Next Article in Journal
Dietary Copper and Selenium Intakes and the Risk of Type 2 Diabetes Mellitus: Findings from the China Health and Nutrition Survey
Previous Article in Journal
A Review on Rhubarb-Derived Substances as Modulators of Cardiovascular Risk Factors—A Special Emphasis on Anti-Obesity Action
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Influence of Nutritional Status and Physical Exercise on Immune Response in Metabolic Syndrome

1
Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, 00166 Rome, Italy
2
Laboratory of Cardiovascular Endocrinology, IRCCS San Raffaele Roma, 00166 Rome, Italy
3
Department of Biomedicine, Neurosciences, and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy
4
Department of Systems Medicine, University of Rome “Tor Vergata”, 00133 Rome, Italy
5
School of Human Movement Science, University of Rome “Tor Vergata”, 00133 Rome, Italy
6
Department of Internal Medicine II, Center for Complementary Medicine, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Nutrients 2022, 14(10), 2054; https://doi.org/10.3390/nu14102054
Submission received: 13 April 2022 / Revised: 11 May 2022 / Accepted: 12 May 2022 / Published: 13 May 2022
(This article belongs to the Special Issue Nutritional Interventions, Physical Activity and Immune System Health)

Abstract

:
Metabolic Syndrome (MetS) is a cluster of metabolic alterations mostly related to visceral adiposity, which in turn promotes glucose intolerance and a chronic systemic inflammatory state, characterized by immune cell infiltration. Such immune system activation increases the risk of severe disease subsequent to viral infections. Strong correlations between elevated body mass index (BMI), type-2-diabetes and increased risk of hospitalization after pandemic influenza H1N1 infection have been described. Similarly, a correlation between elevated blood glucose level and SARS-CoV-2 infection severity and mortality has been described, indicating MetS as an important predictor of clinical outcomes in patients with COVID-19. Adipose secretome, including two of the most abundant and well-studied adipokines, leptin and interleukin-6, is involved in the regulation of energy metabolism and obesity-related low-grade inflammation. Similarly, skeletal muscle hormones—called myokines—released in response to physical exercise affect both metabolic homeostasis and immune system function. Of note, several circulating hormones originate from both adipose tissue and skeletal muscle and display different functions, depending on the metabolic context. This review aims to summarize recent data in the field of exercise immunology, investigating the acute and chronic effects of exercise on myokines release and immune system function.

Graphical Abstract

1. Introduction

Metabolic Syndrome (MetS) is a cluster of metabolic alterations mostly related to visceral adiposity and includes arterial hypertension, hyperglycemia and dyslipidemia [1]. The prevalence of obesity is increasing worldwide, contributing to the increasing incidence of cardio-metabolic disorders [2]. In accordance with evidence supporting a strong association between visceral adiposity and metabolic alterations, MetS is characterized by a chronic systemic inflammatory state, which, in turn, is associated with a greater risk of type 2 diabetes mellitus (T2DM) and cardiovascular disease. Importantly, MetS increases the risk of severe disease due to viral infections [1].
In general, excess adiposity results when energy intake exceeds energy expenditure, due to both overnutrition and insufficient physical activity, leading to a positive energy balance. There is accumulating evidence that the dysfunctional adipocyte is a major source of pro-inflammatory cytokines, promoting systemic low-grade inflammation and thus further contributing to the development of MetS and obesity-related disorders [3]. In particular, pro-inflammatory immune cell infiltration in terms of macrophages, effector and memory T-cells, T regulatory cells, natural killer and natural killer T cells and granulocytes are a major contributor to an inflammatory milieu in obesity [4]. This immune system activation might represent the link between MetS and the increased risk of severe disease due to viral infection.
Exercise is considered a form of physical stress, acting as an immune system modulator, through both neuro-endocrine and metabolic adaptations, underlying muscle contraction [5]. In the early 20th century, Larrabee, Tileston and Emerson were the first to observe leukocytosis among athletes participating in the Boston Marathon two hours after the end of the race [6]. In accordance with their observations, several studies indicated that prolonged and intensive exercise was associated with transient immune dysfunction, elevated inflammatory biomarkers and increased risk of upper respiratory tract infections [7,8,9,10,11,12].
In the last decades, advances in mass spectrometry and genetic testing allowed for a better understanding of the emerging correlations between “homic” sciences (metabolomics, proteomics, lipidomics, genomics), intestinal microbiota, physical exercise and the immune system [13,14]. Like adipose tissue, skeletal muscle tissue is also considered a veritable endocrine organ, releasing a number of circulating chemical mediators called “myokines”, which are involved in the regulation of metabolic and immune health [15,16,17].
Myokines specifically act at the adipose tissue level, by reducing and regulating fat mass expansion, favoring the beige/brown phenotype which, in turn, improves metabolic homeostasis. At a systemic level, myokines improve insulin sensitivity in target tissues and organs (e.g., liver, muscles) [18]. The endocrine adaptation of skeletal muscle in response to exercise training can therefore result in systemic anti-inflammatory effects, counteracting deleterious consequences of metabolic syndrome on the immune system [19].
As recommended by current guidelines, both physical exercise and adequate nutrition are able to modulate myokines release, thus potentially contributing to improve insulin sensitivity and mitigate the risk associated with cardiometabolic diseases [20]. The aim of this narrative review is to report and discuss the latest evidence on the impact of physical exercise and nutritional status on mediators of inflammation. In particular, the review summarizes how metabolic dysregulation impairs immune responses during influenza virus and coronavirus infection with a particular focus on patients with MetS at an increased cardio-metabolic risk. The novelty of this manuscript resides in the change of perspective adopted to discuss the impact of metabolic homeostasis on immune function in response to physical exercise. Fat accumulation is widely considered the most important actor, releasing hormones able to induce chronic inflammation with immune cells infiltration, as well as metabolic alterations. On the other hand, skeletal muscle represents a veritable endocrine organ, secreting a number of contraction-induced hormones, which are known to regulate immunometabolism. To illustrate the complex relationships between physical exercise, skeletal muscle, adipose tissue and immune system, a brief description of the main hormones secreted by skeletal muscle and their physiological significance will be also provided.

2. Metabolic Syndrome and Viral Infections

Visceral adiposity and glucose intolerance subsequent to overfeeding, as well as to altered insulin signaling and progressive loss of beta-cell function, represent well established features of MetS and type 2 diabetes (T2DM) [1,21,22]. Patients with obesity and T2DM are particularly vulnerable to viral infections, although the underlying mechanisms are not well established [23,24,25,26].
A 2009 clinical study by Louie et al., investigating the impact of BMI on the incidence of severe influenza infection among California residents hospitalized with H1N1, reported that half of the 534 patients infected by influenza virus were obese [27]. In accordance with their findings, another study revealed that adults with a body mass index (BMI) > 30 kg/m2 had a 1.45 to 3 times increased risk for hospitalization during influenza seasons in Canada [28]. Similarly, patients with T2DM demonstrated increased influenza-related mortality, showing an increased risk of hospitalization and intensive care unit (ICU) admission upon hospitalization [29]. The greater prevalence of T2DM in individuals infected by H1N1 developing fatal disease complications is related to chronic hyperglycemia, which impairs innate and humoral immune systems, with reduced function of T cells and neutrophils (Table 1) [30]. Similarly, obese individuals show alterations at different steps of the innate and adaptive immune response, characterized by a state of chronic and low-grade inflammation, which seems to be a major determinant in the severity of viral infections in obesity. Indeed, the visceral adipose tissue secretome releasing leptin and other pro-inflammatory cytokines is able to negatively affect immune system function, for example, by reducing macrophage activation after antigen presentation [31,32]. This may explain the increased susceptibility and delayed recovery of viral infections in obese/diabetic individuals. Importantly, macrophage dysfunction may alter vaccine efficacy together with virus pathogenicity [33,34].
Recently, several studies discussed the impact of MetS on COVID-19 clinical outcomes, showing that elevated BMI, as well as obesity-related metabolic dysfunctions, including T2DM, represent important risk factors for complications and mortality following SARS-CoV-2 infection [35,36,37]. In particular, hyperglycemia has been indicated as a predictor for the fatality of COVID-19 infection (Table 1) [38,39,40].
Elevation of initial blood glucose levels was identified as an independent risk factor for in-hospital mortality among critical cases [38]. Moreover, patients with new-onset hyperglycemia, even in the absence of diabetes diagnosis, showed poorer outcome compared to the normoglycemic individuals, as well as those with pre-existing diabetes [39]. On the other hand, obesity per se induces detrimental effects in patients with SARS-CoV-2 infection, potentially leading to worse outcomes, including respiratory and multiple organ failure and thus increasing the mortality risk [41]. Several factors are implicated in the association between obesity and increased risk of hospitalization due to a COVID-19 infection. First, dysfunctional visceral fat secretome, including pro-inflammatory cytokines and adipokines, impairs immune function, through a direct regulation of both innate and adaptive immune response, as mentioned above [42]. Second, abdominal fat accumulation hampers diaphragmatic movement, reducing basal lung expansion during inspiration. For this reason, obese individuals are more likely to have worse lung function and respiratory symptoms than individuals with a normal BMI [43,44].
Given the increasing prevalence of obesity worldwide in recent years, these data highlight that increased risk of respiratory infections—with the relative burden of severe complications—exists in obese subjects.
Despite such evidence, the impact of obesity and metabolic alterations on viral infections severity is underestimated probably due to the fact that BMI is generally not identified as a significant problem in primary care. For this reason, it is usually not inserted in medical records upon hospitalization, unless the patient undergoes invasive surgery [45]. This could represent bias in the context of retrospective clinical studies focusing on the impact of obesity on viral infection outcomes. Other bias, such as those correlating pneumonia to obesity, may be due to the difficulty in reading X-ray reports in overweight people or the fact that early studies in this field have used variable BMI values to define obesity [46]. Obese individuals were shown to have a higher morbidity and mortality from COVID-19. A major concern is that vaccines could be less efficient in subjects with obesity [47].

3. Adipose Tissue Dysfunction and Immunomodulation in MetS

The histological and functional complexity of the adipose organ goes far beyond its apparent nature as a ‘fat reservoir’ [48]. Adipose tissue is a specialized form of connective tissue encompassing vascular stroma (containing endothelial cells, pericytes, fibroblasts and pluripotent stem cells) and mature adipocytes, able to store fats in the form of triglycerides [49]. Adipose tissue is mainly located under the skin at the level of the hypodermis and internally, in the peritoneal area, at the level of the large omentum, behind the intestine, around the kidneys and the pericardial [50].
At the histological-functional level, we distinguish mainly between two types of adipose tissue. White adipose tissue (WAT), located both in the hypodermis and viscerally, is characterized by adipocytes containing a single large lipid droplet and low mitochondrial density with low metabolic activity [51]. Brown adipose tissue (BAT), which is more prevalent in infants than in adults, is characterized by adipocytes with a number of small lipid droplets, higher mitochondrial density and with important thermogenic function [52,53]. Recently, beige adipose tissue with intermediate characteristics of both tissues has been identified. The onset of the beige adipocyte is still controversial, but it is well established that it is capable of expressing discrete quantities of thermogenin in response to both physical exercise and calorie restriction [54]. Genetic, hormonal and environmental factors are involved in beige/BAT development and metabolism as well as in the browning process of WAT [55,56]. Adipose depots are considered a veritable endocrine organ secreting different adipokines which regulate several neuroendocrine functions, including energy expenditure, insulin sensitivity, lipid and glucose metabolism, endothelial function, blood pressure and immunity [57,58]. Visceral fat also releases free fatty acids (FFAs) through lipolysis into the portal bloodstream, determining intrahepatic fat accumulation and skeletal muscle insulin resistance [59].
In obesity, dysfunctional adipose tissue promotes systemic low-grade inflammation which, in turn, contributes to the development of obesity-related diseases [3]. In particular, adipose tissue hypertrophy and hyperplasia determine local hypoxia and cell death, as well as extracellular matrix remodeling and mitochondrial dysfunction, leading to immune cell infiltration [60]. Adipocytes secrete chemoattractant factors, including the stromal cell-derived factor-1 α (SDF-1α), which promotes recruitment and survival of cluster of differentiation 4+ (CD4+) T-lymphocytes, resulting in adipose tissue inflammation and subsequent recruitment of proinflammatory macrophages [61,62].
On the other hand, macrophages infiltrating adipose tissue shift to a pro-inflammatory phenotype, forming typical crown-like structures around adipocytes and secreting pro-inflammatory cytokines [63]. Of note, the most studied adipokine leptin plays an essential role in regulating immune system function, promoting an obesity-related low-grade inflammation state. Preclinical studies using transgenic mice clarified the role of leptin as a potent immune modulator [64,65].
Accordingly, genetic mutations in leptin or the leptin receptor promote fat accumulation and obesity development with immune system dysfunction in humans [66]. With regard to the adaptive immunity response, pro-inflammatory effects of leptin have been described. Leptin receptors are expressed in CD4+ T-lymphocytes [67], where leptin signaling regulates survival, proliferation, cytokine release and differentiation [68,69]; on the other hand, the proliferation of regulatory T cells (Treg cells), showing anti-inflammatory activity, is inhibited by leptin in human cells ex vivo [70]. Similarly, leptin signaling mediates pro-inflammatory effects in innate immune cells, including macrophages where the adipokine induces both phagocytosis and cytokine production [71,72].
Adipose tissue and the immune system share cytokines secretion whose role can vary enormously depending on their targets, as well as the metabolic context in which they are secreted [73]. Given the strong correlation between obesity, low-grade inflammation and metabolic diseases, inflammation pathways represent a valid target for the treatment of obesity-related comorbidities [74].

4. Skeletal Muscle and Exercise Immunology

The skeletal muscle system is essential to maintain general health and well-being and plays a pivotal role in ensuring vital functions such as movement, postural support, breathing and thermogenesis. Sarcopenia is a clinical condition characterized by progressive decline in skeletal muscle mass and strength occurring in aging, and it is considered a predictor factor of fractures, disability and functional impairments associated with significant morbidity and mortality. Interestingly, Sarcopenia is also associated with increased infection susceptibility, thus representing a potential link between impaired muscle function and impaired immune response. On the other hand, sarcopenic obesity occurs when reduced skeletal muscle mass and strength are accompanied by visceral fat accumulation, which induces lipotoxicity as well as systemic inflammation, as already discussed [75,76,77,78,79,80,81]. The combination of muscle loss and ectopic lipid deposition, induced by visceral fat expansion, leads to impaired immune response to a greater extent compared to sarcopenia or obesity alone and [82] reduces the ability to respond to metabolic stress [83]. Such evidence is of particular interest due to the current global pandemic caused by COVID-19.
Exercise immunology is an important research area investigating acute and chronic effects of exercise on the immune system function, including clinical benefits of the exercise–immunity relationship and nutritional influences on the immune response to exercise. Skeletal muscle contraction induced by physical exercise triggers neuro-endocrine and metabolic adaptations, which potentially influence the immune system function [5]. Like adipose tissue, skeletal muscle tissue displays endocrine properties [84] essential in regulating physiological response to physical exercise, through the release of chemical mediators, the so-called myokines, capable of exerting effects at an autocrine, paracrine and even endocrine level through the blood circulation on different target tissues (Figure 1) [85,86].
Notably, in 2013, Raschke and Eckel discussed the existence of adipo-myokines. Indeed, several myokines, whose expression is regulated by physical exercise-induced contraction, are also secreted by adipocytes thus playing a dual role as mediators of both inflammation and metabolic health, depending on the circumstances [87]. This paragraph focuses both on the main myokines, produced by muscle tissue in response to physical exercise and involved in metabolic homeostasis and immune system modulation, as well as on adipo-myokines, capable of exerting bioactive functions that vary depending on the source tissue and the metabolic context [85].

5. Myokines

Fibroblast growth factor 21 (FGF21) is an endocrine hormone secreted by several organs and involved in energy homeostasis regulation. In particular, FGF21 is induced in response to mitochondrial dysfunction, starvation and endoplasmic reticulum stress, and it is considered a powerful endocrine mediator, capable of improving glucose tolerance, lipid metabolism and energy expenditure in murine models [88,89].
Some studies suggest that skeletal muscle FGF21 favors browning by regulating the expression of the mitochondrial protein uncoupling protein 1 (UCP1) in white adipose tissue depots [90] Despite the aforementioned studies, the role of FGF21 as an exercise-induced myokine remains controversial.
A clinical study demonstrated that physiological insulin concentrations induce muscle expression of FGF21, which, in turn, correlates with increased hormone circulating levels in overweight/obese diabetic individuals. Interestingly, physical exercise showed no effects on FGF21 expression in skeletal muscle and adipose tissue, although a significant improvement in insulin sensitivity was observed in these subjects, suggesting that FGF21 is a direct target of insulin action, even in the presence of insulin resistance [91]. In addition to that, several studies showed that aerobic exercise increases in FGF21 serum levels in healthy individuals, immediately after exercise session and after two weeks of training [92,93]. Further studies are necessary to clarify the therapeutic potential of muscle FGF21.
Myogenin is a transcription factor essential for myogenesis and skeletal muscle repair [94]. Different stimuli, including muscle trauma induced by physical training, are able to promote satellite cells (SCs) proliferation, thus increasing the expression of myogenic markers [95]. Myogenin is one of the so-called “regulatory myogenic factors” (along with myogenic factor 5 (Myf5) and myoblast determination protein 1 (MyoD)) that plays a key role in the transition from satellite cells to myoblasts and their fusion to restore damaged myofibrils [96]. Accordingly, myogenin gene expression increases in SCs isolated from human skeletal muscle biopsy samples following eccentric contractions [97]. On the other hand, recruited immune cells play a critical role in muscle repair.
During muscle regeneration, SCs are reprogrammed by infiltrating neutrophils and monocytes, through pro-inflammatory cytokines release, which represents the initial stages of myogenesis. Then, activated macrophages acquire anti-inflammatory properties to resolve inflammation and facilitate tissue recovery, determining the transition from the proliferative stage to the differentiation and growth stage of myogenesis [98,99,100].
Myonectin, also known as CTRP15, is a very important exercise-training-responsive myokine, regulating lipid metabolism in skeletal muscle, adipose tissue and liver and showing a significant positive impact on NEFA (non-esterified fatty acids) levels, in mice [101]. Of note, lipid oxidation represents the most effective molecular adaptation to training, and it is accompanied by an increase in mitochondria number and activity in response to physical exercise [102,103].
Increased myonectin circulating levels correlate with insulin resistance in humans. On the other hand, the same study indicates that obese subjects show reduced myokine levels, demonstrating an inverse relationship between myonectin and BMI values [104], thus suggesting that increased myonectin levels in the presence of IR may represent a compensatory mechanism. In accordance with this evidence, a recent study showed that a moderate-intensity aerobic exercise program (between 50% and 70% of maximum heart rate) is capable not only of increasing myonectin levels but also of reducing insulin resistance in obese subjects [105]. Given the described role of myonectin in energy metabolism regulation, the specific impact of this myokine on immune system in response to exercise needs to be explored.
Brain-derived neurotrophic factor (BDNF) is a small protein mainly produced by the central nervous system (but also by skeletal muscle) and plays an important role in neurogenesis processes related to memory and learning. Studies conducted so far show that physical exercise is able to positively stimulate BDNF release [106,107]. In particular, the increase in BDNF levels after aerobic exercise is closely correlated to energy expenditure, therefore, high intensity and/or high-volume training is more effective in inducing an increase in BDNF blood concentration. [106].
BDNF displays both autocrine action at a muscular level in muscle regeneration, as well as in muscular adaptation to exercise, and endocrine action at a central nervous system (CNS) level, as revealed by a positive neurotrophic impact in terms of enhanced cognitive function correlated to increased plasma levels of BDNF after physical exercise, especially in elderly subjects [108]. Moreover, BDNF exerts anorexic actions at a CNS level by interacting with hypothalamic centers regulating appetite [109]. Interestingly, it has been demonstrated that, like other neurotrophins, BDNF contributes to the functioning of both innate and acquired immunity [110]. Such immunomodulatory property results in potential neuroprotective effects in the presence of neurodegenerative diseases [111].
As regards metabolic aspects, BDNF regulates both glucose and lipid metabolism [112]. In particular, physical exercise enhances circulating levels of BDNF, which are decreased in obesity and type 2 diabetes mellitus, improving lipid oxidation and insulin sensitivity [113]. Of note, BDNF preserves pancreatic beta-cell function in experimental models [114]. Furthermore, emerging evidence indicates a link between BNDF and COVID-19 disease. SARS-CoV-2 infection dampens BDNF synthesis and release, thus favoring COVID-19 associated neurologic symptoms. For this reason, BDNF levels have been proposed as a predictive factor of intensive care unit admission in COVID-19 patients [115].
Monocyte chemoattractant protein-1 (MCP-1/CCL2) is the best-characterized chemokine released by skeletal muscle in response to injury. It is involved both in the recruitment of monocytes and T lymphocytes, thus triggering the beneficial inflammation essential to support muscle regeneration but also in the alteration of insulin sensitivity and obesity-related low-grade inflammation [116,117].
Indeed, diabetic patients show elevated MCP-1 circulating levels, and it has been shown that exercise is able to significantly reduce MCP-1 plasma levels [118,119]. Notably, even mild physical exercise (10,000 steps a day, 3 times a week, for 8 weeks) is capable of downregulating MCP-1 expression in sedentary subjects, supporting the beneficial anti-inflammatory benefit of low-intensity exercise [120]. Although there is a lack of reliable data on human models, the possible role of MCP-1 as a connecting link between exercise, immune response and skeletal muscle insulin resistance needs to be established by further studies.

6. Adipo-Myokines

Interleukin 6 (IL-6) is a protein composed of 212 amino acids, produced from adipose tissue, skeletal muscle and immune system cells [121]. It is well established that IL-6 plays a different role (inflammatory or anti-inflammatory) depending on the tissue where it is expressed, as well as on its mechanism of action. Despite the well-described pro-inflammatory effects of systemic IL-6 in metabolic diseases, clinical studies demonstrate that IL-6 secreted by skeletal muscle in response to physical exercise exerts anti-inflammatory effects with beneficial metabolic responses [8]. Indeed, IL-6 membrane receptor (IL-6R) requires a pair of glycoproteins (gp130) as co-receptors to form the IL-6–IL6R–gp130 complex in order to activate the intracellular signaling transduction. However, a small number of cells express IL-6R, whereas gp130 is present in almost all cell populations; thus, in the absence of IL-6R, IL-6 requires a soluble receptor (sIL-6R) to initiate signaling [122]. When IL-6 exerts its effects via soluble receptors, the signaling pathway is called “trans” and has a pro-inflammatory effect; on the other hand, when membrane receptors are expressed by target cells, the triggered pathway is called “classic” and displays anti-inflammatory effects. Plasma levels of IL-6 increase as a result of muscle exercise and depend closely on the intensity and duration of the stimulus [123]. During physical exercise, skeletal muscle secretes IL-6, whereas sIL-6R is not expressed [124]. In this tissue, sIL-6R is produced as a result of enzymatic reactions in the presence of other chemical mediators of inflammation, such as tumor necrosis factor alpha (TNF-alpha) produced by dysfunctional adipocytes. Skeletal muscle IL-6 specifically acts at the level of the target cells expressing IL-6R, inducing a cascade of signals that culminate in biological actions aimed at improving the body’s metabolic profile in terms of energy substrates, improved insulin sensitivity and fatty acids oxidation, increased lipolysis and glycogenolysis in liver [125]. In addition, skeletal muscle IL-6 plays an important role in processes related to muscle growth, stimulating satellite cells, the differentiation, browning of fat deposits and cardiovascular protection [126].
Interleukin 15 (IL-15) is a cytokine discovered in 1994 in T lymphocytes and generally associated with inflammatory processes; IL-15 is also produced by skeletal muscle in response to physical exercise [127], and its receptors (interleukin 15 receptor alpha (IL-15Ralfa)) are expressed by different tissues involved in metabolic homeostasis [128].
Very similar signaling has been observed for IL-15 and IL-6, with increased glucose transporter type 4 (GLUT-4) expression and tanslocation, thus resulting in improved glucose uptake and energy metabolism [129,130]. At the adipocyte level, IL-15 promotes lipolysis and stimulates mitochondrial activity in brown adipocytes, increasing the expression of UCP1 [131], as well as regulating cell proliferation by inhibiting pre-adipocytes. Such a property is of particular interest due to the well-known role of adipose tissue expansion in the increase in mechanical stress, hypoxia and low-grade inflammation [132]. Short sessions of aerobic activity seem to increase IL-15 levels in both lean and overweight/obese subjects [133]. A more recent study showed an increase (2.2-fold) in serum IL-15 levels even after an acute trail run session (35 km); in the same study, a greater increase (13.2-fold) in circulating IL-6 levels was observed [127].
Leukaemia inhibitory factor (LIF) is a small protein composed of 181 amino acids. It plays an important role in hematopoietic processes related to the differentiation of myeloid line cells (monocytes, neutrophil granulocytes, eosinophils, basophils, erythrocytes, megakaryocytes, dendritic cells) [134].
It shares the same gp130 co-receptors with IL-6, thus performing an anti-inflammatory function. A recent preclinical study hypothesized a role for LIF in improving glucose uptake, at muscle level, as well as in inhibiting adipocyte proliferation [135]. In humans it has been shown that both aerobic activity and exercise with overloads regulate LIF mRNA expression in skeletal muscle [136].
Irisin (FNDC5) has been identified for the first time in 2012 by Spiegelman’s group. It is a hormone produced by muscle tissue following physical exercise, and it plays an essential role in the cross-talk between different tissues/organs, including adipose tissue, bone, brain and skeletal muscle [137]. Irisin promotes browning of adipose tissue with beneficial effects in term of weight loss, thermogenesis activation and improved glucose tolerance. Moreover, it stimulates new bone formation and displays neuroprotective effects, through the upregulation of BDNF, thereby also enhancing cognitive capacity, by increasing the number of synapses [138,139]. As regards metabolic action, reduced irisin circulating levels have been associated with angiopathy and renal dysfunction development in T2D mellitus [140].
Myostatin (MSTN) is a protein discovered in 1997 by McPherron and Se-Jin Lee with an important role in regulating skeletal muscle growth [141]. Its action is in fact regulated by the presence of follistatin, which is produced by the liver in response to physical activity and is known to antagonize MSTN, promoting browning both in vitro and in vivo [142]. Interestingly, MSTN is also expressed in the adipose tissue exerting a dual function, either inhibiting or promoting adipogenesis depending on the context. Despite many aspects that need to be clarified, preclinical studies showed that MSTN genetic deletion leads to increased muscle mass, with reduced fat mass and resistance to diet-induced obesity [143,144].
Clinical studies display a direct effect of physical exercise on skeletal muscle MSTN mRNA expression, which is reduced after sessions of variable duration of exercise, especially if the exercise is structured on a multiweekly program aimed at sedentary subjects [145,146].
Meteorin-like protein precursor (METRNL) is a factor induced in muscle in response to exercise and in adipose tissue as a result of exposure to cold [147]. Its biological activity is mainly expressed in increasing energy expenditure, improving glucose tolerance and inducing thermogenesis in beige adipose tissue, as well as in promoting anti-inflammatory cytokines release [148,149]. Despite the established role of METRNL in thermogenesis, a clinical study demonstrated that aerobic activity performed at low temperatures does not improve its expression. Moreover, a positive association has been found between METRNL and Irisin, whose circulating levels are elevated in individuals with T2D [150]. Further studies are necessary to clarify the metabolic impact of this adipo-myokine.
Beta-Aminoisobutyric Acid (BAIBA) is a recently described adipo-myokine, whose importance has increased due to its implications in metabolic homeostasis [151]. In particular, two enantiomers exist in biological systems: R-BAIBA and S-BAIBA. BAIBA release is induced, at the skeletal muscle level, as a result of physical exercise, playing a protective role against diet-induced obesity due to its ability to induce browning of WAT in animal models. This metabolic effect is also related to increased fatty acid oxidation and ketone body production, as well as increased expression of carnitine palmitoyltransferase 1 (CPT-1) in the liver, resulting in improved insulin sensitivity [152]. It has been shown that BAIBA release protects osteocytes from apoptosis, thus preventing bone tissue dysfunction by reducing reactive oxygen species (ROS) production at the mitochondrial level [153]. Although many mechanisms related to its biological action still need to be clarified, it has been hypothesized that BAIBA exerts its action on lipid metabolism and insulin sensitivity by restoring and enhancing the biological action of leptin [154]. Of note, acute aerobic exercise sessions induce increase in both the enantiomer R (13%) and S (20%) in the plasma of healthy subjects [155]. Accordingly, a general BAIBA increase (17%) was observed in healthy sedentary subjects after aerobic exercise programs performed three times per week over a period of 20 weeks [156].
Overall, it seems evident that physical exercise is able to modulate systemic inflammation through adipo-myokines release, thus potentially inducing different immune changes depending also on exercise intensity. Thus, physical exercise together with adequate nutrition may be the main preventive measures to maintain metabolic health and energy balance. Both adipose tissue and skeletal muscle are considered endocrine organs secreting hormones able to modulate metabolic homeostasis, as well as immune system function. Physical-exercise-induced myokines and muscle-adipose tissue cross-talk have important implications for health and metabolic diseases. Generally, adipokines play a pivotal role in low-grade inflammation associated with visceral fat accumulation, whereas myokines are released in response to muscle contraction and show anti-inflammatory and beneficial metabolic effects. The immune system is responsive to the physiological stress induced by skeletal muscle contraction. Exercise immunology takes advantage from this observation and suggests that physical exercise may induce beneficial metabolic changes in immune cells, through myokines secretion, by regulating cellular energy sensors. On the other hand, it is well established that physical inactivity contributes to obesity and MetS development [157]. Actually, evidence supporting the correlation between physical inactivity, MetS and infectious risk is limited due to the lack of epidemiological studies, as well as to social influences considering physical exercise as a hobby more than preventive/therapeutical approach aimed to maintain individual health. Yet it should be considered that physical activity promotion is at the heart of the Global Action Plan on Physical Activity 2018–2030 proposed by the World Health Organization (WHO). Such a plan involves several countries and aims to improve social, economic, political and infrastructural processes able to counteract physical inactivity by promoting a culture of movement. To date, the rate of physical inactivity in countries with strong industrialization and urban development, reaches almost 70%; the WHO aims to reduce this value by at least 15%, by 2030, in all age groups in order to promote the concept of active society. The achievement of this goal will take into account differences in motor possibilities between population groups from each country involved. It is important to highlight that there are still deeply rooted beliefs, already discussed in this manuscript, indicating that a certain amount of exercise can exert opposite effects, not only worsening the inflammatory status but also dysregulating the immune response and exposing the subject to a specific type of infectious risk [158].

7. Conclusions

Obesity correlates with altered metabolic homeostasis mostly due to visceral fat accumulation, which, in turn, promotes systemic low-grade inflammation, affecting the immune response to infections. Thus, MetS represents a risk factor not only for non-communicable diseases but also in the assessment of infectious risk. In particular, obese patients display respiratory dysfunction due to altered respiratory mechanisms, caused also by mechanical compression of the diaphragm and reduced lung volume. Such impairment in the respiratory function due to visceral fat accumulation can facilitate pneumonia infections in these individuals, increasing the risk of pulmonary hypertension and cardiac stress. Obesity-related comorbidities increase the risk of organ failure associated with pneumonia [159]. Such evidence is of particular interest with regard to pandemic COVID-19. Indeed, glucose homeostasis, lipid profile as well as blood pressure control are essential to determine the clinical outcome in these patients [160]. In this context, the assessment of anthropometric and metabolic parameters, including BMI, waist and hip circumferences and glucose and insulin levels, is crucial to estimate the risk of complications in patients with COVID-19. In particular, insulin resistance represents a strong determinant of metabolic health impairment, cardiac dysfunction and cardiovascular disease (CVD)-related mortality. Future studies will improve knowledge in the field of personalized nutrition, also providing physical exercise guidelines based on real needs of the population, thus taking into account social, economic and environmental factors influencing people’s lifestyle. This approach may be essential to improve the quality of life, as well as to prevent the development of cardiometabolic disease, showing negative impact on infections outcome and rehabilitation programs, thus reducing individual life expectancy.

Author Contributions

Conceptualization, M.L., M.C. and L.P.; methodology, D.L. and C.B.; software, I.D.; validation, A.B. and D.L.; writing—original draft preparation, A.F.; writing—review and editing, E.P. and M.A.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

Graphical Abstract has been created with BioRender.com (accessed on 1 April 2022).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Sherling, D.H.; Perumareddi, P.; Hennekens, C.H. Metabolic Syndrome. J. Cardiovasc. Pharmacol. Ther. 2017, 22, 365–367. [Google Scholar] [CrossRef] [PubMed]
  2. Council of the Obesity Society. Obesity as a disease: The Obesity Society Council resolution. Obesity (Silver Spring) 2008, 16, 1151. [Google Scholar] [CrossRef] [PubMed]
  3. Kawai, T.; Autieri, M.V.; Scalia, R. Adipose tissue inflammation and metabolic dysfunction in obesity. Am. J. Physiol. Cell Physiol. 2021, 320, C375–C391. [Google Scholar] [CrossRef] [PubMed]
  4. Guzik, T.J.; Skiba, D.S.; Touyz, R.M.; Harrison, D.G. The role of infiltrating immune cells in dysfunctional adipose tissue. Cardiovasc. Res. 2017, 113, 1009–1023. [Google Scholar] [CrossRef] [Green Version]
  5. Nieman, D.C.; Wentz, L.M. The compelling link between physical activity and the body’s defense system. J. Sport Health Sci. 2019, 8, 201–217. [Google Scholar] [CrossRef]
  6. Garrey, W.E.; Bryan, W.R. Variations in White Blood Cell Counts. Physiol. Rev. 1935, 15, 597–638. [Google Scholar] [CrossRef]
  7. Hoffman-Goetz, L.; Keir, R.; Thorne, R.; Houston, M.E.; Young, C. Chronic exercise stress in mice depresses splenic T lymphocyte mitogenesis in vitro. Clin. Exp. Immunol. 1986, 66, 551–557. [Google Scholar]
  8. Pedersen, B.K.; Febbraio, M.A. Muscle as an endocrine organ: Focus on muscle-derived interleukin-6. Physiol. Rev. 2008, 88, 1379–1406. [Google Scholar] [CrossRef] [Green Version]
  9. Tvede, N.; Pedersen, B.K.; Hansen, F.R.; Bendix, T.; Christensen, L.D.; Galbo, H.; Halkjaer-Kristensen, J. Effect of physical exercise on blood mononuclear cell subpopulations and in vitro proliferative responses. Scand J. Immunol. 1989, 29, 383–389. [Google Scholar] [CrossRef]
  10. Mackinnon, L.T.; Chick, T.W.; van As, A.; Tomasi, T.B. The effect of exercise on secretory and natural immunity. Adv. Exp. Med. Biol. 1987, 216A, 869–876. [Google Scholar] [CrossRef]
  11. Peake, J.M.; Neubauer, O.; Della Gatta, P.A.; Nosaka, K. Muscle damage and inflammation during recovery from exercise. J. Appl. Physiol. (1985) 2017, 122, 559–570. [Google Scholar] [CrossRef] [PubMed]
  12. Hoffman-Goetz, L.; Thorne, R.J.; Houston, M.E. Splenic immune responses following treadmill exercise in mice. Can. J. Physiol. Pharmacol. 1988, 66, 1415–1419. [Google Scholar] [CrossRef]
  13. Smith, R.; Mathis, A.D.; Ventura, D.; Prince, J.T. Proteomics, lipidomics, metabolomics: A mass spectrometry tutorial from a computer scientist’s point of view. BMC Bioinform. 2014, 15 (Suppl. S7), S9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Moffa, S.; Mezza, T.; Cefalo, C.M.A.; Cinti, F.; Impronta, F.; Sorice, G.P.; Santoro, A.; Di Giuseppe, G.; Pontecorvi, A.; Giaccari, A. The Interplay between Immune System and Microbiota in Diabetes. Mediat. Inflamm. 2019, 2019, 9367404. [Google Scholar] [CrossRef]
  15. Pratesi, A.; Tarantini, F.; Di Bari, M. Skeletal muscle: An endocrine organ. Clin. Cases Miner. Bone Metab. 2013, 10, 11–14. [Google Scholar] [CrossRef]
  16. Delezie, J.; Handschin, C. Endocrine Crosstalk Between Skeletal Muscle and the Brain. Front. Neurol. 2018, 9, 698. [Google Scholar] [CrossRef] [PubMed]
  17. Feraco, A.; Gorini, S.; Armani, A.; Camajani, E.; Rizzo, M.; Caprio, M. Exploring the Role of Skeletal Muscle in Insulin Resistance: Lessons from Cultured Cells to Animal Models. Int. J. Mol. Sci. 2021, 22, 9327. [Google Scholar] [CrossRef] [PubMed]
  18. Leal, L.G.; Lopes, M.A.; Batista, M.L. Physical Exercise-Induced Myokines and Muscle-Adipose Tissue Crosstalk: A Review of Current Knowledge and the Implications for Health and Metabolic Diseases. Front. Physiol. 2018, 9, 1307. [Google Scholar] [CrossRef] [PubMed]
  19. Scheffer, D.D.L.; Latini, A. Exercise-induced immune system response: Anti-inflammatory status on peripheral and central organs. Biochim. Biophys. Acta (BBA) Mol. Basis Dis. 2020, 1866, 165823. [Google Scholar] [CrossRef]
  20. Lombardo, M.; Bellia, C.; Moletto, C.; Aulisa, G.; Padua, E.; Della-Morte, D.; Caprio, M.; Bellia, A. Effects of Quality and Quantity of Protein Intake for Type 2 Diabetes Mellitus Prevention and Metabolic Control. Curr. Nutr. Rep. 2020, 9, 329–337. [Google Scholar] [CrossRef]
  21. Xuan, S.; Szabolcs, M.; Cinti, F.; Perincheri, S.; Accili, D.; Efstratiadis, A. Genetic analysis of type-1 insulin-like growth factor receptor signaling through insulin receptor substrate-1 and -2 in pancreatic beta cells. J. Biol. Chem. 2010, 285, 41044–41050. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Cinti, F.; Mezza, T.; Severi, I.; Suleiman, M.; Cefalo, C.M.A.; Sorice, G.P.; Moffa, S.; Impronta, F.; Quero, G.; Alfieri, S.; et al. Noradrenergic fibers are associated with beta-cell dedifferentiation and impaired beta-cell function in humans. Metabolism 2021, 114, 154414. [Google Scholar] [CrossRef] [PubMed]
  23. Badawi, A.; Ryoo, S.G. Prevalence of Diabetes in the 2009 Influenza A (H1N1) and the Middle East Respiratory Syndrome Coronavirus: A Systematic Review and Meta-Analysis. J. Public Health Res. 2016, 5, 733. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Huttunen, R.; Syrjanen, J. Obesity and the outcome of infection. Lancet Infect. Dis. 2010, 10, 442–443. [Google Scholar] [CrossRef]
  25. Milner, J.J.; Beck, M.A. The impact of obesity on the immune response to infection. Proc. Nutr. Soc. 2012, 71, 298–306. [Google Scholar] [CrossRef] [Green Version]
  26. Dobner, J.; Kaser, S. Body mass index and the risk of infection-from underweight to obesity. Clin. Microbiol. Infect. 2018, 24, 24–28. [Google Scholar] [CrossRef] [Green Version]
  27. Louie, J.K.; Acosta, M.; Samuel, M.C.; Schechter, R.; Vugia, D.J.; Harriman, K.; Matyas, B.T.; California Pandemic Working, G. A novel risk factor for a novel virus: Obesity and 2009 pandemic influenza A (H1N1). Clin. Infect. Dis. 2011, 52, 301–312. [Google Scholar] [CrossRef] [Green Version]
  28. Kwong, J.C.; Campitelli, M.A.; Rosella, L.C. Obesity and respiratory hospitalizations during influenza seasons in Ontario, Canada: A cohort study. Clin. Infect. Dis. 2011, 53, 413–421. [Google Scholar] [CrossRef] [Green Version]
  29. Allard, R.; Leclerc, P.; Tremblay, C.; Tannenbaum, T.N. Diabetes and the severity of pandemic influenza A (H1N1) infection. Diabetes Care 2010, 33, 1491–1493. [Google Scholar] [CrossRef] [Green Version]
  30. Casqueiro, J.; Casqueiro, J.; Alves, C. Infections in patients with diabetes mellitus: A review of pathogenesis. Indian J. Endocrinol. Metab. 2012, 16 (Suppl. S1), S27–S36. [Google Scholar] [CrossRef]
  31. Ahn, S.Y.; Sohn, S.H.; Lee, S.Y.; Park, H.L.; Park, Y.W.; Kim, H.; Nam, J.H. The effect of lipopolysaccharide-induced obesity and its chronic inflammation on influenza virus-related pathology. Environ. Toxicol. Pharmacol. 2015, 40, 924–930. [Google Scholar] [CrossRef] [PubMed]
  32. Karlsson, E.A.; Hertz, T.; Johnson, C.; Mehle, A.; Krammer, F.; Schultz-Cherry, S. Obesity Outweighs Protection Conferred by Adjuvanted Influenza Vaccination. mBio 2016, 7, e01144-16. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Knoll, R.; Schultze, J.L.; Schulte-Schrepping, J. Monocytes and Macrophages in COVID-19. Front. Immunol. 2021, 12, 720109. [Google Scholar] [CrossRef] [PubMed]
  34. Gleeson, L.E.; Roche, H.M.; Sheedy, F.J. Obesity, COVID-19 and innate immunometabolism. Br. J. Nutr. 2021, 125, 628–632. [Google Scholar] [CrossRef]
  35. Chu, Y.; Yang, J.; Shi, J.; Zhang, P.; Wang, X. Obesity is associated with increased severity of disease in COVID-19 pneumonia: A systematic review and meta-analysis. Eur. J. Med. Res. 2020, 25, 64. [Google Scholar] [CrossRef]
  36. Pranata, R.; Lim, M.A.; Yonas, E.; Vania, R.; Lukito, A.A.; Siswanto, B.B.; Meyer, M. Body mass index and outcome in patients with COVID-19: A dose-response meta-analysis. Diabetes Metab. 2021, 47, 101178. [Google Scholar] [CrossRef]
  37. Guo, W.; Li, M.; Dong, Y.; Zhou, H.; Zhang, Z.; Tian, C.; Qin, R.; Wang, H.; Shen, Y.; Du, K.; et al. Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes/Metab. Res. Rev. 2020, 36, e3319. [Google Scholar] [CrossRef] [Green Version]
  38. Wu, J.; Huang, J.; Zhu, G.; Wang, Q.; Lv, Q.; Huang, Y.; Yu, Y.; Si, X.; Yi, H.; Wang, C.; et al. Elevation of blood glucose level predicts worse outcomes in hospitalized patients with COVID-19: A retrospective cohort study. BMJ Open Diabetes Res. Care 2020, 8, e001476. [Google Scholar] [CrossRef]
  39. Singh, A.K.; Singh, R. Hyperglycemia without diabetes and new-onset diabetes are both associated with poorer outcomes in COVID-19. Diabetes Res. Clin. Pr. 2020, 167, 108382. [Google Scholar] [CrossRef]
  40. Cariou, B.; Pichelin, M.; Goronflot, T.; Gonfroy, C.; Marre, M.; Raffaitin-Cardin, C.; Thivolet, C.; Wargny, M.; Hadjadj, S.; Gourdy, P.; et al. Phenotypic characteristics and prognosis of newly diagnosed diabetes in hospitalized patients with COVID-19: Results from the CORONADO study. Diabetes Res. Clin. Pr. 2021, 175, 108695. [Google Scholar] [CrossRef]
  41. Sanchis-Gomar, F.; Lavie, C.J.; Mehra, M.R.; Henry, B.M.; Lippi, G. Obesity and Outcomes in COVID-19: When an Epidemic and Pandemic Collide. Mayo Clin. Proc. 2020, 95, 1445–1453. [Google Scholar] [CrossRef] [PubMed]
  42. de Heredia, F.P.; Gomez-Martinez, S.; Marcos, A. Obesity, inflammation and the immune system. Proc. Nutr. Soc. 2012, 71, 332–338. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Wannamethee, S.G.; Shaper, A.G.; Whincup, P.H. Body fat distribution, body composition, and respiratory function in elderly men. Am. J. Clin. Nutr. 2005, 82, 996–1003. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Zammit, C.; Liddicoat, H.; Moonsie, I.; Makker, H. Obesity and respiratory diseases. Int. J. Gen. Med. 2010, 3, 335–343. [Google Scholar] [CrossRef] [Green Version]
  45. Huttunen, R.; Karppelin, M.; Syrjanen, J. Obesity and nosocomial infections. J. Hosp. Infect. 2013, 85, 8–16. [Google Scholar] [CrossRef]
  46. Le, N.T.; Robinson, J.; Lewis, S.J. Obese patients and radiography literature: What do we know about a big issue? J. Med. Radiat. Sci. 2015, 62, 132–141. [Google Scholar] [CrossRef]
  47. Popkin, B.M.; Du, S.; Green, W.D.; Beck, M.A.; Algaith, T.; Herbst, C.H.; Alsukait, R.F.; Alluhidan, M.; Alazemi, N.; Shekar, M. Individuals with obesity and COVID-19: A global perspective on the epidemiology and biological relationships. Obes. Rev. 2020, 21, e13128. [Google Scholar] [CrossRef]
  48. Choe, S.S.; Huh, J.Y.; Hwang, I.J.; Kim, J.I.; Kim, J.B. Adipose Tissue Remodeling: Its Role in Energy Metabolism and Metabolic Disorders. Front. Endocrinol. 2016, 7, 30. [Google Scholar] [CrossRef] [Green Version]
  49. Cinti, S. The adipose organ at a glance. Dis. Model. Mech. 2012, 5, 588–594. [Google Scholar] [CrossRef] [Green Version]
  50. Ibrahim, M.M. Subcutaneous and visceral adipose tissue: Structural and functional differences. Obes. Rev. 2010, 11, 11–18. [Google Scholar] [CrossRef]
  51. Saely, C.H.; Geiger, K.; Drexel, H. Brown versus white adipose tissue: A mini-review. Gerontology 2012, 58, 15–23. [Google Scholar] [CrossRef] [PubMed]
  52. Fenzl, A.; Kiefer, F.W. Brown adipose tissue and thermogenesis. Horm. Mol. Biol. Clin. Investig. 2014, 19, 25–37. [Google Scholar] [CrossRef] [PubMed]
  53. Marlatt, K.L.; Ravussin, E. Brown Adipose Tissue: An Update on Recent Findings. Curr. Obes. Rep. 2017, 6, 389–396. [Google Scholar] [CrossRef]
  54. Frigolet, M.E.; Gutierrez-Aguilar, R. The colors of adipose tissue. Gac. Med. Mex. 2020, 156, 142–149. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Ronkainen, J.; Mondini, E.; Cinti, F.; Cinti, S.; Sebert, S.; Savolainen, M.J.; Salonurmi, T. Fto-Deficiency Affects the Gene and MicroRNA Expression Involved in Brown Adipogenesis and Browning of White Adipose Tissue in Mice. Int. J. Mol. Sci. 2016, 17, 1851. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Zhang, Y.; Sowers, J.R.; Ren, J. Targeting autophagy in obesity: From pathophysiology to management. Nat. Rev. Endocrinol. 2018, 14, 356–376. [Google Scholar] [CrossRef]
  57. Zorena, K.; Jachimowicz-Duda, O.; Slezak, D.; Robakowska, M.; Mrugacz, M. Adipokines and Obesity. Potential Link to Metabolic Disorders and Chronic Complications. Int. J. Mol. Sci. 2020, 21, 3570. [Google Scholar] [CrossRef]
  58. Chait, A.; den Hartigh, L.J. Adipose Tissue Distribution, Inflammation and Its Metabolic Consequences, Including Diabetes and Cardiovascular Disease. Front. Cardiovasc. Med. 2020, 7, 22. [Google Scholar] [CrossRef] [Green Version]
  59. Elffers, T.W.; de Mutsert, R.; Lamb, H.J.; de Roos, A.; Willems van Dijk, K.; Rosendaal, F.R.; Jukema, J.W.; Trompet, S. Body fat distribution, in particular visceral fat, is associated with cardiometabolic risk factors in obese women. PLoS ONE 2017, 12, e0185403. [Google Scholar] [CrossRef] [Green Version]
  60. Unamuno, X.; Gomez-Ambrosi, J.; Rodriguez, A.; Becerril, S.; Fruhbeck, G.; Catalan, V. Adipokine dysregulation and adipose tissue inflammation in human obesity. Eur. J. Clin. Investig. 2018, 48, e12997. [Google Scholar] [CrossRef] [Green Version]
  61. Vitiello, L.; Ferraro, E.; De Simone, S.; Gatta, L.; Feraco, A.; Racioppi, L.; Rosano, G. CXCL12 prolongs naive CD4+ T lymphocytes survival via activation of PKA, CREB and Bcl2 and BclXl up-regulation. Int. J. Cardiol. 2016, 224, 206–212. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Shin, J.; Fukuhara, A.; Onodera, T.; Kita, S.; Yokoyama, C.; Otsuki, M.; Shimomura, I. SDF-1 Is an Autocrine Insulin-Desensitizing Factor in Adipocytes. Diabetes 2018, 67, 1068–1078. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Murano, I.; Barbatelli, G.; Parisani, V.; Latini, C.; Muzzonigro, G.; Castellucci, M.; Cinti, S. Dead adipocytes, detected as crown-like structures, are prevalent in visceral fat depots of genetically obese mice. J. Lipid Res. 2008, 49, 1562–1568. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Lord, G.M.; Matarese, G.; Howard, J.K.; Baker, R.J.; Bloom, S.R.; Lechler, R.I. Leptin modulates the T-cell immune response and reverses starvation-induced immunosuppression. Nature 1998, 394, 897–901. [Google Scholar] [CrossRef] [PubMed]
  65. Howard, J.K.; Lord, G.M.; Matarese, G.; Vendetti, S.; Ghatei, M.A.; Ritter, M.A.; Lechler, R.I.; Bloom, S.R. Leptin protects mice from starvation-induced lymphoid atrophy and increases thymic cellularity in ob/ob mice. J. Clin. Investig. 1999, 104, 1051–1059. [Google Scholar] [CrossRef] [Green Version]
  66. Ozata, M.; Ozdemir, I.C.; Licinio, J. Human leptin deficiency caused by a missense mutation: Multiple endocrine defects, decreased sympathetic tone, and immune system dysfunction indicate new targets for leptin action, greater central than peripheral resistance to the effects of leptin, and spontaneous correction of leptin-mediated defects. J. Clin. Endocrinol. Metab. 1999, 84, 3686–3695. [Google Scholar] [CrossRef]
  67. Kim, S.Y.; Lim, J.H.; Choi, S.W.; Kim, M.; Kim, S.T.; Kim, M.S.; Cho, Y.S.; Chun, E.; Lee, K.Y. Preferential effects of leptin on CD4 T cells in central and peripheral immune system are critically linked to the expression of leptin receptor. Biochem. Biophys. Res. Commun. 2010, 394, 562–568. [Google Scholar] [CrossRef]
  68. Fujita, Y.; Murakami, M.; Ogawa, Y.; Masuzaki, H.; Tanaka, M.; Ozaki, S.; Nakao, K.; Mimori, T. Leptin inhibits stress-induced apoptosis of T lymphocytes. Clin. Exp. Immunol. 2002, 128, 21–26. [Google Scholar] [CrossRef]
  69. Martin-Romero, C.; Santos-Alvarez, J.; Goberna, R.; Sanchez-Margalet, V. Human leptin enhances activation and proliferation of human circulating T lymphocytes. Cell. Immunol. 2000, 199, 15–24. [Google Scholar] [CrossRef]
  70. De Rosa, V.; Procaccini, C.; Cali, G.; Pirozzi, G.; Fontana, S.; Zappacosta, S.; La Cava, A.; Matarese, G. A key role of leptin in the control of regulatory T cell proliferation. Immunity 2007, 26, 241–255. [Google Scholar] [CrossRef] [Green Version]
  71. Mancuso, P.; Curtis, J.L.; Freeman, C.M.; Peters-Golden, M.; Weinberg, J.B.; Myers, M.G., Jr. Ablation of the leptin receptor in myeloid cells impairs pulmonary clearance of Streptococcus pneumoniae and alveolar macrophage bactericidal function. Am. J. Physiol. Cell. Mol. Physiol. 2018, 315, L78–L86. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Tsiotra, P.C.; Boutati, E.; Dimitriadis, G.; Raptis, S.A. High insulin and leptin increase resistin and inflammatory cytokine production from human mononuclear cells. BioMed Res. Int. 2013, 2013, 487081. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Makki, K.; Froguel, P.; Wolowczuk, I. Adipose tissue in obesity-related inflammation and insulin resistance: Cells, cytokines, and chemokines. ISRN Inflamm. 2013, 2013, 139239. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Zatterale, F.; Longo, M.; Naderi, J.; Raciti, G.A.; Desiderio, A.; Miele, C.; Beguinot, F. Chronic Adipose Tissue Inflammation Linking Obesity to Insulin Resistance and Type 2 Diabetes. Front. Physiol. 2019, 10, 1607. [Google Scholar] [CrossRef] [PubMed]
  75. Narici, M.V.; Maffulli, N. Sarcopenia: Characteristics, mechanisms and functional significance. Br. Med Bull. 2010, 95, 139–159. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Batsis, J.A.; Villareal, D.T. Sarcopenic obesity in older adults: Aetiology, epidemiology and treatment strategies. Nat. Rev. Endocrinol. 2018, 14, 513–537. [Google Scholar] [CrossRef]
  77. Stenholm, S.; Harris, T.B.; Rantanen, T.; Visser, M.; Kritchevsky, S.B.; Ferrucci, L. Sarcopenic obesity: Definition, cause and consequences. Curr. Opin. Clin. Nutr. Metab. Care 2008, 11, 693–700. [Google Scholar] [CrossRef] [Green Version]
  78. Cruz-Jentoft, A.J.; Baeyens, J.P.; Bauer, J.M.; Boirie, Y.; Cederholm, T.; Landi, F.; Martin, F.C.; Michel, J.P.; Rolland, Y.; Schneider, S.M.; et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing 2010, 39, 412–423. [Google Scholar] [CrossRef] [Green Version]
  79. Muscaritoli, M.; Anker, S.D.; Argiles, J.; Aversa, Z.; Bauer, J.M.; Biolo, G.; Boirie, Y.; Bosaeus, I.; Cederholm, T.; Costelli, P.; et al. Consensus definition of sarcopenia, cachexia and pre-cachexia: Joint document elaborated by Special Interest Groups (SIG) “cachexia-anorexia in chronic wasting diseases” and “nutrition in geriatrics”. Clin. Nutr. 2010, 29, 154–159. [Google Scholar] [CrossRef]
  80. Studenski, S.A.; Peters, K.W.; Alley, D.E.; Cawthon, P.M.; McLean, R.R.; Harris, T.B.; Ferrucci, L.; Guralnik, J.M.; Fragala, M.S.; Kenny, A.M.; et al. The FNIH sarcopenia project: Rationale, study description, conference recommendations, and final estimates. J. Gerontol. A Biol. Sci. Med. Sci. 2014, 69, 547–558. [Google Scholar] [CrossRef]
  81. Lombardo, M.; Boaria, A.; Aulisa, G.; Padua, E.; Annino, G.; Pratesi, A.; Caprio, M.; Iellamo, F.; Bellia, A. Sarcopenic obesity: Etiology and lifestyle therapy. Eur. Rev. Med. Pharmacol. Sci. 2019, 23, 7152–7162. [Google Scholar] [CrossRef]
  82. Bernardi, S.; Marcuzzi, A.; Piscianz, E.; Tommasini, A.; Fabris, B. The Complex Interplay between Lipids, Immune System and Interleukins in Cardio-Metabolic Diseases. Int. J. Mol. Sci. 2018, 19, 4058. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Wilkinson, T.J.; Yates, T.; Baker, L.A.; Zaccardi, F.; Smith, A.C. Sarcopenic obesity and the risk of hospitalization or death from coronavirus disease 2019: Findings from UK Biobank. JCSM Rapid Commun. 2021, 5, 3–9. [Google Scholar] [CrossRef] [PubMed]
  84. Baskin, K.K.; Winders, B.R.; Olson, E.N. Muscle as a “mediator” of systemic metabolism. Cell Metab. 2015, 21, 237–248. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Graf, C.; Ferrari, N. Metabolic Health-The Role of Adipo-Myokines. Int. J. Mol. Sci. 2019, 20, 6159. [Google Scholar] [CrossRef] [Green Version]
  86. Gomarasca, M.; Banfi, G.; Lombardi, G. Myokines: The endocrine coupling of skeletal muscle and bone. Adv. Clin. Chem. 2020, 94, 155–218. [Google Scholar] [CrossRef]
  87. Raschke, S.; Eckel, J. Adipo-myokines: Two sides of the same coin--mediators of inflammation and mediators of exercise. Mediat. Inflamm. 2013, 2013, 320724. [Google Scholar] [CrossRef]
  88. Tezze, C.; Romanello, V.; Sandri, M. FGF21 as Modulator of Metabolism in Health and Disease. Front. Physiol. 2019, 10, 419. [Google Scholar] [CrossRef]
  89. Fisher, F.M.; Maratos-Flier, E. Understanding the Physiology of FGF21. Annu. Rev. Physiol. 2016, 78, 223–241. [Google Scholar] [CrossRef] [Green Version]
  90. Lee, P.; Linderman, J.D.; Smith, S.; Brychta, R.J.; Wang, J.; Idelson, C.; Perron, R.M.; Werner, C.D.; Phan, G.Q.; Kammula, U.S.; et al. Irisin and FGF21 are cold-induced endocrine activators of brown fat function in humans. Cell Metab. 2014, 19, 302–309. [Google Scholar] [CrossRef] [Green Version]
  91. Kruse, R.; Vienberg, S.G.; Vind, B.F.; Andersen, B.; Hojlund, 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] [Green Version]
  92. Kim, K.H.; Kim, S.H.; Min, Y.K.; Yang, H.M.; Lee, J.B.; Lee, M.S. Acute exercise induces FGF21 expression in mice and in healthy humans. PLoS ONE 2013, 8, e63517. [Google Scholar] [CrossRef] [PubMed]
  93. Cuevas-Ramos, D.; Almeda-Valdes, P.; Meza-Arana, C.E.; Brito-Cordova, G.; Gomez-Perez, F.J.; Mehta, R.; Oseguera-Moguel, J.; Aguilar-Salinas, C.A. Exercise increases serum fibroblast growth factor 21 (FGF21) levels. PLoS ONE 2012, 7, e38022. [Google Scholar] [CrossRef]
  94. Ganassi, M.; Badodi, S.; Ortuste Quiroga, H.P.; Zammit, P.S.; Hinits, Y.; Hughes, S.M. Myogenin promotes myocyte fusion to balance fibre number and size. Nat. Commun. 2018, 9, 4232. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Muthuraman, P. Effect of coculturing on the myogenic and adipogenic marker gene expression. Appl. Biochem. Biotechnol. 2014, 173, 571–578. [Google Scholar] [CrossRef] [PubMed]
  96. Bazgir, B.; Fathi, R.; Rezazadeh Valojerdi, M.; Mozdziak, P.; Asgari, A. Satellite Cells Contribution to Exercise Mediated Muscle Hypertrophy and Repair. Cell J. 2017, 18, 473–484. [Google Scholar] [CrossRef] [PubMed]
  97. Nederveen, J.P.; Fortino, S.A.; Baker, J.M.; Snijders, T.; Joanisse, S.; McGlory, C.; McKay, B.R.; Kumbhare, D.; Parise, G. Consistent expression pattern of myogenic regulatory factors in whole muscle and isolated human muscle satellite cells after eccentric contractions in humans. J. Appl. Physiol. (1985) 2019, 127, 1419–1426. [Google Scholar] [CrossRef]
  98. Tidball, J.G. Regulation of muscle growth and regeneration by the immune system. Nat. Rev. Immunol. 2017, 17, 165–178. [Google Scholar] [CrossRef]
  99. Saclier, M.; Yacoub-Youssef, H.; Mackey, A.L.; Arnold, L.; Ardjoune, H.; Magnan, M.; Sailhan, F.; Chelly, J.; Pavlath, G.K.; Mounier, R.; et al. Differentially activated macrophages orchestrate myogenic precursor cell fate during human skeletal muscle regeneration. Stem Cells 2013, 31, 384–396. [Google Scholar] [CrossRef] [Green Version]
  100. Fang, J.; Feng, C.; Chen, W.; Hou, P.; Liu, Z.; Zuo, M.; Han, Y.; Xu, C.; Melino, G.; Verkhratsky, A.; et al. Redressing the interactions between stem cells and immune system in tissue regeneration. Biol. Direct 2021, 16, 18. [Google Scholar] [CrossRef]
  101. Seldin, M.M.; Peterson, J.M.; Byerly, M.S.; Wei, Z.; Wong, G.W. Myonectin (CTRP15), a novel myokine that links skeletal muscle to systemic lipid homeostasis. J. Biol. Chem. 2012, 287, 11968–11980. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  102. Menshikova, E.V.; Ritov, V.B.; Toledo, F.G.; Ferrell, R.E.; Goodpaster, B.H.; Kelley, D.E. Effects of weight loss and physical activity on skeletal muscle mitochondrial function in obesity. Am. J. Physiol. Metab. 2005, 288, E818–E825. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. Nordby, P.; Saltin, B.; Helge, J.W. Whole-body fat oxidation determined by graded exercise and indirect calorimetry: A role for muscle oxidative capacity? Scand. J. Med. Sci. Sports 2006, 16, 209–214. [Google Scholar] [CrossRef] [PubMed]
  104. Toloza, F.J.K.; Mantilla-Rivas, J.O.; Perez-Matos, M.C.; Ricardo-Silgado, M.L.; Morales-Alvarez, M.C.; Pinzon-Cortes, J.A.; Perez-Mayorga, M.; Arevalo-Garcia, M.L.; Tolosa-Gonzalez, G.; Mendivil, C.O. Plasma Levels of Myonectin but Not Myostatin or Fibroblast-Derived Growth Factor 21 Are Associated with Insulin Resistance in Adult Humans without Diabetes Mellitus. Front. Endocrinol. 2018, 9, 5. [Google Scholar] [CrossRef] [Green Version]
  105. Pourranjbar, M.; Arabnejad, N.; Naderipour, K.; Rafie, F. Effects of Aerobic Exercises on Serum Levels of Myonectin and Insulin Resistance in Obese and Overweight Women. J. Med. Life 2018, 11, 381–386. [Google Scholar] [CrossRef]
  106. De Assis, G.G.; Gasanov, E.V.; de Sousa, M.B.C.; Kozacz, A.; Murawska-Cialowicz, E. Brain derived neutrophic factor, a link of aerobic metabolism to neuroplasticity. J. Physiol. Pharmacol. 2018, 69, 351–358. [Google Scholar] [CrossRef]
  107. Zoladz, J.A.; Pilc, A. The effect of physical activity on the brain derived neurotrophic factor: From animal to human studies. J. Physiol. Pharmacol. 2010, 61, 533–541. [Google Scholar]
  108. Kim, S.; Choi, J.Y.; Moon, S.; Park, D.H.; Kwak, H.B.; Kang, J.H. Roles of myokines in exercise-induced improvement of neuropsychiatric function. Pflügers Arch.-Eur. J. Physiol. 2019, 471, 491–505. [Google Scholar] [CrossRef]
  109. Takei, N.; Furukawa, K.; Hanyu, O.; Sone, H.; Nawa, H. A possible link between BDNF and mTOR in control of food intake. Front. Psychol. 2014, 5, 1093. [Google Scholar] [CrossRef] [Green Version]
  110. Vega, J.A.; Garcia-Suarez, O.; Hannestad, J.; Perez-Perez, M.; Germana, A. Neurotrophins and the immune system. J. Anat. 2003, 203, 1–19. [Google Scholar] [CrossRef]
  111. Kozlov, E.M.; Grechko, A.V.; Chegodaev, Y.S.; Wu, W.K.; Orekhov, A.N. Contribution of Neurotrophins to the Immune System Regulation and Possible Connection to Alcohol Addiction. Biology 2020, 9, 63. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  112. Bathina, S.; Das, U.N. Brain-derived neurotrophic factor and its clinical implications. Arch. Med. Sci. 2015, 11, 1164–1178. [Google Scholar] [CrossRef] [PubMed]
  113. Zoladz, J.A.; Pilc, A.; Majerczak, J.; Grandys, M.; Zapart-Bukowska, J.; Duda, K. Endurance training increases plasma brain-derived neurotrophic factor concentration in young healthy men. J. Physiol. Pharmacol. 2008, 59 (Suppl. S7), 119–132. [Google Scholar] [PubMed]
  114. Nonomura, T.; Tsuchida, A.; Ono-Kishino, M.; Nakagawa, T.; Taiji, M.; Noguchi, H. Brain-derived neurotrophic factor regulates energy expenditure through the central nervous system in obese diabetic mice. Int. J. Exp. Diabetes Res. 2001, 2, 201–209. [Google Scholar] [CrossRef] [Green Version]
  115. Minuzzi, L.G.; Seelaender, M.; Silva, B.S.A.; Cunha, E.; Deus, M.C.; Vasconcellos, F.T.F.; Marqueze, L.F.B.; Gadotti, A.C.; Baena, C.P.; Pereira, T.; et al. COVID-19 Outcome Relates with Circulating BDNF, According to Patient Adiposity and Age. Front. Nutr. 2021, 8, 784429. [Google Scholar] [CrossRef]
  116. Brunelli, S.; Rovere-Querini, P. The immune system and the repair of skeletal muscle. Pharmacol. Res. 2008, 58, 117–121. [Google Scholar] [CrossRef]
  117. Kanda, H.; Tateya, S.; Tamori, Y.; Kotani, K.; Hiasa, K.; Kitazawa, R.; Kitazawa, S.; Miyachi, H.; Maeda, S.; Egashira, K.; et al. MCP-1 contributes to macrophage infiltration into adipose tissue, insulin resistance, and hepatic steatosis in obesity. J. Clin. Investig. 2006, 116, 1494–1505. [Google Scholar] [CrossRef]
  118. Nomura, S.; Shouzu, A.; Omoto, S.; Nishikawa, M.; Fukuhara, S. Significance of chemokines and activated platelets in patients with diabetes. Clin. Exp. Immunol. 2000, 121, 437–443. [Google Scholar] [CrossRef]
  119. Troseid, M.; Lappegard, K.T.; Claudi, T.; Damas, J.K.; Morkrid, L.; Brendberg, R.; Mollnes, T.E. Exercise reduces plasma levels of the chemokines MCP-1 and IL-8 in subjects with the metabolic syndrome. Eur. Heart J. 2004, 25, 349–355. [Google Scholar] [CrossRef] [Green Version]
  120. Yakeu, G.; Butcher, L.; Isa, S.; Webb, R.; Roberts, A.W.; Thomas, A.W.; Backx, K.; James, P.E.; Morris, K. Low-intensity exercise enhances expression of markers of alternative activation in circulating leukocytes: Roles of PPARgamma and Th2 cytokines. Atherosclerosis 2010, 212, 668–673. [Google Scholar] [CrossRef]
  121. Rose-John, S. Interleukin-6 Family Cytokines. Cold Spring Harb. Perspect. Biol. 2018, 10, a028415. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  122. Rose-John, S. IL-6 trans-signaling via the soluble IL-6 receptor: Importance for the pro-inflammatory activities of IL-6. Int. J. Biol. Sci. 2012, 8, 1237–1247. [Google Scholar] [CrossRef] [PubMed]
  123. 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] [PubMed]
  124. Muñoz-Cánoves, P.; Scheele, C.; Pedersen, B.K.; Serrano, A.L. Interleukin-6 myokine signaling in skeletal muscle: A double-edged sword? FEBS J. 2013, 280, 4131–4148. [Google Scholar] [CrossRef] [PubMed]
  125. Timper, K.; Denson, J.L.; Steculorum, S.M.; Heilinger, C.; Engstrom-Ruud, L.; Wunderlich, C.M.; Rose-John, S.; Wunderlich, F.T.; Bruning, J.C. IL-6 Improves Energy and Glucose Homeostasis in Obesity via Enhanced Central IL-6 trans-Signaling. Cell Rep. 2017, 19, 267–280. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  126. Lee, J.H.; Jun, H.S. Role of Myokines in Regulating Skeletal Muscle Mass and Function. Front. Physiol. 2019, 10, 42. [Google Scholar] [CrossRef]
  127. Yargic, M.P.; Torgutalp, S.; Akin, S.; Babayeva, N.; Torgutalp, M.; Demirel, H.A. Acute long-distance trail running increases serum IL-6, IL-15, and Hsp72 levels. Appl. Physiol. Nutr. Metab. 2019, 44, 627–631. [Google Scholar] [CrossRef]
  128. Lin, J.X.; Leonard, W.J. The Common Cytokine Receptor gamma Chain Family of Cytokines. Cold Spring Harb. Perspect. Biol. 2018, 10, a028449. [Google Scholar] [CrossRef]
  129. 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] [Green Version]
  130. Ikeda, S.I.; Tamura, Y.; Kakehi, S.; Sanada, H.; Kawamori, R.; Watada, H. Exercise-induced increase in IL-6 level enhances GLUT4 expression and insulin sensitivity in mouse skeletal muscle. Biochem. Biophys. Res. Commun. 2016, 473, 947–952. [Google Scholar] [CrossRef]
  131. Barra, N.G.; Palanivel, R.; Denou, E.; Chew, M.V.; Gillgrass, A.; Walker, T.D.; Kong, J.; Richards, C.D.; Jordana, M.; Collins, S.M.; et al. Interleukin-15 modulates adipose tissue by altering mitochondrial mass and activity. PLoS ONE 2014, 9, e114799. [Google Scholar] [CrossRef] [PubMed]
  132. Guo, L.; Liu, M.F.; Huang, J.N.; Li, J.M.; Jiang, J.; Wang, J.A. Role of interleukin-15 in cardiovascular diseases. J. Cell. Mol. Med. 2020, 24, 7094–7101. [Google Scholar] [CrossRef] [PubMed]
  133. Hingorjo, M.R.; Zehra, S.; Saleem, S.; Qureshi, M.A. Serum Interleukin-15 and its relationship with adiposity Indices before and after short-term endurance exercise. Pak. J. Med. Sci. 2018, 34, 1125–1131. [Google Scholar] [CrossRef] [PubMed]
  134. Nicola, N.A.; Babon, J.J. Leukemia inhibitory factor (LIF). Cytokine Growth Factor Rev. 2015, 26, 533–544. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  135. Brandt, N.; O’Neill, H.M.; Kleinert, M.; Schjerling, P.; Vernet, E.; Steinberg, G.R.; Richter, E.A.; Jorgensen, S.B. Leukemia inhibitory factor increases glucose uptake in mouse skeletal muscle. Am. J. Physiol. Metab. 2015, 309, E142–E153. [Google Scholar] [CrossRef] [Green Version]
  136. Broholm, C.; Mortensen, O.H.; Nielsen, S.; Akerstrom, T.; Zankari, A.; Dahl, B.; Pedersen, B.K. Exercise induces expression of leukaemia inhibitory factor in human skeletal muscle. J. Physiol. 2008, 586, 2195–2201. [Google Scholar] [CrossRef]
  137. Perakakis, N.; Triantafyllou, G.A.; Fernandez-Real, J.M.; Huh, J.Y.; Park, K.H.; Seufert, J.; Mantzoros, C.S. Physiology and role of irisin in glucose homeostasis. Nat. Rev. Endocrinol. 2017, 13, 324–337. [Google Scholar] [CrossRef] [Green Version]
  138. Colaianni, G.; Sanesi, L.; Storlino, G.; Brunetti, G.; Colucci, S.; Grano, M. Irisin and Bone: From Preclinical Studies to the Evaluation of Its Circulating Levels in Different Populations of Human Subjects. Cells 2019, 8, 451. [Google Scholar] [CrossRef] [Green Version]
  139. Liu, Y.; Zhu, C.; Guo, J.; Chen, Y.; Meng, C. The Neuroprotective Effect of Irisin in Ischemic Stroke. Front. Aging Neurosci. 2020, 12, 588958. [Google Scholar] [CrossRef]
  140. Arhire, L.I.; Mihalache, L.; Covasa, M. Irisin: A Hope in Understanding and Managing Obesity and Metabolic Syndrome. Front. Endocrinol. 2019, 10, 524. [Google Scholar] [CrossRef] [Green Version]
  141. Elkina, Y.; von Haehling, S.; Anker, S.D.; Springer, J. The role of myostatin in muscle wasting: An overview. J. Cachexia Sarcopenia Muscle 2011, 2, 143–151. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  142. Braga, M.; Reddy, S.T.; Vergnes, L.; Pervin, S.; Grijalva, V.; Stout, D.; David, J.; Li, X.; Tomasian, V.; Reid, C.B.; et al. Follistatin promotes adipocyte differentiation, browning, and energy metabolism. J. Lipid Res. 2014, 55, 375–384. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  143. Gonzalez-Gil, A.M.; Elizondo-Montemayor, L. The Role of Exercise in the Interplay between Myokines, Hepatokines, Osteokines, Adipokines, and Modulation of Inflammation for Energy Substrate Redistribution and Fat Mass Loss: A Review. Nutrients 2020, 12, 1899. [Google Scholar] [CrossRef] [PubMed]
  144. Deng, B.; Zhang, F.; Wen, J.; Ye, S.; Wang, L.; Yang, Y.; Gong, P.; Jiang, S. The function of myostatin in the regulation of fat mass in mammals. Nutr. Metab. 2017, 14, 29. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  145. Hittel, D.S.; Axelson, M.; Sarna, N.; Shearer, J.; Huffman, K.M.; Kraus, W.E. Myostatin decreases with aerobic exercise and associates with insulin resistance. Med. Sci. Sports Exerc. 2010, 42, 2023–2029. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  146. Konopka, A.R.; Wolff, C.A.; Suer, M.K.; Harber, M.P. Relationship between intermuscular adipose tissue infiltration and myostatin before and after aerobic exercise training. Am. J. Physiol. Integr. Comp. Physiol. 2018, 315, R461–R468. [Google Scholar] [CrossRef]
  147. Lizcano, F. The Beige Adipocyte as a Therapy for Metabolic Diseases. Int. J. Mol. Sci. 2019, 20, 5058. [Google Scholar] [CrossRef] [Green Version]
  148. Wang, G.X.; Zhao, X.Y.; Lin, J.D. The brown fat secretome: Metabolic functions beyond thermogenesis. Trends Endocrinol. Metab. 2015, 26, 231–237. [Google Scholar] [CrossRef] [Green Version]
  149. Rao, R.R.; Long, J.Z.; White, J.P.; Svensson, K.J.; Lou, J.; Lokurkar, I.; Jedrychowski, M.P.; Ruas, J.L.; Wrann, C.D.; Lo, J.C.; et al. Meteorin-like is a hormone that regulates immune-adipose interactions to increase beige fat thermogenesis. Cell 2014, 157, 1279–1291. [Google Scholar] [CrossRef] [Green Version]
  150. AlKhairi, I.; Cherian, P.; Abu-Farha, M.; Madhoun, A.A.; Nizam, R.; Melhem, M.; Jamal, M.; Al-Sabah, S.; Ali, H.; Tuomilehto, J.; et al. Increased Expression of Meteorin-Like Hormone in Type 2 Diabetes and Obesity and Its Association with Irisin. Cells 2019, 8, 1283. [Google Scholar] [CrossRef] [Green Version]
  151. Tanianskii, D.A.; Jarzebska, N.; Birkenfeld, A.L.; O’Sullivan, J.F.; Rodionov, R.N. Beta-Aminoisobutyric Acid as a Novel Regulator of Carbohydrate and Lipid Metabolism. Nutrients 2019, 11, 524. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  152. Roberts, L.D.; Bostrom, P.; O’Sullivan, J.F.; Schinzel, R.T.; Lewis, G.D.; Dejam, A.; Lee, Y.K.; Palma, M.J.; Calhoun, S.; Georgiadi, A.; et al. beta-Aminoisobutyric acid induces browning of white fat and hepatic beta-oxidation and is inversely correlated with cardiometabolic risk factors. Cell Metab. 2014, 19, 96–108. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  153. Dewal, R.S.; Stanford, K.I. Effects of exercise on brown and beige adipocytes. Biochim. Biophys. Acta Mol. Cell Biol. Lipids 2019, 1864, 71–78. [Google Scholar] [CrossRef] [PubMed]
  154. Begriche, K.; Massart, J.; Fromenty, B. Effects of beta-aminoisobutyric acid on leptin production and lipid homeostasis: Mechanisms and possible relevance for the prevention of obesity. Fundam. Clin. Pharmacol. 2010, 24, 269–282. [Google Scholar] [CrossRef] [PubMed]
  155. Stautemas, J.; Van Kuilenburg, A.B.P.; Stroomer, L.; Vaz, F.; Blancquaert, L.; Lefevere, F.B.D.; Everaert, I.; Derave, W. Acute Aerobic Exercise Leads to Increased Plasma Levels of R- and S-beta-Aminoisobutyric Acid in Humans. Front. Physiol. 2019, 10, 1240. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  156. Sanchez-Delgado, G.; Martinez-Tellez, B.; Olza, J.; Aguilera, C.M.; Gil, A.; Ruiz, J.R. Role of Exercise in the Activation of Brown Adipose Tissue. Ann. Nutr. Metab. 2015, 67, 21–32. [Google Scholar] [CrossRef] [PubMed]
  157. Global Recommendations on Physical Activity for Health; WHO Guidelines Approved by the Guidelines Review Committee. Available online: https://www.who.int/publications/i/item/9789241599979 (accessed on 15 March 2022).
  158. Campbell, J.P.; Turner, J.E. Debunking the Myth of Exercise-Induced Immune Suppression: Redefining the Impact of Exercise on Immunological Health Across the Lifespan. Front. Immunol. 2018, 9, 648. [Google Scholar] [CrossRef]
  159. Stefan, N.; Birkenfeld, A.L.; Schulze, M.B.; Ludwig, D.S. Obesity and impaired metabolic health in patients with COVID-19. Nat. Rev. Endocrinol. 2020, 16, 341–342. [Google Scholar] [CrossRef] [Green Version]
  160. Bornstein, S.R.; Dalan, R.; Hopkins, D.; Mingrone, G.; Boehm, B.O. Endocrine and metabolic link to coronavirus infection. Nat. Rev. Endocrinol. 2020, 16, 297–298. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Skeletal muscle as an endocrine organ: metabolic effects of muscle-contraction-induced myokines. Physical exercise stimulates myokine release showing endocrine function at target tissues level, including adipose organ, liver and endothelium. Indeed, the skeletal muscle secretome plays an essential role in the maintenance of whole-body metabolic homeostasis, regulating lipolysis, fat oxidation, inflammation and insulin sensitivity. In particular, myokines release induced by physical exercise contributes to the immune system stimulation, producing an anti-inflammatory cellular response with potential protective effects against infections. Abbreviations: TNF-α (Tumor necrosis factor-alpha), IL-1ra (Interleukin-1 Receptor Antagonist), IL-10 (Interleukin-10), PAI-1 (Plasminogen activator inhibitor-1), eNOS (Endothelial nitric oxide synthase), SOD1 (Superoxide Dismutase 1), SOD2 (Superoxide Dismutase 2), FGF21 (Fibroblast growth factor 21), BDNF (Brain-derived neurotrophic factor), MCP-1 (Monocyte chemoattractant protein-1), IL-6 (Interleukin-6), IL-15 (Interleukin-15), METRNL (Meteorin-like protein), BAIBA (Beta-Aminoisobutyric acid), MSTN (Myostatin), LIF (Leukemia inhibitory factor), (↓) decrease, (↑) increase.
Figure 1. Skeletal muscle as an endocrine organ: metabolic effects of muscle-contraction-induced myokines. Physical exercise stimulates myokine release showing endocrine function at target tissues level, including adipose organ, liver and endothelium. Indeed, the skeletal muscle secretome plays an essential role in the maintenance of whole-body metabolic homeostasis, regulating lipolysis, fat oxidation, inflammation and insulin sensitivity. In particular, myokines release induced by physical exercise contributes to the immune system stimulation, producing an anti-inflammatory cellular response with potential protective effects against infections. Abbreviations: TNF-α (Tumor necrosis factor-alpha), IL-1ra (Interleukin-1 Receptor Antagonist), IL-10 (Interleukin-10), PAI-1 (Plasminogen activator inhibitor-1), eNOS (Endothelial nitric oxide synthase), SOD1 (Superoxide Dismutase 1), SOD2 (Superoxide Dismutase 2), FGF21 (Fibroblast growth factor 21), BDNF (Brain-derived neurotrophic factor), MCP-1 (Monocyte chemoattractant protein-1), IL-6 (Interleukin-6), IL-15 (Interleukin-15), METRNL (Meteorin-like protein), BAIBA (Beta-Aminoisobutyric acid), MSTN (Myostatin), LIF (Leukemia inhibitory factor), (↓) decrease, (↑) increase.
Nutrients 14 02054 g001
Table 1. Evidence of increased severity of H1N1 influenza and COVID-19 in diabetes and obesity based on clinical studies.
Table 1. Evidence of increased severity of H1N1 influenza and COVID-19 in diabetes and obesity based on clinical studies.
Metabolic Alterations and Viral Infection Outcomes
First AuthorViral InfectionResultsType of PublicationCountry
Louie, J.K., 2011 [27]H1N1 InfluenzaHalf of 534 adult case patients hospitalized with 2009 H1N1 infection were obese. Extreme obesity (BMI ≥ 40 kg/m2) was associated with increased odds of death, thus representing an independent risk factor for mortality.ArticleCalifornia, USA
Kwong, J.C., 2011 [28]H1N1 InfluenzaLogistic regression to examine the association between BMI and hospitalization for selected respiratory diseases in a cohort of 82,545 adults over 12 influenza seasons (1996–1997 through 2007–2008) indicates that severely obese individuals (Class II or III, BMI > 35 kg/m2) with and without chronic conditions are at increased risk for respiratory hospitalizations during influenza seasons.ArticleCanada
Allard, R., 2010 [29]H1N1 InfluenzaDiabetes triples the risk of hospitalization after influenza A (H1N1) p and quadruples the risk of ICU admission once hospitalized.ArticleCanada
Pranata, R., 2021 [36]SARS-CoV-2A total of 34,390 patients from 12 studies were included in this meta-analysis. Increased BMI was associated with increased poor outcome in patients with COVID-19.Meta-AnalysisSeveral countries
Guo, W., 2020 [37]SARS-CoV-2COVID-19 patients with diabetes (n = 24) were at higher risk of severe pneumonia, release of tissue injury-related enzymes, excessive uncontrolled inflammation responses and hypercoagulable state associated with dysregulation of glucose metabolism. Diabetes should be considered as a risk factor for a rapid progression and bad prognosis of COVID-19.ArticleChina
Wu, J., 2020 [38]SARS-CoV-2Elevation of admission blood glucose level was an independent risk factor for progression to critical cases/death among non-critical cases in a cohort of 2041 consecutive hospitalized patients with COVID-19.ArticleChina
Abbreviations: BMI (body mass index), ICU (intensive care unit).
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Lombardo, M.; Feraco, A.; Bellia, C.; Prisco, L.; D’Ippolito, I.; Padua, E.; Storz, M.A.; Lauro, D.; Caprio, M.; Bellia, A. Influence of Nutritional Status and Physical Exercise on Immune Response in Metabolic Syndrome. Nutrients 2022, 14, 2054. https://doi.org/10.3390/nu14102054

AMA Style

Lombardo M, Feraco A, Bellia C, Prisco L, D’Ippolito I, Padua E, Storz MA, Lauro D, Caprio M, Bellia A. Influence of Nutritional Status and Physical Exercise on Immune Response in Metabolic Syndrome. Nutrients. 2022; 14(10):2054. https://doi.org/10.3390/nu14102054

Chicago/Turabian Style

Lombardo, Mauro, Alessandra Feraco, Chiara Bellia, Luigi Prisco, Ilenia D’Ippolito, Elvira Padua, Maximilian Andreas Storz, Davide Lauro, Massimiliano Caprio, and Alfonso Bellia. 2022. "Influence of Nutritional Status and Physical Exercise on Immune Response in Metabolic Syndrome" Nutrients 14, no. 10: 2054. https://doi.org/10.3390/nu14102054

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