Next Article in Journal
Metabolic Bile Acid Profile Impairments in Dogs Affected by Chronic Inflammatory Enteropathy
Next Article in Special Issue
Gender-Related Factors in Medication Adherence for Metabolic and Cardiovascular Health
Previous Article in Journal
Determination of Polycyclic Aromatic Hydrocarbons (PAHs) and Phthalates in Human Placenta by Mixed Hexane/Ether Extraction and Gas Chromatography–Mass Spectrometry/Mass Spectrometry (GC-MS/MS)
Previous Article in Special Issue
Effects of Heat-Moisture-Treated High-Amylose Rice Flour on Body Weight, Lipid Metabolism, and Gut Microbiome Composition in Obese Rats
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Role of Organokines in Obesity and Type 2 Diabetes and Their Functions as Molecular Transducers of Nutrition and Exercise

Department of Biochemistry and Molecular Biology, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), 6431 Fannin St., Houston, TX 77030, USA
*
Authors to whom correspondence should be addressed.
Metabolites 2023, 13(9), 979; https://doi.org/10.3390/metabo13090979
Submission received: 28 July 2023 / Revised: 22 August 2023 / Accepted: 24 August 2023 / Published: 29 August 2023
(This article belongs to the Special Issue Lipid Metabolism in Obesity and Diabetes 2023)

Abstract

:
Maintaining systemic homeostasis requires the coordination of different organs and tissues in the body. Our bodies rely on complex inter-organ communications to adapt to perturbations or changes in metabolic homeostasis. Consequently, the liver, muscle, and adipose tissues produce and secrete specific organokines such as hepatokines, myokines, and adipokines in response to nutritional and environmental stimuli. Emerging evidence suggests that dysregulation of the interplay of organokines between organs is associated with the pathophysiology of obesity and type 2 diabetes (T2D). Strategies aimed at remodeling organokines may be effective therapeutic interventions. Diet modification and exercise have been established as the first-line therapeutic intervention to prevent or treat metabolic diseases. This review summarizes the current knowledge on organokines secreted by the liver, muscle, and adipose tissues in obesity and T2D. Additionally, we highlighted the effects of diet/nutrition and exercise on the remodeling of organokines in obesity and T2D. Specifically, we investigated the ameliorative effects of caloric restriction, selective nutrients including ω3 PUFAs, selenium, vitamins, and metabolites of vitamins, and acute/chronic exercise on the dysregulation of organokines in obesity and T2D. Finally, this study dissected the underlying molecular mechanisms by which nutrition and exercise regulate the expression and secretion of organokines in specific tissues.

Graphical Abstract

1. Introduction

Over the past few decades, the rates of obesity and type 2 diabetes (T2D) have increased worldwide [1]. It is well-known that obesity is an established contributor to T2D, as well as a core component of metabolic syndrome [2,3]. Sedentary lifestyle and the consumption of high-calorie diets are associated with increased risks of obesity and metabolic syndrome, ultimately leading to T2D [1,4,5,6]. At the same time, the level of sedentariness and diet quality are affected by various factors, including stress [7,8]. In this regard, numerous studies have shown that elevated psychological distress is associated with physical inactivity and a high consumption of unhealthy foods, such as foods with a high glycemic index, ultra-processed foods, and snack-type foods, as well as a low consumption of meat, fish, fruits, and vegetables [8,9]. These lifestyle risk factors heavily increase the risks of obesity, metabolic syndrome, and T2D [1,4,5,6]. Therefore, lifestyle modifications have emerged as an appealing approach to treating obesity and T2D.
To maintain energy homeostasis, a complex and delicate network between organs has evolved in higher organisms. Carbohydrates and lipids are the two critical macromolecules that are key components of intracellular storage products for energy production [10]. The metabolism of these macromolecules is interwoven in insulin-sensitive organs, including the liver, muscle, and adipose tissues [10]. Insulin resistance, fat accumulation, and inflammation in these tissues characterize metabolic diseases, such as T2D and obesity. Recently, obesity and T2D have been considered multifactorial and complex metabolic diseases resulting from alterations in the metabolic interorgan crosstalk [11,12]. Interorgan crosstalk can be defined as the broad effects of secreted factors from tissues that may trigger physiological responses in other tissues, affecting homeostasis or the development of diseases [11,13]. Interorgan crosstalk is known to be governed by hormones and metabolites. Nevertheless, recent evidence suggests that organokines are crucial factors in interorgan crosstalk [14,15,16]. Organokines (including myokines, adipokines, and hepatokines) are proteins prominently secreted from specific organs and have been known to have endocrine or paracrine actions [17].
The liver is the major insulin-sensitive organ, which is crucial in regulating energy metabolism, including lipid and glucose metabolisms. In T2D and obesity conditions where insulin resistance is manifested, impaired insulin activity increases endogenous hepatic glucose production and decreases glucose uptake, thereby leading to glycotoxicity in organs such as adipose tissues and muscle [18,19]. Recent evidence indicated that hepatokines affect fat and muscle metabolic phenotypes in an endocrine-dependent manner, and muscle and fat metabolic phenotypes in an endocrine-dependent manner [20]. Furthermore, hyperglycemia in patients with T2D markedly increased de novo hepatic lipogenesis, leading to hepatic insulin resistance, hepatic inflammation, non-alcoholic fatty liver disease (NAFLD), and severe liver diseases such as cirrhosis and hepatocellular carcinoma [21]. Among metabolic disorders, T2D and NAFLD are multi-system diseases that impair the ability of peripheral tissues to communicate to regulate lipid homeostasis and excessive cytokine release from the liver, adipose tissues, and the skeletal muscle [22,23].
Skeletal muscle is one of the largest organs in humans without obesity, comprising approximately 30–40% of the body weight in lean men and women. Skeletal muscle cells have been regarded as secretory cells [24] as they can produce and secrete myokines into circulation, exerting endocrine effects on other organs such as the liver and adipose tissues. As most myokine production is intimately related to muscle contraction, physical inactivity/activity can remodel the myokine profile and its responses [24]. Cytokines, including myokines, which are produced in response to acute or chronic exercise, are often referred to as exerkines [25]. Exerkines are secreted in many forms, including hormones, metabolites, proteins, and nucleic acids, by muscle and other metabolically active tissues [25]. Mounting evidence suggests that exerkines are beneficial in improving systemic metabolic health such as T2D, obesity, and cardiovascular disease [25].
Adipose tissue was considered a storage organ but has now been recognized as an endocrine organ [26]. Excess adiposity and adipose tissue dysfunction are associated with various metabolic diseases such as T2D, obesity, and atherosclerosis [27]. White adipose tissue (WAT) is an insulin-sensitive organ that secretes adipokines that modulate energy balance levels in other organs [28]. The main WAT includes subcutaneous and visceral adipose tissue, which have specific expression patterns of adipokines. For example, visceral WAT is related to the pathophysiology of obesity, dyslipidemia, and insulin resistance, while subcutaneous adipose tissue is related to insulin sensitivity [29,30,31].
Exercise, which is regarded as physical activity, includes resistance training, aerobic training, or high-intensity training [32]. It is a well-established notion that exercise is a critical intervention for decreasing the incidence and prevalence of multiple diseases [25]. Exercise promotes myokine secretion from the muscle tissues and broadly affects the liver, WAT, and heart [25]. These organokines, which are produced in response to exercise, are increasingly recognized as targets for treating metabolic diseases. Moreover, the production of organokines, including hepatokines, myokines, and adipokines, is also prominently affected by the diet (macro- and micronutrients). Therefore, understanding the molecular mechanisms by which exercise and diet affect organokines in the body is crucial in improving disease pathophysiology.
This review introduces the importance of organokines, including hepatokines, myokines, and adipokines, in the pathophysiology of metabolic diseases, specifically focusing on obesity and T2D. Furthermore, the current review also suggests that exercise and nutrients/diets can be beneficial strategies in remodeling organokines and alleviating the pathophysiology of obesity and T2D.

2. Hepatokines

2.1. α2-HS-Glycoprotein (Fetuin-A)

Fetuin-A is a circulating glycoprotein that is abundantly synthesized and secreted from the adipose tissue and the liver [33]. It is a multifaceted molecule functioning in various molecular pathways, including insulin resistance, inflammation, and calcium and bone metabolism [34]. Accumulating epidemiologic evidence suggests that elevated Fetuin-A is associated with obesity [35] and T2D [36]. Reportedly, hyperenergetic, high-fat diet consumption leads to Fetuin-A mRNA synthesis in rats [37] and elevated Fetuin-A in healthy men [38]. Furthermore, palmitate treatment stimulates nuclear factor- κB binding to the promoter region of Fetuin-A [39]. Fetuin-A is a critical inhibitor of insulin receptor tyrosine kinase autophosphorylation, which impairs insulin signaling [40,41]. Many studies observed a positive association between serum Fetuin-A and insulin resistance, risk of T2D, and impaired glucose tolerance [36,42,43]. In mice, the deletion of fetuin led to enhanced insulin sensitivity and glucose clearance with insulin-stimulated phosphorylation of insulin receptor kinase and downstream signaling pathways such as MAPK and Akt in skeletal muscle and liver tissues [44]. Apart from its impact on insulin receptor kinase, Fetuin-A is known to propagate a pro-inflammatory state, promoting insulin resistance. In both monocytes and adipocytes, Fetuin-A treatment significantly increased the expression of pro-inflammatory cytokines with a significant reduction in adiponectin expression [39,45]. Moreover, Fetuin-A is an endogenous ligand that directly binds to toll-like receptor (TLR) 4 and promotes the TLR4-mediated inflammatory signaling pathway [46]. These results suggest that targeting Fetuin-A is a potential therapeutic strategy for treating insulin resistance and T2D.

2.2. Fibroblast Growth Factor 21 (FGF21)

FGF21, predominantly expressed and synthesized in the liver, is suggested as a stress-responsive metabolic regulator [47]. Triglyceride (TG) has been suggested to be a key driver of FGF21 expression in the liver [48]. In humans, plasma levels of FGF21 are known to be increased with insulin resistance in the liver and muscles [49]. Similarly, patients with T2D exhibited an increased level of FGF21 [50], which may be due to the compensatory response for insulin deficiency. Endogenous FGF21 is induced in obese mice and humans in response to elevated cellular stress. Despite high levels of FGF21 in metabolic disease states in the body, exogenous FGF21 administration has been demonstrated to be beneficial in correcting dysregulated metabolism [51]. Intensive research uncovered that systemic administration of high doses of FGF21 strongly prevents or treats metabolic diseases [52,53,54,55]. Similar studies utilizing transgenic mice overexpressing FGF21 mice or FGF21 analog-treated mice showed improvements in multiple metabolic parameters, such as body weight gain, blood glucose, circulating inflammatory cytokines, and adipokines [52,56].
Furthermore, long-term production of FGF21 via administration of AAV8-pAAT-FGF21 targeting the liver reversed the hallmarks of obesity and T2D in high-fat diet-fed mice [50]. A recent clinical trial showed that FGF21 analog treatment for 12 weeks significantly improved lipid profiles with increased adiponectin levels in patients with obesity and T2D [57]. FGF21 improves obesity and insulin resistance by regulating several molecular mechanisms. FGF21 activates the AMPK signaling pathway, suppressing de novo lipogenesis and enhancing fatty acid oxidation, thereby inhibiting TG accumulation in adipose tissues [58]. FGF21 increases browning of WAT by up-regulating uncoupling protein 1 (UCP1) and promotes TG turnover [59]. Notably, FGF21 accelerates TG-derived free fatty acid uptake by tissues by up-regulating low-density lipoprotein receptor (LDLR) expression [60]. There are several known downstream targets of FGF21, such as AMPK and SIRT1 [58]. However, future studies are required to elucidate the downstream targets of FGF21, which possesses the potential of therapeutic targets to treat obesity and T2D.

2.3. Leukocyte Cell-Derived Chemotaxin 2 (LECT2)

Leukocyte cell-derived chemotaxin 2 (LECT2) is a recently discovered hepatokine that plays crucial roles in various diseases, such as obesity [61], T2D [62], liver fibrosis [63], and hepatocellular carcinoma [64]. Studies have reported that hepatic and serum levels of LECT2 are known to be strongly associated with BMI and liver fat in humans [62] and mice [65]. A recent mechanistic study showed that LECT2 treatment markedly suppressed insulin signaling by decreasing the levels of insulin receptor substrate (IRS) and p-Akt in differentiated 3T3-L1 cells [66]. Moreover, LECT2 treatment led to a significant increase in lipid accumulation and inflammation markers, such as NF-κB in 3T3-L1 cells [66]. LECT2 also targets skeletal muscle and causes insulin resistance by activating the c-Jun N-terminal kinase (JNK) pathway in obesity [62]. Conversely, LECT2 knockout mice are strongly protected from developing obesity and liver inflammation following high-fat diet feeding [61]. Additionally, LECT2 knockout mice exhibited a significantly higher level of muscle endurance compared with that in control mice [62]. These studies suggest that LECT2 can be a molecular target to enhance insulin signaling in multiple tissues, such as WAT and muscles.

2.4. Selenoprotein P

Selenoprotein P (SeP) is a widely present extracellular glycoprotein [67,68], and its levels are found to be increased in individuals with conditions, such as NAFLD, T2D, and visceral obesity [69,70]. The liver is the primary site of SeP production, and it is subsequently released into the bloodstream. Studies involving patients with T2D have shown that hepatic SeP expression is associated with insulin resistance [71]. Moreover, when SeP was administered to mice, it hindered insulin signaling and inhibited AMPK activation in the liver. Conversely, depleting SeP in mice resulted in improved insulin sensitivity and glucose tolerance [72].

3. Myokines

3.1. IL-6

Interleukin-6 (IL-6), which is secreted into the bloodstream during muscle contractions, was the first myokine discovered [73]. It is primarily produced by skeletal muscle and its release into the blood increases significantly during exercise, reaching levels up to 100-fold higher than that at rest [74]. Interestingly, IL-6 exerts varying and diverse effects in the body. It promotes myogenic differentiation within skeletal muscle itself and increases glucose uptake by facilitating the translocation of glucose transporter type 4 (GLUT4), a glucose transporter [75,76]. IL-6 also activates 5′ AMP-activated protein kinase (AMPK), an enzyme involved in energy metabolism, leading to increased fatty acid oxidation in both skeletal muscle and adipose tissue [77,78,79]. Of note, IL-6 secretion influences hepatic glucose production, specifically in the regulation of gluconeogenesis, by inducing the expression of PCK1 [80]. In addition, IL-6 secretion is inversely related to plasma glucose levels, suggesting its role in inducing glycogenolysis in the liver under conditions such as overnight fasting when circulating glucose is limited [80]. The effect of IL-6 on glucose production depends on the metabolic state. Notably, mice lacking IL-6 exhibit obesity and glucose intolerance, indicating the beneficial role of muscle-derived IL-6 in metabolic regulation [81].
Another important aspect is the muscle–liver crosstalk, where the exercise-induced expression of CXCL1 is dependent on IL-6 secretion from skeletal muscles [80]. IL-6 plays a crucial role in liver homeostasis. However, its secretion by activated Küpffer cells in the liver is mostly associated with the acute phase of infection [82]. Some studies have shown that IL-6 can impair insulin signaling and disrupt glucose homeostasis through signaling pathways such as JNK1, STAT3, and SOCS3 [83,84,85]. In addition to its metabolic effects, IL-6 also functions as an anti-inflammatory factor by inhibiting the production of tumor necrosis factor (TNF) [81,86,87]. Conversely, in the absence of IL-6, the levels of TNF are elevated. These findings suggest that muscle-derived IL-6 plays a beneficial role in the regulation of metabolic disorders, affecting glucose production during exercise [88]. Moreover, IL-6 induces the production of another cytokine, CXCL-1, which is involved in hepatic regulation during exercise [89]. These findings have suggested a bimodal and pleiotropic role for IL-6 in liver homeostasis, indicating the need for further research using different approaches, such as cell-specific depletion or varying doses of recombinant proteins, to better understand the precise role of IL-6 signaling in the liver, particularly as a myokine.

3.2. Irisin

Irisin is a myokine that acts as a transcriptional co-activator of PGC1α, a master regulator of muscle energy metabolism that is involved in mitochondrial biogenesis, glucose uptake, and fiber-type switching [90,91,92]. The levels of circulating irisin levels have been positively associated with muscle mass, and negatively associated with fat mass, indicating the role of irisin in exercise-induced metabolic adaptation [90]. Following the cleavage of FNDC5, irisin is released from the muscle and circulates in the bloodstream, where it targets white adipocytes in WAT, inducing their transformation into beige cells, and hence leading to increased energy expenditure and potential weight loss [90,93]. The adipose tissue has been recently identified as a source of irisin secretion, with individuals with obesity tending to have higher levels of circulating irisin [94,95,96]. Furthermore, the levels of circulating irisin in humans have been positively correlated with adiposity parameters and insulin resistance markers [96]. Irisin reduces insulin resistance by inhibiting gluconeogenesis and promoting glycogenesis via the PI3K/AKT/FOXO1 pathway in hepatocytes [97]. In conclusion, irisin has multifaceted effects on liver metabolism, including reducing insulin resistance, lipogenesis, and oxidative stress, while promoting glycogenesis and fatty acid oxidation. However, its impact on humans and its role in various metabolic conditions require further investigation to clarify its therapeutic potential and clinical application.

3.3. FGF21

FGF21 is a myokine produced by skeletal muscles that exerts various metabolic functions, particularly in the liver [98,99,100]. It enhances glucose uptake and increases the expression of GLUT1 in skeletal muscle [101]. Activation of the phosphoinositide 3-kinase/protein kinase B (PI3K/AKT1) signaling pathway, which is linked to muscle hypertrophy, leads to increased muscle mass, reduced fat mass, and improved overall energy metabolism. Insulin infusion and exercise have been shown to increase the expression and secretion of muscular FGF21 [98,99]. Additionally, the induced expression of FGF21 in muscles has been associated with increased lipolysis, decreased blood glucose levels, enhanced fatty acid oxidation, and WAT browning [102]. Another piece of evidence reinforcing the idea that FGF21 is a myokine was shown to be the increased expression of FGF21 in mice with skeletal muscle-specific overexpression of UCP1 [103]. These findings supported the role of FGF21 as a myokine, which has potential therapeutic implications in T2D and obesity.

3.4. IL-15

IL-15, which is a member of the IL-2 superfamily, is putative myokine produced by skeletal muscles, exhibiting anabolic effects in this tissue [104]. Its levels increase in both muscles and serum after strength training [105,106,107,108]. IL-15 is involved in skeletal muscle growth and has been closely associated with obesity and T2D [109,110]. It enhances glucose uptake in skeletal muscle by increasing the transcription and membrane translocation of GLUT4 through JAK3/STAT3 signaling [111,112]. IL-15 also enhances the activity of PPARδ and PGC-1α, promoting mitochondrial biogenesis and fatty acid oxidation (FAO) in skeletal muscle [113,114,115]. In addition, it has been shown to decrease lipid deposition in preadipocytes and overall WAT mass [104]. Although its presence in the plasma has not been observed, IL-15 might act as a myokine, regulating WAT homeostasis [116,117]. This hypothesis is supported by studies showing an inverse correlation between IL-15, adipose tissue mass, and abdominal adiposity in humans [117]. Overexpression of IL-15 in mouse muscles was reported to reduce visceral fat mass without affecting subcutaneous fat mass [117]. Elevated plasma levels of IL-15 significantly decreased body fat mass without affecting lean body mass or other cytokine levels in mice [117]. These findings indicated that muscle-secreted IL-15 reduces visceral fat mass through the endocrine system, highlighting the role of the muscle–fat crosstalk.

3.5. FSTL

Follistatin (FSTL) is a member of the TGF-β superfamily that serves as a natural inhibitor of myostatin in skeletal muscles [118]. In a mouse model, swimming exercise significantly increased the levels of follistatin in both the plasma and liver tissue. Elevated levels of circulating follistatin were reported to play a role in regulating myostatin levels in skeletal muscles [119]. FSTL-1 is one of the secreted glycoproteins belonging to the follistatin family [120]. Myogenic AKT, a key factor in blood vessel growth and muscle growth, plays a significant role in regulating FSTL-1 [121]. Overexpression of AKT, specifically in the muscle, was shown to lead to increased intramuscular and circulating serum levels of FSTL-1 in both intramuscular and circulating serum. Elevated FSTL-1 levels enhanced endothelial function and revascularization by activating the AKT-eNOS signaling pathway. In human primary skeletal muscle cells, the expression and secretion of FSTL-1 were found to be increased in a differentiation-dependent manner [120]. Furthermore, exercise has been shown to increase the circulating levels of FSTL-1, with the secretion of FSTL-1 being stimulated by IFNγ and IL-1β [120].

4. Adipokines

4.1. Leptin

Leptin is a well-known adipokine primarily secreted by adipocytes into the bloodstream. The levels of leptin in the body have been directly associated with fat mass [122]. In individuals with obesity, the levels of leptin positively correlate with adipose tissue mass, suggesting leptin as a marker of obesity [123]. For instance, Ob/ob mice exhibit characteristics such as increased food intake, decreased energy expenditure, dyslipidemia, obesity, and insulin resistance [124,125]. Leptin also promotes inflammation by enhancing the production of inflammatory cytokines, such as TNF and IL-6 by monocytes, stimulating the generation of reactive oxygen species (ROS), and inducing cell proliferation and migration in monocytes [123,126,127]. In macrophages, leptin activates the JAK2/STAT3 signaling pathway, leading to the production of CC-chemokine ligands [128]. Chronic inflammation and elevated TNFα levels in individuals with obesity and leptin resistance contribute to hyperleptinemia [129,130].

4.2. Adiponectin

Adiponectin is a hormone secreted by mature adipocytes that is inversely correlated with fat mass [131]. Unlike leptin, higher levels of adiponectin have been associated with lower fat mass [131]. The plasma levels of adiponectin are found to be reduced in individuals with obesity, type II diabetes, and insulin resistance, exhibiting an inverse correlation between the levels of adiponectin and BMI [132,133,134]. Adiponectin signaling is involved in increasing insulin sensitivity and has various beneficial effects on metabolism, including reducing adiposity, inflammation, and atherosclerosis [135,136,137]. It affects different target organs, such as the liver, where it decreases gluconeogenesis and insulin resistance [138,139]; skeletal muscle, where it enhances fatty acid oxidation, glucose uptake, and mitochondrial biogenesis [140,141]; and the brain, where it stimulates energy expenditure [136]. Adiponectin also plays a role in enhancing glucose uptake and fatty acid oxidation in skeletal muscle and suppressing glucose production in the liver through the activation of AMPK [141,142]. Moreover, adiponectin stimulates insulin secretion, whereas its deficiency leads to dysfunction of pancreatic β-cells [143]. The expression of adiponectin by adipocytes is decreased in individuals with obesity, while it is also inhibited by pro-inflammatory cytokines, such as TNF and IL-6, as well as conditions such as hypoxia and oxidative stress [144,145,146].

4.3. TNFα

Tumor necrosis factor-α (TNFα) is an inflammatory cytokine predominantly produced by monocytes and macrophages. In individuals with obesity, the macrophage-infiltrated visceral fat becomes a major source of TNFα production [147,148]. Increased expression of TNFα has been observed in the adipose tissue of humans and mouse models of obesity and T2D [149,150]. In ob/ob mice, deletion of TNFα or obesogenic diet leads to a reduction in insulin resistance and improvement in insulin signaling in the WAT and muscles [150]. Furthermore, this cytokine has been associated with reduced insulin sensitivity and decreased levels of anti-inflammatory cytokines in visceral fat obesity [151,152]. Patients with diabetes often exhibit elevated levels of TNFα in their plasma and muscles [153,154,155]. TNFα negatively affects insulin signaling by attenuating the insulin-stimulated tyrosine phosphorylation of the insulin receptor and insulin receptor substrate 1 (IRS1) in the WAT and muscles, leading to insulin resistance [153,154,155,156]. Increased levels of TNFα can stimulate fatty acid uptake in the liver, contributing to fat accumulation and the production of ROS [157,158]. Moreover, TNFα promotes the incorporation of fatty acids into diacylglycerol (DAG), suggesting its role in inducing insulin resistance in skeletal muscle [156]. In summary, TNFα is an inflammatory cytokine produced by monocytes and macrophages, and it is involved in the development of insulin resistance by impairing insulin signaling in the WAT and muscles, with visceral fat obesity being a significant site of its production in individuals with obesity. TNFα also influences hepatic fatty acid uptake, leading to fat accumulation and the production of ROS in the liver. Interestingly, its effects on insulin resistance extend to skeletal muscles.

4.4. IL-6

Interleukin-6 (IL-6) exhibits both pro-inflammatory effects as an adipokine and anti-inflammatory effects as a myokine [126,159,160]. The dual functions of IL-6 in different organs can be attributed to different inducers and signaling pathways that stimulate its expression. As a myokine, IL-6 is primarily secreted by skeletal muscles in response to exercise. Muscle-derived IL-6 regulates glucose and lipid metabolism by enhancing the insulin signaling pathway [159]. Conversely, elevated levels of circulating IL-6 have been observed in individuals with T2D, obesity, and insulin resistance [161,162]. As an adipokine, IL-6 has been positively correlated with BMI, with approximately one-third of circulating IL-6 originating from the adipose tissue. Notably, visceral adipose tissue is a significant source of IL-6 in relation to obesity [163,164,165]. In the adipose tissue, IL-6 expression is predominantly produced by macrophages, with its expression being induced by the activation of the NF-κB signaling pathway [163]. Furthermore, IL-6 hampers insulin signaling and reduces insulin-dependent glucose uptake by inhibiting the expression of GLUT4 and IRS1 in adipocytes [166,167]. In summary, IL-6 exerts distinct roles as an adipokine and myokine. Its myokine activity contributes to metabolic improvements, whereas its adipokine activity, particularly in the visceral adipose tissue, is associated with insulin resistance and metabolic disorders. However, further investigations are required to elucidate the underlying mechanisms and potential therapeutic implications of IL-6.

4.5. RBP4

Retinol binding protein 4 (RBP4) is primariily secreted by hepatocytes and functions as a carrier for transporting retinol from the liver to peripheral tissues [168]. However, it has also been identified as an adipokine secreted by adipocytes and macrophages [169,170].The levels of circulating serum RBP4 are elevated under insulin-resistant conditions. Visceral adipose tissue is a major source of increased levels of serum RBP4, which have been associated with a higher BMI [171,172]. Moreover, elevated levels of serum RBP4 have been linked to adverse health effects including increased blood pressure and plasma levels of cholesterol and triglycerides [171,173]. Consequently, RBP4 is considered as a marker of intra-abdominal fat accumulation and inflammation associated with obesity. Adipocyte-derived RBP4 acts in an autocrine or paracrine manner to inhibit the insulin-induced phosphorylation of IRS1 [170,174]. Studies showed that adipocyte-specific Glut4 knockout mice exhibited increased expression levels of RBP4 in the WAT, contributing to glucose intolerance and insulin resistance [170,171].

5. Organokines and Dietary Interventions

5.1. Caloric Restriction

Caloric restriction (CR) is defined as reducing calorie intake below energy demands without eliminating of essential nutrients [175,176,177]. CR has emerged as a popular approach to treating T2D and obesity. Extensive studies have reported the effectiveness of CR in regulating organokines (hepatokines, myokines, and adipokines), thereby ameliorating the pathophysiology of obesity and T2D. In patients with T2D, CR intervention for 12 weeks significantly down-regulated circulating fetuin-A concentrations, resulting in improved blood pressure, plasma glucose, visceral fat, and lipid profiles [178]. FGF21 is a fasting-induced hepatokine that is gaining attention as a metabolic regulator [52]. A methionine-restricted diet was shown to increase hepatic FGF21 [179]. In addition, in a preclinical study, Fgf21-/- mice exhibited increased high-fat (HF) diet-induced inflammation in the WAT and the liver compared with that in wild-type (WT) mice, while a methionine-restricted diet reduced inflammation in an FGF21-dependent manner [180]. This suggests that the methionine-restricted diet restored endogenous FGF21 and protected against HF diet-induced inflammation in the WAT and liver. Likewise, it was demonstrated that a leucine-deprived diet markedly reduced body weight and induced browning in WAT by increasing hepatic FGF21 gene expression in mice [181]. Despite these beneficial effects of methionine and leucine-restricted diets, prolonging one essential amino acid-deficient diet can jeopardize the animal’s health [182,183]. Methionine has been reported to be crucial for normal metabolic processes [184] and immunity, such as T-cell activation and differentiation [185,186]. Recent studies showed that methionine restriction aggravated tumor progression by repressing T-cell activation [187] and impaired the protein synthesis of translation-initiation machinery and antioxidant enzymes in mice [188]. Furthermore, long-term leucine deprivation led to dramatic weight loss, dysregulation of energy homeostasis, and increased prenatal and neonatal mortalities in mice [182,183]. These studies suggest the importance of seeking the optimal amount of dietary amino acids and an experimental period that can faithfully reproduce the beneficial metabolic effects of methionine and leucine-restricted diets. It is also necessary to consider other factors, such as disease state, to drive the therapeutic benefits of methionine and leucine-restricted diets.
Moreover, information from nutritional studies has indicated that CR can improve organokines in relation to inflammation. Other studies showed that circulating levels of amyloid A protein, interferon-gamma (IFN-γ), interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α), and C-reactive protein (CRP) were prominently reduced in patients with obesity by CR [189,190]. Notably, a randomized controlled trial of CR showed that CR significantly enhanced T-cell proliferation (TP) and prostaglandin E2 production [191] while reducing serum CRP levels [192] compared with the levels before CR. These results indicate that CR potentially affects pro-inflammation marker reduction and enhances innate immunity. There are several underlying molecular mechanisms by which CR reduces the inflammatory response. First, CR increases adiponectin, which may affect down-regulates phosphatidylinositol 3-kinase (PI3K)/NF-κB pathways and inhibit the NLRP3 inflammasome [193,194,195]. A CR-mediated increase in adiponectin can also inhibit macrophage differentiation and induce macrophage polarization from the M1 to M2 state [196,197,198]. Moreover, CR increases circulating ketone bodies such as β-hydroxybutyrate (BHB), which is known to block NLRP3 inflammasome-mediated inflammatory responses [199,200].
These studies show that CR, including amino acid restriction, is an appealing approach for combating obesity and T2D. However, there are some limitations. The findings from preclinical studies may be less applicable to humans. For example, the methionine-restricted diets used in preclinical studies included 0.17% methionine. Animal studies showed high adherence to this diet, while clinical studies showed high withdrawal rates due to poor palatability [201]. This review considered the positive effects of CR on improving metabolic profiles. However, several studies produced conflicting results that CR negatively impacts bone health, wound healing, and immune responses [202]. Future studies are warranted to investigate the effects of caloric restriction and various feeding regimens on obesity and T2D.

5.2. Dietary Fiber

Dietary fiber consists of highly complex substances such as nondigestible carbohydrates and lignin that cannot be digested in the upper gut [203]. For example, whole-grain, vegetables, legumes, and fruits contain different types of dietary fiber [203]. Accumulating evidence showed that dietary fiber consumption is associated with a low risk of obesity and T2D [203,204]. The fermentation of dietary fiber by the gut microbiome produces high amounts of microbial metabolites, including short-chain fatty acids (SCFAs), succinate, lactate, and branched-chain fatty acids (BCFAs) [205,206]. Several studies demonstrated a link between SCFAs intake and improvements in metabolic phenotypes [207,208]. In subjects with obesity, consumption of vinegar containing 1.5 g of SCFAs (acetic acid), led to a significant decrease in BMI, body weight, waist circumference, and serum triglycerides, demonstrating the role of SCFAs in body weight control [207]. Another intervention study showed that inulin propionate ester intake over 24 weeks significantly decreased weight gain and prevented deterioration in insulin sensitivity in adults who were overweight [208]. Notably, SCFAs have been reported to stimulate the adipose-tissue-derived satiety hormone leptin in mice [209] and humans [210]. The obesity insulin-resistant state is intimately related to chronic inflammation in adipose tissue. Treatment with butyrate, one of the SCFAs, markedly inhibited secretion of pro-inflammatory cytokines, such as IL-6, TNF-α, and MCP-1 in the co-incubation of murine 3T3-L1 adipocytes and RAW264.7 macrophages [211]. Furthermore, propionate treatment of adipose tissue explants obtained from patients who were overweight significantly downregulated inflammatory cytokines such as CCL5 and TNF-α [212]. These results indicate the beneficial role of SCFAs, obtained by fiber intake in preventing obesity and T2D.

5.3. ω3 Polyunsaturated Fatty Acids (PUFAs)

A diet enriched in ω3 polyunsaturated fatty acids (PUFAs) is known to exert beneficial effects on metabolic health in humans. Studies in rodents revealed that ω3 PUFAs contributed to obesity phenotype improvements, including WAT inflammation, insulin sensitivity, glucose tolerance, and colonic inflammation, by targeting gut microbiota [213,214]. Moreover, ω3 PUFA supplementation reportedly improves dyslipidemia and hyperglycaemia [215]. Recent evidence suggests that PUFAs supplementation targets adipose tissues; PUFAs enhanced brown adipose tissue recruitment and WAT browning by increasing uncoupling protein-1 levels and mitochondrial oxidative capacity [216,217,218,219]. Notably, ω3 PUFAs are known to affect several organokines. A recent study showed that ω3 PUFA supplementation (1250 mg thrice/day) markedly increased serum irisin levels in patients with T2D [220]. ω3 PUFA supplementation also led to a reduction in FBS and HbA1C in these patients [220]. In mice, ω3 PUFAs markedly increased FGF21 secretion from brown or beige adipocytes, thereby inducing brown and beige differentiation via GFP120 activation [221]. ω3 PUFAs strongly inhibit inflammatory cytokine secretion in the adipose tissue. In addition, treatment with ω3 PUFAs (DHA and EPA) effectively inhibited inflammatory signaling pathways and improved insulin sensitivity, potentially through GPR120, in obese mice [222].

5.4. Selenium

Selenium is an essential micronutrient for human health [223] and is a crucial constituent in selenoproteins, which have diverse biological functions, including anti-inflammation and antioxidation [223]. Selenoproteins P plays an important role in regulating T2D. A study utilizing selenoprotein P-neutralizing antibodies demonstrated that glucose metabolism is significantly improved in high-energy diet-induced mice [224]. However, low or high selenium supplementation increases insulin resistance by up- or down-regulating selenoproteins in our body, suggesting that moderate intake of selenium is crucial [223,225]. Furthermore, selenium supplementation dramatically improved plasma levels of IGF-1, FGF-21, adiponectin, and leptin levels, protecting against diet-induced obesity in mice [226].

5.5. Vitamins

5.5.1. Vitamin D

Vitamin D insufficiency results from inadequate vitamin D intake, high vitamin D catabolism, inadequate exposure to sunlight, and inefficient production in the skin [227]. Vitamin D insufficiency plays a significant role in the pathogenesis of a wide range of metabolic diseases such as T2D and obesity [228,229]. Specifically, vitamin D has been demonstrated to enhance insulin release and decrease insulin resistance in T2D [230]. Vitamin D supplementation has been shown to increase muscle irisin levels and FDNC5 gene expression with increasing serum vitamin D levels in the streptozotocin-diabetic rats [231]. In addition, a recent clinical study showed that 6 months of vitamin D supplementation increased serum irisin levels [232]. The anti-inflammatory effects of vitamin D in various diseases are well-reported [233,234,235,236,237]. For example, 1,25(OH)2D3 markedly inhibits IL-6, leptin, and nuclear factor-κB in human adipocytes [238]. Furthermore, 25-hydroxyvitamin D3 [(25(OH)D3)], but not vitamin D3, effectively suppressed adipokine expression in human adipose tissues [238]. Notably, vitamin D receptor (VDR) deletion from human adipose tissue up-regulated inflammatory signaling activity, suggesting that the anti-inflammatory effects of vitamin D on adipose tissues are mediated by VDR [238]. These results suggest that vitamin D supplementation may improve obesity-associated metabolic complications by inhibiting inflammation in the adipose tissues.

5.5.2. Vitamin A

Retinoic acid, the carboxylic acid form of vitamin A (retinol), has beneficial effects on energy metabolism [239,240]. All-trans retinoic acid (ATRA) is known to modulate gene expressions via retinoid X receptors (RXRs) and the retinoic acid receptors (RARs). Several studies reported that ATRA supplementation reduced leptin expression in the adipose tissues [241], and inhibited body weight gain and adiposity [242]. ATRA regulates the secretion of signaling proteins from adipose tissues, such as leptin and retinol-binding protein 4 (RBP4), to maintain energy balance and insulin sensitivity [243,244,245,246]. Furthermore, ATRA treatment of C2C12 myoblasts increases irisin secretion in a dose-dependent manner [247]. β-Carotene, known as a provitamin A carotenoid, inhibits oxidative stress-mediated inflammation by increasing the secretion of adiponectin in 3T3-L1 preadipocytes, highlighting its role in remodeling of oxidative stress-mediated dysregulated adipokines [248]. Lycopene, a non-provitamin A carotenoid typically found in tomatoes and tomato products, suppresses pro-inflammatory markers in the WAT of rodents and humans [249]. Notably, apo-10′-lycopenoic acid, a metabolite of lycopene, possesses anti-inflammatory effects in WAT via RAR [250]. A recent study utilizing non-target metabolite analysis of tomato revealed that β-carotene and lycopene improved the adiponectin signaling pathway in C2C12 myotubes [251]. Carotenoids, including lycopene and β-carotene, are prominently stored in the WAT [252].This dominant carotenoid and lycopene accumulation in the adipose tissue, followed by diet intervention, can explain the strong anti-inflammatory effects of carotenoids in WAT.
In vitro studies have limitations because of the lack of an in vivo microenvironment and various factors that enable cell communication. For example, cultured myotubes exhibit lower insulin-stimulated glucose uptake compared with in vivo systems [253]. Future studies should consider multiple factors in testing a therapeutically beneficial diet/nutrition to prevent and treat obesity and T2D.

5.5.3. Vitamin B12 and Folate

Vitamin B12 and folate are crucial cofactors for transforming homocysteine to methionine [254,255]. Vitamin B12 deficiency is highly prevalent among patients with T2D [256]. Mounting evidence revealed that vitamin B12 and folate supplementation improved obesity and insulin sensitivity in T2D [257]. Vitamin B12 and folate deficiency can reportedly disrupt adipokine expression [258,259], possibly leading to an increased risk of obesity and cardiovascular diseases. An animal study showed that vitamin B12 and folic acid treatment increased adiponectin and decreased leptin concentration [260]. Furthermore, a recent study showed that early supplementation with vitamin B12 and folic acid improved leptin concentration and the leptin-adiponectin ratio, suggesting the possibility of increased insulin sensitivity [261].

6. Exercise

Physical exercise offers benefits beyond simply increasing energy expenditure, as it also has the ability to reshape overall energy metabolism in the body. The positive effects of engaging in physical activity are widely recognized when it comes to addressing metabolic disorders and their associated complications. These conditions include obesity, metabolic syndrome, cardiovascular diseases, and non-alcoholic fatty liver disease (NAFLD) [262,263]. A group of peptides and proteins released by muscles, collectively known as myokines, play a significant role in the health benefits associated with exercise. Recent investigations into muscle secretomes have unveiled that both aerobic exercise and strength training stimulate the release of numerous myokines [264]. Notably, it is crucial to recognize that the production of “beneficial” myokines is not only promoted by physical exercise but also suppressed by physical inactivity, emphasizing the importance of lifestyle choices in promoting a healthy lifespan [264,265,266]. The mechanisms underlying the impact of physical activity have been thoroughly studied, and recent research has further expanded our understanding [267]. In the context of physical exercise, skeletal muscle plays a crucial role in closely interacting with adipose tissue, pancreas, and liver. This interaction is essential for meeting the energy requirements of physical activity and facilitating favorable effects on overall energy metabolism throughout the body [268,269].

6.1. Acute Exercise

“Acute exercise” can be defined as a single instance of exercise, including endurance activities (aerobic exercise) and resistance activities (strength training or weightlifting) [270]. In a study involving insulin-resistant individuals, the impact of a single 45 min exercise session on de novo lipogenesis was examined in young, lean, insulin-resistant individuals [271]. Participants’ intrahepatic lipid content was measured before and after the session. Afterward, they were provided a high-carbohydrate liquid meal, and de novo lipogenesis rates were determined using deuterium-labeled water. The findings indicated that de novo lipogenesis activity was significantly lower in the exercise group compared with the resting group. This reduction in de novo lipogenesis prevented the increase in intrahepatic lipid content observed in the resting condition, suggesting that exercise positively influenced de novo lipogenesis rates following the meal. Although plasma glucose and insulin levels were similar between the exercise and resting conditions, acute exercise led to a threefold increase in postprandial muscle glycogen synthesis. By redirecting ingested carbohydrates away from the liver and toward skeletal muscle, exercise reduces hepatic de novo lipogenesis and the synthesis of triglycerides in the liver. This study provides compelling evidence supporting the notion that insulin resistance in muscles plays a role in the early development of atherogenic dyslipidemia and non-alcoholic fatty liver disease (NAFLD).
One of the well-studied hepatokines related to acute exercise effect is FGF21. Following acute endurance exercise, the serum concentration of FGF21 increases gradually [272,273,274,275]. Immediate or slight changes in FGF21 levels are typically observed immediately after exercise, with peak values occurring around one hour post-exercise [275]. Limited studies have investigated FGF21 levels beyond this time frame, but it appears that FGF21 concentration tends to return to normal relatively quickly during the resting period. A recent study demonstrated that the increase in plasma FGF21 levels induced by exercise was absent in T2D patients. This suggests that the production of FGF21 in response to acute exercise is altered in individuals with metabolic disturbances. Although T2D patients had higher baseline FGF21 levels compared with healthy individuals, it appears that hyperinsulinemia or hepatic insulin resistance hampers the exercise-induced secretion of FGF21 [276]. Previous research has also indicated that obese individuals with hyperinsulinemia have lower FGF21 secretion compared with healthy individuals. In summary, impaired exercise-induced FGF21 secretion may be associated with factors such as hyperinsulinemia or hepatic insulin resistance in individuals with metabolic disruptions [277].
Different studies related to hepatokines and acute exercise evaluated that following a single bout of exercise (at 60–70% of VO2 max, burning 500 kcal), obese individuals experienced an immediate rise in serum phosphofetuin-A (Ser312) levels, which returned to baseline within 24 h. Future studies need to take into account multiple factors to produce a therapeutically beneficial diet/nutrition for the prevention and treatment of obesity and T2D. Notably, glucose and insulin levels during an oral glucose tolerance test (OGTT) were significantly reduced 24 h after the exercise session [278]. This evidence suggests that the exercise-induced decrease in fetuin-A levels may contribute to the acute health benefits of exercise observed in this context [279].
For the myokines, research examining the relationship between exercise and follistatin (FST) consistently demonstrates an increase in FST levels following exercise. The majority of studies investigating this relationship focus on acute effects rather than long-term effects. Various types of exercise, including resistance [280,281,282], endurance [273,282,283], and high-intensity interval training (HIIT) [272,282], have been found to raise plasma/serum FST levels after an acute exercise session, with increases ranging from approximately 5% to 500%. The highest response has been observed in younger individuals performing exercise at higher intensities. However, factors such as protocol variations may limit the increase in FST levels in other studies. The concentration of FST typically peaks around 3–4 h after exercise and then gradually decreases, although in some studies, elevated concentrations have been observed for up to 72 h post-exercise [284].
While an increase in serum IL-15, another myokine, was not associated with enhanced muscle protein synthesis in some studies [285,286], other studies have reported an elevation of IL-15 following resistance exercise [272,287]. Acute resistance exercise has been found to stimulate the production of IL-15. The increase in IL-15 typically occurs within the first hour of recovery and is unaffected by the availability of carbohydrates or fat prior to exercise. However, there is some debate regarding the role of IL-15 in exercise-induced muscle hypertrophy [272]. The discrepancy in findings may be attributed to variations in the type and intensity of exercise, as well as the fitness level of the participants [288,289]. It has been observed that individuals with higher fitness levels, including resistance and endurance-trained athletes, tend to have higher baseline levels of IL-15 compared with untrained individuals [289]. Interestingly, an acute bout of high-intensity interval endurance training did not result in changes in IL-15 concentration in sedentary subjects [272].
In terms of lipid oxidation related to adiponectin, a single 1 h bout resistance exercise enhances postprandial lipid oxidation throughout the entire body in obese men with prediabetes [290]. Resistance exercise was found to enhance several metabolic processes in the body. These included increased whole-body lipid oxidation, enhanced skeletal muscle mitochondrial respiration, upregulated expression of oxidative genes in skeletal muscle, and an increase in the expression of important lipolysis genes in adipose tissue [290]. Furthermore, a single session of acute exercise, regardless of intensity, leads to a notable increase in plasma adiponectin levels in sedentary, abdominally obese men. Additionally, high-intensity exercise results in a significant reduction in plasma triglyceride levels in the same individuals, while low-intensity exercise does not produce this effect. Importantly, the elevated adiponectin levels persist for up to 72 h after completing three exercise sessions within one week, without any change in weight or body composition. These findings suggest that even a single session of aerobic exercise can lead to positive changes in adiponectin levels, highlighting another potential health benefit associated with exercise [291]. This upregulation of adiponectin expression may contribute to the observed reduction in insulin concentration and the elevation of whole-body lipid oxidation following resistance exercise [290,292].
The study presented valuable insights into the effects of acute exercise on organokines and metabolic responses, shedding light on their potential roles in health modulation. However, certain limitations warrant consideration. First, the study primarily focused on young, lean, and insulin-resistant individuals, potentially limiting the generalizability of the findings to broader population groups. Moreover, while the study identified associations between exercise, organokine secretion, and metabolic changes, causality could not be definitively established due to the observational nature of the research. Lastly, the intricate interplay of genetic factors, lifestyle, and other environmental elements that influence organokine responses was not extensively addressed, indicating the need for more comprehensive studies in more diverse populations and conditions.

6.2. Chronic Exercise

“Chronic exercise”, often called endurance training or aerobic exercise, involves engaging in regular and repeated sessions of physical activity sessions over an extended period [270]. This type of exercise is characterized by moderate-intensity activities performed consistently to improve cardiovascular fitness, increase endurance, and support overall health [293,294]. Chronic exercise includes activities such as running, cycling, swimming, brisk walking, and participating in aerobic classes [295].
Chronic exercise training is likely associated with a decrease in circulating irisin, considering the following possibilities. Irisin has been found to be released not only from muscles but also from adipose tissue, making it an adipokine as well as a myokine [296,297]. Studies have shown that circulating irisin levels were accompanied by concurrent weight and fat loss following surgery and chronic exercise [298,299,300]. These studies indicate that long-term exercise training potentiates irisin reduction by weight and fat loss. Furthermore, cross-sectional studies have demonstrated that higher circulating irisin levels are positively associated with insulin resistance and fasting blood glucose in non-diabetic individuals, indicating a potential role of irisin in the regulation of glucose homeostasis [301,302]. It is hypothesized that irisin is released in greater amounts by adipose and muscle tissues as a compensatory response to overcome irisin resistance and counteract impaired insulin function [301,303]. Given that chronic exercise training improves insulin resistance, it is logical to assume that circulating irisin levels would diminish as a consequence of exercise training. These findings may be explained by the reduction in metabolic stress and inflammation that occurs as a result of exercise-induced fat loss, rather than solely being attributed to the exercise itself. Additionally, some studies included in the analysis did not measure irisin levels immediately after exercise sessions, which would be helpful in future research, considering its proposed short lifespan in the bloodstream [304].
The impact of chronic exercise on circulating levels of FGF21 in individuals with metabolic disorders has been investigated in various studies, and the results appear to be conflicting. The contradictory findings regarding the effects of exercise on circulating FGF21 suggest that both muscle and liver respond to the elevation of FGF21 induced by exercise, but the dominant response may vary under different conditions. Some studies support the notion that chronic exercise, either alone or in combination with dietary intervention, can significantly reduce circulating FGF21 levels in obese or elderly individuals [305,306,307]. However, other studies did not observe any effect of chronic exercise on FGF21 levels in obese or diabetic patients [308,309]. It is important to consider that these discrepancies could be attributed to methodological issues. Firstly, FGF21 levels are influenced by various factors such as fasting status [310], nutrient intake [311], and circadian rhythm control [311,312], which were not always specified in these studies. Additionally, it is important to consider that the response of FGF21 to exercise is temporary and influenced by the timing of sample collection. This can explain why there was no significant difference observed between FGF21 levels before exercise and 48 h after exercise [313]. Furthermore, not all the studies examined changes in systemic levels of insulin or free fatty acids, hepatic fat content, or cardiorespiratory fitness, all of which have been shown to impact FGF21 levels.
Furthermore, exercise influences the levels of adipokines by modifying the expression of genes and activating or inactivating proteins that are part of their signaling pathways [159]. It appears that chronic exercise is necessary to restore the physiological effects of leptin. Meta-analyses have shown that long-term aerobic, resistance, and combined exercise lead to reductions in fat mass accompanied by lower levels of leptin [314,315]. Another previous study found that chronic exercise training for at least two weeks, whether aerobic or resistance training, resulted in decreased leptin levels in elderly postmenopausal women [314]. This reduction in leptin levels was dependent on the percentage of body fat, regardless of age and sex.
The mechanisms involved in this decrease during moderate to severe resistance training include factors such as peripheral glucose uptake, sympathetic stimulation of the adrenal gland, lactate and acidosis, and glycogen depletion specifically in elderly postmenopausal women [316]. This improvement in leptin sensitivity can be attributed to decreased feedback inhibitors on leptin receptors (LepR), the creation of an anti-inflammatory environment throughout the body induced by exercise, and reduced oxidative stress in the hypothalamus [159,315,317,318]. In addition to its traditional role in increasing sympathetic nervous system activity to promote overall energy expenditure, restored leptin sensitivity in peripheral organs can also facilitate the maintenance of reduced body fat. Leptin has been found to increase glucose and free fatty acid uptake and oxidation in skeletal muscle, while decreasing intrahepatic lipid content by promoting fatty acid oxidation [319]. Therefore, leptin may play a role in redirecting nutrients away from white adipose tissue, aligning with its function as an “adipostat” that tightly regulates adipocyte size under normal physiological conditions.
However, as previously discussed, the regulation of organokines appears to be governed by a spectrum of variables beyond mere training intensity and duration. Factors such as nutrition, lifestyle, circadian rhythms, and an array of other influences seemingly contribute to the intricate tapestry of organokine production [320,321]. Hence, it becomes imperative to comprehensively explore the multi-faceted landscape of exercise-induced cellular metabolism in a comprehensive manner. In this pursuit, particular emphasis should be placed on unraveling the impact of multi-factors, including nutrition, lifestyle, and circadian rhythms on cellular metabolism.

7. Conclusions

In this review, we summarized the organokines that play crucial roles in the pathophysiology of obesity and T2D. CR has emerged as an effective approach for regulating organokines, leading to improvements in glucose metabolism, insulin sensitivity, and lipid profiles. Dietary interventions, such as fiber consumption and supplementation with ω3 PUFAs, selenium, and vitamins, have shown promising effects in modulating organokines and mitigating inflammation in adipose tissues (Figure 1 and Table 1). Furthermore, exercise has been identified as a powerful tool for reshaping energy metabolism and influencing the secretion of myokines (Figure 1 and Table 2). These findings highlighted the potential of targeting organokines through lifestyle interventions as a valuable strategy for the management and prevention of obesity and T2D. Overall, understanding the complex interactions among organokines, metabolic disorders, and lifestyle factors provides valuable insights into the development of effective therapeutic approaches.
Unlike many previous publications focusing solely on the role of organokines in metabolic disorders, our review is unique in that it explored the multifaceted influence of lifestyle interventions on these signaling molecules. By summarizing the effects of nutrition and exercise on organokine regulation, we provided a comprehensive perspective that extends beyond the conventional examination of organokines in isolation. However, in addition to making important contributions, our review paper has certain limitations that warrant consideration. Specifically, the complex interactions between organokines, metabolic disorders, and lifestyle factors may have been confounded by other variables that were not fully addressed in the studies analyzed. Inheritance of genetic predisposition, environmental influences, and variations in individual responses to interventions can all contribute to a complex interaction of outcomes. Furthermore, this review did not include organokines produced by the brain or brown adipose tissues. Recently, the function of cytokines produced in the central nervous system by astrocytes, neurons, and microglia has been gaining attention [322]. Future studies are needed to elucidate the effects of organokines produced in the brain and brown adipose tissues and their modulation by diet and exercise.
In conclusion, while targeting organokines holds promise for the management of obesity and T2D, limitations, such as an incomplete understanding of the underlying mechanisms, short-term focus of studies, individual variations, complex interplay with other factors, and challenges in real-world implementation need to be addressed.

8. Future Directions

Despite the potential of targeting organokines for the management of obesity and T2D, this review had several limitations. First, the exact mechanisms underlying the regulation and interactions of organokines in metabolic disorders are not fully understood. The complexity of signaling pathways and crosstalk between different organs and tissues makes it challenging to pinpoint specific cause-and-effect relationships. Additionally, individual variations in the expression of organokines and responses to lifestyle interventions further complicate the interpretation of results and the development of standardized treatment approaches. Most studies investigating the effects of CR, dietary interventions, and exercise on organokines have focused on short-term interventions or exercise bouts. Hence, long-term adherence to these interventions and their sustained effects on organokine profiles and metabolic outcomes remain relatively unexplored.
In addition, most studies investigated the solitary effects of the intervention on organokines in obesity and T2D. Future studies should address the synergistic effects of diet/nutrients and exercise on organokine reorganization and its impact on the pathophysiology of obesity and T2D. Furthermore, most studies have been small-scale or conducted using animal models, limiting the adaptability and generalizability of the findings to larger populations. Other factors, such as genetic predisposition, gut microbiota composition, and environmental influences, can also significantly affect the regulation and functionality of organokines. Therefore, further research is required to better understand these interactions and develop comprehensive therapeutic strategies that target multiple aspects of metabolic diseases.
The idea of inheritance in organokines refers to how genetic factors can affect the creation, control, and impact of these specific signaling molecules, which were produced by different body organs. Although the study of organokines is relatively new, the connection between genetics and the function organokines is a complex area that is gaining attention. Genetic variations can affect organokine production, increasing individual’s susceptibility to metabolic diseases, such as obesity and T2D [323,324]. For example, the genetic variants in the TNF-α or IL-6 are more frequently found in obese children compared with nonobese children [15,320,321]. Increasing evidence has shown that maintaining the optimal expression pattern of organokines (e.g., leptin) in parents is another crucial factor in determining the health of future generations [325].
It has been demonstrated that parental lifestyle and environmental exposures can affect epigenetic modifications of somatic and germline cells, delivering a unique epigenetic landscape to offspring [325,326]. For example, it has been found that maternal supplementation with n-6 and n-3 PUFAs during pregnancy modulates the epigenome, leading to a significant reduction in leptin levels in young and adult offspring [327,328,329]. However, more studies are needed to elucidate the role of organokines in the transgenerational inheritance of metabolic diseases.
Finally, although lifestyle interventions can effectively modulate the expression of organokines and improve metabolic health, their implementation and long-term adherence to real-world setting is challenging. Factors such as socio-economic status, access to healthy foods, and barriers to physical activity can affect the feasibility and sustainability of lifestyle interventions, limiting their widespread application and effectiveness. Future studies should aim to overcome these limitations and provide comprehensive insights into the role of organokines in metabolic disorders, leading to the development of effective and personalized therapeutic strategies.

Author Contributions

J.Y.L. and E.K. conceptualized this review; J.Y.L. and E.K. wrote the first draft of the manuscript and prepared the figures. All authors have read and agreed to the published version of the manuscript.

Funding

This perspective received no external funding.

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hu, F.B. Globalization of diabetes: The role of diet, lifestyle, and genes. Diabetes Care 2011, 34, 1249–1257. [Google Scholar] [CrossRef]
  2. Ginsberg, H.N.; MacCallum, P.R. The obesity, metabolic syndrome, and type 2 diabetes mellitus pandemic: Part I. Increased cardiovascular disease risk and the importance of atherogenic dyslipidemia in persons with the metabolic syndrome and type 2 diabetes mellitus. J. Cardiometab. Syndr. 2009, 4, 113–119. [Google Scholar] [CrossRef]
  3. Alberti, K.G.; Eckel, R.H.; Grundy, S.M.; Zimmet, P.Z.; Cleeman, J.I.; Donato, K.A.; Fruchart, J.C.; James, W.P.; Loria, C.M.; Smith, S.C., Jr. Harmonizing the metabolic syndrome: A joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009, 120, 1640–1645. [Google Scholar] [CrossRef]
  4. Livesey, G.; Taylor, R.; Livesey, H.F.; Buyken, A.E.; Jenkins, D.J.A.; Augustin, L.S.A.; Sievenpiper, J.L.; Barclay, A.W.; Liu, S.; Wolever, T.M.S.; et al. Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: A Systematic Review and Updated Meta-Analyses of Prospective Cohort Studies. Nutrients 2019, 11, 1280. [Google Scholar] [CrossRef]
  5. Hall, K.D.; Farooqi, I.S.; Friedman, J.M.; Klein, S.; Loos, R.J.F.; Mangelsdorf, D.J.; O′Rahilly, S.; Ravussin, E.; Redman, L.M.; Ryan, D.H.; et al. The energy balance model of obesity: Beyond calories in, calories out. Am. J. Clin. Nutr. 2022, 115, 1243–1254. [Google Scholar] [CrossRef]
  6. Subramaniam, A.; Landstrom, M.; Luu, A.; Hayes, K.C. The Nile Rat (Arvicanthis niloticus) as a Superior Carbohydrate-Sensitive Model for Type 2 Diabetes Mellitus (T2DM). Nutrients 2018, 10, 235. [Google Scholar] [CrossRef]
  7. Firth, J.; Gangwisch, J.E.; Borisini, A.; Wootton, R.E.; Mayer, E.A. Food and mood: How do diet and nutrition affect mental wellbeing? BMJ 2020, 369, m2382. [Google Scholar] [CrossRef] [PubMed]
  8. Silva, L.R.B.; Seguro, C.S.; de Oliveira, C.G.A.; Santos, P.O.S.; de Oliveira, J.C.M.; de Souza Filho, L.F.M.; de Paula Júnior, C.A.; Gentil, P.; Rebelo, A.C.S. Physical Inactivity Is Associated with Increased Levels of Anxiety, Depression, and Stress in Brazilians During the COVID-19 Pandemic: A Cross-Sectional Study. Front. Psychiatry 2020, 11, 565291. [Google Scholar] [CrossRef] [PubMed]
  9. Errisuriz, V.L.; Pasch, K.E.; Perry, C.L. Perceived stress and dietary choices: The moderating role of stress management. Eat. Behav. 2016, 22, 211–216. [Google Scholar] [CrossRef]
  10. Kim, J.B. Dynamic cross talk between metabolic organs in obesity and metabolic diseases. Exp. Mol. Med. 2016, 48, e214. [Google Scholar] [CrossRef]
  11. Sanches, J.M.; Zhao, L.N.; Salehi, A.; Wollheim, C.B.; Kaldis, P. Pathophysiology of type 2 diabetes and the impact of altered metabolic interorgan crosstalk. FEBS J. 2023, 290, 620–648. [Google Scholar] [CrossRef]
  12. Gancheva, S.; Jelenik, T.; Alvarez-Hernandez, E.; Roden, M. Interorgan Metabolic Crosstalk in Human Insulin Resistance. Physiol. Rev. 2018, 98, 1371–1415. [Google Scholar] [CrossRef] [PubMed]
  13. Petersen, M.C.; Shulman, G.I. Mechanisms of Insulin Action and Insulin Resistance. Physiol. Rev. 2018, 98, 2133–2223. [Google Scholar] [CrossRef]
  14. Funcke, J.B.; Scherer, P.E. Beyond adiponectin and leptin: Adipose tissue-derived mediators of inter-organ communication. J. Lipid Res. 2019, 60, 1648–1684. [Google Scholar] [CrossRef]
  15. de Oliveira Dos Santos, A.R.; de Oliveira Zanuso, B.; Miola, V.F.B.; Barbalho, S.M.; Santos Bueno, P.C.; Flato, U.A.P.; Detregiachi, C.R.P.; Buchaim, D.V.; Buchaim, R.L.; Tofano, R.J.; et al. Adipokines, Myokines, and Hepatokines: Crosstalk and Metabolic Repercussions. Int. J. Mol. Sci. 2021, 22, 2639. [Google Scholar] [CrossRef]
  16. Meex, R.C.R.; Watt, M.J. Hepatokines: Linking nonalcoholic fatty liver disease and insulin resistance. Nat. Rev. Endocrinol. 2017, 13, 509–520. [Google Scholar] [CrossRef]
  17. Lorincz, H.; Somodi, S.; Ratku, B.; Harangi, M.; Paragh, G. Crucial Regulatory Role of Organokines in Relation to Metabolic Changes in Non-Diabetic Obesity. Metabolites 2023, 13, 270. [Google Scholar] [CrossRef] [PubMed]
  18. Roden, M. Hepatic glucose production and insulin resistance. Wien. Med. Wochenschr. 2008, 158, 558–561. [Google Scholar] [CrossRef]
  19. Beck-Nielsen, H.; Hother-Nielsen, O.; Staehr, P. Is hepatic glucose production increased in type 2 diabetes mellitus? Curr. Diab Rep. 2002, 2, 231–236. [Google Scholar] [CrossRef]
  20. Stefan, N.; Haring, H.U. The role of hepatokines in metabolism. Nat. Rev. Endocrinol. 2013, 9, 144–152. [Google Scholar] [CrossRef]
  21. Noureddin, M.; Rinella, M.E. Nonalcoholic Fatty liver disease, diabetes, obesity, and hepatocellular carcinoma. Clin. Liver Dis. 2015, 19, 361–379. [Google Scholar] [CrossRef] [PubMed]
  22. Lefere, S.; Tacke, F. Macrophages in obesity and non-alcoholic fatty liver disease: Crosstalk with metabolism. JHEP Rep. 2019, 1, 30–43. [Google Scholar] [CrossRef] [PubMed]
  23. Jensen-Cody, S.O.; Potthoff, M.J. Hepatokines and metabolism: Deciphering communication from the liver. Mol. Metab. 2021, 44, 101138. [Google Scholar] [CrossRef]
  24. Pedersen, B.K.; Febbraio, M.A. Muscles, exercise and obesity: Skeletal muscle as a secretory organ. Nat. Rev. Endocrinol. 2012, 8, 457–465. [Google Scholar] [CrossRef] [PubMed]
  25. Chow, L.S.; Gerszten, R.E.; Taylor, J.M.; Pedersen, B.K.; van Praag, H.; Trappe, S.; Febbraio, M.A.; Galis, Z.S.; Gao, Y.; Haus, J.M.; et al. Exerkines in health, resilience and disease. Nat. Rev. Endocrinol. 2022, 18, 273–289. [Google Scholar] [CrossRef]
  26. Longo, M.; Zatterale, F.; Naderi, J.; Parrillo, L.; Formisano, P.; Raciti, G.A.; Beguinot, F.; Miele, C. Adipose Tissue Dysfunction as Determinant of Obesity-Associated Metabolic Complications. Int. J. Mol. Sci. 2019, 20, 2358. [Google Scholar] [CrossRef]
  27. Guilherme, A.; Virbasius, J.V.; Puri, V.; Czech, M.P. Adipocyte dysfunctions linking obesity to insulin resistance and type 2 diabetes. Nat. Rev. Mol. Cell Biol. 2008, 9, 367–377. [Google Scholar] [CrossRef]
  28. Stephens, J.M. The fat controller: Adipocyte development. PLoS Biol. 2012, 10, e1001436. [Google Scholar] [CrossRef]
  29. Wang, Y.; Rimm, E.B.; Stampfer, M.J.; Willett, W.C.; Hu, F.B. Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men. Am. J. Clin. Nutr. 2005, 81, 555–563. [Google Scholar] [CrossRef]
  30. Zhang, C.; Rexrode, K.M.; van Dam, R.M.; Li, T.Y.; Hu, F.B. Abdominal obesity and the risk of all-cause, cardiovascular, and cancer mortality: Sixteen years of follow-up in US women. Circulation 2008, 117, 1658–1667. [Google Scholar] [CrossRef]
  31. Snijder, M.B.; Dekker, J.M.; Visser, M.; Bouter, L.M.; Stehouwer, C.D.; Kostense, P.J.; Yudkin, J.S.; Heine, R.J.; Nijpels, G.; Seidell, J.C. Associations of hip and thigh circumferences independent of waist circumference with the incidence of type 2 diabetes: The Hoorn Study. Am. J. Clin. Nutr. 2003, 77, 1192–1197. [Google Scholar] [CrossRef]
  32. Piercy, K.L.; Troiano, R.P.; Ballard, R.M.; Carlson, S.A.; Fulton, J.E.; Galuska, D.A.; George, S.M.; Olson, R.D. The Physical Activity Guidelines for Americans. JAMA 2018, 320, 2020–2028. [Google Scholar] [CrossRef] [PubMed]
  33. Trepanowski, J.F.; Mey, J.; Varady, K.A. Fetuin-A: A novel link between obesity and related complications. Int. J. Obes. 2015, 39, 734–741. [Google Scholar] [CrossRef] [PubMed]
  34. Dogru, T.; Kirik, A.; Gurel, H.; Rizvi, A.A.; Rizzo, M.; Sonmez, A. The Evolving Role of Fetuin-A in Nonalcoholic Fatty Liver Disease: An Overview from Liver to the Heart. Int. J. Mol. Sci. 2021, 22, 6627. [Google Scholar] [CrossRef] [PubMed]
  35. Brix, J.M.; Stingl, H.; Hollerl, F.; Schernthaner, G.H.; Kopp, H.P.; Schernthaner, G. Elevated Fetuin-A concentrations in morbid obesity decrease after dramatic weight loss. J. Clin. Endocrinol. Metab. 2010, 95, 4877–4881. [Google Scholar] [CrossRef]
  36. Ix, J.H.; Wassel, C.L.; Kanaya, A.M.; Vittinghoff, E.; Johnson, K.C.; Koster, A.; Cauley, J.A.; Harris, T.B.; Cummings, S.R.; Shlipak, M.G.; et al. Fetuin-A and incident diabetes mellitus in older persons. JAMA 2008, 300, 182–188. [Google Scholar] [CrossRef]
  37. Lin, X.; Braymer, H.D.; Bray, G.A.; York, D.A. Differential expression of insulin receptor tyrosine kinase inhibitor (fetuin) gene in a model of diet-induced obesity. Life Sci. 1998, 63, 145–153. [Google Scholar] [CrossRef]
  38. Willis, S.A.; Sargeant, J.A.; Yates, T.; Takamura, T.; Takayama, H.; Gupta, V.; Brittain, E.; Crawford, J.; Parry, S.A.; Thackray, A.E.; et al. Acute Hyperenergetic, High-Fat Feeding Increases Circulating FGF21, LECT2, and Fetuin-A in Healthy Men. J. Nutr. 2020, 150, 1076–1085. [Google Scholar] [CrossRef]
  39. Dasgupta, S.; Bhattacharya, S.; Biswas, A.; Majumdar, S.S.; Mukhopadhyay, S.; Ray, S.; Bhattacharya, S. NF-kappaB mediates lipid-induced fetuin-A expression in hepatocytes that impairs adipocyte function effecting insulin resistance. Biochem. J. 2010, 429, 451–462. [Google Scholar] [CrossRef]
  40. Auberger, P.; Falquerho, L.; Contreres, J.O.; Pages, G.; Le Cam, G.; Rossi, B.; Le Cam, A. Characterization of a natural inhibitor of the insulin receptor tyrosine kinase: cDNA cloning, purification, and anti-mitogenic activity. Cell 1989, 58, 631–640. [Google Scholar] [CrossRef]
  41. Mathews, S.T.; Chellam, N.; Srinivas, P.R.; Cintron, V.J.; Leon, M.A.; Goustin, A.S.; Grunberger, G. Alpha2-HSG, a specific inhibitor of insulin receptor autophosphorylation, interacts with the insulin receptor. Mol. Cell Endocrinol. 2000, 164, 87–98. [Google Scholar] [CrossRef]
  42. Stefan, N.; Hennige, A.M.; Staiger, H.; Machann, J.; Schick, F.; Krober, S.M.; Machicao, F.; Fritsche, A.; Haring, H.U. Alpha2-Heremans-Schmid glycoprotein/fetuin-A is associated with insulin resistance and fat accumulation in the liver in humans. Diabetes Care 2006, 29, 853–857. [Google Scholar] [CrossRef] [PubMed]
  43. Stefan, N.; Fritsche, A.; Weikert, C.; Boeing, H.; Joost, H.G.; Haring, H.U.; Schulze, M.B. Plasma fetuin-A levels and the risk of type 2 diabetes. Diabetes 2008, 57, 2762–2767. [Google Scholar] [CrossRef] [PubMed]
  44. Mathews, S.T.; Singh, G.P.; Ranalletta, M.; Cintron, V.J.; Qiang, X.; Goustin, A.S.; Jen, K.L.; Charron, M.J.; Jahnen-Dechent, W.; Grunberger, G. Improved insulin sensitivity and resistance to weight gain in mice null for the Ahsg gene. Diabetes 2002, 51, 2450–2458. [Google Scholar] [CrossRef]
  45. Hennige, A.M.; Staiger, H.; Wicke, C.; Machicao, F.; Fritsche, A.; Haring, H.U.; Stefan, N. Fetuin-A induces cytokine expression and suppresses adiponectin production. PLoS ONE 2008, 3, e1765. [Google Scholar] [CrossRef]
  46. Pal, D.; Dasgupta, S.; Kundu, R.; Maitra, S.; Das, G.; Mukhopadhyay, S.; Ray, S.; Majumdar, S.S.; Bhattacharya, S. Fetuin-A acts as an endogenous ligand of TLR4 to promote lipid-induced insulin resistance. Nat. Med. 2012, 18, 1279–1285. [Google Scholar] [CrossRef] [PubMed]
  47. Fisher, F.M.; Maratos-Flier, E. Understanding the Physiology of FGF21. Annu. Rev. Physiol. 2016, 78, 223–241. [Google Scholar] [CrossRef] [PubMed]
  48. Li, H.; Fang, Q.; Gao, F.; Fan, J.; Zhou, J.; Wang, X.; Zhang, H.; Pan, X.; Bao, Y.; Xiang, K.; et al. Fibroblast growth factor 21 levels are increased in nonalcoholic fatty liver disease patients and are correlated with hepatic triglyceride. J. Hepatol. 2010, 53, 934–940. [Google Scholar] [CrossRef]
  49. Chavez, A.O.; Molina-Carrion, M.; Abdul-Ghani, M.A.; Folli, F.; Defronzo, R.A.; Tripathy, D. Circulating fibroblast growth factor-21 is elevated in impaired glucose tolerance and type 2 diabetes and correlates with muscle and hepatic insulin resistance. Diabetes Care 2009, 32, 1542–1546. [Google Scholar] [CrossRef]
  50. Jimenez, V.; Jambrina, C.; Casana, E.; Sacristan, V.; Munoz, S.; Darriba, S.; Rodo, J.; Mallol, C.; Garcia, M.; Leon, X.; et al. FGF21 gene therapy as treatment for obesity and insulin resistance. EMBO Mol. Med. 2018, 10, e8791. [Google Scholar] [CrossRef]
  51. Keipert, S.; Ost, M. Stress-induced FGF21 and GDF15 in obesity and obesity resistance. Trends Endocrinol. Metab. 2021, 32, 904–915. [Google Scholar] [CrossRef]
  52. Kharitonenkov, A.; Shiyanova, T.L.; Koester, A.; Ford, A.M.; Micanovic, R.; Galbreath, E.J.; Sandusky, G.E.; Hammond, L.J.; Moyers, J.S.; Owens, R.A.; et al. FGF-21 as a novel metabolic regulator. J. Clin. Investig. 2005, 115, 1627–1635. [Google Scholar] [CrossRef]
  53. Shao, M.; Yu, L.; Zhang, F.; Lu, X.; Li, X.; Cheng, P.; Lin, X.; He, L.; Jin, S.; Tan, Y.; et al. Additive protection by LDR and FGF21 treatment against diabetic nephropathy in type 2 diabetes model. Am. J. Physiol. Endocrinol. Metab. 2015, 309, E45–E54. [Google Scholar] [CrossRef]
  54. Coskun, T.; Bina, H.A.; Schneider, M.A.; Dunbar, J.D.; Hu, C.C.; Chen, Y.; Moller, D.E.; Kharitonenkov, A. Fibroblast growth factor 21 corrects obesity in mice. Endocrinology 2008, 149, 6018–6027. [Google Scholar] [CrossRef] [PubMed]
  55. Thompson, W.C.; Zhou, Y.; Talukdar, S.; Musante, C.J. PF-05231023, a long-acting FGF21 analogue, decreases body weight by reduction of food intake in non-human primates. J. Pharmacokinet. Pharmacodyn. 2016, 43, 411–425. [Google Scholar] [CrossRef] [PubMed]
  56. Zhang, J.; Li, Y. Fibroblast Growth Factor 21 Analogs for Treating Metabolic Disorders. Front. Endocrinol. 2015, 6, 168. [Google Scholar] [CrossRef] [PubMed]
  57. Charles, E.D.; Neuschwander-Tetri, B.A.; Pablo Frias, J.; Kundu, S.; Luo, Y.; Tirucherai, G.S.; Christian, R. Pegbelfermin (BMS-986036), PEGylated FGF21, in Patients with Obesity and Type 2 Diabetes: Results from a Randomized Phase 2 Study. Obesity 2019, 27, 41–49. [Google Scholar] [CrossRef]
  58. Chau, M.D.; Gao, J.; Yang, Q.; Wu, Z.; Gromada, J. Fibroblast growth factor 21 regulates energy metabolism by activating the AMPK-SIRT1-PGC-1alpha pathway. Proc. Natl. Acad. Sci. USA 2010, 107, 12553–12558. [Google Scholar] [CrossRef]
  59. Cuevas-Ramos, D.; Mehta, R.; Aguilar-Salinas, C.A. Fibroblast Growth Factor 21 and Browning of White Adipose Tissue. Front. Physiol. 2019, 10, 37. [Google Scholar] [CrossRef]
  60. Liu, C.; Schonke, M.; Zhou, E.; Li, Z.; Kooijman, S.; Boon, M.R.; Larsson, M.; Wallenius, K.; Dekker, N.; Barlind, L.; et al. Pharmacological treatment with FGF21 strongly improves plasma cholesterol metabolism to reduce atherosclerosis. Cardiovasc. Res. 2022, 118, 489–502. [Google Scholar] [CrossRef] [PubMed]
  61. Takata, N.; Ishii, K.A.; Takayama, H.; Nagashimada, M.; Kamoshita, K.; Tanaka, T.; Kikuchi, A.; Takeshita, Y.; Matsumoto, Y.; Ota, T.; et al. LECT2 as a hepatokine links liver steatosis to inflammation via activating tissue macrophages in NASH. Sci. Rep. 2021, 11, 555. [Google Scholar] [CrossRef]
  62. Lan, F.; Misu, H.; Chikamoto, K.; Takayama, H.; Kikuchi, A.; Mohri, K.; Takata, N.; Hayashi, H.; Matsuzawa-Nagata, N.; Takeshita, Y.; et al. LECT2 functions as a hepatokine that links obesity to skeletal muscle insulin resistance. Diabetes 2014, 63, 1649–1664. [Google Scholar] [CrossRef]
  63. Xu, H.; Li, X.; Wu, Z.; Zhao, L.; Shen, J.; Liu, J.; Qin, J.; Shen, Y.; Ke, J.; Wei, Y.; et al. LECT2, A Novel and Direct Biomarker of Liver Fibrosis in Patients with CHB. Front. Mol. Biosci. 2021, 8, 749648. [Google Scholar] [CrossRef]
  64. Chu, T.H.; Ko, C.Y.; Tai, P.H.; Chang, Y.C.; Huang, C.C.; Wu, T.Y.; Chan, H.H.; Wu, P.H.; Weng, C.H.; Lin, Y.W.; et al. Leukocyte cell-derived chemotaxin 2 regulates epithelial-mesenchymal transition and cancer stemness in hepatocellular carcinoma. J. Biol. Chem. 2022, 298, 102442. [Google Scholar] [CrossRef] [PubMed]
  65. Chikamoto, K.; Misu, H.; Takayama, H.; Kikuchi, A.; Ishii, K.A.; Lan, F.; Takata, N.; Tajima-Shirasaki, N.; Takeshita, Y.; Tsugane, H.; et al. Rapid response of the steatosis-sensing hepatokine LECT2 during diet-induced weight cycling in mice. Biochem. Biophys. Res. Commun. 2016, 478, 1310–1316. [Google Scholar] [CrossRef]
  66. Jung, T.W.; Chung, Y.H.; Kim, H.C.; Abd El-Aty, A.M.; Jeong, J.H. LECT2 promotes inflammation and insulin resistance in adipocytes via P38 pathways. J. Mol. Endocrinol. 2018, 61, 37–45. [Google Scholar] [CrossRef] [PubMed]
  67. Carlson, B.A.; Novoselov, S.V.; Kumaraswamy, E.; Lee, B.J.; Anver, M.R.; Gladyshev, V.N.; Hatfield, D.L. Specific excision of the selenocysteine tRNA[Ser]Sec (Trsp) gene in mouse liver demonstrates an essential role of selenoproteins in liver function. J. Biol. Chem. 2004, 279, 8011–8017. [Google Scholar] [CrossRef] [PubMed]
  68. Burk, R.F.; Hill, K.E. Selenoprotein P: An extracellular protein with unique physical characteristics and a role in selenium homeostasis. Annu. Rev. Nutr. 2005, 25, 215–235. [Google Scholar] [CrossRef]
  69. Yang, S.J.; Hwang, S.Y.; Choi, H.Y.; Yoo, H.J.; Seo, J.A.; Kim, S.G.; Kim, N.H.; Baik, S.H.; Choi, D.S.; Choi, K.M. Serum selenoprotein P levels in patients with type 2 diabetes and prediabetes: Implications for insulin resistance, inflammation, and atherosclerosis. J. Clin. Endocrinol. Metab. 2011, 96, E1325–E1329. [Google Scholar] [CrossRef]
  70. Choi, H.Y.; Hwang, S.Y.; Lee, C.H.; Hong, H.C.; Yang, S.J.; Yoo, H.J.; Seo, J.A.; Kim, S.G.; Kim, N.H.; Baik, S.H.; et al. Increased selenoprotein p levels in subjects with visceral obesity and nonalcoholic Fatty liver disease. Diabetes Metab. J. 2013, 37, 63–71. [Google Scholar] [CrossRef]
  71. Misu, H.; Takamura, T.; Takayama, H.; Hayashi, H.; Matsuzawa-Nagata, N.; Kurita, S.; Ishikura, K.; Ando, H.; Takeshita, Y.; Ota, T.; et al. A liver-derived secretory protein, selenoprotein P, causes insulin resistance. Cell Metab. 2010, 12, 483–495. [Google Scholar] [CrossRef] [PubMed]
  72. Jung, T.W.; Choi, H.Y.; Lee, S.Y.; Hong, H.C.; Yang, S.J.; Yoo, H.J.; Youn, B.S.; Baik, S.H.; Choi, K.M. Salsalate and Adiponectin Improve Palmitate-Induced Insulin Resistance via Inhibition of Selenoprotein P through the AMPK-FOXO1α Pathway. PLoS ONE 2013, 8, e66529. [Google Scholar] [CrossRef] [PubMed]
  73. Pedersen, B.K.; Fischer, C.P. Beneficial health effects of exercise—The role of IL-6 as a myokine. Trends Pharmacol. Sci. 2007, 28, 152–156. [Google Scholar] [CrossRef] [PubMed]
  74. Rosendal, L.; Søgaard, K.; Kjaer, M.; Sjøgaard, G.; Langberg, H.; Kristiansen, J. Increase in interstitial interleukin-6 of human skeletal muscle with repetitive low-force exercise. J. Appl. Physiol. 2005, 98, 477–481. [Google Scholar] [CrossRef] [PubMed]
  75. Hoene, M.; Runge, H.; Häring, H.U.; Schleicher, E.D.; Weigert, C. Interleukin-6 promotes myogenic differentiation of mouse skeletal muscle cells: Role of the STAT3 pathway. Am. J. Physiol. Cell Physiol. 2013, 304, C128–C136. [Google Scholar] [CrossRef]
  76. Pedersen, B.K. IL-6 signalling in exercise and disease. Biochem. Soc. Trans. 2007, 35, 1295–1297. [Google Scholar] [CrossRef]
  77. Ruderman, N.B.; Keller, C.; Richard, A.M.; Saha, A.K.; Luo, Z.; Xiang, X.; Giralt, M.; Ritov, V.B.; Menshikova, E.V.; Kelley, D.E.; et al. Interleukin-6 regulation of AMP-activated protein kinase. Potential role in the systemic response to exercise and prevention of the metabolic syndrome. Diabetes 2006, 55 (Suppl. S2), S48–S54. [Google Scholar] [CrossRef]
  78. Carey, A.L.; Steinberg, G.R.; Macaulay, S.L.; Thomas, W.G.; Holmes, A.G.; Ramm, G.; Prelovsek, O.; Hohnen-Behrens, C.; Watt, M.J.; James, D.E.; et al. Interleukin-6 increases insulin-stimulated glucose disposal in humans and glucose uptake and fatty acid oxidation in vitro via AMP-activated protein kinase. Diabetes 2006, 55, 2688–2697. [Google Scholar] [CrossRef]
  79. Kelly, M.; Gauthier, M.S.; Saha, A.K.; Ruderman, N.B. Activation of AMP-activated protein kinase by interleukin-6 in rat skeletal muscle: Association with changes in cAMP, energy state, and endogenous fuel mobilization. Diabetes 2009, 58, 1953–1960. [Google Scholar] [CrossRef]
  80. Pedersen, L.; Pilegaard, H.; Hansen, J.; Brandt, C.; Adser, H.; Hidalgo, J.; Olesen, J.; Pedersen, B.K.; Hojman, P. Exercise-induced liver chemokine CXCL-1 expression is linked to muscle-derived interleukin-6 expression. J. Physiol. 2011, 589, 1409–1420. [Google Scholar] [CrossRef] [PubMed]
  81. Wallenius, V.; Wallenius, K.; Ahrén, B.; Rudling, M.; Carlsten, H.; Dickson, S.L.; Ohlsson, C.; Jansson, J.O. Interleukin-6-deficient mice develop mature-onset obesity. Nat. Med. 2002, 8, 75–79. [Google Scholar] [CrossRef] [PubMed]
  82. Saad, B.; Frei, K.; Scholl, F.A.; Fontana, A.; Maier, P. Hepatocyte-Derived Interleukin-6 and Tumor-Necrosis Factor α Mediate the Lipopolysaccharide-Induced Acute-Phase Response and Nitric Oxide Release by Cultured Rat Hepatocytes. Eur. J. Biochem. 1995, 229, 349–355. [Google Scholar] [CrossRef] [PubMed]
  83. Kim, H.-J.; Higashimori, T.; Park, S.-Y.; Choi, H.; Dong, J.; Kim, Y.-J.; Noh, H.-L.; Cho, Y.-R.; Cline, G.; Kim, Y.-B. Differential effects of interleukin-6 and-10 on skeletal muscle and liver insulin action in vivo. Diabetes 2004, 53, 1060–1067. [Google Scholar] [CrossRef] [PubMed]
  84. Ueki, K.; Kondo, T.; Kahn, C.R. Suppressor of cytokine signaling 1 (SOCS-1) and SOCS-3 cause insulin resistance through inhibition of tyrosine phosphorylation of insulin receptor substrate proteins by discrete mechanisms. Mol. Cell. Biol. 2005, 25, 8762. [Google Scholar] [CrossRef]
  85. Sabio, G.; Das, M.; Mora, A.; Zhang, Z.; Jun, J.Y.; Ko, H.J.; Barrett, T.; Kim, J.K.; Davis, R.J. A stress signaling pathway in adipose tissue regulates hepatic insulin resistance. Science 2008, 322, 1539–1543. [Google Scholar] [CrossRef]
  86. Pedersen, B.K.; Fischer, C.P. Physiological roles of muscle-derived interleukin-6 in response to exercise. Curr. Opin. Clin. Nutr. Metab. Care 2007, 10, 265–271. [Google Scholar] [CrossRef] [PubMed]
  87. Xing, Z.; Gauldie, J.; Cox, G.; Baumann, H.; Jordana, M.; Lei, X.F.; Achong, M.K. IL-6 is an antiinflammatory cytokine required for controlling local or systemic acute inflammatory responses. J. Clin. Investig. 1998, 101, 311–320. [Google Scholar] [CrossRef]
  88. Steensberg, A.; van Hall, G.; Osada, T.; Sacchetti, M.; Saltin, B.; Klarlund Pedersen, B. Production of interleukin-6 in contracting human skeletal muscles can account for the exercise-induced increase in plasma interleukin-6. J. Physiol. 2000, 529 Pt 1, 237–242. [Google Scholar] [CrossRef]
  89. Kim, J.H.; Kim, J.E.; Liu, H.Y.; Cao, W.; Chen, J. Regulation of interleukin-6-induced hepatic insulin resistance by mammalian target of rapamycin through the STAT3-SOCS3 pathway. J. Biol. Chem. 2008, 283, 708–715. [Google Scholar] [CrossRef]
  90. Boström, P.; Wu, J.; Jedrychowski, M.P.; Korde, A.; Ye, L.; Lo, J.C.; Rasbach, K.A.; Boström, E.A.; Choi, J.H.; Long, J.Z.; et al. A PGC1-α-dependent myokine that drives brown-fat-like development of white fat and thermogenesis. Nature 2012, 481, 463–468. [Google Scholar] [CrossRef]
  91. Fernandez-Marcos, P.J.; Auwerx, J. Regulation of PGC-1α, a nodal regulator of mitochondrial biogenesis. Am. J. Clin. Nutr. 2011, 93, 884S–890S. [Google Scholar] [CrossRef]
  92. Schuler, M.; Ali, F.; Chambon, C.; Duteil, D.; Bornert, J.M.; Tardivel, A.; Desvergne, B.; Wahli, W.; Chambon, P.; Metzger, D. PGC1alpha expression is controlled in skeletal muscles by PPARbeta, whose ablation results in fiber-type switching, obesity, and type 2 diabetes. Cell Metab. 2006, 4, 407–414. [Google Scholar] [CrossRef] [PubMed]
  93. Castillo-Quan, J.I. From white to brown fat through the PGC-1α-dependent myokine irisin: Implications for diabetes and obesity. Dis. Model. Mech. 2012, 5, 293–295. [Google Scholar] [CrossRef] [PubMed]
  94. Crujeiras, A.B.; Pardo, M.; Arturo, R.R.; Navas-Carretero, S.; Zulet, M.A.; Martínez, J.A.; Casanueva, F.F. Longitudinal variation of circulating irisin after an energy restriction-induced weight loss and following weight regain in obese men and women. Am. J. Hum. Biol. 2014, 26, 198–207. [Google Scholar] [CrossRef]
  95. Pardo, M.; Crujeiras, A.B.; Amil, M.; Aguera, Z.; Jiménez-Murcia, S.; Baños, R.; Botella, C.; de la Torre, R.; Estivill, X.; Fagundo, A.B.; et al. Association of irisin with fat mass, resting energy expenditure, and daily activity in conditions of extreme body mass index. Int. J. Endocrinol. 2014, 2014, 857270. [Google Scholar] [CrossRef]
  96. Shoukry, A.; Shalaby, S.M.; El-Arabi Bdeer, S.; Mahmoud, A.A.; Mousa, M.M.; Khalifa, A. Circulating serum irisin levels in obesity and type 2 diabetes mellitus. IUBMB Life 2016, 68, 544–556. [Google Scholar] [CrossRef]
  97. Perakakis, N.; Triantafyllou, G.A.; Fernández-Real, J.M.; Huh, J.Y.; Park, K.H.; Seufert, J.; Mantzoros, C.S. Physiology and role of irisin in glucose homeostasis. Nat. Rev. Endocrinol. 2017, 13, 324–337. [Google Scholar] [CrossRef] [PubMed]
  98. Hojman, P.; Pedersen, M.; Nielsen, A.R.; Krogh-Madsen, R.; Yfanti, C.; Akerstrom, T.; Nielsen, S.; Pedersen, B.K. Fibroblast growth factor-21 is induced in human skeletal muscles by hyperinsulinemia. Diabetes 2009, 58, 2797–2801. [Google Scholar] [CrossRef]
  99. Izumiya, Y.; Bina, H.A.; Ouchi, N.; Akasaki, Y.; Kharitonenkov, A.; Walsh, K. FGF21 is an Akt-regulated myokine. FEBS Lett. 2008, 582, 3805–3810. [Google Scholar] [CrossRef]
  100. Gong, Q.; Hu, Z.; Zhang, F.; Cui, A.; Chen, X.; Jiang, H.; Gao, J.; Chen, X.; Han, Y.; Liang, Q.; et al. Fibroblast growth factor 21 improves hepatic insulin sensitivity by inhibiting mammalian target of rapamycin complex 1 in mice. Hepatology 2016, 64, 425–438. [Google Scholar] [CrossRef]
  101. Mashili, F.L.; Austin, R.L.; Deshmukh, A.S.; Fritz, T.; Caidahl, K.; Bergdahl, K.; Zierath, J.R.; Chibalin, A.V.; Moller, D.E.; Kharitonenkov, A.; et al. Direct effects of FGF21 on glucose uptake in human skeletal muscle: Implications for type 2 diabetes and obesity. Diabetes Metab. Res. Rev. 2011, 27, 286–297. [Google Scholar] [CrossRef]
  102. Kim, K.H.; Jeong, Y.T.; Oh, H.; Kim, S.H.; Cho, J.M.; Kim, Y.N.; Kim, S.S.; Kim, D.H.; Hur, K.Y.; Kim, H.K.; et al. Autophagy deficiency leads to protection from obesity and insulin resistance by inducing Fgf21 as a mitokine. Nat. Med. 2013, 19, 83–92. [Google Scholar] [CrossRef]
  103. Keipert, S.; Ost, M.; Johann, K.; Imber, F.; Jastroch, M.; van Schothorst, E.M.; Keijer, J.; Klaus, S. Skeletal muscle mitochondrial uncoupling drives endocrine cross-talk through the induction of FGF21 as a myokine. Am. J. Physiol. Endocrinol. Metab. 2014, 306, E469–E482. [Google Scholar] [CrossRef]
  104. Nielsen, A.R.; Pedersen, B.K. The biological roles of exercise-induced cytokines: IL-6, IL-8, and IL-15. Appl. Physiol. Nutr. Metab. 2007, 32, 833–839. [Google Scholar] [CrossRef]
  105. Quinn, L.S.; Anderson, B.G.; Strait-Bodey, L.; Stroud, A.M.; Argilés, J.M. Oversecretion of interleukin-15 from skeletal muscle reduces adiposity. Am. J. Physiol.-Endocrinol. Metab. 2009, 296, E191–E202. [Google Scholar] [CrossRef] [PubMed]
  106. Nielsen, A.R.; Mounier, R.; Plomgaard, P.; Mortensen, O.H.; Penkowa, M.; Speerschneider, T.; Pilegaard, H.; Pedersen, B.K. Expression of interleukin-15 in human skeletal muscle–effect of exercise and muscle fibre type composition. J. Physiol. 2007, 584, 305–312. [Google Scholar] [CrossRef]
  107. Crane, J.D.; MacNeil, L.G.; Lally, J.S.; Ford, R.J.; Bujak, A.L.; Brar, I.K.; Kemp, B.E.; Raha, S.; Steinberg, G.R.; Tarnopolsky, M.A. Exercise-stimulated interleukin-15 is controlled by AMPK and regulates skin metabolism and aging. Aging Cell 2015, 14, 625–634. [Google Scholar] [CrossRef] [PubMed]
  108. Tamura, Y.; Watanabe, K.; Kantani, T.; Hayashi, J.; Ishida, N.; Kaneki, M. Upregulation of circulating IL-15 by treadmill running in healthy individuals: Is IL-15 an endocrine mediator of the beneficial effects of endurance exercise? Endocr. J. 2011, 58, 211–215. [Google Scholar] [CrossRef]
  109. Nielsen, A.R.; Hojman, P.; Erikstrup, C.; Fischer, C.P.; Plomgaard, P.; Mounier, R.; Mortensen, O.H.; Broholm, C.; Taudorf, S.; Krogh-Madsen, R.; et al. Association between interleukin-15 and obesity: Interleukin-15 as a potential regulator of fat mass. J. Clin. Endocrinol. Metab. 2008, 93, 4486–4493. [Google Scholar] [CrossRef] [PubMed]
  110. Busquets, S.; Figueras, M.; Almendro, V.; López-Soriano, F.J.; Argilés, J.M. Interleukin-15 increases glucose uptake in skeletal muscle. An antidiabetogenic effect of the cytokine. Biochim. Biophys. Acta 2006, 1760, 1613–1617. [Google Scholar] [CrossRef] [PubMed]
  111. Sun, H.; Liu, D. Hydrodynamic delivery of interleukin 15 gene promotes resistance to high fat diet-induced obesity, fatty liver and improves glucose homeostasis. Gene Ther. 2015, 22, 341–347. [Google Scholar] [CrossRef]
  112. Krolopp, J.E.; Thornton, S.M.; Abbott, M.J. IL-15 activates the Jak3/STAT3 signaling pathway to mediate glucose uptake in skeletal muscle cells. Front. Physiol. 2016, 7, 626. [Google Scholar] [CrossRef]
  113. Barra, N.G.; Reid, S.; MacKenzie, R.; Werstuck, G.; Trigatti, B.L.; Richards, C.; Holloway, A.C.; Ashkar, A.A. Interleukin-15 contributes to the regulation of murine adipose tissue and human adipocytes. Obesity 2010, 18, 1601–1607. [Google Scholar] [CrossRef] [PubMed]
  114. Nadeau, L.; Aguer, C. Interleukin-15 as a myokine: Mechanistic insight into its effect on skeletal muscle metabolism. Appl. Physiol. Nutr. Metab. 2019, 44, 229–238. [Google Scholar] [CrossRef] [PubMed]
  115. Quinn, L.S.; Anderson, B.G.; Conner, J.D.; Wolden-Hanson, T. IL-15 overexpression promotes endurance, oxidative energy metabolism, and muscle PPARδ, SIRT1, PGC-1α, and PGC-1β expression in male mice. Endocrinology 2013, 154, 232–245. [Google Scholar] [CrossRef]
  116. Carbó, N.; López-Soriano, J.; Costelli, P.; Alvarez, B.; Busquets, S.; Baccino, F.M.; Quinn, L.S.; López-Soriano, F.J.; Argilés, J.M. Interleukin-15 mediates reciprocal regulation of adipose and muscle mass: A potential role in body weight control. Biochim. Biophys. Acta 2001, 1526, 17–24. [Google Scholar] [CrossRef]
  117. Quinn, L.S.; Strait-Bodey, L.; Anderson, B.G.; Argilés, J.M.; Havel, P.J. Interleukin-15 stimulates adiponectin secretion by 3T3-L1 adipocytes: Evidence for a skeletal muscle-to-fat signaling pathway. Cell Biol. Int. 2005, 29, 449–457. [Google Scholar] [CrossRef] [PubMed]
  118. Rodino-Klapac, L.R.; Haidet, A.M.; Kota, J.; Handy, C.; Kaspar, B.K.; Mendell, J.R. Inhibition of myostatin with emphasis on follistatin as a therapy for muscle disease. Muscle Nerve 2009, 39, 283–296. [Google Scholar] [CrossRef]
  119. Hansen, J.; Brandt, C.; Nielsen, A.R.; Hojman, P.; Whitham, M.; Febbraio, M.A.; Pedersen, B.K.; Plomgaard, P. Exercise induces a marked increase in plasma follistatin: Evidence that follistatin is a contraction-induced hepatokine. Endocrinology 2011, 152, 164–171. [Google Scholar] [CrossRef]
  120. Görgens, S.W.; Raschke, S.; Holven, K.B.; Jensen, J.; Eckardt, K.; Eckel, J. Regulation of follistatin-like protein 1 expression and secretion in primary human skeletal muscle cells. Arch. Physiol. Biochem. 2013, 119, 75–80. [Google Scholar] [CrossRef]
  121. Takahashi, A.; Kureishi, Y.; Yang, J.; Luo, Z.; Guo, K.; Mukhopadhyay, D.; Ivashchenko, Y.; Branellec, D.; Walsh, K. Myogenic Akt signaling regulates blood vessel recruitment during myofiber growth. Mol. Cell. Biol. 2002, 22, 4803–4814. [Google Scholar] [CrossRef]
  122. Flier, J.S.; Maratos-Flier, E. Leptin’s physiologic role: Does the emperor of energy balance have no clothes? Cell Metab. 2017, 26, 24–26. [Google Scholar] [CrossRef]
  123. Santos-Alvarez, J.; Goberna, R.; Sánchez-Margalet, V. Human leptin stimulates proliferation and activation of human circulating monocytes. Cell. Immunol. 1999, 194, 6–11. [Google Scholar] [CrossRef]
  124. Shimomura, I.; Hammer, R.E.; Ikemoto, S.; Brown, M.S.; Goldstein, J.L. Leptin reverses insulin resistance and diabetes mellitus in mice with congenital lipodystrophy. Nature 1999, 401, 73–76. [Google Scholar] [CrossRef] [PubMed]
  125. Russell, J.C.; Proctor, S.D. Small animal models of cardiovascular disease: Tools for the study of the roles of metabolic syndrome, dyslipidemia, and atherosclerosis. Cardiovasc. Pathol. 2006, 15, 318–330. [Google Scholar] [CrossRef] [PubMed]
  126. Dandona, P.; Aljada, A.; Bandyopadhyay, A. Inflammation: The link between insulin resistance, obesity and diabetes. Trends Immunol. 2004, 25, 4–7. [Google Scholar] [CrossRef]
  127. Maachi, M.; Pieroni, L.; Bruckert, E.; Jardel, C.; Fellahi, S.; Hainque, B.; Capeau, J.; Bastard, J. Systemic low-grade inflammation is related to both circulating and adipose tissue TNFα, leptin and IL-6 levels in obese women. Int. J. Obes. 2004, 28, 993–997. [Google Scholar] [CrossRef]
  128. Kiguchi, N.; Maeda, T.; Kobayashi, Y.; Fukazawa, Y.; Kishioka, S. Leptin enhances CC-chemokine ligand expression in cultured murine macrophage. Biochem. Biophys. Res. Commun. 2009, 384, 311–315. [Google Scholar] [CrossRef]
  129. Christiansen, T.; Paulsen, S.K.; Bruun, J.M.; Pedersen, S.B.; Richelsen, B. Exercise training versus diet-induced weight-loss on metabolic risk factors and inflammatory markers in obese subjects: A 12-week randomized intervention study. Am. J. Physiol. Endocrinol. Metab. 2010, 298, E824–E831. [Google Scholar] [CrossRef]
  130. Sáinz, N.; Barrenetxe, J.; Moreno-Aliaga, M.J.; Martínez, J.A. Leptin resistance and diet-induced obesity: Central and peripheral actions of leptin. Metabolism 2015, 64, 35–46. [Google Scholar] [CrossRef] [PubMed]
  131. Straub, L.G.; Scherer, P.E. Metabolic messengers: Adiponectin. Nat. Metab. 2019, 1, 334–339. [Google Scholar] [CrossRef]
  132. Mohammed Saeed, W.; Nasser Binjawhar, D. Association of Serum Leptin and Adiponectin Concentrations with Type 2 Diabetes Biomarkers and Complications Among Saudi Women. Diabetes Metab. Syndr. Obes. 2023, 16, 2129–2140. [Google Scholar] [CrossRef] [PubMed]
  133. Muratsu, J.; Kamide, K.; Fujimoto, T.; Takeya, Y.; Sugimoto, K.; Taniyama, Y.; Morishima, A.; Sakaguchi, K.; Matsuzawa, Y.; Rakugi, H. The combination of high levels of adiponectin and insulin resistance are affected by aging in non-obese old peoples. Front. Endocrinol. 2022, 12, 805244. [Google Scholar] [CrossRef]
  134. Hong, X.; Zhang, X.; You, L.; Li, F.; Lian, H.; Wang, J.; Mao, N.; Ren, M.; Li, Y.; Wang, C. Association between adiponectin and newly diagnosed type 2 diabetes in population with the clustering of obesity, dyslipidaemia and hypertension: A cross-sectional study. BMJ Open 2023, 13, e060377. [Google Scholar] [CrossRef]
  135. Yamauchi, T.; Kamon, J.; Waki, H.; Terauchi, Y.; Kubota, N.; Hara, K.; Mori, Y.; Ide, T.; Murakami, K.; Tsuboyama-Kasaoka, N.; et al. The fat-derived hormone adiponectin reverses insulin resistance associated with both lipoatrophy and obesity. Nat. Med. 2001, 7, 941–946. [Google Scholar] [CrossRef]
  136. Qi, Y.; Takahashi, N.; Hileman, S.M.; Patel, H.R.; Berg, A.H.; Pajvani, U.B.; Scherer, P.E.; Ahima, R.S. Adiponectin acts in the brain to decrease body weight. Nat. Med. 2004, 10, 524–529. [Google Scholar] [CrossRef] [PubMed]
  137. Yanai, H.; Yoshida, H. Beneficial effects of adiponectin on glucose and lipid metabolism and atherosclerotic progression: Mechanisms and perspectives. Int. J. Mol. Sci. 2019, 20, 1190. [Google Scholar] [CrossRef]
  138. Combs, T.P.; Marliss, E.B. Adiponectin signaling in the liver. Rev. Endocr. Metab. Disord. 2014, 15, 137–147. [Google Scholar] [CrossRef] [PubMed]
  139. Gastaldelli, A.; Miyazaki, Y.; Mahankali, A.; Berria, R.; Pettiti, M.; Buzzigoli, E.; Ferrannini, E.; DeFronzo, R.A. The effect of pioglitazone on the liver: Role of adiponectin. Diabetes Care 2006, 29, 2275–2281. [Google Scholar] [CrossRef] [PubMed]
  140. Qiao, L.; Kinney, B.; Yoo, H.s.; Lee, B.; Schaack, J.; Shao, J. Adiponectin increases skeletal muscle mitochondrial biogenesis by suppressing mitogen-activated protein kinase phosphatase-1. Diabetes 2012, 61, 1463–1470. [Google Scholar] [CrossRef]
  141. Abou-Samra, M.; Selvais, C.M.; Dubuisson, N.; Brichard, S.M. Adiponectin and its mimics on skeletal muscle: Insulin sensitizers, fat burners, exercise mimickers, muscling pills… or everything together? Int. J. Mol. Sci. 2020, 21, 2620. [Google Scholar] [CrossRef] [PubMed]
  142. Yamauchi, T.; Kamon, J.; Minokoshi, Y.; Ito, Y.; Waki, H.; Uchida, S.; Yamashita, S.; Noda, M.; Kita, S.; Ueki, K.; et al. Adiponectin stimulates glucose utilization and fatty-acid oxidation by activating AMP-activated protein kinase. Nat. Med. 2002, 8, 1288–1295. [Google Scholar] [CrossRef]
  143. Lee, Y.-h.; Magkos, F.; Mantzoros, C.S.; Kang, E.S. Effects of leptin and adiponectin on pancreatic β-cell function. Metabolism 2011, 60, 1664–1672. [Google Scholar] [CrossRef] [PubMed]
  144. Hosogai, N.; Fukuhara, A.; Oshima, K.; Miyata, Y.; Tanaka, S.; Segawa, K.; Furukawa, S.; Tochino, Y.; Komuro, R.; Matsuda, M.; et al. Adipose tissue hypoxia in obesity and its impact on adipocytokine dysregulation. Diabetes 2007, 56, 901–911. [Google Scholar] [CrossRef] [PubMed]
  145. Ryo, M.; Nakamura, T.; Kihara, S.; Kumada, M.; Shibazaki, S.; Takahashi, M.; Nagai, M.; Matsuzawa, Y.; Funahashi, T. Adiponectin as a biomarker of the metabolic syndrome. Circ. J. 2004, 68, 975–981. [Google Scholar] [CrossRef] [PubMed]
  146. Ohashi, K.; Ouchi, N.; Matsuzawa, Y. Anti-inflammatory and anti-atherogenic properties of adiponectin. Biochimie 2012, 94, 2137–2142. [Google Scholar] [CrossRef] [PubMed]
  147. Hotamisligil, G.S.; Shargill, N.S.; Spiegelman, B.M. Adipose expression of tumor necrosis factor-alpha: Direct role in obesity-linked insulin resistance. Science 1993, 259, 87–91. [Google Scholar] [CrossRef] [PubMed]
  148. Lee, Y.-H.; Pratley, R.E. The evolving role of inflammation in obesity and the metabolic syndrome. Curr. Diab. Rep. 2005, 5, 70–75. [Google Scholar] [CrossRef] [PubMed]
  149. Fantuzzi, G. Adipose tissue, adipokines, and inflammation. J. Allergy Clin. Immunol. 2005, 115, 911–919. [Google Scholar] [CrossRef]
  150. Uysal, K.T.; Wiesbrock, S.M.; Marino, M.W.; Hotamisligil, G.S. Protection from obesity-induced insulin resistance in mice lacking TNF-alpha function. Nature 1997, 389, 610–614. [Google Scholar] [CrossRef]
  151. Al-Mansoori, L.; Al-Jaber, H.; Prince, M.S.; Elrayess, M.A. Role of inflammatory cytokines, growth factors and adipokines in adipogenesis and insulin resistance. Inflammation 2022, 45, 31–44. [Google Scholar] [CrossRef]
  152. Zaidi, H.; Aksnes, T.; Åkra, S.; Eggesbø, H.B.; Byrkjeland, R.; Seljeflot, I.; Opstad, T.B. Abdominal adipose tissue associates with adiponectin and TNFα in middle-aged healthy men. Front. Endocrinol. 2022, 13, 874977. [Google Scholar] [CrossRef] [PubMed]
  153. Alipourfard, I.; Datukishvili, N.; Mikeladze, D. TNF-α downregulation modifies insulin receptor substrate 1 (IRS-1) in metabolic signaling of diabetic insulin-resistant hepatocytes. Mediat. Inflamm. 2019, 2019, 3560819. [Google Scholar] [CrossRef] [PubMed]
  154. Mishima, Y.; Kuyama, A.; Tada, A.; Takahashi, K.; Ishioka, T.; Kibata, M. Relationship between serum tumor necrosis factor-alpha and insulin resistance in obese men with Type 2 diabetes mellitus. Diabetes Res. Clin. Pract. 2001, 52, 119–123. [Google Scholar] [CrossRef] [PubMed]
  155. Saghizadeh, M.; Ong, J.M.; Garvey, W.T.; Henry, R.R.; Kern, P.A. The expression of TNF alpha by human muscle. Relationship to insulin resistance. J. Clin. Investig. 1996, 97, 1111–1116. [Google Scholar] [CrossRef] [PubMed]
  156. Bruce, C.R.; Dyck, D.J. Cytokine regulation of skeletal muscle fatty acid metabolism: Effect of interleukin-6 and tumor necrosis factor-alpha. Am. J. Physiol. Endocrinol. Metab. 2004, 287, E616–E621. [Google Scholar] [CrossRef]
  157. Salles, J.; Tardif, N.; Landrier, J.-F.; Mothe-Satney, I.; Guillet, C.; Boue-Vaysse, C.; Combaret, L.; Giraudet, C.; Patrac, V.; Bertrand-Michel, J. TNFα gene knockout differentially affects lipid deposition in liver and skeletal muscle of high-fat-diet mice. J. Nutr. Biochem. 2012, 23, 1685–1693. [Google Scholar] [CrossRef]
  158. Borst, S.E.; Conover, C.F. High-fat diet induces increased tissue expression of TNF-α. Life Sci. 2005, 77, 2156–2165. [Google Scholar] [CrossRef] [PubMed]
  159. Babaei, P.; Hoseini, R. Exercise training modulates adipokine dysregulations in metabolic syndrome. Sports Med. Health Sci. 2022, 4, 18–28. [Google Scholar] [CrossRef]
  160. Raschke, S.; Eckardt, K.; Bjørklund Holven, K.; Jensen, J.; Eckel, J. Identification and validation of novel contraction-regulated myokines released from primary human skeletal muscle cells. PLoS ONE 2013, 8, e62008. [Google Scholar] [CrossRef]
  161. Vozarova, B.; Weyer, C.; Hanson, K.; Tataranni, P.A.; Bogardus, C.; Pratley, R.E. Circulating interleukin-6 in relation to adiposity, insulin action, and insulin secretion. Obes. Res. 2001, 9, 414–417. [Google Scholar] [CrossRef]
  162. Hansen, D.; Dendale, P.; Beelen, M.; Jonkers, R.A.; Mullens, A.; Corluy, L.; Meeusen, R.; van Loon, L.J. Plasma adipokine and inflammatory marker concentrations are altered in obese, as opposed to non-obese, type 2 diabetes patients. Eur. J. Appl. Physiol. 2010, 109, 397–404. [Google Scholar] [CrossRef] [PubMed]
  163. Moschen, A.R.; Molnar, C.; Geiger, S.; Graziadei, I.; Ebenbichler, C.F.; Weiss, H.; Kaser, S.; Kaser, A.; Tilg, H. Anti-inflammatory effects of excessive weight loss: Potent suppression of adipose interleukin 6 and tumour necrosis factor alpha expression. Gut 2010, 59, 1259–1264. [Google Scholar] [CrossRef] [PubMed]
  164. Fried, S.K.; Bunkin, D.A.; Greenberg, A.S. Omental and subcutaneous adipose tissues of obese subjects release interleukin-6: Depot difference and regulation by glucocorticoid. J. Clin. Endocrinol. Metab. 1998, 83, 847–850. [Google Scholar] [CrossRef]
  165. Fontana, L.; Eagon, J.C.; Trujillo, M.E.; Scherer, P.E.; Klein, S. Visceral fat adipokine secretion is associated with systemic inflammation in obese humans. Diabetes 2007, 56, 1010–1013. [Google Scholar] [CrossRef]
  166. Lagathu, C.; Bastard, J.-P.; Auclair, M.; Maachi, M.; Capeau, J.; Caron, M. Chronic interleukin-6 (IL-6) treatment increased IL-6 secretion and induced insulin resistance in adipocyte: Prevention by rosiglitazone. Biochem. Biophys. Res. Commun. 2003, 311, 372–379. [Google Scholar] [CrossRef] [PubMed]
  167. Rotter, V.; Nagaev, I.; Smith, U. Interleukin-6 (IL-6) induces insulin resistance in 3T3-L1 adipocytes and is, like IL-8 and tumor necrosis factor-alpha, overexpressed in human fat cells from insulin-resistant subjects. J. Biol. Chem. 2003, 278, 45777–45784. [Google Scholar] [CrossRef] [PubMed]
  168. Alapatt, P.; Guo, F.; Komanetsky, S.M.; Wang, S.; Cai, J.; Sargsyan, A.; Díaz, E.R.; Bacon, B.T.; Aryal, P.; Graham, T.E. Liver retinol transporter and receptor for serum retinol-binding protein (RBP4). J. Biol. Chem. 2013, 288, 1250–1265. [Google Scholar] [CrossRef] [PubMed]
  169. Janke, J.; Engeli, S.; Boschmann, M.; Adams, F.; Bohnke, J.; Luft, F.C.; Sharma, A.M.; Jordan, J. Retinol-binding protein 4 in human obesity. Diabetes 2006, 55, 2805–2810. [Google Scholar] [CrossRef] [PubMed]
  170. Broch, M.; Ramírez, R.; Auguet, M.T.; Alcaide, M.J.; Aguilar, C.; Garcia-Espana, A.; Richart, C. Macrophages are novel sites of expression and regulation of retinol binding protein-4 (RBP4). Physiol. Res. 2010, 59, 299–303. [Google Scholar] [CrossRef] [PubMed]
  171. Yang, Q.; Graham, T.E.; Mody, N.; Preitner, F.; Peroni, O.D.; Zabolotny, J.M.; Kotani, K.; Quadro, L.; Kahn, B.B. Serum retinol binding protein 4 contributes to insulin resistance in obesity and type 2 diabetes. Nature 2005, 436, 356–362. [Google Scholar] [CrossRef] [PubMed]
  172. Klöting, N.; Graham, T.E.; Berndt, J.; Kralisch, S.; Kovacs, P.; Wason, C.J.; Fasshauer, M.; Schön, M.R.; Stumvoll, M.; Blüher, M. Serum retinol-binding protein is more highly expressed in visceral than in subcutaneous adipose tissue and is a marker of intra-abdominal fat mass. Cell Metab. 2007, 6, 79–87. [Google Scholar] [CrossRef] [PubMed]
  173. Cho, Y.M.; Youn, B.-S.; Lee, H.; Lee, N.; Min, S.-S.; Kwak, S.H.; Lee, H.K.; Park, K.S. Plasma retinol-binding protein-4 concentrations are elevated in human subjects with impaired glucose tolerance and type 2 diabetes. Diabetes Care 2006, 29, 2457–2461. [Google Scholar] [CrossRef] [PubMed]
  174. Oh, K.-J.; Lee, D.S.; Kim, W.K.; Han, B.S.; Lee, S.C.; Bae, K.-H. Metabolic adaptation in obesity and type II diabetes: Myokines, adipokines and hepatokines. Int. J. Mol. Sci. 2016, 18, 8. [Google Scholar] [CrossRef] [PubMed]
  175. Speakman, J.R.; Mitchell, S.E. Caloric restriction. Mol. Asp. Med. 2011, 32, 159–221. [Google Scholar] [CrossRef]
  176. Bastard, J.P.; Jardel, C.; Bruckert, E.; Blondy, P.; Capeau, J.; Laville, M.; Vidal, H.; Hainque, B. Elevated levels of interleukin 6 are reduced in serum and subcutaneous adipose tissue of obese women after weight loss. J. Clin. Endocrinol. Metab. 2000, 85, 3338–3342. [Google Scholar] [CrossRef]
  177. Hermsdorff, H.H.; Zulet, M.A.; Abete, I.; Martinez, J.A. Discriminated benefits of a Mediterranean dietary pattern within a hypocaloric diet program on plasma RBP4 concentrations and other inflammatory markers in obese subjects. Endocrine 2009, 36, 445–451. [Google Scholar] [CrossRef]
  178. Choi, K.M.; Han, K.A.; Ahn, H.J.; Lee, S.Y.; Hwang, S.Y.; Kim, B.H.; Hong, H.C.; Choi, H.Y.; Yang, S.J.; Yoo, H.J.; et al. The effects of caloric restriction on fetuin-A and cardiovascular risk factors in rats and humans: A randomized controlled trial. Clin. Endocrinol. 2013, 79, 356–363. [Google Scholar] [CrossRef]
  179. Wanders, D.; Forney, L.A.; Stone, K.P.; Burk, D.H.; Pierse, A.; Gettys, T.W. FGF21 Mediates the Thermogenic and Insulin-Sensitizing Effects of Dietary Methionine Restriction but Not Its Effects on Hepatic Lipid Metabolism. Diabetes 2017, 66, 858–867. [Google Scholar] [CrossRef]
  180. Sharma, S.; Dixon, T.; Jung, S.; Graff, E.C.; Forney, L.A.; Gettys, T.W.; Wanders, D. Dietary Methionine Restriction Reduces Inflammation Independent of FGF21 Action. Obesity 2019, 27, 1305–1313. [Google Scholar] [CrossRef]
  181. Perez-Marti, A.; Garcia-Guasch, M.; Tresserra-Rimbau, A.; Carrilho-Do-Rosario, A.; Estruch, R.; Salas-Salvado, J.; Martinez-Gonzalez, M.A.; Lamuela-Raventos, R.; Marrero, P.F.; Haro, D.; et al. A low-protein diet induces body weight loss and browning of subcutaneous white adipose tissue through enhanced expression of hepatic fibroblast growth factor 21 (FGF21). Mol. Nutr. Food Res. 2017, 61, 1600725. [Google Scholar] [CrossRef] [PubMed]
  182. Guo, F.; Cavener, D.R. The GCN2 eIF2alpha kinase regulates fatty-acid homeostasis in the liver during deprivation of an essential amino acid. Cell Metab. 2007, 5, 103–114. [Google Scholar] [CrossRef] [PubMed]
  183. Zhang, P.; McGrath, B.C.; Reinert, J.; Olsen, D.S.; Lei, L.; Gill, S.; Wek, S.A.; Vattem, K.M.; Wek, R.C.; Kimball, S.R.; et al. The GCN2 eIF2alpha kinase is required for adaptation to amino acid deprivation in mice. Mol. Cell. Biol. 2002, 22, 6681–6688. [Google Scholar] [CrossRef] [PubMed]
  184. Kitada, M.; Ogura, Y.; Monno, I.; Xu, J.; Koya, D. Effect of Methionine Restriction on Aging: Its Relationship to Oxidative Stress. Biomedicines 2021, 9, 130. [Google Scholar] [CrossRef] [PubMed]
  185. Roy, D.G.; Chen, J.; Mamane, V.; Ma, E.H.; Muhire, B.M.; Sheldon, R.D.; Shorstova, T.; Koning, R.; Johnson, R.M.; Esaulova, E.; et al. Methionine Metabolism Shapes T Helper Cell Responses through Regulation of Epigenetic Reprogramming. Cell Metab. 2020, 31, 250–266.e259. [Google Scholar] [CrossRef] [PubMed]
  186. Sinclair, L.V.; Howden, A.J.; Brenes, A.; Spinelli, L.; Hukelmann, J.L.; Macintyre, A.N.; Liu, X.; Thomson, S.; Taylor, P.M.; Rathmell, J.C.; et al. Antigen receptor control of methionine metabolism in T cells. eLife 2019, 8, e44210. [Google Scholar] [CrossRef]
  187. Ji, M.; Xu, X.; Xu, Q.; Hsiao, Y.C.; Martin, C.; Ukraintseva, S.; Popov, V.; Arbeev, K.G.; Randall, T.A.; Wu, X.; et al. Methionine restriction-induced sulfur deficiency impairs antitumour immunity partially through gut microbiota. Nat. Metab. 2023, 1–18. [Google Scholar] [CrossRef]
  188. Townsend, K.L.; An, D.; Lynes, M.D.; Huang, T.L.; Zhang, H.; Goodyear, L.J.; Tseng, Y.H. Increased mitochondrial activity in BMP7-treated brown adipocytes, due to increased CPT1- and CD36-mediated fatty acid uptake. Antioxid. Redox Signal. 2013, 19, 243–257. [Google Scholar] [CrossRef]
  189. Lee, I.S.; Shin, G.; Choue, R. A 12-week regimen of caloric restriction improves levels of adipokines and pro-inflammatory cytokines in Korean women with BMIs greater than 23 kg/m2. Inflamm. Res. 2010, 59, 399–405. [Google Scholar] [CrossRef]
  190. Viguerie, N.; Poitou, C.; Cancello, R.; Stich, V.; Clement, K.; Langin, D. Transcriptomics applied to obesity and caloric restriction. Biochimie 2005, 87, 117–123. [Google Scholar] [CrossRef]
  191. Ahmed, T.; Das, S.K.; Golden, J.K.; Saltzman, E.; Roberts, S.B.; Meydani, S.N. Calorie restriction enhances T-cell-mediated immune response in adult overweight men and women. J. Gerontol. A Biol. Sci. Med. Sci. 2009, 64, 1107–1113. [Google Scholar] [CrossRef]
  192. Fontana, L.; Villareal, D.T.; Weiss, E.P.; Racette, S.B.; Steger-May, K.; Klein, S.; Holloszy, J.O.; Washington University School of Medicine, C.G. Calorie restriction or exercise: Effects on coronary heart disease risk factors. A randomized, controlled trial. Am. J. Physiol. Endocrinol. Metab. 2007, 293, E197–E202. [Google Scholar] [CrossRef] [PubMed]
  193. Liu, B.; Page, A.J.; Hatzinikolas, G.; Chen, M.; Wittert, G.A.; Heilbronn, L.K. Intermittent Fasting Improves Glucose Tolerance and Promotes Adipose Tissue Remodeling in Male Mice Fed a High-Fat Diet. Endocrinology 2019, 160, 169–180. [Google Scholar] [CrossRef] [PubMed]
  194. Singh, H.; Kaur, T.; Manchanda, S.; Kaur, G. Intermittent fasting combined with supplementation with Ayurvedic herbs reduces anxiety in middle aged female rats by anti-inflammatory pathways. Biogerontology 2017, 18, 601–614. [Google Scholar] [CrossRef] [PubMed]
  195. Vasconcelos, A.R.; Yshii, L.M.; Viel, T.A.; Buck, H.S.; Mattson, M.P.; Scavone, C.; Kawamoto, E.M. Intermittent fasting attenuates lipopolysaccharide-induced neuroinflammation and memory impairment. J. Neuroinflam. 2014, 11, 85. [Google Scholar] [CrossRef]
  196. Choi, H.M.; Doss, H.M.; Kim, K.S. Multifaceted Physiological Roles of Adiponectin in Inflammation and Diseases. Int. J. Mol. Sci. 2020, 21, 1219. [Google Scholar] [CrossRef]
  197. Fabbiano, S.; Suarez-Zamorano, N.; Rigo, D.; Veyrat-Durebex, C.; Stevanovic Dokic, A.; Colin, D.J.; Trajkovski, M. Caloric Restriction Leads to Browning of White Adipose Tissue through Type 2 Immune Signaling. Cell Metab. 2016, 24, 434–446. [Google Scholar] [CrossRef]
  198. Kumari, M.; Heeren, J.; Scheja, L. Regulation of immunometabolism in adipose tissue. Semin. Immunopathol. 2018, 40, 189–202. [Google Scholar] [CrossRef]
  199. Dabek, A.; Wojtala, M.; Pirola, L.; Balcerczyk, A. Modulation of Cellular Biochemistry, Epigenetics and Metabolomics by Ketone Bodies. Implications of the Ketogenic Diet in the Physiology of the Organism and Pathological States. Nutrients 2020, 12, 788. [Google Scholar] [CrossRef]
  200. Youm, Y.H.; Nguyen, K.Y.; Grant, R.W.; Goldberg, E.L.; Bodogai, M.; Kim, D.; D′Agostino, D.; Planavsky, N.; Lupfer, C.; Kanneganti, T.D.; et al. The ketone metabolite beta-hydroxybutyrate blocks NLRP3 inflammasome-mediated inflammatory disease. Nat. Med. 2015, 21, 263–269. [Google Scholar] [CrossRef]
  201. Plaisance, E.P.; Greenway, F.L.; Boudreau, A.; Hill, K.L.; Johnson, W.D.; Krajcik, R.A.; Perrone, C.E.; Orentreich, N.; Cefalu, W.T.; Gettys, T.W. Dietary methionine restriction increases fat oxidation in obese adults with metabolic syndrome. J. Clin. Endocrinol. Metab. 2011, 96, E836–E840. [Google Scholar] [CrossRef] [PubMed]
  202. Ingram, D.K.; de Cabo, R. Calorie restriction in rodents: Caveats to consider. Ageing Res. Rev. 2017, 39, 15–28. [Google Scholar] [CrossRef] [PubMed]
  203. Weickert, M.O.; Pfeiffer, A.F.H. Impact of Dietary Fiber Consumption on Insulin Resistance and the Prevention of Type 2 Diabetes. J. Nutr. 2018, 148, 7–12. [Google Scholar] [CrossRef]
  204. Cho, S.S.; Qi, L.; Fahey, G.C., Jr.; Klurfeld, D.M. Consumption of cereal fiber, mixtures of whole grains and bran, and whole grains and risk reduction in type 2 diabetes, obesity, and cardiovascular disease. Am. J. Clin. Nutr. 2013, 98, 594–619. [Google Scholar] [CrossRef] [PubMed]
  205. Wong, J.M.; de Souza, R.; Kendall, C.W.; Emam, A.; Jenkins, D.J. Colonic health: Fermentation and short chain fatty acids. J. Clin. Gastroenterol. 2006, 40, 235–243. [Google Scholar] [CrossRef]
  206. Canfora, E.E.; Meex, R.C.R.; Venema, K.; Blaak, E.E. Gut microbial metabolites in obesity, NAFLD and T2DM. Nat. Rev. Endocrinol. 2019, 15, 261–273. [Google Scholar] [CrossRef]
  207. Kondo, T.; Kishi, M.; Fushimi, T.; Ugajin, S.; Kaga, T. Vinegar intake reduces body weight, body fat mass, and serum triglyceride levels in obese Japanese subjects. Biosci. Biotechnol. Biochem. 2009, 73, 1837–1843. [Google Scholar] [CrossRef]
  208. Chambers, E.S.; Viardot, A.; Psichas, A.; Morrison, D.J.; Murphy, K.G.; Zac-Varghese, S.E.; MacDougall, K.; Preston, T.; Tedford, C.; Finlayson, G.S.; et al. Effects of targeted delivery of propionate to the human colon on appetite regulation, body weight maintenance and adiposity in overweight adults. Gut 2015, 64, 1744–1754. [Google Scholar] [CrossRef]
  209. Xiong, Y.; Miyamoto, N.; Shibata, K.; Valasek, M.A.; Motoike, T.; Kedzierski, R.M.; Yanagisawa, M. Short-chain fatty acids stimulate leptin production in adipocytes through the G protein-coupled receptor GPR41. Proc. Natl. Acad. Sci. USA 2004, 101, 1045–1050. [Google Scholar] [CrossRef]
  210. Al-Lahham, S.H.; Roelofsen, H.; Priebe, M.; Weening, D.; Dijkstra, M.; Hoek, A.; Rezaee, F.; Venema, K.; Vonk, R.J. Regulation of adipokine production in human adipose tissue by propionic acid. Eur. J. Clin. Investig. 2010, 40, 401–407. [Google Scholar] [CrossRef]
  211. Ohira, H.; Fujioka, Y.; Katagiri, C.; Mamoto, R.; Aoyama-Ishikawa, M.; Amako, K.; Izumi, Y.; Nishiumi, S.; Yoshida, M.; Usami, M.; et al. Butyrate attenuates inflammation and lipolysis generated by the interaction of adipocytes and macrophages. J. Atheroscler. Thromb. 2013, 20, 425–442. [Google Scholar] [CrossRef] [PubMed]
  212. Al-Lahham, S.; Roelofsen, H.; Rezaee, F.; Weening, D.; Hoek, A.; Vonk, R.; Venema, K. Propionic acid affects immune status and metabolism in adipose tissue from overweight subjects. Eur. J. Clin. Investig. 2012, 42, 357–364. [Google Scholar] [CrossRef] [PubMed]
  213. Caesar, R.; Tremaroli, V.; Kovatcheva-Datchary, P.; Cani, P.D.; Backhed, F. Crosstalk between Gut Microbiota and Dietary Lipids Aggravates WAT Inflammation through TLR Signaling. Cell Metab. 2015, 22, 658–668. [Google Scholar] [CrossRef] [PubMed]
  214. Haneishi, Y.; Furuya, Y.; Hasegawa, M.; Takemae, H.; Tanioka, Y.; Mizutani, T.; Rossi, M.; Miyamoto, J. Polyunsaturated fatty acids-rich dietary lipid prevents high fat diet-induced obesity in mice. Sci. Rep. 2023, 13, 5556. [Google Scholar] [CrossRef] [PubMed]
  215. Flachs, P.; Rossmeisl, M.; Kopecky, J. The effect of n-3 fatty acids on glucose homeostasis and insulin sensitivity. Physiol. Res. 2014, 63, S93–S118. [Google Scholar] [CrossRef]
  216. Sadurskis, A.; Dicker, A.; Cannon, B.; Nedergaard, J. Polyunsaturated fatty acids recruit brown adipose tissue: Increased UCP content and NST capacity. Am. J. Physiol. 1995, 269, E351–E360. [Google Scholar] [CrossRef]
  217. Takahashi, Y.; Ide, T. Dietary n-3 fatty acids affect mRNA level of brown adipose tissue uncoupling protein 1, and white adipose tissue leptin and glucose transporter 4 in the rat. Br. J. Nutr. 2000, 84, 175–184. [Google Scholar] [CrossRef]
  218. Flachs, P.; Ruhl, R.; Hensler, M.; Janovska, P.; Zouhar, P.; Kus, V.; Macek Jilkova, Z.; Papp, E.; Kuda, O.; Svobodova, M.; et al. Synergistic induction of lipid catabolism and anti-inflammatory lipids in white fat of dietary obese mice in response to calorie restriction and n-3 fatty acids. Diabetologia 2011, 54, 2626–2638. [Google Scholar] [CrossRef]
  219. Villarroya, J.; Flachs, P.; Redondo-Angulo, I.; Giralt, M.; Medrikova, D.; Villarroya, F.; Kopecky, J.; Planavila, A. Fibroblast growth factor-21 and the beneficial effects of long-chain n-3 polyunsaturated fatty acids. Lipids 2014, 49, 1081–1089. [Google Scholar] [CrossRef]
  220. Ansari, S.; Djalali, M.; Mohammadzadeh Honarvar, N.; Mazaherioun, M.; Zarei, M.; Agh, F.; Gholampour, Z.; Javanbakht, M.H. The Effect of n-3 Polyunsaturated Fatty Acids Supplementation on Serum Irisin in Patients with Type 2 Diabetes: A Randomized, Double-Blind, Placebo-Controlled Trial. Int. J. Endocrinol. Metab. 2017, 15, e40614. [Google Scholar] [CrossRef]
  221. Quesada-Lopez, T.; Cereijo, R.; Turatsinze, J.V.; Planavila, A.; Cairo, M.; Gavalda-Navarro, A.; Peyrou, M.; Moure, R.; Iglesias, R.; Giralt, M.; et al. The lipid sensor GPR120 promotes brown fat activation and FGF21 release from adipocytes. Nat. Commun. 2016, 7, 13479. [Google Scholar] [CrossRef]
  222. Oh, D.Y.; Talukdar, S.; Bae, E.J.; Imamura, T.; Morinaga, H.; Fan, W.; Li, P.; Lu, W.J.; Watkins, S.M.; Olefsky, J.M. GPR120 is an omega-3 fatty acid receptor mediating potent anti-inflammatory and insulin-sensitizing effects. Cell 2010, 142, 687–698. [Google Scholar] [CrossRef] [PubMed]
  223. Zhao, J.; Zou, H.; Huo, Y.; Wei, X.; Li, Y. Emerging roles of selenium on metabolism and type 2 diabetes. Front. Nutr. 2022, 9, 1027629. [Google Scholar] [CrossRef] [PubMed]
  224. Mita, Y.; Nakayama, K.; Inari, S.; Nishito, Y.; Yoshioka, Y.; Sakai, N.; Sotani, K.; Nagamura, T.; Kuzuhara, Y.; Inagaki, K.; et al. Selenoprotein P-neutralizing antibodies improve insulin secretion and glucose sensitivity in type 2 diabetes mouse models. Nat. Commun. 2017, 8, 1658. [Google Scholar] [CrossRef] [PubMed]
  225. Ogawa-Wong, A.N.; Berry, M.J.; Seale, L.A. Selenium and Metabolic Disorders: An Emphasis on Type 2 Diabetes Risk. Nutrients 2016, 8, 80. [Google Scholar] [CrossRef]
  226. Plummer, J.D.; Postnikoff, S.D.; Tyler, J.K.; Johnson, J.E. Selenium supplementation inhibits IGF-1 signaling and confers methionine restriction-like healthspan benefits to mice. eLife 2021, 10, e62483. [Google Scholar] [CrossRef]
  227. Wimalawansa, S.J. Associations of vitamin D with insulin resistance, obesity, type 2 diabetes, and metabolic syndrome. J. Steroid Biochem. Mol. Biol. 2018, 175, 177–189. [Google Scholar] [CrossRef]
  228. Szymczak-Pajor, I.; Sliwinska, A. Analysis of Association between Vitamin D Deficiency and Insulin Resistance. Nutrients 2019, 11, 794. [Google Scholar] [CrossRef]
  229. Wang, H.; Chen, W.; Li, D.; Yin, X.; Zhang, X.; Olsen, N.; Zheng, S.G. Vitamin D and Chronic Diseases. Aging Dis. 2017, 8, 346–353. [Google Scholar] [CrossRef]
  230. Pilz, S.; Kienreich, K.; Rutters, F.; de Jongh, R.; van Ballegooijen, A.J.; Grubler, M.; Tomaschitz, A.; Dekker, J.M. Role of vitamin D in the development of insulin resistance and type 2 diabetes. Curr. Diabetes Rep. 2013, 13, 261–270. [Google Scholar] [CrossRef]
  231. Nadimi, H.; Djazayery, A.; Javanbakht, M.H.; Dehpour, A.; Ghaedi, E.; Derakhshanian, H.; Mohammadi, H.; Zarei, M.; Djalali, M. The Effect of Vitamin D Supplementation on Serum and Muscle Irisin Levels, and FNDC5 Expression in Diabetic Rats. Rep. Biochem. Mol. Biol. 2019, 8, 236–243. [Google Scholar]
  232. Sanesi, L.; Dicarlo, M.; Pignataro, P.; Zerlotin, R.; Pugliese, F.; Columbu, C.; Carnevale, V.; Tunnera, S.; Scillitani, A.; Grano, M.; et al. Vitamin D Increases Irisin Serum Levels and the Expression of Its Precursor in Skeletal Muscle. Int. J. Mol. Sci. 2023, 24, 4129. [Google Scholar] [CrossRef] [PubMed]
  233. Zittermann, A.; Schleithoff, S.S.; Koerfer, R. Putting cardiovascular disease and vitamin D insufficiency into perspective. Br. J. Nutr. 2005, 94, 483–492. [Google Scholar] [CrossRef]
  234. Krishnan, A.V.; Feldman, D. Mechanisms of the anti-cancer and anti-inflammatory actions of vitamin D. Annu. Rev. Pharmacol. Toxicol. 2011, 51, 311–336. [Google Scholar] [CrossRef]
  235. Chen, J.; Tang, Z.; Slominski, A.T.; Li, W.; Zmijewski, M.A.; Liu, Y.; Chen, J. Vitamin D and its analogs as anticancer and anti-inflammatory agents. Eur. J. Med. Chem. 2020, 207, 112738. [Google Scholar] [CrossRef]
  236. Neyestani, T.R.; Nikooyeh, B.; Alavi-Majd, H.; Shariatzadeh, N.; Kalayi, A.; Tayebinejad, N.; Heravifard, S.; Salekzamani, S.; Zahedirad, M. Improvement of vitamin D status via daily intake of fortified yogurt drink either with or without extra calcium ameliorates systemic inflammatory biomarkers, including adipokines, in the subjects with type 2 diabetes. J. Clin. Endocrinol. Metab. 2012, 97, 2005–2011. [Google Scholar] [CrossRef] [PubMed]
  237. Chagas, C.E.; Borges, M.C.; Martini, L.A.; Rogero, M.M. Focus on vitamin D, inflammation and type 2 diabetes. Nutrients 2012, 4, 52–67. [Google Scholar] [CrossRef]
  238. Nimitphong, H.; Guo, W.; Holick, M.F.; Fried, S.K.; Lee, M.J. Vitamin D Inhibits Adipokine Production and Inflammatory Signaling Through the Vitamin D Receptor in Human Adipocytes. Obesity 2021, 29, 562–568. [Google Scholar] [CrossRef] [PubMed]
  239. Bonet, M.L.; Ribot, J.; Palou, A. Lipid metabolism in mammalian tissues and its control by retinoic acid. Biochim. Biophys. Acta 2012, 1821, 177–189. [Google Scholar] [CrossRef] [PubMed]
  240. Bonet, M.L.; Canas, J.A.; Ribot, J.; Palou, A. Carotenoids and their conversion products in the control of adipocyte function, adiposity and obesity. Arch. Biochem. Biophys. 2015, 572, 112–125. [Google Scholar] [CrossRef]
  241. Bonet, M.L.; Ribot, J.; Felipe, F.; Palou, A. Vitamin A and the regulation of fat reserves. Cell. Mol. Life Sci. 2003, 60, 1311–1321. [Google Scholar] [CrossRef]
  242. Amengual, J.; Ribot, J.; Bonet, M.L.; Palou, A. Retinoic acid treatment enhances lipid oxidation and inhibits lipid biosynthesis capacities in the liver of mice. Cell. Physiol. Biochem. 2010, 25, 657–666. [Google Scholar] [CrossRef]
  243. Hollung, K.; Rise, C.P.; Drevon, C.A.; Reseland, J.E. Tissue-specific regulation of leptin expression and secretion by all-trans retinoic acid. J. Cell. Biochem. 2004, 92, 307–315. [Google Scholar] [CrossRef]
  244. Felipe, F.; Mercader, J.; Ribot, J.; Palou, A.; Bonet, M.L. Effects of retinoic acid administration and dietary vitamin A supplementation on leptin expression in mice: Lack of correlation with changes of adipose tissue mass and food intake. Biochim. Biophys. Acta 2005, 1740, 258–265. [Google Scholar] [CrossRef] [PubMed]
  245. Felipe, F.; Bonet, M.L.; Ribot, J.; Palou, A. Modulation of resistin expression by retinoic acid and vitamin A status. Diabetes 2004, 53, 882–889. [Google Scholar] [CrossRef]
  246. Mercader, J.; Granados, N.; Bonet, M.L.; Palou, A. All-trans retinoic acid decreases murine adipose retinol binding protein 4 production. Cell. Physiol. Biochem. 2008, 22, 363–372. [Google Scholar] [CrossRef] [PubMed]
  247. Amengual, J.; Garcia-Carrizo, F.J.; Arreguin, A.; Musinovic, H.; Granados, N.; Palou, A.; Bonet, M.L.; Ribot, J. Retinoic Acid Increases Fatty Acid Oxidation and Irisin Expression in Skeletal Muscle Cells and Impacts Irisin In Vivo. Cell. Physiol. Biochem. 2018, 46, 187–202. [Google Scholar] [CrossRef]
  248. Cho, S.O.; Kim, M.H.; Kim, H. beta-Carotene Inhibits Activation of NF-kappaB, Activator Protein-1, and STAT3 and Regulates Abnormal Expression of Some Adipokines in 3T3-L1 Adipocytes. J. Cancer Prev. 2018, 23, 37–43. [Google Scholar] [CrossRef]
  249. Gouranton, E.; Thabuis, C.; Riollet, C.; Malezet-Desmoulins, C.; El Yazidi, C.; Amiot, M.J.; Borel, P.; Landrier, J.F. Lycopene inhibits proinflammatory cytokine and chemokine expression in adipose tissue. J. Nutr. Biochem. 2011, 22, 642–648. [Google Scholar] [CrossRef]
  250. Gouranton, E.; Aydemir, G.; Reynaud, E.; Marcotorchino, J.; Malezet, C.; Caris-Veyrat, C.; Blomhoff, R.; Landrier, J.F.; Ruhl, R. Apo-10′-lycopenoic acid impacts adipose tissue biology via the retinoic acid receptors. Biochim. Biophys. Acta 2011, 1811, 1105–1114. [Google Scholar] [CrossRef] [PubMed]
  251. Mohri, S.; Takahashi, H.; Sakai, M.; Waki, N.; Takahashi, S.; Aizawa, K.; Suganuma, H.; Ara, T.; Sugawara, T.; Shibata, D.; et al. Integration of bioassay and non-target metabolite analysis of tomato reveals that beta-carotene and lycopene activate the adiponectin signaling pathway, including AMPK phosphorylation. PLoS ONE 2022, 17, e0267248. [Google Scholar] [CrossRef]
  252. Mounien, L.; Tourniaire, F.; Landrier, J.F. Anti-Obesity Effect of Carotenoids: Direct Impact on Adipose Tissue and Adipose Tissue-Driven Indirect Effects. Nutrients 2019, 11, 1562. [Google Scholar] [CrossRef]
  253. Aas, V.; Bakke, S.S.; Feng, Y.Z.; Kase, E.T.; Jensen, J.; Bajpeyi, S.; Thoresen, G.H.; Rustan, A.C. Are cultured human myotubes far from home? Cell Tissue Res. 2013, 354, 671–682. [Google Scholar] [CrossRef]
  254. Allen, L.H.; Miller, J.W.; de Groot, L.; Rosenberg, I.H.; Smith, A.D.; Refsum, H.; Raiten, D.J. Biomarkers of Nutrition for Development (BOND): Vitamin B-12 Review. J. Nutr. 2018, 148, 1995S–2027S. [Google Scholar] [CrossRef]
  255. Verhoef, P.; Stampfer, M.J.; Buring, J.E.; Gaziano, J.M.; Allen, R.H.; Stabler, S.P.; Reynolds, R.D.; Kok, F.J.; Hennekens, C.H.; Willett, W.C. Homocysteine metabolism and risk of myocardial infarction: Relation with vitamins B6, B12, and folate. Am. J. Epidemiol. 1996, 143, 845–859. [Google Scholar] [CrossRef]
  256. Kibirige, D.; Mwebaze, R. Vitamin B12 deficiency among patients with diabetes mellitus: Is routine screening and supplementation justified? J. Diabetes Metab. Disord. 2013, 12, 17. [Google Scholar] [CrossRef] [PubMed]
  257. Satapathy, S.; Bandyopadhyay, D.; Patro, B.K.; Khan, S.; Naik, S. Folic acid and vitamin B12 supplementation in subjects with type 2 diabetes mellitus: A multi-arm randomized controlled clinical trial. Complement. Ther. Med. 2020, 53, 102526. [Google Scholar] [CrossRef] [PubMed]
  258. Matsuzawa, Y.; Funahashi, T.; Nakamura, T. Molecular mechanism of metabolic syndrome X: Contribution of adipocytokines adipocyte-derived bioactive substances. Ann. N. Y. Acad. Sci. 1999, 892, 146–154. [Google Scholar] [CrossRef]
  259. Nakamura, K.; Fuster, J.J.; Walsh, K. Adipokines: A link between obesity and cardiovascular disease. J. Cardiol. 2014, 63, 250–259. [Google Scholar] [CrossRef] [PubMed]
  260. Buettner, R.; Bettermann, I.; Hechtl, C.; Gabele, E.; Hellerbrand, C.; Scholmerich, J.; Bollheimer, L.C. Dietary folic acid activates AMPK and improves insulin resistance and hepatic inflammation in dietary rodent models of the metabolic syndrome. Horm. Metab. Res. 2010, 42, 769–774. [Google Scholar] [CrossRef]
  261. Manapurath, R.; Strand, T.A.; Chowdhury, R.; Kvestad, I.; Yajnik, C.S.; Bhandari, N.; Taneja, S. Daily Folic Acid and/or Vitamin B12 Supplementation Between 6 and 30 Months of Age and Cardiometabolic Risk Markers After 6-7 Years: A Follow-Up of a Randomized Controlled Trial. J. Nutr. 2023, 153, 1493–1501. [Google Scholar] [CrossRef]
  262. Myers, J.; Kokkinos, P.; Nyelin, E. Physical activity, cardiorespiratory fitness, and the metabolic syndrome. Nutrients 2019, 11, 1652. [Google Scholar] [CrossRef] [PubMed]
  263. Golbidi, S.; Mesdaghinia, A.; Laher, I. Exercise in the metabolic syndrome. Oxidative Med. Cell. Longev. 2012, 2012, 349710. [Google Scholar] [CrossRef]
  264. Zunner, B.E.; Wachsmuth, N.B.; Eckstein, M.L.; Scherl, L.; Schierbauer, J.R.; Haupt, S.; Stumpf, C.; Reusch, L.; Moser, O. Myokines and resistance training: A narrative review. Int. J. Mol. Sci. 2022, 23, 3501. [Google Scholar] [CrossRef] [PubMed]
  265. Balakrishnan, R.; Thurmond, D.C. Mechanisms by which skeletal muscle myokines ameliorate insulin resistance. Int. J. Mol. Sci. 2022, 23, 4636. [Google Scholar] [CrossRef] [PubMed]
  266. Vanhorebeek, I.; Gunst, J.; Casaer, M.P.; Derese, I.; Derde, S.; Pauwels, L.; Segers, J.; Hermans, G.; Gosselink, R.; Van den Berghe, G. Skeletal muscle myokine expression in critical illness, association with outcome and impact of therapeutic interventions. J. Endocr. Soc. 2023, 7, bvad001. [Google Scholar] [CrossRef] [PubMed]
  267. Neufer, P.D.; Bamman, M.M.; Muoio, D.M.; Bouchard, C.; Cooper, D.M.; Goodpaster, B.H.; Booth, F.W.; Kohrt, W.M.; Gerszten, R.E.; Mattson, M.P. Understanding the cellular and molecular mechanisms of physical activity-induced health benefits. Cell Metab. 2015, 22, 4–11. [Google Scholar] [CrossRef]
  268. Plaza-Diaz, J.; Izquierdo, D.; Torres-Martos, Á.; Baig, A.T.; Aguilera, C.M.; Ruiz-Ojeda, F.J. Impact of physical activity and exercise on the epigenome in skeletal muscle and effects on systemic metabolism. Biomedicines 2022, 10, 126. [Google Scholar] [CrossRef]
  269. Babu, A.F.; Csader, S.; Männistö, V.; Tauriainen, M.-M.; Pentikäinen, H.; Savonen, K.; Klåvus, A.; Koistinen, V.; Hanhineva, K.; Schwab, U. Effects of exercise on NAFLD using non-targeted metabolomics in adipose tissue, plasma, urine, and stool. Sci. Rep. 2022, 12, 6485. [Google Scholar] [CrossRef]
  270. Sellami, M.; Gasmi, M.; Denham, J.; Hayes, L.D.; Stratton, D.; Padulo, J.; Bragazzi, N. Effects of acute and chronic exercise on immunological parameters in the elderly aged: Can physical activity counteract the effects of aging? Front. Immunol. 2018, 9, 2187. [Google Scholar] [CrossRef]
  271. Rabøl, R.; Petersen, K.F.; Dufour, S.; Flannery, C.; Shulman, G.I. Reversal of muscle insulin resistance with exercise reduces postprandial hepatic de novo lipogenesis in insulin resistant individuals. Proc. Natl. Acad. Sci. USA 2011, 108, 13705–13709. [Google Scholar] [CrossRef]
  272. He, Z.; Tian, Y.; Valenzuela, P.L.; Huang, C.; Zhao, J.; Hong, P.; He, Z.; Yin, S.; Lucia, A. Myokine response to high-intensity interval vs. resistance exercise: An individual approach. Front. Physiol. 2018, 9, 1735. [Google Scholar] [CrossRef] [PubMed]
  273. Willis, S.A.; Sargeant, J.A.; Thackray, A.E.; Yates, T.; Stensel, D.J.; Aithal, G.P.; King, J.A. Effect of exercise intensity on circulating hepatokine concentrations in healthy men. Appl. Physiol. Nutr. Metab. 2019, 44, 1065–1072. [Google Scholar] [CrossRef] [PubMed]
  274. JanssenDuijghuijsen, L.M.; Keijer, J.; Mensink, M.; Lenaerts, K.; Ridder, L.; Nierkens, S.; Kartaram, S.W.; Verschuren, M.C.; Pieters, R.H.; Bas, R. Adaptation of exercise-induced stress in well-trained healthy young men. Exp. Physiol. 2017, 102, 86–99. [Google Scholar] [CrossRef]
  275. Morville, T.; Sahl, R.E.; Trammell, S.A.; Svenningsen, J.S.; Gillum, M.P.; Helge, J.W.; Clemmensen, C. Divergent effects of resistance and endurance exercise on plasma bile acids, FGF19, and FGF21 in humans. JCI Insight 2018, 3, e122737. [Google Scholar] [CrossRef]
  276. Hansen, J.S.; Pedersen, B.K.; Xu, G.; Lehmann, R.; Weigert, C.; Plomgaard, P. Exercise-induced secretion of FGF21 and follistatin are blocked by pancreatic clamp and impaired in type 2 diabetes. J. Clin. Endocrinol. Metab. 2016, 101, 2816–2825. [Google Scholar] [CrossRef]
  277. Slusher, A.; Whitehurst, M.; Zoeller, R.; Mock, J.; Maharaj, M.; Huang, C.-J. Attenuated fibroblast growth factor 21 response to acute aerobic exercise in obese individuals. Nutr. Metab. Cardiovasc. Dis. 2015, 25, 839–845. [Google Scholar] [CrossRef]
  278. Henriksen, E.J. Invited review: Effects of acute exercise and exercise training on insulin resistance. J. Appl. Physiol. 2002, 93, 788–796. [Google Scholar] [CrossRef]
  279. Sargeant, J.A.; Aithal, G.P.; Takamura, T.; Misu, H.; Takayama, H.; Douglas, J.A.; Turner, M.C.; Stensel, D.J.; Nimmo, M.A.; Webb, D.R. The influence of adiposity and acute exercise on circulating hepatokines in normal-weight and overweight/obese men. Appl. Physiol. Nutr. Metab. 2018, 43, 482–490. [Google Scholar] [CrossRef] [PubMed]
  280. Bagheri, R.; Rashidlamir, A.; Motevalli, M.S.; Elliott, B.T.; Mehrabani, J.; Wong, A. Effects of upper-body, lower-body, or combined resistance training on the ratio of follistatin and myostatin in middle-aged men. Eur. J. Appl. Physiol. 2019, 119, 1921–1931. [Google Scholar] [CrossRef] [PubMed]
  281. Hofmann, M.; Schober-Halper, B.; Oesen, S.; Franzke, B.; Tschan, H.; Bachl, N.; Strasser, E.-M.; Quittan, M.; Wagner, K.-H.; Wessner, B. Effects of elastic band resistance training and nutritional supplementation on muscle quality and circulating muscle growth and degradation factors of institutionalized elderly women: The Vienna Active Ageing Study (VAAS). Eur. J. Appl. Physiol. 2016, 116, 885–897. [Google Scholar] [CrossRef]
  282. Perakakis, N.; Mougios, V.; Fatouros, I.; Siopi, A.; Draganidis, D.; Peradze, N.; Ghaly, W.; Mantzoros, C.S. Physiology of activins/follistatins: Associations with metabolic and anthropometric variables and response to exercise. J. Clin. Endocrinol. Metab. 2018, 103, 3890–3899. [Google Scholar] [CrossRef]
  283. He, Z.; Tian, Y.; Valenzuela, P.L.; Huang, C.; Zhao, J.; Hong, P.; He, Z.; Yin, S.; Lucia, A. Myokine/adipokine response to “aerobic” exercise: Is it just a matter of exercise load? Front. Physiol. 2019, 10, 691. [Google Scholar] [CrossRef] [PubMed]
  284. Domin, R.; Dadej, D.; Pytka, M.; Zybek-Kocik, A.; Ruchała, M.; Guzik, P. Effect of Various Exercise Regimens on Selected Exercise-Induced Cytokines in Healthy People. Int. J. Environ. Res. Public Health 2021, 18, 1261. [Google Scholar] [CrossRef] [PubMed]
  285. Bugera, E.M.; Duhamel, T.A.; Peeler, J.D.; Cornish, S.M. The systemic myokine response of decorin, interleukin-6 (IL-6) and interleukin-15 (IL-15) to an acute bout of blood flow restricted exercise. Eur. J. Appl. Physiol. 2018, 118, 2679–2686. [Google Scholar] [CrossRef]
  286. Fortunato, A.K.; Pontes, W.M.; De Souza, D.M.S.; Prazeres, J.S.F.; Marcucci-Barbosa, L.S.; Santos, J.M.M.; Veira, É.L.M.; Bearzoti, E.; Pinto, K.M.D.C.; Talvani, A. Strength training session induces important changes on physiological, immunological, and inflammatory biomarkers. J. Immunol. Res. 2018, 2018, 9675216. [Google Scholar] [CrossRef]
  287. Knuiman, P.; Hopman, M.T.; Hangelbroek, R.; Mensink, M. Plasma cytokine responses to resistance exercise with different nutrient availability on a concurrent exercise day in trained healthy males. Physiol. Rep. 2018, 6, e13708. [Google Scholar] [CrossRef] [PubMed]
  288. Bazgir, B.; Salesi, M.; Koushki, M.; Amirghofran, Z. Effects of eccentric and concentric emphasized resistance exercise on IL-15 serum levels and its relation to inflammatory markers in athletes and non-athletes. Asian J. Sports Med. 2015, 6, e27980. [Google Scholar] [CrossRef] [PubMed]
  289. Kapilevich, L.V.; Zakharova, A.N.; Kabachkova, A.V.; Kironenko, T.A.; Orlov, S.N. Dynamic and static exercises differentially affect plasma cytokine content in elite endurance-and strength-trained athletes and untrained volunteers. Front. Physiol. 2017, 8, 35. [Google Scholar] [CrossRef]
  290. Bittel, A.J.; Bittel, D.C.; Mittendorfer, B.; Patterson, B.W.; Okunade, A.L.; Yoshino, J.; Porter, L.C.; Abumrad, N.A.; Reeds, D.N.; Cade, W.T. A single bout of resistance exercise improves postprandial lipid metabolism in overweight/obese men with prediabetes. Diabetologia 2020, 63, 611–623. [Google Scholar] [CrossRef] [PubMed]
  291. Saunders, T.J.; Palombella, A.; McGuire, K.A.; Janiszewski, P.M.; Després, J.P.; Ross, R. Acute exercise increases adiponectin levels in abdominally obese men. J. Nutr. Metab. 2012, 2012, 148729. [Google Scholar] [CrossRef] [PubMed]
  292. Haskell, W.L.; Montoye, H.J.; Orenstein, D. Physical activity and exercise to achieve health-related physical fitness components. Public Health Rep. 1985, 100, 202. [Google Scholar] [PubMed]
  293. Haskell, W.L.; Lee, I.-M.; Pate, R.R.; Powell, K.E.; Blair, S.N.; Franklin, B.A.; Macera, C.A.; Heath, G.W.; Thompson, P.D.; Bauman, A. Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation 2007, 116, 1081. [Google Scholar] [CrossRef]
  294. Gau, G.T. Exercise in Health and Disease: Evaluation and Prescription for Prevention and Rehabilitation. In Mayo Clinic Proceedings; Elsevier: Amsterdam, The Netherlands, 1985; pp. 568–569. [Google Scholar]
  295. Moreno-Navarrete, J.M.; Ortega, F.; Serrano, M.; Guerra, E.; Pardo, G.; Tinahones, F.; Ricart, W.; Fernández-Real, J.M. Irisin is expressed and produced by human muscle and adipose tissue in association with obesity and insulin resistance. J. Clin. Endocrinol. Metab. 2013, 98, E769–E778. [Google Scholar] [CrossRef] [PubMed]
  296. Roca-Rivada, A.; Castelao, C.; Senin, L.L.; Landrove, M.O.; Baltar, J.; Crujeiras, A.B.; Seoane, L.M.; Casanueva, F.F.; Pardo, M. FNDC5/irisin is not only a myokine but also an adipokine. PLoS ONE 2013, 8, e60563. [Google Scholar] [CrossRef]
  297. Huh, J.Y.; Panagiotou, G.; Mougios, V.; Brinkoetter, M.; Vamvini, M.T.; Schneider, B.E.; Mantzoros, C.S. FNDC5 and irisin in humans: I. Predictors of circulating concentrations in serum and plasma and II. mRNA expression and circulating concentrations in response to weight loss and exercise. Metabolism 2012, 61, 1725–1738. [Google Scholar] [CrossRef]
  298. Miller, W.C.; Koceja, D.; Hamilton, E. A meta-analysis of the past 25 years of weight loss research using diet, exercise or diet plus exercise intervention. Int. J. Obes. 1997, 21, 941–947. [Google Scholar] [CrossRef]
  299. Pimenta, N.M.; Santa-Clara, H.; Sardinha, L.B.; Fernhall, B. Body fat responses to a 1-year combined exercise training program in male coronary artery disease patients. Obesity 2013, 21, 723–730. [Google Scholar] [CrossRef]
  300. Hee Park, K.; Zaichenko, L.; Brinkoetter, M.; Thakkar, B.; Sahin-Efe, A.; Joung, K.E.; Tsoukas, M.A.; Geladari, E.V.; Huh, J.Y.; Dincer, F. Circulating irisin in relation to insulin resistance and the metabolic syndrome. J. Clin. Endocrinol. Metab. 2013, 98, 4899–4907. [Google Scholar] [CrossRef]
  301. Al-Daghri, N.M.; Alkharfy, K.M.; Rahman, S.; Amer, O.E.; Vinodson, B.; Sabico, S.; Piya, M.K.; Harte, A.L.; McTernan, P.G.; Alokail, M.S. Irisin as a predictor of glucose metabolism in children: Sexually dimorphic effects. Eur. J. Clin. Investig. 2014, 44, 119–124. [Google Scholar] [CrossRef]
  302. Conn, V.S.; Koopman, R.J.; Ruppar, T.M.; Phillips, L.J.; Mehr, D.R.; Hafdahl, A.R. Insulin sensitivity following exercise interventions: Systematic review and meta-analysis of outcomes among healthy adults. J. Prim. Care Community Health 2014, 5, 211–222. [Google Scholar] [CrossRef] [PubMed]
  303. Fox, J.; Rioux, B.; Goulet, E.; Johanssen, N.; Swift, D.; Bouchard, D.; Loewen, H.; Sénéchal, M. Effect of an acute exercise bout on immediate post-exercise irisin concentration in adults: A meta-analysis. Scand. J. Med. Sci. Sports 2018, 28, 16–28. [Google Scholar] [CrossRef] [PubMed]
  304. Yang, S.J.; Hong, H.C.; Choi, H.Y.; Yoo, H.J.; Cho, G.J.; Hwang, T.G.; Baik, S.H.; Choi, D.S.; Kim, S.M.; Choi, K.M. Effects of a three-month combined exercise programme on fibroblast growth factor 21 and fetuin-A levels and arterial stiffness in obese women. Clin. Endocrinol. 2011, 75, 464–469. [Google Scholar] [CrossRef] [PubMed]
  305. Taniguchi, H.; Tanisawa, K.; Sun, X.; Kubo, T.; Higuchi, M. Endurance exercise reduces hepatic fat content and serum fibroblast growth factor 21 levels in elderly men. J. Clin. Endocrinol. 2016, 101, 191–198. [Google Scholar] [CrossRef] [PubMed]
  306. Porflitt-Rodríguez, M.; Guzmán-Arriagada, V.; Sandoval-Valderrama, R.; Tam, C.S.; Pavicic, F.; Ehrenfeld, P.; Martínez-Huenchullán, S. Effects of aerobic exercise on fibroblast growth factor 21 in overweight and obesity. A systematic review. Metabolism 2022, 129, 155137. [Google Scholar] [CrossRef]
  307. Kong, Z.; Sun, S.; Liu, M.; Shi, Q. Short-term high-intensity interval training on body composition and blood glucose in overweight and obese young women. J. Diabetes Res. 2016, 2016, 4073618. [Google Scholar] [CrossRef]
  308. Andersen, T.; Schmidt, J.; Thomassen, M.; Hornstrup, T.; Frandsen, U.; Randers, M.B.; Hansen, P.; Krustrup, P.; Bangsbo, J. A preliminary study: Effects of football training on glucose control, body composition, and performance in men with type 2 diabetes. Scand. J. Med. Sci. Sports 2014, 24, 43–56. [Google Scholar] [CrossRef]
  309. Fazeli, P.K.; Lun, M.; Kim, S.M.; Bredella, M.A.; Wright, S.; Zhang, Y.; Lee, H.; Catana, C.; Klibanski, A.; Patwari, P. FGF21 and the late adaptive response to starvation in humans. J. Clin. Investig. 2015, 125, 4601–4611. [Google Scholar] [CrossRef]
  310. Lundsgaard, A.-M.; Fritzen, A.M.; Sjøberg, K.A.; Myrmel, L.S.; Madsen, L.; Wojtaszewski, J.F.; Richter, E.A.; Kiens, B. Circulating FGF21 in humans is potently induced by short term overfeeding of carbohydrates. Mol. Metab. 2017, 6, 22–29. [Google Scholar] [CrossRef]
  311. Yu, H.; Xia, F.; Lam, K.S.; Wang, Y.; Bao, Y.; Zhang, J.; Gu, Y.; Zhou, P.; Lu, J.; Jia, W. Circadian rhythm of circulating fibroblast growth factor 21 is related to diurnal changes in fatty acids in humans. Clin. Chem. 2011, 57, 691–700. [Google Scholar] [CrossRef]
  312. Kruse, R.; Vienberg, S.G.; Vind, B.F.; Andersen, B.; Højlund, K. Effects of insulin and exercise training on FGF21, its receptors and target genes in obesity and type 2 diabetes. Diabetologia 2017, 60, 2042–2051. [Google Scholar] [CrossRef] [PubMed]
  313. Fedewa, M.V.; Hathaway, E.D.; Ward-Ritacco, C.L.; Williams, T.D.; Dobbs, W.C. The effect of chronic exercise training on leptin: A systematic review and meta-analysis of randomized controlled trials. Sports Med. 2018, 48, 1437–1450. [Google Scholar] [CrossRef] [PubMed]
  314. Becic, T.; Studenik, C.; Hoffmann, G. Exercise increases adiponectin and reduces leptin levels in prediabetic and diabetic individuals: Systematic review and meta-analysis of randomized controlled trials. Med. Sci. 2018, 6, 97. [Google Scholar] [CrossRef]
  315. Prestes, J.; da Cunha Nascimento, D.; de Sousa Neto, I.V.; Tibana, R.A.; Shiguemoto, G.E.; de Andrade Perez, S.E.; Botero, J.P.; Schoenfeld, B.J.; Pereira, G.B. The effects of muscle strength responsiveness to periodized resistance training on resistin, leptin, and cytokine in elderly postmenopausal women. J. Strength Cond. Res. 2018, 32, 113–120. [Google Scholar] [CrossRef]
  316. Sallam, N.; Laher, I. Exercise modulates oxidative stress and inflammation in aging and cardiovascular diseases. Oxidative Med. Cell. Longev. 2016, 2016, 7239639. [Google Scholar] [CrossRef]
  317. Gleeson, M.; Bishop, N.C.; Stensel, D.J.; Lindley, M.R.; Mastana, S.S.; Nimmo, M.A. The anti-inflammatory effects of exercise: Mechanisms and implications for the prevention and treatment of disease. Nat. Rev. Immunol. 2011, 11, 607–615. [Google Scholar] [CrossRef] [PubMed]
  318. Bouassida, A.; Chamari, K.; Zaouali, M.; Feki, Y.; Zbidi, A.; Tabka, Z. Review on leptin and adiponectin responses and adaptations to acute and chronic exercise. Br. J. Sports Med. 2010, 44, 620–630. [Google Scholar] [CrossRef] [PubMed]
  319. Senesi, P.; Luzi, L.; Terruzzi, I. Adipokines, myokines, and cardiokines: The role of nutritional interventions. Int. J. Mol. Sci. 2020, 21, 8372. [Google Scholar] [CrossRef]
  320. Bourgognon, J.M.; Cavanagh, J. The role of cytokines in modulating learning and memory and brain plasticity. Brain Neurosci. Adv. 2020, 4, 2398212820979802. [Google Scholar] [CrossRef]
  321. Armutcu, F.; Ozen, O.A. Inter-organ Crosstalk and the Effect on the Aging Process in Obesity. Curr. Aging Sci. 2023, 16, 97–111. [Google Scholar] [CrossRef]
  322. Santos, J.P.M.d.; Maio, M.C.d.; Lemes, M.A.; Laurindo, L.F.; Haber, J.F.d.S.; Bechara, M.D.; Prado, P.S.d., Jr.; Rauen, E.C.; Costa, F.; Pereira, B.C.d.A. Non-alcoholic steatohepatitis (NASH) and organokines: What is now and what will be in the future. Int. J. Mol. Sci. 2022, 23, 498. [Google Scholar] [CrossRef] [PubMed]
  323. Brand, E.; Schorr, U.; Kunz, I.; Kertmen, E.; Ringel, J.; Distler, A.; Sharma, A.M. Tumor necrosis factor-alpha--308 G/A polymorphism in obese Caucasians. Int. J. Obes. Relat. Metab. Disord. 2001, 25, 581–585. [Google Scholar] [CrossRef] [PubMed]
  324. Mǎrginean, C.O.; Mǎrginean, C.; Meliţ, L.E. New Insights Regarding Genetic Aspects of Childhood Obesity: A Minireview. Front. Pediatr. 2018, 6, 271. [Google Scholar] [CrossRef]
  325. Champroux, A.; Cocquet, J.; Henry-Berger, J.; Drevet, J.R.; Kocer, A. A Decade of Exploring the Mammalian Sperm Epigenome: Paternal Epigenetic and Transgenerational Inheritance. Front. Cell Dev. Biol. 2018, 6, 50. [Google Scholar] [CrossRef]
  326. Dimofski, P.; Meyre, D.; Dreumont, N.; Leininger-Muller, B. Consequences of Paternal Nutrition on Offspring Health and Disease. Nutrients 2021, 13, 2818. [Google Scholar] [CrossRef]
  327. Korotkova, M.; Gabrielsson, B.; Lönn, M.; Hanson, L.A.; Strandvik, B. Leptin levels in rat offspring are modified by the ratio of linoleic to alpha-linolenic acid in the maternal diet. J. Lipid Res. 2002, 43, 1743–1749. [Google Scholar] [CrossRef] [PubMed]
  328. Maslova, E.; Rifas-Shiman, S.L.; Olsen, S.F.; Gillman, M.W.; Oken, E. Prenatal n-3 long-chain fatty acid status and offspring metabolic health in early and mid-childhood: Results from Project Viva. Nutr. Diabetes 2018, 8, 29. [Google Scholar] [CrossRef] [PubMed]
  329. Reddy, K.V.; Naidu, K.A. Maternal supplementation of α-linolenic acid in normal and protein-restricted diets modulate lipid metabolism, adipose tissue growth and leptin levels in the suckling offspring. Eur. J. Nutr. 2015, 54, 761–770. [Google Scholar] [CrossRef]
Figure 1. The role of diet and exercise in remodeling of organokines in obesity and T2D. The liver, muscle, and adipose tissue are potent endocrine organs that secrete hepatokines, myokines, and adipokines. These organokines exert endocrine or paracrine actions and interact with each other. The changing profile of organokines in obesity and T2D is ameliorated by diet/nutrients and exercise, thereby improving the pathophysiology of obesity and T2D. Red organokines represent up-regulation, blue organokines indicate down-regulation, and double-sided arrows indicate controversial changes by exercise. CR: caloric restriction; acute exercise: a single instance of exercise; chronic exercise; regular and repeated sessions of physical activity; FGF21: fibroblast growth factor 21; IL: interleukin; TNF: tumor necrosis factor; CCL: C-C Motif Chemokine Ligand; PUFA: polyunsaturated fatty acids; T2D: type 2 diabetes; MCP-1: monocyte chemoattractant protein-1. Figure created using BioRender.com.
Figure 1. The role of diet and exercise in remodeling of organokines in obesity and T2D. The liver, muscle, and adipose tissue are potent endocrine organs that secrete hepatokines, myokines, and adipokines. These organokines exert endocrine or paracrine actions and interact with each other. The changing profile of organokines in obesity and T2D is ameliorated by diet/nutrients and exercise, thereby improving the pathophysiology of obesity and T2D. Red organokines represent up-regulation, blue organokines indicate down-regulation, and double-sided arrows indicate controversial changes by exercise. CR: caloric restriction; acute exercise: a single instance of exercise; chronic exercise; regular and repeated sessions of physical activity; FGF21: fibroblast growth factor 21; IL: interleukin; TNF: tumor necrosis factor; CCL: C-C Motif Chemokine Ligand; PUFA: polyunsaturated fatty acids; T2D: type 2 diabetes; MCP-1: monocyte chemoattractant protein-1. Figure created using BioRender.com.
Metabolites 13 00979 g001
Table 1. Modulation of organokines by dietary intervention.
Table 1. Modulation of organokines by dietary intervention.
Nutrient/DietOrganokineNameEffect and Biological ActionReferences
Calorie restrictionHepatokineFetuin-ACalorie-restriction intervention for 12 weeks decreased circulating fetuin-A concentrations, with improved blood pressure, plasma glucose, visceral fat, and lipid profiles.[178]
Methionine-restricted dietHepatokineFGF21Methionine-restricted diet increased hepatic FGF21.[179]
Leucine-restricted dietHepatokineFGF21Leucine-restricted diet markedly reduced body weight and induced browning in subcutaneous WAT by increasing hepatic FGF21 gene expression in mice.[181]
Dietary fiber (SCFAs)AdipokineLeptinSCFAs stimulated the secretion of the satiety hormone leptin from adipose tissues.[209,210]
AdipokineIL-6 and TNF-α Butyrate treatment suppressed pro-inflammatory cytokine production, including IL-6, TNF-α, and MCP-1 in the co-incubation of murine 3T3-L1 adipocytes and RAW 264.7 macrophages.[211]
AdipokineCCL5 and TNF-αPropionate treatment of adipose tissue explants obtained from patients who were overweight significantly downregulated inflammatory cytokines such as CCL5 and TNF-α.[212]
ω3 PUFAsMyokineIrisinω3 PUFAs supplementation (1250 mg thrice/day) increased serum irisin levels in patients with T2D.[220]
AdipokineTNF-αω-3 PUFAs supplementation inhibited inflammatory cytokine expression in the adipose tissues of obese mice.[222]
AdipokineFGF21n-3 PUFAs up-regulated FGF21 expression and secretion in brown and beige adipocytes, thereby inducing brown and beige differentiation.[221]
Selenium Adipokine
Hepatokine
FGF21
Leptin
Adiponectin
Selenium supplementation improved the profile of plasma levels of FGF-21, adiponectin, and leptin levels, reducing diet-induced adiposity in mice.[226]
Vitamin DAdipokineLeptin1,25(OH)2D3 decreased the secretion of leptin in human adipocytes.[238]
AdipokineIL-6 and nuclear factor-Κb1,25(OH)2D3 inhibited IL-6 and nuclear factor-Κb in human adipocytes.[238]
Vitamin AAdipokine Leptin All-trans retinoic acid decreased leptin expression in the adipose tissues. [241]
Adipokine Leptin and RBP4 All-trans retinoic acid regulated the secretion of leptin and RBP4 from adipose tissues. [243,244,245,246]
Myokine Irisin All-trans retinoic acid treatment of C2C12 myoblasts increased myokine irisin secretion in a dose-dependent manner.[247]
β-Carotene (pro-vitamin A carotenoid)AdipokineAdiponectin
Inflammatory cytokines
β-Carotene treatment significantly decreased inflammation in 3T3-L1 adipocytes, while increasing the secretion of adiponectin. [248]
Lycopene (non-provitamin A carotenoid)Adipokine IL-6, MCP-1, and IL-1β Lycopene inhibited pro-inflammatory markers in the WAT of rodents and humans.[249]
Apo-10′-lycopenoic acidAdipokineIL-6 and IL-1βApo-10′-lycopenoic acid exerts anti-inflammatory effects in WAT via RAR.[250]
β-Carotene and lycopeneMyokine Adiponectin Non-target metabolite analysis of tomato demonstrated that β-carotene and lycopene enhanced the adiponectin signaling pathway in C2C12 myotubes.[251]
Vitamin B12 and folateAdipokine Adiponectin and leptin Vitamin B12 and folic acid treatment improved adiponectin and leptin profiles in mice and humans.[260,261]
FGF21: Fibroblast growth factor 21; WAT: white adipose tissue; SCFAs: Short-chain fatty acids; IL: interleukin; TNF: Tumor necrosis factor; CCL: C-C Motif Chemokine Ligand; PUFA: polyunsaturated fatty acids; T2D: type 2 diabetes; RBP: Retinol binding protein; MCP-1: monocyte chemoattractant protein-1; RAR: retinoic acid receptors.
Table 2. Modulation of organokines by exercise.
Table 2. Modulation of organokines by exercise.
ExerciseOrganokineNameEffect and Biological ActionReferences
AcuteMyokineFollistatin (FST)Acute exercises, including resistance, endurance, and HIIT, raise plasma/serum FST levels ranging from approximately 5% to 500%.resistance [280,281,282], endurance [273,282,283], HIIT [272,282,284]
The concentration of FST typically peaks around 3-4 h after exercise and then gradually decreases, although in some studies, elevated concentrations have been observed for up to 72 h post-exercise.[284]
MyokineIL-15Resistance exercise elevates IL-15 within the first hour of recovery and is unaffected by the availability of carbohydrates or fat prior to exercise.[272,287]
Individuals with higher fitness levels, including resistance and endurance-trained athletes, tend to have higher baseline levels of IL-15 compared with untrained individuals.[289]
An acute bout of high-intensity interval endurance training did not result in changes in IL-15 concentration in sedentary subjects.[272]
Myokine
Hepatokine
FGF21Immediate or slight changes in FGF21 levels are typically observed immediately after acute endurance exercise, with peak values occurring around 1 h post-exercise.[272,273,274,275]
T2D patients, despite having higher baseline FGF21 levels compared with healthy individuals, hyperinsulinemia or hepatic insulin resistance can hinder the exercise-induced secretion of FGF21.[276]
Obese individuals with hyperinsulinemia have lower FGF21 secretion compared with healthy individuals.[277]
HepatokineFetuin-AFollowing a single bout of exercise, obese individuals experienced an immediate rise in serum phosphofetuin-A (Ser312) levels, which returned to baseline within 24 h. [278,290]
This suggests that the exercise-induced decrease in fetuin-A levels may contribute to the acute health benefits of exercise observed in this context.[279]
Adipocyte Adiponectin A single 1 h bout resistance exercise enhances postprandial lipid oxidation throughout the entire body in obese men with prediabetes.[290]
a single session of acute exercise, regardless of intensity, leads to a notable increase in plasma adiponectin levels in sedentary, abdominally obese men.[291]
ChronicMyokineIrisin Long-term exercise decreases irisin level accompanied by reductions in body weight and body fat.[299,300]
cross-sectional studies have demonstrated that higher circulating irisin levels are positively associated with insulin resistance and fasting blood glucose in non-diabetic individuals.[301,302]
Myokine
Hepatokine
FGF21Some studies support the notion that chronic exercise, either alone or in combination with dietary intervention, can significantly reduce circulating FGF21 levels in obese or elderly individuals.[305,306,307]
Other studies did not observe any effect of chronic exercise on FGF21 levels in obese or diabetic patients.[308,309]
AdipokineLeptin Meta-analyses have shown that long-term aerobic, resistance, and combined exercise lead to reductions in fat mass accompanied by lower levels of leptin.[314,315]
Chronic exercise training for a duration of at least two weeks, whether aerobic or resistance training, resulted in decreased leptin levels in elderly postmenopausal women depending on the percentage of body fat and was observed regardless of age and sex.[314]
HIIT: high-intensity interval training; IL: interleukin; FGF21: Fibroblast growth factor 21; T2D: type 2 diabetes.
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.

Share and Cite

MDPI and ACS Style

Lim, J.Y.; Kim, E. The Role of Organokines in Obesity and Type 2 Diabetes and Their Functions as Molecular Transducers of Nutrition and Exercise. Metabolites 2023, 13, 979. https://doi.org/10.3390/metabo13090979

AMA Style

Lim JY, Kim E. The Role of Organokines in Obesity and Type 2 Diabetes and Their Functions as Molecular Transducers of Nutrition and Exercise. Metabolites. 2023; 13(9):979. https://doi.org/10.3390/metabo13090979

Chicago/Turabian Style

Lim, Ji Ye, and Eunju Kim. 2023. "The Role of Organokines in Obesity and Type 2 Diabetes and Their Functions as Molecular Transducers of Nutrition and Exercise" Metabolites 13, no. 9: 979. https://doi.org/10.3390/metabo13090979

APA Style

Lim, J. Y., & Kim, E. (2023). The Role of Organokines in Obesity and Type 2 Diabetes and Their Functions as Molecular Transducers of Nutrition and Exercise. Metabolites, 13(9), 979. https://doi.org/10.3390/metabo13090979

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