall, R.M.; Coppell, K.J.; Barthow, C.; Krebs, J.D. Very low carbohydrate (ketogenic) diets in type 2 diabetes: A systematic review and meta-analysis of randomized controlled trials. Diabetes Obes. Metab. 2022, 24, 2431–2442. [Google Scholar] [CrossRef]
- Dyńka, D.; Kowalcze, K.; Ambrozkiewicz, F.; Paziewska, A. Effect of the Ketogenic Diet on the Prophylaxis and Treatment of Diabetes Mellitus: A Review of the Meta-Analyses and Clinical Trials. Nutrients 2023, 15, 500. [Google Scholar] [CrossRef] [PubMed]
- Cox, N.; Gibas, S.; Salisbury, M.; Gomer, J.; Gibas, K. Ketogenic diets potentially reverse Type II diabetes and ameliorate clinical depression: A case study. Diabetes Metab. Syndr. 2019, 13, 1475–1479. [Google Scholar] [CrossRef]
- Brooke, J.; Stiell, M.; Ojo, O. Evaluation of the Accuracy of Capillary Hydroxybutyrate Measurement Compared with Other Measurements in the Diagnosis of Diabetic Ketoacidosis: A Systematic Review. Int. J. Environ. Res. Public Health 2016, 13, 837. [Google Scholar] [CrossRef]
- Dhatariya, K. The use of point-of-care blood ketone monitors in the management of diabetic ketoacidosis in adults. Ann. Clin. Biochem. 2014, 51, 525–527. [Google Scholar] [CrossRef] [PubMed]
- Akturk, H.K.; Snell-Bergeon, J.; Pyle, L.; Fivekiller, E.; Garg, S.; Cobry, E. Accuracy of a breath ketone analyzer to detect ketosis in adults and children with type 1 diabetes. J. Diabetes Complicat. 2021, 35, 108030. [Google Scholar] [CrossRef]
- Moonla, C.; Del Caño, R.; Sakdaphetsiri, K.; Saha, T.; De la Paz, E.; Düsterloh, A.; Wang, J. Disposable screen-printed electrochemical sensing strips for rapid decentralized measurements of salivary ketone bodies: Towards therapeutic and wellness applications. Biosens. Bioelectron. 2023, 220, 114891. [Google Scholar] [CrossRef] [PubMed]
- Coetzee, A.; Hoffmann, M.; Ascott-Evans, B.H. The role of point-of-care blood testing for ketones in the diagnosis of diabetic ketoacidosis. S. Afr. Med. J. 2015, 105, 756–759. [Google Scholar] [CrossRef]
- Lohano, P.D.; Ibrahim, M.; Raza, S.J.; Gowa, M.; Baloch, S.H. Comparing Finger-stick Beta-eta-hydroxybutyrate with Dipstick Urine Tests in the Detection of Ketone Bodies in the Diagnosis of Children with Diabetic Ketoacidosis. J. Coll. Physicians Surg. Pak. 2022, 32, 483–486. [Google Scholar] [CrossRef]
- Voulgari, C.; Tentolouris, N. The performance of a glucose-ketone meter in the diagnosis of diabetic ketoacidosis in patients with type 2 diabetes in the emergency room. Diabetes Technol. Ther. 2010, 12, 529–535. [Google Scholar] [CrossRef] [PubMed]
- Dhatariya, K. Blood ketones: Measurement, interpretation, limitations, and utility in the management of diabetic ketoacidosis. Rev. Diabet. Stud. 2016, 13, 217–225. [Google Scholar] [CrossRef]
- Misra, S.; Oliver, N.S. Utility of ketone measurement in the prevention, diagnosis and management of diabetic ketoacidosis. Diabet. Med. 2015, 32, 14–23. [Google Scholar] [CrossRef]
- Saasa, V.; Beukes, M.; Lemmer, Y.; Mwakikunga, B. Blood Ketone Bodies and Breath Acetone Analysis and Their Correlations in Type 2 Diabetes Mellitus. Diagnostics 2019, 9, 224. [Google Scholar] [CrossRef]
- Huang, J.; Yeung, A.M.; Bergenstal, R.M.; Castorino, K.; Cengiz, E.; Dhatariya, K.; Niu, I.; Sherr, J.L.; Umpierrez, G.E.; Klonoff, D.C. Update on Measuring Ketones. J. Diabetes Sci. Technol. 2023. [Google Scholar] [CrossRef] [PubMed]
- Sherwin, R.S.; Hendler, R.G.; Felig, P. Effect of diabetes mellitus and insulin on the turnover and metabolic response to ketones in man. Diabetes 1976, 25, 776–784. [Google Scholar] [CrossRef] [PubMed]
- Hall, S.E.H.; Wastney, M.E.; Bolton, T.M.; Braaten, J.T.; Berman, M. Ketone body kinetics in humans: The effects of insulin-dependent diabetes, obesity, and starvation. J. Lipid Res. 1984, 25, 1184–1194. [Google Scholar] [CrossRef] [PubMed]
- Fukao, T.; Lopaschuk, G.D.; Mitchell, G.A. Pathways and control of ketone body metabolism: On the fringe of lipid biochemistry. Prostaglandins Leukot. Essent. Fat. Acids 2004, 70, 243–251. [Google Scholar] [CrossRef]
- Foster, D.W.; McGarry, J.D. The regulation of ketogenesis. Ciba Found. Symp. 1982, 87, 120–131. [Google Scholar] [CrossRef]
- Shi, L.; Tu, B.P. Acetyl-CoA and the regulation of metabolism: Mechanisms and consequences. Curr. Opin. Cell Biol. 2015, 33, 125–131. [Google Scholar] [CrossRef] [PubMed]
- Shahid, W.; Khan, F.; Makda, A.; Kumar, V.; Memon, S.; Rizwan, A. Diabetic Ketoacidosis: Clinical Characteristics and Precipitating Factors. Cureus 2020, 12, e10792. [Google Scholar] [CrossRef] [PubMed]
- Nyenwe, E.A.; Kitabchi, A.E. The evolution of diabetic ketoacidosis: An update of its etiology, pathogenesis and management. Metabolism. 2016, 65, 507–521. [Google Scholar] [CrossRef]
- Ahmad, E.; Lim, S.; Lamptey, R.; Webb, D.R.; Davies, M.J. Type 2 diabetes. Lancet 2022, 400, 1803–1820. [Google Scholar] [CrossRef]
- Tinajero, M.G.; Malik, V.S. An Update on the Epidemiology of Type 2 Diabetes: A Global Perspective. Endocrinol. Metab. Clin. North Am. 2021, 50, 337–355. [Google Scholar] [CrossRef] [PubMed]
- Nakayama, H.; Tokubuchi, I.; Wada, N.; Tsuruta, M.; Ohki, T.; Oshige, T.; Sasaki, Y.; Iwata, S.; Kato, N.; Ohtsuka, Y.; et al. Age-related changes in the diurnal variation of ketogenesis in patients with type 2 diabetes and relevance to hypoglycemic medications. Endocr. J. 2015, 62, 235–241. [Google Scholar] [CrossRef]
- Balasubramanyam, A.; Nalini, R.; Hampe, C.S.; Maldonado, M. Syndromes of ketosis-prone diabetes mellitus. Endocr. Rev. 2008, 29, 292–302. [Google Scholar] [CrossRef] [PubMed]
- Makahleh, L.; Othman, A.; Vedantam, V.; Vedantam, N. Ketosis-Prone Type 2 Diabetes Mellitus: An Unusual Presentation. Cureus 2022, 14, e30031. [Google Scholar] [CrossRef] [PubMed]
- Misra, S.; Oliver, N.S.; Dornhorst, A. Diabetic ketoacidosis: Not always due to type 1 diabetes. BMJ 2013, 346, f3501. [Google Scholar] [CrossRef]
- Gaba, R.; Mehta, P.; Balasubramanyam, A. Evaluation and management of ketosis-prone diabetes. Expert Rev. Endocrinol. Metab. 2019, 14, 43–48. [Google Scholar] [CrossRef]
- Balasubramanyam, A. Syndromes of Ketosis-Prone Diabetes. Trans. Am. Clin. Climatol. Assoc. 2019, 130, 145–155. [Google Scholar]
- Das Gupta, R.; Atri, A.; Mondal, S.; Bhattacharjee, A.; Garai, R.; Hazra, A.K.; Choudhury, B.; Dutta, D.S.; Lodh, M.; Ganguly, A. Characterizing progressive beta-cell recovery after new-onset DKA in COVID-19 provoked A-β+ KPD (ketosis-prone diabetes): A prospective study from Eastern India. J. Diabetes Complicat. 2022, 36, 108100. [Google Scholar] [CrossRef]
- Hampe, C.S.; Nalini, R.; Maldonado, M.R.; Hall, T.R.; Garza, G.; Iyer, D.; Balasubramanyam, A. Association of amino-terminal-specific antiglutamate decarboxylase (GAD65) autoantibodies with β-cell functional reserve and a milder clinical phenotype in patients with GAD65 antibodies and ketosis-prone diabetes mellitus. J. Clin. Endocrinol. Metab. 2007, 92, 462–467. [Google Scholar] [CrossRef]
- Kitabchi, A.E.; Umpierrez, G.E.; Fisher, J.N.; Murphy, M.B.; Stentz, F.B. Thirty years of personal experience in hyperglycemic crises: Diabetic ketoacidosis and hyperglycemic hyperosmolar state. J. Clin. Endocrinol. Metab. 2008, 93, 1541–1552. [Google Scholar] [CrossRef]
- Kovacs, C.S.; Deal, C.L. Maternal-Fetal and Neonatal Endocrinology: Physiology, Pathophysiology, and Clinical Management; Academic Press: Cambridge, MA, USA, 2020; ISBN 9780128148235. Available online: https://www.sciencedirect.com/book/9780128148235/maternal-fetal-and-neonatal-endocrinology (accessed on 17 September 2023).
- White, S.L.; Pasupathy, D.; Sattar, N.; Nelson, S.M.; Lawlor, D.A.; Briley, A.L.; Seed, P.T.; Welsh, P.; Poston, L. Metabolic profiling of gestational diabetes in obese women during pregnancy. Diabetologia 2017, 60, 1903–1912. [Google Scholar] [CrossRef]
- Baz, B.; Riveline, J.P.; Gautier, J.F. Endocrinology of pregnancy: Gestational diabetes mellitus: Definition, aetiological and clinical aspects. Eur. J. Endocrinol. 2016, 174, R43–R51. [Google Scholar] [CrossRef]
- Bronisz, A.; Ozorowski, M.; Hagner-Derengowska, M. Pregnancy ketonemia and development of the fetal central nervous system. Int. J. Endocrinol. 2018, 2018, 1242901. [Google Scholar] [CrossRef] [PubMed]
- Tsirou, E.; Grammatikopoulou, M.G.; Theodoridis, X.; Gkiouras, K.; Petalidou, A.; Taousani, E.; Savvaki, D.; Tsapas, A.; Goulis, D.G. Guidelines for Medical Nutrition Therapy in Gestational Diabetes Mellitus: Systematic Review and Critical Appraisal. J. Acad. Nutr. Diet. 2019, 119, 1320–1339. [Google Scholar] [CrossRef]
- Tanner, H.L.; Dekker Nitert, M.; Callaway, L.K.; Barrett, H.L. Ketones in Pregnancy: Why Is It Considered Necessary to Avoid Them and What Is the Evidence Behind Their Perceived Risk? Diabetes Care 2021, 44, 280–289. [Google Scholar] [CrossRef]
- Major, C.A.; Henry, M.J.; De Veciana, M.; Morgan, M.A. The effects of carbohydrate restriction in patients with diet-controlled gestational diabetes. Obstet. Gynecol. 1998, 91, 600–604. [Google Scholar] [CrossRef] [PubMed]
- Mijatovic, J.; Louie, J.C.Y.; Buso, M.E.C.; Atkinson, F.S.; Ross, G.P.; Markovic, T.P.; Brand-Miller, J.C. Effects of a modestly lower carbohydrate diet in gestational diabetes: A randomized controlled trial. Am. J. Clin. Nutr. 2020, 112, 284–292. [Google Scholar] [CrossRef] [PubMed]
- Potter, J.M.; Reckless, J.P.D.; Cullen, D.R. Diurnal variations in blood intermediary metabolites in mild gestational diabetic patients and the effect of a carbohydrate-restricted diet. Diabetologia 1982, 22, 68–72. [Google Scholar] [CrossRef]
- Tsirou, E.; Grammatikopoulou, M.G.; Nigdelis, M.P.; Taousani, E.; Savvaki, D.; Assimakopoulos, E.; Tsapas, A.; Goulis, D.G. TIMER: A Clinical Study of Energy Restriction in Women with Gestational Diabetes Mellitus. Nutrients 2021, 13, 2457. [Google Scholar] [CrossRef]
- Duarte-Gardea, M.O.; Gonzales-Pacheco, D.M.; Reader, D.M.; Thomas, A.M.; Wang, S.R.; Gregory, R.P.; Piemonte, T.A.; Thompson, K.L.; Moloney, L. Academy of Nutrition and Dietetics Gestational Diabetes Evidence-Based Nutrition Practice Guideline. J. Acad. Nutr. Diet. 2018, 118, 1719–1742. [Google Scholar] [CrossRef]
- Sweeting, A.; Mijatovic, J.; Brinkworth, G.D.; Markovic, T.P.; Ross, G.P.; Brand-Miller, J.; Hernandez, T.L. The Carbohydrate Threshold in Pregnancy and Gestational Diabetes: How Low Can We Go? Nutrients 2021, 13, 2599. [Google Scholar] [CrossRef] [PubMed]
- Hernandez, T.L.; Rozance, P.J. Re-examination of the estimated average requirement for carbohydrate intake during pregnancy: Addition of placental glucose consumption. Am. J. Clin. Nutr. 2023, 117, 227–234. [Google Scholar] [CrossRef] [PubMed]
- Toohill, J.; Soong, B.; Flenady, V. Interventions for ketosis during labour. Cochrane Database Syst. Rev. 2008. [Google Scholar] [CrossRef]
- Seccombe, D.W.; Harding, P.G.R.; Possmayer, F. Fetal utilization of maternally derived ketone bodies for lipogenesis in the rat. Biochim. Biophys. Acta (BBA)/Lipids Lipid Metab. 1977, 488, 402–416. [Google Scholar] [CrossRef]
- Spanou, L.; Dalakleidi, K.; Zarkogianni, K.; Papadimitriou, A.; Nikita, K.; Vasileiou, V.; Alevizaki, M.; Anastasiou, E. Ketonemia and ketonuria in gestational diabetes mellitus. Hormones 2015, 14, 644–650. [Google Scholar] [CrossRef]
- Pelletier, A.; Coderre, L. Ketone bodies alter dinitrophenol-induced glucose uptake through AMPK inhibition and oxidative stress generation in adult cardiomyocytes. Am. J. Physiol. Endocrinol. Metab. 2007, 292, E1325–E1332. [Google Scholar] [CrossRef]
- Sussman, D.; Ellegood, J.; Henkelman, M. A gestational ketogenic diet alters maternal metabolic status as well as offspring physiological growth and brain structure in the neonatal mouse. BMC Pregnancy Childbirth 2013, 13, 198. [Google Scholar] [CrossRef] [PubMed]
- Guh, J.Y.; Der Chuang, T.; Chen, H.C.; Hung, W.C.; Lai, Y.H.; Shin, S.J.; Chuang, L.Y. Beta-hydroxybutyrate-induced growth inhibition and collagen production in HK-2 cells are dependent on TGF-beta and Smad3. Kidney Int. 2003, 64, 2041–2051. [Google Scholar] [CrossRef]
- Stehbens, J.A.; Baker, G.L.; Kitchell, M. Outcome at ages 1, 3, and 5 years of children born to diabetic women. Am. J. Obstet. Gynecol. 1977, 127, 408–413. [Google Scholar] [CrossRef]
- Grammatikopoulou, M.G.; Magkos, F. Medical Nutrition Therapy. In Comprehensive Clinical Approach to Diabetes During Pregnancy; Goulis, D.G., Ed.; Springer: Cham, Switzerland, 2022; pp. 205–229. [Google Scholar]
- Somagutta, M.R.; Agadi, K.; Hange, N.; Jain, M.S.; Batti, E.; Emuze, B.O.; Amos-Arowoshegbe, E.O.; Popescu, S.; Hanan, S.; Kumar, V.R.; et al. Euglycemic Diabetic Ketoacidosis and Sodium-Glucose Cotransporter-2 Inhibitors: A Focused Review of Pathophysiology, Risk Factors, and Triggers. Cureus 2021, 13, e13665. [Google Scholar] [CrossRef]
- Palmer, B.F.; Clegg, D.J. Euglycemic Ketoacidosis as a Complication of SGLT2 Inhibitor Therapy. Clin. J. Am. Soc. Nephrol. 2021, 16, 1284–1291. [Google Scholar] [CrossRef] [PubMed]
- Lupsa, B.C.; Kibbey, R.G.; Inzucchi, S.E. Ketones: The double-edged sword of SGLT2 inhibitors? Diabetologia 2023, 66, 23–32. [Google Scholar] [CrossRef] [PubMed]
- Lin, C.W.; Hung, S.Y.; Chen, I.W. Relationship of concomitant anti-diabetic drug administration with sodium-glucose co-transporter 2 inhibitor-related ketosis. J. Int. Med. Res. 2022, 50, 03000605221090095. [Google Scholar] [CrossRef]
- Garg, M.; Ghanim, H.; Kuhadiya, N.D.; Green, K.; Hejna, J.; Abuaysheh, S.; Torre, B.; Batra, M.; Makdissi, A.; Chaudhuri, A.; et al. Liraglutide acutely suppresses glucagon, lipolysis and ketogenesis in type 1 diabetes. Diabetes. Obes. Metab. 2017, 19, 1306–1311. [Google Scholar] [CrossRef] [PubMed]
- Xu, T.; Lu, X.; Arbab, A.A.I.; Wu, X.; Mao, Y.; Loor, J.J.; Yang, Z. Metformin acts to suppress β-hydroxybutyric acid-mediated inflammatory responses through activation of AMPK signaling in bovine hepatocytes. J. Anim. Sci. 2021, 99, skab153. [Google Scholar] [CrossRef]
- Tokubuchi, I.; Tajiri, Y.; Iwata, S.; Hara, K.; Wada, N.; Hashinaga, T.; Nakayama, H.; Mifune, H.; Yamada, K. Beneficial effects of metformin on energy metabolism and visceral fat volume through a possible mechanism of fatty acid oxidation in human subjects and rats. PLoS ONE 2017, 12, e0171293. [Google Scholar] [CrossRef]
- Lucidi, P.; Porcellati, F.; Cioli, P.; Candeloro, P.; Marinelli Andreoli, A.; Bolli, G.B.; Fanelli, C.G. Greater Suppression of Glucagon, Lipolysis, and Ketogenesis with Insulin Glargine U300 as Compared with Glargine U100 in Type 1 Diabetes Mellitus. Diabetes Technol. Ther. 2020, 22, 57–61. [Google Scholar] [CrossRef]
- Castellanos, L.; Tuffaha, M.; Koren, D.; Levitsky, L.L. Management of Diabetic Ketoacidosis in Children and Adolescents with Type 1 Diabetes Mellitus. Paediatr. Drugs 2020, 22, 357–367. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).