The Exercise Training Modulatory Effects on the Obesity-Induced Immunometabolic Dysfunctions

Abstract

Reduced physical activity rate in people’s lifestyle is a global concern associated with the prevalence of health disorders such as obesity and metabolic disturbance. Ample evidence has indicated a critical role of the immune system in the aggravation of obesity. The type, duration, and production of adipose tissue-released mediators may change subsequent inactive lifestyle-induced obesity, leading to the chronic systematic inflammation and monocyte/macrophage (MON/MФ) phenotype polarization. Preliminary adipose tissue expansion can be inhibited by changing the lifestyle. In this context, exercise training is widely recommended due to a definite improvement of energy balance and the potential impacts on the inflammatory signaling cascades. How exercise training affects the immune system has not yet been fully elucidated, because its anti-inflammatory, pro-inflammatory, or even immunosuppressive impacts have been indicated in the literature. A thorough understanding of the mechanisms triggered by exercise can suggest a new approach to combat meta-inflammation-induced metabolic diseases. In this review, we summarized the obesity-induced inflammatory pathways, the roles of MON/MФ polarization in adipose tissue and systemic inflammation, and the underlying inflammatory mechanisms triggered by exercise during obesity.

Introduction

A recent revival in two fields of metabolism and immunology, known as immunometabolism, links metabolic status with systemic inflammation.¹ Discovering the tumor necrosis factor α (TNFα) production in adipose tissue (AT) was the first step towards developing the immunometabolism field.² Afterwards, uncovering the infiltration of macrophages (MФ) into white adipose tissue (WAT) shed light on the immunometabolism field.³ AT acts as a sensor of the metabolic state and an activator of endocrine organs, due in part to the secretion of more than 50 bioactive factors named adipokines.^1,4 Adipocytes, regarded as AT parenchymal cells, are the primary sources of AT energy storage and endocrine function. Maintaining AT homeostasis is managed by an interplay between immune, stromal (fibroblasts, adipocyte precursors, endothelial and endothelial smooth muscle cells), and parenchymal cells, named stromal vascular function (SVF).^1,5,6 Accordingly, the immune system preserves the homeostasis through the inhibition of inflammation and control of AT remodeling.⁷

An imbalanced lifestyle leads to the storage of excess calories in adipocytes, adipocytes hypertrophy, and WAT expansion which induces the extracellular space limitation and micro hypoxia.⁸ Following these morphologic changes, the expression of stressful ligands is promoted by adipocytes and SVF.⁹ Eventually, these events induce the impairment of AT homeostasis causing the development of a chronic low-grade systemic inflammation (LGSI) and meta-inflammation, which leads to cardiometabolic diseases.^2,10 Meta-inflammation, however, is considered to be different from a typical inflammation due to the type of activators, location of recruited immune cells, and duration and/or intensity of the immune system activities during an inflammatory state⁸ (Figure 1).

Figure 1.

A classic inflammation VS meta-inflammation. Both pathways induce an inflammatory state following the upregulation of same inflammatory genes and cytokines. An acute inflammation has been promoted by invasive exogenous pathogens leading to the stimulation of immune system that induces a high-intensity short-term local inflammation. In contrast, a meta-inflammation has been developed by the excess nutrient, endogen stimulants, causing immune system provocation and promoting a chronic LGSI.

Abbreviations: AT, adipose tissue; IL, interleukin; TNFα, tumor necrosis factor α; JNK, c-Jun N-terminal kinase; IKK, inhibitor of kappa light polypeptide gene enhancer in B-cells kinase; PKR, protein kinase R; NF-κB, nuclear factor kappa-light-chain-enhancer of activated B cells; IRF, interferon regulatory factor.

In recent years, due to uncovering the lower basal levels of inflammatory cells and cytokines among physically active individuals, exercise therapy has been frequently prescribed as a practical non-invasive approach for treating metabolic diseases.^11,12 Physical activities promote several anti-inflammatory mechanisms leading to improvements in metabolic status and inflammatory profiles.^13–15 Although doing an exhausting exercise like a marathon has been reported to have inflammatory features as a result of skeletal muscle damages, its valuable anti-inflammatory functions have been recognized even without an alteration of body weight.^16,17 In this review, we meticulously reviewed recent immunometabolism concerns including adipose tissue macrophages (ATM) phenotypes and progenitors (monocytes) and their alteration during obesity and after exercise training. Then, we specifically described toll-like receptor (TLR) 4 signaling and its negative regulators as an important pathway in inflammation. Finally, we discussed whether inflammatory cells, cytokines, and TLR4 mediators have been affected by exercise training, suggesting the alteration of obesity-induced inflammatory status.

The Role of the Immune System in Adipose Tissue Homeostasis

A scientific revolution has been developed by revealing a strong association between the nutrient sensors and immune signals.¹⁸ Different types of immune cells accumulated in the lean adipose tissue (LAT) induce type 2 immune responses to inhibit the inflammatory pathways and maintain the tissue homeostasis. This is characterized by the anti-inflammatory cytokine accumulation, such as interleukin (IL)-5/13/4/10.¹⁹ The main source of IL-4 production is eosinophils (EOSs),²⁰ and the visceral adipose tissue-resident EOSs survival is dependent on IL-5 produced by innate lymphoid cells-2 (ILC-2).²¹ Additionally, MФs are the prevalent cells in LAT, and M2 macrophages have anti-inflammatory features which mainly generate the anti-inflammatory mediators such as IL-10.²² Conversely, reduced EOSs in visceral adipose tissue²³ have been accompanied by diminished frequencies of adipose tissue anti-inflammatory macrophages (M2ATM) in rats.^20,23 Notably, exclusion of any part of the ILC2/EOS/M2ATM axis leads to the increase of the inflammatory cytokine levels, which develops insulin resistance (IR) in VAT. Several studies have shown that this axis is a critical regulatory mechanism in AT homeostasis.^20,21,24 Additionally, VAT endothelial cells and fibroblasts predominately produce IL-33 belonging to the IL-1 superfamily. This cytokine preserves the AT homeostasis by maintaining the type 2 immune cells such as ILC2 and M2ATM.²⁵ Interestingly, IL-33 receptor-blocking has reduced EOSs frequencies in VAT.²⁶ Its exogenous consumption has been accompanied by an increase in ILCs and EOSs as well as IL-5 values.²¹ Besides, the invariant-chain natural killer T cells (iNKT), pronounced as the second group of immune cells, play an effective role in the maintenance of anti-inflammatory ATM levels. Surprisingly, iNKT cells omission has reduced IL-13 and IL-4 levels and increased inflammatory ATM in AT.²⁷ On the other hand, the regulatory T cells (Treg) are a population of T cells directly involved in the inhibition of AT inflammation. These cells rely on the production of IL-33 in AT and produce anti-inflammatory cytokines like IL-10 to suppress the inflammatory immune cells activation.^28,29 Also, IR improvement has been witnessed following a Treg cell transition to T cell-deficient animals with a diet-induced obesity (DIO).³⁰ In addition to immune cells, adipocytes promote the LAT homeostasis by producing the anti-inflammatory adipokines such as adiponectin. The adiponectin expression reduces the inflammatory MФs (M1) rate, and the high levels of its receptors are expressed in M2. Adiponectin develops its immunomodulating impacts by IL-10 induction, interleukin-1 receptor antagonist (IL-1Ra) production, and nuclear factor-kappa B (NF-κB) pathway inhibition in M2ATM.³¹

In this sense, obesity-induced adipose tissue morphologic alterations affect the number and phenotype of immune cells. Preserving the M2ATM phenotype which predominantly depends on the anti-inflammatory cytokines and type 2 immune responses seems to have a critical role in modulating an inflammatory state in the AT.

Alteration of Macrophage Characters as a Result of Obesity-Induced Low-Grade Systemic Inflammation

A high caloric diet promotes many changes in AT which induce AT remodeling. Studies have shown that these changes lead to the formation of a significant number of crown-like structures (CLS).^32,33 These structures have been demonstrated as a single dead adipocyte in human and rat obese adipose tissue (OAT) surrounded by MФs.^34,35 It is noticed that CLSs are the prominent characters of AT homeostasis disturbance which lead to LGSI.^8,34 In this context, the obesity classification based on the numbers of metabolic syndrome (MetS) disorders correlates with the percentage of CLSs.⁵ Furthermore, the association of CLSs with IR,³⁶ cardiovascular diseases (CVD), and cancer prognosis³² has been reported. Importantly, the presence of dead adipocytes persists even up to 30 folds in OAT, while ATMs prominently gather around these cells.³³

MФs, the heterogeneous group of innate immune cells, are the integral component of mammal tissues. More than 10–15% of cells in all tissues are MФs, which have a hematopoietic or an embryonic origin.^32,37 Indeed, MФs are the strong arm of the innate immunity and perform a wide range of functions through phenotype distinction. Due to their phenotype polarization in a different environment and pathologic condition, they can adopt distinct functional phenotypes.³⁸

In AT, MФs play multiple roles in host defense (via formation and elimination of an inflammatory response), tissue development, monitoring of tissue alternations (by sensing invading molecules with their various sensors) and particularly maintaining tissue homeostasis (via clearance of aged and apoptotic cell and/or tissue remodeling and repairing).^32,37 Thus, it seems that ATMs act as a significant contributor in AT functions. The entire adipocyte counts are defined during childhood and remain unchanged during the lifespan.³⁹ Therefore, a cycle of cell death and replacement of adipocytes regularly occurs in AT, where ATMs have pivotal roles in these processes.³⁵ In other words, ATMs have considerable capacity for both eliminating the dead adipocytes and inhibiting the CLS formation in AT homeostasis.³⁵ Although ATMs are the qualified phagocytic cells, they play a significant role during acute metabolic functions. A rapid ATM recruitment is revealed in AT during lipolysis. These cells acquire an inflammatory phenotype and start lipid buffering to supervise the gradient of the lipid released to circulation gradually by collecting and depositing excess released fatty acids.⁴⁰ Both increased MФs accumulation in AT (from 10% in LAT to 40% in OAT) and/or lipid-enriched MФs in CLSs have been shown during obesity.³ Therefore, elevated serum levels of non-esterified fatty acid (NEFA), cholesterol, and lipopolysaccharide (LPS) are commonly found in obese individuals.⁴¹ It indicates a completely unsuccessful attempt of ATMs in buffering AT lipids.^35,42 In this situation, the integrated interaction between the adipocytes and MФs of CLSs leads to generating and maintaining the chronic LGSI.³³

As a result of the expression of chemoattractant factors, such as C-C motif ligand (CCL) 2/5, C-X-C motif ligand (CXCL) 1, and IL-6 in OAT, a cascade of immune cells moves toward the OAT. Interestingly, production of CCL2/monocyte chemoattractant protein-1 (MCP-1) has been frequently shown in adipocytes during obesity. Following the interplay between CCL2 and its receptor (CCR2) on monocytes (MONs), MONs chemotaxis and MФ accumulation are promoted constantly.^35,43 IL-6 is known as a pro-inflammatory cytokine. The IL-6 receptor (IL-6R) trans-signaling develops through the proteolysis of IL-6R from the invading neutrophils (NEUs) to the AT. The soluble form of IL-6R (sIL-6R) provokes recruitment of other MONs chemoattractant factors including CCL2, CCL8, CXCL5, and CXCL6.⁴⁴ Moreover, enhanced MON to MФ differentiation has been reported in IL-6 trans-signaling, leading to increased production of macrophage-colony stimulating factor (M-CSF) receptor (M-CSFR).⁴⁵ Additionally, ATM recruitment has been decreased after high-fat diet (HFD) through blocking of IL-6 trans-signaling.⁴⁶ The fractalkine, named C-X3-C motif ligand (CX3CL) 1, is also another adipokine which is associated with diabetes. Several investigators have demonstrated a direct relationship between fractalkine and glucose and insulin levels. Thus, the serum levels of CX3CL1 could be anticipated in MetS progression.^47,48 Additionally, the fractalkine receptor (CX3CR1) has been regarded as an impressive mediator for recruiting the leukocyte/MONs into the AT during obesity.⁴⁹ Interestingly, prescribing TNFα inhibitor to reduce inflammation is suggested for individuals with obesity and diabetes since it reduces the circulating plasma levels of other inflammatory factors like C-reactive protein (CRP) and IL-6.⁵⁰ Furthermore, omission of the TNFα converting enzyme (TACE) in OB mice has revealed protecting functions of TACE against IR and T2D so that it can be considered a potential treatment approach in obesity-induced metabolic disorders.⁵¹

Although the control of MONs recruitment in AT is essential to inhibit LGSI, the expression of inflammatory cytokines (IL-6/1β and TNFα) from hypertrophied adipocytes and obesity-induced serum lipids at high levels such as free fatty acids (FFAs) can also promote the macrophage polarization. These new MФs have distinct features from resident ones.^32,52 Indeed, MФs can perform their functions by an intricate phenotype distinction from an anti-inflammatory healing/proliferating phenotype (M2 MФs, alternative) to an inflammatory inhibiting/killing phenotype (M1 MФs, classical).⁵³ Many studies have shown influential regulatory cascades connected to M1/M2 polarization. At the cell level, these pathways are intracellular signals promoted by regulatory molecules, including ligands, receptors, kinases, and cytokines.^32,54,55 The M1/M2 pattern describes a various integrated program of MФ activation and function and demonstrates a better understanding of the MФ activities.^37,56

The axis of M2 polarization refers to the type 2 cytokines, including IL-4/10/13 that are activated by recruiting anti-inflammatory transcription factors, while the M1 polarization axis is activated by both pathogen-associated molecular patterns (PAMPs) like LPS and damage-associated molecular patterns (DAMPs) including oxidized-low-density lipoprotein (ox-LDL) and FFAs^32,42,56 (Table 1). Indeed, the M1 relates to an inflammatory profile because of stimulating the inflammatory cytokine expression, which is accompanied by a destructive function in tissues that either derive or maintain chronic LGSI and IR consequently.⁵⁶ Remarkably, the systemic IR is generated by both changing insulin receptor signaling in metabolic tissues³³ and activating inflammatory mediators such as c-Jun N-terminal kinases (JNK)-1/2,⁵⁷ I kappa-B kinase (IκBK),⁵⁸ extracellular signal-regulated kinase (ERK)-1/2,⁵⁹ and mitogen-activated protein kinase (MAPK) in MФs.⁶⁰ However, the M2 group, which has an extreme phagocytic capacity and immune cell suppression capability, preserves the extracellular matrix components and AT homeostasis.⁵⁶ The ratio of M2: M1 (4:1) in LAT demonstrates the ability of the tissue to maintain the homeostasis.⁶¹

Table 1.

M1/M2 Macrophage Differences

	M2	M1
Activator factors	IL-4, IL-13, IL-10, PPARγ agonists	PAMPs: LPS, FFAs, GM-CSF, IFN-γ, TNF-α,
		DAMPs: HSPs, ox-LDL
Cell surface markers	CD206, CD163, CCR2low, CXCR1, Dectin-1, scavenger receptors	CD80, CD86, CD11c, CCR7, CCR2hi, CCR5, CD62L
Recruited transcriptional factors	PPARα/β/γ, FIZZ-1, KLF-4, HIF-2, IRF4, Chi3l3	STAT1, IRF3, IRF5, HIF-1α, NF-κB, AP-1
Cytokine expression	IL-10, TGF-β	IL-1β, IL-23, IFN-γ
Chemokine expression	CCL17, CCL18, CCL22, CCL24	CCL8, CCL15, CCL19, CCL20, CXCL9, CXCL10, CXCL11, CXCL13

Abbreviations: IL, interleukin; PAMPs, pathogen-associated molecular patterns; LPS, lipopolysaccharide; FFAs, free fatty acids; GM-CSF, granulocyte-macrophage colony-stimulating factor; IFN-γ, interferon- γ; TNFα, tumor necrosis factor α; DAMPs, damage-associated molecular patterns; HSPs, heat shock proteins; ox-LDL, oxidized low-density lipoprotein; CD, cluster of differentiation; CCR, C-C chemokine receptor; hi, high expression; CCL, C-C chemokine ligand; PPAR, peroxisome proliferator-activated receptors; FIZZ, found in inflammatory zone; HIF, hypoxia-inducible factor; IRF, interferon regulatory factor; CXCR, C-X-C chemokine receptor; CXCL, C-X-C chemokine ligand; Chi3l3, chitinase 3-like 3; STAT, signal transducer and activator of transcription; NF-κB, nuclear factor kappa-light-chain-enhancer of activated B cells; AP-1, activator protein 1; TGF-β, transforming growth factor-β.

Initiation of Adipose Tissue Inflammation

Considering the histological characteristics, AT inflammation has been determined by an increase in AT-infiltrating immune cells, mainly MФs. Moreover, cytotoxic T lymphocyte (CTL) accumulation and a decrease in NEU frequencies have been found during inflammation in AT.⁸ Interestingly, the early stage of HFD-induced obesity is specified due to higher lipid level of adipocytes and accumulation of immune cells in VAT.⁷ In obesity, the LGSI persists following the impairment of a feed-forward cycle in immune cell recruitment. In other words, an increase in inflammatory cytokines leads to the recruitment, infiltration, differentiation, and activation of a higher number of immune cells. Animal surveys have reported that accumulated cells in AT following the first week of HFD are NEUs, MФs, and natural killer cells (NK cells).⁵⁹ Indeed, HFD-induced microenvironment changes in AT are accompanied by both the accumulations of chemoattractive inflammatory proteins and the alterations of AT oxygen consumption. These acute stresses are critical events in NEU recruitment during the first few days of HFD.⁶² However, the other immune cells (ATM and NK cells) accumulate with a delay following the HFD.⁷ Circulating NEUs are the main source of infiltrated NEUs in AT⁶³ even though the NK cells may originate from the proliferation of tissue-resident cells.⁶⁴ The MФ influx is more complicated than NEU and NK cells because of the proliferation of tissue-resident MФs⁶⁵ and their accelerated infiltration in VAT during chronic inflammation.⁶⁶

Although the immune cell infiltration always induces the inflammatory factors in OAT, the phenotype of recruited leukocytes can influence the MФ polarity. Accordingly, the leukocyte subclasses (considered the VAT inflammatory markers), systemic inflammation, and obesity-related cardiometabolic disease risk factors have recently attracted researchers’ attention.

From Monocyte to M1/M2 Macrophage Differentiation

Sub-Classes of Receptors-Determined Monocyte Features

Cell biology investigations have frequently published the pleiotropic functions of MONs and MФs. MONs constitute 2–8% of the entire circulating leukocytes in bone marrow, spleen, and blood.⁶⁷ Typical features of these cells include irregular cellular shapes with a kidney or an oval-like nucleus and a high ratio of cytoplasm to the nucleus.³⁷ MONs have 1–3 days of half-life during steady-state conditions,⁶⁸ and if they migrate into other tissues, they can differentiate into tissue MФs where they engulf molecules or cells via phagocytosis. MФs, then, possess a larger periphery, longer lifetime (up to several months), and more phagocytic features than MONs.⁶⁹ Nevertheless, MONs which do not migrate into the tissues (in order not to participate in an immunity response) will die after these few days.³⁷ They initially act as environmental sensors and also participate in the replenishment of dendritic cells (DC) and MФs.⁶⁸ The hematopoietic function of the MON/MФ progenitor is regulated by the PU.1 transcription factor and important cytokines such as IL-34 and M-CSF.⁷⁰ These cytokine interacts with M-CSFR and activates their target cells.⁷¹ However, their activities rely on granulocyte-macrophage colony-stimulating factor (GM-CSF) during inflammation.⁷² In recent years, a challenging issue is the function of various MONs sub-populations in different inflammatory status. In other words, the features of circulating MONs can determine their fate in the tissues, suggesting alterations of the MФs polarization pathway toward M1 or conversely being transitioned into M2 type.

The human’s MON heterogeneity is categorized based on the expression of two types of cell surface markers, including CD14 and CD16 (lipopolysaccharide-binding and Fc-γ ΙΙΙ receptor, respectively).⁷³ The CD14⁺CD16⁻ MONs are greatly phagocytic and have a higher capacity of ROS production and expression of CX3CR1 (increasing the accumulation of MONs during inflammation) and lower expression of CCR2 (increasing the chemotactic features of MONs during inflammation) in comparison with CD14⁺CD16⁺ MONs.⁷⁴ In recent years, a more accurate classification has been made for MONs sub-population: CD14⁺⁺CD16⁻ classical MONs (CMs), CD14⁺CD16⁺ intermediate MONs (IM), and CD14⁺CD16⁺⁺ non-classical MONs (NCM)⁷⁵ (Table 2). Seventy to eighty percent of the entire MONs population are CMs, which produce CD62L, CCR2, and CX3CR1 in high and low levels, respectively. They are incredibly phagocytic as a result of providing a high level of IL-10 and a low level of TNFα following LPS stimulation.^74,76 Regarding the gene’s profile, the expression of angiogenesis, wound healing, and inflammation-related genes have been shown in CMs.⁷⁷ In contrast, IMs which include 2–11% of whole MONs, induce inflammatory responses through producing high levels of TNFα and IL-1β following LPS stimulation.⁷⁶ The evaluation of their gene profile has revealed two functions including the presentation of antigens and activation of T-cells.⁷⁷ During inflammation, these two groups of MONs initiate an inflammatory response following a connection to the cell membrane through CCR2/CCL2 and/or CCR5/CCL5. Then, these cells invade the surrounding tissues that depend on vascular cell adhesion molecule-1 (VCAM-1) or CD106 and its ligand (very late antigen-1).⁶⁸ The NCMs make up 2–8% of the total circulating MONs. They participate in blood vessel patrolling and tissue infiltrating by CX3CR1/CCL3 depending on intercellular adhesion molecule-1 (ICAM-1) or CD54 and its ligand (leukocyte function-associated antigen-1). Additionally, NCM displays a high production of IL-1β and TNFα in response to pathogenic fragments.⁷⁶ The IMs and NCMs are regarded as inflammatory MONs.^68,78

Table 2.

Monocyte Subsets and Feature

Subsets	Cell Percent	Surface Markers	Gene Profile	Chemokine Receptors	Productions	Functions
Classical	∼ 90	CD14⁺CD16⁻	Angiogenesis, wound healing, inflammation	CCR2hi, CX3CR1lo, CD62L+, CD64−, CD163+	ROS, IL-10hi, TNFαlow	Phagocytic actions
Intermediate	∼ 10	CD14⁺CD16⁺	T cell activation, antigen presenting action	CCR2mi, CX3CR1hi, CD62L+, CD64−, CD163+	IL-1βhi, TNFαhi	Inflammatory actions
Non-classical	2–8	CD14⁺CD16⁺⁺	Monitoring, inflammation,	CCR2lo, CX3CR1hi, CD62L−, CD64+, CD163−	IL-1βhi, TNFαhi	Vessel patrolling

Abbreviations: CD, cluster of differentiation; CCR, C-C chemokine receptor; hi, high expression level; mi, medium expression level; lo, low expression level; CX3CR, C-X3-C chemokine receptor; CXCR, C-X-C chemokine receptor; IL, Interleukin; TNFα, tumor necrosis factor α; ROS, reactive oxygen species.

Although similar MONs sub-classes are thoroughly defined in humans and mice, their precise roles, markers, and the fate of each sub-class during an inflammatory status largely remains unclear. To shed light on the fate of MONs in humans, it is useful to evaluate the identical molecules between circulating MONs and tissue-resident MФs during inflammatory responses.

Monocyte-Derived Macrophages and Its Subsets During Obesity

During the last two decades, the role of ATMs in the development of metabolic disorders has been well documented. A significant rise of MФ counts has demonstrated in OAT in comparison with LAT.^3,79 In this context, peripheral blood mononuclear cells (PBMCs), MONs and LYMs, which are affected by systemic environmental factors, might be pre-programmed due to the prolonged exposure to dyslipidemia, hyperglycemia, and inflamed metabolic organs-induced inflammatory molecules. These cells are recruited into the AT and generate the tissue-resident MФs.⁸⁰ In other words, the tissue-resident M2ATM which may experience a phenotype distinction toward M1ATM during obesity^42,54,81 can adopt the inflammatory features of the circulating MONs, causing alteration of MФs pathway polarization.^33,37,67 This is in line with the development of tissue infiltration of MONs to different organs including liver, pancreas, and AT, which undergo a complete transformation toward tissue-resident MФs and develop a local inflammatory state.⁸¹ As a result of the high capability of infiltration and accumulation of MONs in inflamed sites, it is logical that these pre-programmed cells mainly participate in chronic LGSI.⁶⁸ Notably, the gene expression of PBMCs participated in energy metabolism and IR are different in subjects with obesity, suggesting a relationship between these cells and obesity-induced immunometabolic disorders.⁸² Due to the higher number of MONs in individuals with overweight (OW) and OB compared to lean subjects, it is noticed that higher recruitment of MONs, in spite of macrophage proliferation, could be more critical in obesity-induced inflammation.⁸³ The average number of MONs associates with body mass index (BMI)²³ and a higher prevalence of MetS.⁸⁴ However, these relations have not been reported in all surveys,⁷⁸ and even a negative association has been demonstrated between the percentage of MONs and BMI.⁸⁵ A sex-dependent association, furthermore, has been noticed between the average number of MONs and BMI.²³ More investigators were interested in these immunometabolic-dependent responses when a higher expression of specific MONs markers (CD11b) was reported in the OB state compared with lean. This increase also correlated with a higher insulin resistance index (homeostasis model assessment of insulin resistance (HOMA-IR)).⁸⁵ CD11b is a cell surface receptor of MONs that promotes their infiltration into the endothelium by binding to both ICAM-1 and VCAM-1.⁸⁶ Remarkably, a significant rise in CD11b expression is accompanied by MetS incident-related factors. Moreover, its expression level correlates with glucose and triglyceride (TG) levels.⁸⁷ Specifically, a significant development of CD16⁺ frequencies (IM and NCM) has been evidenced during OB state, which associated with morbidities ranging among patients with obesity.⁷⁸ MONs of the patients with obesity with no comorbidities, in vitro, produce higher TNFα at basal level and also acquire increased sensitivity to LPS stimulation compared with lean subjects.⁸⁸ Evaluation of the specific markers of M1 (TNFα and IL-6) and M2 (IL-4 and IL-10) in MONs of the non-diabetic individuals demonstrates their inflammatory features in comparison with lean individuals as a result of the higher level of M1 markers in their MONs.⁸⁹ Interestingly, evaluation of the M1 marker messenger ribonucleic acid (mRNA) expression has clarified an association between IL-6 and low-density lipoprotein cholesterol (LDLc) levels. Also, IL-6 and TNF-α concentrations have correlated with BMI values.⁸⁹

Beside the evaluation of M1 markers, the mRNA expression of M2 markers associates with some clinical parameters. The MONs of individuals with obesity and diabetes are less responsive to differentiation into M2 than lean individuals.⁸⁰ Garton et al reported that the IL-10 mRNA expression levels associate with an increase in either the diastolic blood pressure or the glycated hemoglobin (HbA1c) values. Also, mRNA expression of CD163, which contributes to anti-inflammatory signals via IL-10 mediated-protein kinase B pathway,⁹⁰ has decreased in patients with obesity and diabetes, which is associated with fasting insulin, HbA1c, and endothelial function index (pales wave velocity (PWV)).⁸⁹ Increasing TNF-α production following LPS stimulation has also associated with TG and insulin concentrations in OB individuals without obesity-induced comorbidities.⁸⁸

More specifically, CD14⁺⁺CD16⁺ cells are reported to have a positive association with the cardiometabolic disorder risk factor, including total cholesterol, LDL, high-density lipoprotein (HDL)/LDL, and TG/HDL ratio. On the contrary, a negative relation of CD14⁺CD16⁺⁺ cells with total cholesterol and TG has been demonstrated in individuals with OW and obesity.⁹¹ Additionally, a higher frequency of IM MONs has been shown in individuals who had three or more MetS criteria compared to metabolically healthy people.⁹² Adiponectin is an anti-inflammatory adipokine that contributes to maintaining the anti-inflammatory status through the expression of two types of the receptor (adipoR1/R2) on many kinds of cells including liver, MONs, skeletal muscle, and AT cells.^93–95 The adiponectin plasma values have inversely correlated with CRP and TNF-α levels.⁵ Taking into consideration that MФs participate in both the lipolysis homeostasis³⁵ and the foam cells formation in AT,⁴¹ adiponectin inhibits the transformation of MФs into foam cells and reduces lipid accumulation into MONs-derived MФs.⁹⁶ Also, it has been reported that reduction of MФs infiltration, promotion of M2 polarization, and decline of chemokine expression are provoked by adiponectin.^22,97,98

Considering the accumulation of MФs in AT during obesity, investigators have demonstrated other pathways resulting in the higher number of ATM. Additionally, the proliferation of tissue-resident MФs has been shown to be fully independent from AT MONs influx. In this regard, the populations of hematopoietic progenitor cells have been detected in WAT. These progenitors differentiate into cell lineages, including myeloid and lymphoid. This capacity of local precursors is remarkably similar to hematopoietic cells derived from bone marrow progenitors.^99,100 In vitro isolated pre-adipocytes are also involved in ATM production.¹⁰¹ Interestingly, these cells carry out MФ functions such as phagocytosis and production of some specific antigens of MФs such as CD45, macrophage-1 antigen and F4/80.¹⁰² Furthermore, a local tissue-resident proliferation of MФs is revealed during obesity. Due to the reduction of ATM apoptosis during obesity, other recruitment mechanisms have suggested that they are independent of circulating MONs influx to AT, causing an increase in ATM count in OAT.¹⁰³

On the whole, in recent years, discovering more ATM and distinction of MФ phenotypes in OAT have started a debate among researchers about the ATM origin in lean and obese AT. During obesity, recognizing the identical cell surface receptors among tissue-resident MФs and circulating immune cells, evaluation of inflammation-associated gene expression changes in ATMs and circulating immune cells, and origin tracing of tissue-resident MФs by cutting-edge technology may be helpful for a thorough understanding of ATMs origins during obesity. Both bone-marrow-derived pathways and local mechanisms are known as possible determinant ways which alter the tissue-resident MФ counts and phenotypes. It is interesting to determine the ways that are activated by obesity-induced inflammatory status. Thus, recognizing the primary regulatory factors in ATM counts and their phenotype distinction may provide a new therapeutic approach to inhibit and suppress the obesity-induced inflammation.³⁴

Underlying Cellular Mechanisms of LGSI During Obesity

Pattern Recognition Receptors

As previously mentioned, there is a chronic low-grade systemic inflammation in the development of cardiometabolic disorders and other obesity-related diseases.^18,104,105 Since this inflammation has inner-body sources, which is initiated by endogenous elements such as FFAs, cholesterol, heat shock proteins (HSP), and glucose, it is named sterile inflammation.^106–108 At the cell level, these molecules provoke inflammation through two entirely distinct pathways, including TLRs and inflammasome receptor engagement.^106,109 These are pattern recognition receptors (PRR) that originally belong to the innate immune system, modulating an appropriate immune response between both innate and adaptive immunities. They can recognize some parts of molecules, including PAMPs and DAMPs. Indeed, these molecules are produced by invaded pathogens or damaged cells, respectively.^110,111 The recognition of both PAMPs and DAMPs provides massive protection against exogenous pathogens through eliminating them, which enhances homeostasis status via producing an appropriate response to endogenous components.¹¹²

Briefly, the inflammasome is a multiprotein complex with the oligomerization of two proteins, including nucleotide-binding domain-like receptor and apoptosis-related speck-like protein.¹¹³ The inflammasome complex is triggered by sensing some intracellular events such as cell death, metabolic changes, and inflammation.¹¹⁰ Eventually, activation of this multiprotein engages caspase-1 (an enzyme involved in IL-18 and IL-1β maturation process), promoting the initiation of inflammatory cascades.¹¹⁴

The critical role of TLRs is understood in both innate and adaptive immunity.¹¹¹ Interestingly, TLRs activities have increased in obesity and MetS that probably contribute to chronic inflammatory status.^104,115-117 TLRs family are regarded as one of the main cellular transmembrane PRRs which include 13 members 10 of which are only discovered in humans (type 1 to type 10).^112,118 TLR family are expressed in different cells such as MФs, NK cells, MONs, LYMs, fibroblasts, endothelium, and epithelium (immune and non-immune tissues).^111,117 Cells use different processes to recognize their specific ligands depending on their type.¹¹⁰ TLR1/2/4/5/6/9 are detected on the cell membrane. Nevertheless, TLR3/7/8/9 are expressed on internal components of the cells, such as endosomes.^104,110 In recent years, TLRs are classified based on ligand features, for instance, TLR1/2/6/10 belong to the same category.¹¹² Moreover, some types are reported to participate in autoimmune diseases, including TLR2/3/4/7/8/9.¹¹⁹ TLR1-9 types are expressed in hepatocytes, kupffer cells, hepatic DCs, and adipocytes during HFD, suggesting their possible involvement in liver fibrosis and meta-inflammation.^120,121

TLRs Signaling Pathway

Following the PAMPs or DAMPs recognition by TLRs, various transcriptional genes upregulate depending on the cells and TLR types.¹¹⁰ In fact, TLRs are the type І integral transmembrane glycoprotein which consists of three parts: 1) an extracellular domain arranging the ligand distinction; 2) a single transmembrane domain localizing the receptor on cell; and 3) a critical cytoplasmic tail, named toll/IL-1 receptor (TIR) domain, conducting the intracellular cascades. Due to the ability of TIR domain to recruit the different adaptors, it is known as the major TLR domain, which determines downstream cascades of each TLR.¹²² There are five different protein adaptors recruited by TIR domain including myeloid differentiation factor 88 (MyD88), TIR-domain containing adaptor-inducing interferon-β (TRIF) also known as TIR-domain containing molecule 1 (TCAM1), TIR-domain containing adaptor protein (TIRAP) also known as MyD88 adaptor-like (Mal), TRIF-related adaptor molecule (TRAM), sterile α- and armadillo-motif containing protein (SARM).^110,111,122 Different signaling pathways triggered by TLRs activation are generally dependent on MyD88 recruitment. They are recruited in two entirely distinct signaling cascades: TRIF-dependent pathway also named non-MyD88 or MyD88-independent pathway, and MyD88-dependent pathway inducing interferon (IFN) regulatory factors (IRF), activator protein 1 (AP-1) and NF-κB activation in downstream^112,115 (Figure 2B). MyD88-dependent pathway is activated following the recruitment of IL-1R-associated kinase (IRAK) family,¹²³ including IRAK-1/2/3/4. IRAK4 is reported to be the most important one in TLR response since individuals with IRAK4 deficiency showed a considerable reduction in TLR activities.¹²⁴ Consequently, TNF-receptor-associated factor 6 (TRAF6) joins to this complex, which results in NF-κB activation via phosphorylation of its inhibitor kinases (inhibitor of kappa light polypeptide gene enhancer in B-cells kinases, IKK protein complex). However, in the non-MyD88 pathway, TIRF recruitment leads to IRF3 activation.^122,125 All types of TLRs, except TLR3, only activate the MyD88-dependent pathway.

Figure 2.

LPS transferring pathway and modulation of TLR4 signaling cascade. (a) TLR4-MD2 complex and LPS recognizing: TLR4 signaling cascade is activated following LPS sensing mediated by three different protein activities, causing both ligand recognizing and transferring to receptor. The LBP-LPS complex is recognized by CD14, TLR4 co-receptor, leading to TLR4 cascade activation. (b) TLR4 protein adaptors and negative regulators: TLR4 signaling necessitates recruiting two main adaptors, including MyD88 and TRIF. Activation of other mediators causes the phosphorylation of some proteins which leads to the translocation of inflammatory transcription factors into nucleus, inducing effective inflammatory genes upregulation. Modulating of TLR4 is mediated by the negative regulator proteins in different stages (TLR4 sensing ligand, CD14, adaptor recruitment, transcriptional factor activation, transcriptional factor translocation, gene transcription) to either control the excessive response of TLR4 or suppress its activities at an effective time following an inflammatory response.

Abbreviations: TLR4, toll-like receptor 4; LPS, lipopolysaccharide; LBP, LPS-binding protein; CD, cluster of differentiation; MD2, myeloid differentiation factor 2; MyD88, myeloid differentiation factor 88; TRIF, TIR domain-containing adaptor-inducing IFN-β; TIRAP, TIR domain-containing adaptor protein; TRAM, TRIF-related adaptor molecule; IRAK, IL-1R-associated kinase; TRAF6, TNF-receptor-associated factor 6; IKK, inhibitor of kappa light polypeptide gene enhancer in B-cells kinase; IL, interleukin; MAPK, mitogen-activated protein kinase; TNFα, tumor necrosis factor α; JNK, c-Jun N-terminal kinase; AP-1, activator protein 1; NF-κB, nuclear factor kappa-light-chain-enhancer of activated B cells; IRF, interferon regulatory factor; p, phosphorylation.

TLR4, however, recruits four types of main adaptors and activates both downstream pathways.^122,126 Hence, TLR4 is a crucial TLR and it has even been recognized as an M1 marker due to participating in M1/M2 ATM polarization during obesity.^38,127 Additionally, gene expression of TLR4 has been associated with the concentration of cardiometabolic markers.¹²⁸ TLR4 and TRIF gene expression, however, have not been changed among obese individuals with or without MetS and abdominal obesity.¹²⁹ TLR4 endogenous ligands such as LPS, saturated fatty acid, and ox-LDL are abundantly produced during obesity.^130–134 HSPs are another TLR ligand which restores tissue homeostasis. HSP72 levels that have a protective role in IR during obesity drop in individuals with diabetes.¹⁰⁸ In this case, upregulating both TLR2/4 transcription factors and their adaptors have been demonstrated in either in-vitro or animal studies during obesity.^{131,132,135,136} Despite MyD88 down-regulation, adipocytes treatment in a high concentration of SFA (2mM, 48 hrs) has indicated an upregulation in NF-κB and TLR4 levels.¹³² It seems that TLR4 acts as an intermediate molecule among the excess nutrient, innate immunity, and inflammation since glucose metabolism and obesity-induced IR are ameliorated in TLR4 knock-out in mice with HFD.¹³¹ Adipocytes treatment with LPS in individuals with obesity and T2D has stimulated secretion of a high concentration of IL-6 and TNFα, while NF-κB blockage has led to reducing these levels.¹³⁵ Furthermore, TLR2 expression has increased in MONs and adipocytes in HFD mice.¹³⁶ Further human findings are summarized in Table 3.

Table 3.

Human Studies Outcome Related to TLRs

	TLR Type	Target Tissue	Subjects	Evaluated	Evaluated Cytokines	Results
Ahmad, et al (2012) 137	TLR2 TLR4	• PBMC • AT	OW/OB T2D	MyD88, IRAK1, TRAF6	IL-6, TNFα	• ↑ MyD88, IRAK1, TRAF6 gene expression in PBMC in OB & OW compared to lean • ↑ TLR2 & TLR4 gene expression in scAT in OB compared to lean and OW • ↑ MyD88 gene expression in scAT in OB
Reyna, et al (2008) 138	TLR2 TLR4	Muscle	OB T2D	IκBα NF-κB	IL-6, TNFα, SOD2	• ↑ TLR4, IL-6, TNFα, SOD2, IkBα gene expression & protein content
Creely, et al (2007)135	TLR2 TLR4	Abdominal subcutaneous AT (scAT)	OB T2D	NF-κB MyD88 TRAF6	IL-6, TNFα	• ↑ TLR2, MyD88, TRAF6 gene expression & protein content • ↑ IL-6 & TNFα expression following LPS stimulation • ↑ TNFα plasma levels
Arias-Loste, et al (2016) 139	TLR2 TLR6	• PBMC • Liver biopsy	OB NAFLD	-	IL-6, TNFα, IL-1β	• ↑ TLR2/6 in PBMC in OB • ↑ TLR6 in liver cell • ↑ IL-6, TNFα, IL-1β upregulation in hepatocytes • ↑IL-6 secretion in PBMC following TLR2/6 stimulation • ↑ TNFα & IL-1β in PBMC in response to TLR2 provocation
Ahmad, et al (2015) 140	TLR2 TLR4	ScAT	OW/OB T2D	MyD88 IRAK1	IL-6, TNFα, IL-18,	• ↑ IRAK1 gene expression & protein content & positive significant correlation with TLR2 & MyD88 gene expression • ↑ IL-6, TNFα & IL-18 plasma levels & positive significant correlation with IRAK1 gene expression
Gupta, et al (2017) 141	TLR1-10	• MONs • NEU	OB T2D	-	IL-10, IL-6, CRP, IL-8, TNFα, IFN-β, IL-8, IL-1β, IFN-γ, IL-12	• No difference in plasma level of all cytokine except IFN-β (poor glycemic control) • ↑ IFN-β, IL-6 gene expression in MONs and NEUs • ↑ TLR1,3,5,7–10 in MONs
Thomas, et al (2017)142	TLR2 TLR10	ScAT	OW/OB T2D	-	TNFα, IL-23, CXC10, CCL5, CCL2, CCR5, IL-12A	• ↑ TLR10 gene expression that correlated with TLR2, TNFα, IL-23, CXC10, CCL5, CCL2, CCR5, IL-12A
Cuevas, et al (2017) 143	TLR4	• ScAT • VAT (surgery)	OB MetS	MyD88 PAI-1	IL-6, TNFα	• ↑ MyD88 gene expression in ScAT that correlated with TLR4 & PAI-1 • No significant trend in expression of TLR4, PAI-1, IL-6
Amiri, et al (2018) 144	TLR2 TLR4	PBMC	OB IR	MyD88 NF-κB TRIF	-	• ↑ TLR4 gene expression in OB with IR. • No change in gene expression of TLR2, MyD88, NF-κB & TRIF between IR & non-IR

Note: Arrows indicate significance at P-values ≤0.05.

Abbreviations: TLR, toll-like receptor; PBMC, peripheral blood mononuclear cell; AT, adipose tissue; OW, overweight; OB, obese; MyD88, myeloid differentiation primary response 88; T2D, type 2 diabetes; IRAK1, interleukin-1 receptor-associated kinase 1; TRAF6, tumor necrosis factor receptor (TNFR)-associated factor 6; IL, interleukin; TNFα, tumor necrosis factor α; scAT, subcutaneous adipose tissue; IκBα, nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor alpha; NF-κB, nuclear factor kappa-light-chain-enhancer of activated B cells; SOD2, superoxide dismutase 2; LPS, lipopolysaccharide; NAFLD, non-alcoholic fatty liver diseases; MONs, monocytes; NEU, neutrophils; IFN, interferon; CCR, C-C chemokine receptor; PAI-1, plasminogen activator inhibitor-1; CCL, C-C chemokine ligand; CXCR, C-X-C chemokine receptor; VAT, visceral adipose tissue; IR, insulin resistance; TRIF, toll-interleukin-1 receptor domain-containing adapter protein inducing interferon β; non-IR, non-insulin resistance.

LBP/TLR4/CD14 Axis

The activation of TLR4 signaling is associated with LPS representative proteins, including LPS-binding protein (LBP), and LPS chaperon protein (CD14 or LPS receptor) (Figure 2A). LBP is demonstrated to accelerate the connection of ligand to the receptor. In other words, initiation of TLR4 signaling cascades relies on the recognition of the LPB-LPS complex by the membrane-bound CD14 (mCD14).¹⁴⁵ In this context, the higher levels of both LBP and CD14 can promote TLR4 activities. Interestingly, obesity-induced increased level of LPS serum has shown some difficulties in modulating inflammation expansion, suggesting a noticeable role of TLR4 in obesity and metabolic dysfunction.¹³⁰ In this regard, the soluble form of CD14 (sCD14), mainly produced by MONs and hepatocyte,¹⁴⁶ can represent the LPS to TLR4 in certain types of cells that do not express mCD14 abundantly such as non-myeloid lineage cells.¹⁴⁷ Although LBP serum levels are not changed in OB individuals without MetS, TLR4, and TRIF mRNA expression levels have significantly correlated with LPB serum levels among them.¹²⁹ Importantly, some evidence has shown the roles of CD14 and sCD14 in obesity-related diseases such as IR, steatohepatitis, and MetS.^148–150 TLR4 signaling also depends on a co-receptor named myeloid differentiation factor-2 (MD2), so that MD2 deficiency leads to hepatocyte resistance in diet-induced steatohepatitis.¹⁵¹ Thus, interrupting the cooperation of the LBP/TLR4/CD14 axis by any molecules such as the soluble form of TLR4 could ameliorate the TLR4 signaling.¹⁵²

Negative Regulators of TLR4

As far as TLR4-associated domain activities are concerned, modifying super strong inflammatory productions of TLR4 signaling, including IFN-γ, TNFα, IL-6/8/12/1β, and inducible nitric oxide (iNOS) is noticeably significant.^104,120 Accordingly, the activities of the TLR4 signaling cascade must be tightly regulated to avoid its harmful effects. In this case, there are various intracellular integrated mechanisms, named negative regulators, which naturally modulate the excessive responses of TLR4 signaling^{111,120,125,152,153} (Figure 2B). Different features of these negative regulator proteins, which determine their functions, are dependent on the cell type and duration of secretion. Even though some of these proteins are expressed continuously in some cells, others are secreted during the activation of TLR4 pathway itself.¹⁵³ These molecules are shown to promote distinct inhibitory mechanisms in different stages of TLR4 signaling cascade, including the connection of ligand and receptor, signaling transduction by adaptor recruitment, molecule translocation, transcriptional phase of proteins, and TLR4 co-receptor sensing.^125,153 These various functional abilities of negative regulators give them a considerable power to control the cascade activities, the magnitude and peak of the response, duration of signaling, and sensitivity to initiate an immune response¹⁵³ (Figure 2). For instance, the gene expression-associated IRF5 is suppressed by IRF4 connection to MyD88.¹⁵⁴

Furthermore, a direct connection of SARM adaptor protein to TRIF suppresses the activities of TRIF.¹⁵⁵ The decoy receptors of cell surface such as growth stimulation expressed gene 2 (ST2) inhibits TLR4 signaling in MONs through disconnecting MyD88 or Mal and the receptor.¹⁵⁶ Also, NF-κB activation is inhibited by ubiquitin-specific protease 4 connection to TRAF6.¹⁵⁷ A20 protein, also known as TNF alpha-induced protein 3 (TNFAIP3), has shown to inhibit both dependent and independent MyD88 pathways of TLR4 by the suppression of TRAF6 and NF-κB activation.^158,159 Also, mice MФs with lack of TNFAIP3 produce a higher concentration of inflammatory cytokines.¹⁶⁰

Therefore, the obvious understanding of TLRs domain function during meta-inflammation could offer a treatment for obesity-associated LGSI and disorders. Besides, there is scarce evidence about negative regulator expression and function during obesity. The interaction of different negative regulators during meta-inflammation has made an exciting research gap since the existence of such chronic inflammation is probably related to the inefficient functions of negative regulators.

Exercise Training as a Therapeutic Intervention in Obesity-Induced Immunometabolic Disturbance

Exercise Training and Chronic Inflammation

Worldwide change in lifestyles, a combination of being sedentary and consuming high caloric nutrients, has accelerated obesity. An inactive lifestyle explains obesity and metabolic disorders.¹⁶¹ As obesity is accompanied with various morbidities, it has put a burden on different societies in recent years. The excess nutrients play the role of metabolic ligands, which promote chronical activation of the inflammatory pathways leading to immunometabolic disturbance.^104,115 An intriguing relation has been demonstrated between CRP values and a lower percentage of body fat among men with obesity.¹⁶² In this sense, the inverse association of aerobic fitness and physical activities with inflammation levels and lower share of inflammatory MONs (CD14⁺CD16⁺) has been reported, respectively.^11,163 Besides, a lower TNFα, CRP production and CD14⁺CD16⁺ percentage have been demonstrated in physically active individuals compared to inactive people.^11,12 It seems that exercise training induces calorie usage accompanies by metabolic health and inflammatory status improvement.¹⁶⁴ However, its potential immunomodulatory molecular mechanisms are not thoroughly evaluated. The produced myokines through exercise training probably interfere with the inflammatory pathways.^165,166 For instance, irisin, an adipomyokine and exercise mediator, correlates with metabolic condition¹⁴ and interferes in TLR4/MyD88 activities.¹⁵ These positive effects of exercise could be independent of adiposity alterations.¹⁷ Also, inflammatory condition improvement has been reported in elder subjects through MyD88/non-MyD88 TLR2/4 cascades following resistance training.¹³ Several animal studies have demonstrated exercise benefits to inhibit inflammation in OB mice through the reduction of MФs infiltration, an increase of M1 to M2 polarization, and amelioration of insulin pathway.^167–169

Furthermore, recent investigations on humans have revealed the provocation of mechanisms associated with M2 markers following exercise.^170,171 Additionally, the improvement of chemotactic status, leukocyte functions,^171,172 MONs differentiation,^92,173 insulin sensitivity,¹⁷⁴ the reduction of inflammatory markers, metabolic health-related risk factors,^174–176 and circulating inflammatory MONs^11,12 emerge following different exercise training protocols. In fact, the beneficial impacts of exercise training are induced by both immune and metabolic-related cells, such as adipocytes, hepatocytes, and myocytes.¹⁶⁶ Exercise training prescription for improving the immunometabolic disorders is explained by AT differences between lean and obese conditions. In other words, it should be noted that not only the increase of adiposity but also the imbalance of immune cell counts have been demonstrated in OAT compared with LAT. Obesity is accompanied by a higher MФ percentage (40% in obese and 10% in lean), immune cell infiltration, remodeling, and death of adipocytes.^34,35 In this sense, the positive impacts of a volunteered exercise training protocol are shown to be related to the reduction of adipocyte size, CLS formation, and immune cell recruitment in OAT in mice.¹⁷⁷

In contrast, an acute swimming protocol does not affect CLS,¹⁶⁸ suggesting exercise intensity-dependent immunomodulatory responses.¹⁷⁸ CLS reduction is followed by a decrease in the gene expression of inflammatory markers, and consequently, suppression of inflammation. In this way, inflammatory status and insulin function have been reported to be ameliorated in SVF even after an exercise session because of TNFα, CCL2, and IL-1β downregulation.¹⁶⁸ Reduction of TNFα and IL-6 gene expression and also amelioration of insulin signaling have induced in AT, skeletal muscles, and liver following a session of swimming.¹⁷⁹ Additionally, a 6-week running has led to TNFα and CCL2 downregulation in HFD-induced obesity¹⁸⁰ that is equal to 15 weeks of walking, which reduce TNFα in abdominal scAT of individuals with obesity.¹⁷⁴ Men with OW and obesity who participated in a 2-week short-term high-intensity interval training (HIIT) (6 sessions) have also shown a reduction of IL-6 and adiponectin in AT. In this study, not only is ICAM-1 mRNA level constant but also mRNA of TNFα, IL-10, and CCL2 are not detected.¹⁷⁶ Participating in a 3-month moderate aerobic exercise training has been reported to upregulate HSP60, IL-6, and TNFα among people with obesity and T2D.¹⁸¹ However, reduction of HSp60 and HSP70, higher IL-10, and unchanged values of TNFα mRNA expression have been reported following 8-week resistance training in elder healthy subjects.¹³ In this state, a significant reduction of TNFα protein levels is found following a whole-body vibration in dynamic or static exercise among elder subjects with OW. The increase of IL-10/TNFα ratio has also been noticed due to the rise of IL-10 gene expression and protein contents.¹⁸²

Exercise Training and M1/M2 Polarization Markers

In addition to exercise impacts on AT inflammatory status, exercise training greatly influences MФs infiltration and M1/M2 polarization markers in AT. The chemotactic state of leukocytes is essential in recruiting the leukocytes into inflammatory sites.^35,43 For instance, CCL2, which contributes to obesity-associated MФs infiltration into the AT,⁶⁶ is downregulated following a moderate-intensity protocol. Infiltration of NEUs, MONs, and T cells, in contrast, rises by high-intensity training among subjects with obesity and sedentary lifestyle due to higher CCR5 expression on CM and IM. Unchanged body weight demonstrated that AT alterations have not affected the plasma concentration of these chemoattractant proteins, indicating a direct impact of exercise on the pathways-induced expression of chemotactic chemokine receptors.¹⁷² In this way, the lower expression of inflammatory markers such as CD14 and CD68 has been found in subjects with obesity following exercise.¹⁷⁴ On the contrary, a 12-week endurance exercise has increased the CD68⁺ inflammatory MФs in scAT in men with OW.¹⁸³ Evaluating of exercise-promoted M1/M2 gene expression has shown anti-inflammatory impacts of moderate-intensity endurance training. M2 markers, including IL-10 and dectin-1, are upregulated following 8-week moderate treadmill running in MONs of females with OW and obesity. Despite increasing TNFα gene expression, CCL2 expression, known as the M1 marker, is reduced after the exercise. M2 marker upregulation could be partially associated with the peroxisome proliferator-activated receptors (PPAR)-γ pathway. The PPAR-γ mRNA levels of obese MONs, however, have not changed significantly following exercise. Interestingly, the upregulation of either PPAR-γ target genes (CD63 and liver X receptor α) or its intracellular ligand generation has increased considerably following an 8-week running in MONs.¹⁷⁰

Exercise Training and mRNA Expression Changes

Exercise-induced AT and ATM mRNA expression changes are reflected in circulating plasma markers. The baseline concentration values of IFN-γ, IL-6/17a, and CRP correlate with BMI and IL-10 among adults with OW and obesity.^11,171 Also, an acute HIIT treadmill running has led to a fall in IL-8 (CXCL8) and a simultaneous increase of IL-10 plasma concentrations in OW/OB compared to the lean group. IL-8, CCL2, and IL-6 baseline values, however, have been reported to be unequal among the subjects.¹⁷⁸ Individuals with OW and obesity have initially shown higher values compared to the lean. Patients with obesity and T2D have the higher circulating concentrations of high-sensitive CRP (hsCRP), endothelin-1, and soluble ICAM-1 (sICAM-1) compared with lean and obese. Also, the endothelial function did not improve after a 2-week aerobic cycling protocol in these subjects and no change has been found in the circulating levels of endothelin-1, and sICAM-1 following exercise training.¹⁸⁴ A single session of HIIT cycling training has induced a 20% reduction of produced TNFα following LPS stimulation among individuals with obesity and T2D. In contrast, a 12-week resistance training (with/without diet control) has affected neither TNFα nor IL-6 levels following LPS stimulation among post-menopausal subjects with OW and obesity.¹² Also, the plasma levels of these inflammatory cytokines have decreased immediately after exercise in both subjects with obesity and T2D (14%) and healthy normal weight (44%).¹⁸⁵ Dorneles et al¹⁸⁶ revealed that IL-10, IL-6, and transforming growth factor (TGF)-β serum levels are increased following an acute HIIT protocol while the circulating values of TNFα and IL-17a have shown no significant change after exercise. Despite rising plasma level of IL-6 in both acute high-intensity and moderate-intensity training, circulating levels of leptin and IFN-γ decreased immediately after HIIT protocol in men with obesity.

Meanwhile, the concentration level of IL-4 has increased immediately after training. Thus, HIIT-induced reduction in the ratio of IFN-γ/IL-4 shows a positive immunomodulatory response of exercise training.¹⁸⁷ In contrast, based on a study on the exercise training-promoted M2 markers (IL-4, IL-13, etc.), no changes were observed in serum concentrations of either IL-4 or IL-13 following an 8-week moderate aerobic training protocol in female adults with OW and obesity.¹⁷⁰ Barry et al¹⁸⁸ have reported no alteration in TNFα, IL-6, and IL-10 serum concentrations after both short-term HIIT and moderate-intensity interval training (MICT). Also, two short protocols with different intensities do not affect the IL-10/6/1β and TNFα serum concentrations in prediabetic OW/OB females.¹⁸⁹

Additionally, the inhibitory function of IL-10 on TNFα expression has decreased after two different protocols.¹⁸⁸ However, exercise-induced positive effects on immunity have been shown by other studies where the exercise has reduced circulating MCP-1 and CRP and increased adiponectin in subjects with obesity.¹⁷⁴ These results are in line with the significant reduction of sIL-6R and MCP-1 reported after 2 weeks of HIIT in men with OW and obesity. However, lower circulating adiponectin concentration and unchanged values of TNFα and IL-10 are also reported in this study.¹⁷⁶ Although the plasma values of IL-17a/6 and IFN-γ have shown no change following a 12-week concurrent training, the concentration of hsCRP and IL-10 increased significantly.¹⁷¹ Liu et al¹⁷⁵ have demonstrated higher serum values of IL-18, a marker associated with T2D development, in individuals with T2D than in the healthy ones. Following a combined aerobic and resistance training (IT group), IL-18 levels have decreased compared with T2D subjects who only received a diet control intervention and continued their conventional drugs (CT group). They have also shown lower circulating levels of IL-33, a regulatory marker of NF-κB, in both groups in comparison with the healthy control group, and interestingly, these values have increased in IT compared to CT.¹⁷⁵ However, the levels of cytokines related to diabetes initiation and development (Pentraxin 3 and chitinase-3-like-protein 1)^190,191 have introduced no significant changes among the three groups before and after exercise intervention.¹⁷⁵ Although the serum levels of HSP60 have increased following a 3-month aerobic exercise, a significant reduction is shown in individuals with obesity and diabetes.¹⁸¹ The potential impacts of exercise training on the immune system are also found by increasing the serum level of adiponectin and IL-10 in OW/OB women after water running.¹⁹² In addition to increased adiponectin serum concentration, the IL-15 levels have increased following a 24-week combined exercise in adult men with obesity.¹⁶² Obesity-induced reduction of IL-15 myokine levels has correlated with the percentage of body fat. This noticable result has presented an axis from muscle to AT (muscle-to-fat axis) which suugests the regulatory roles of this myokine in body fat function.¹⁹³ However, aerobic training has increased the leptin and IL-6 circulating levels in individuals with OW.¹⁸³ In this way, the increasing level of hsCRP and TNFα emerge after a 12-week combined exercise,¹⁷¹ a finding which is not consistent with Park et al. They have reported a significant decrease in TNFα serum concentration following a 12-week combined exercise in postmenopausal women with obesity.¹⁹⁴ Also, a 24-week combined exercise has reduced CRP serum levels by about 118% in adult men with obesity that led to an improvement in their CVD risk classification to the low-risk category.¹⁶² Neither resistance training nor diet restriction with resistance training has changed the CRP and adiponectin serum levels.¹² Additionally, neither HIIT nor MICT has significantly influenced the chemokine-induced AT leukocyte infiltration because of unchanged serum levels of CCL2, CCL3, and CXCL8 in adults with obesity.¹⁷² A significant decrease in IL-10 levels has been reported following a 20-week combined training, although the positive effects of this protocol are demonstrated by greater IL-10/TNFα ratio.¹⁹⁵ Due to the preventive effect of resistance training with higher volume and/or frequency on increase of IL-6 and CRP levels,^196,197 an exercise training method-induced higher energy expenditure has been proposed to be more effective in reducing inflammatory mediators.^198,199 Serum analysis by the nuclear magnetic resonance technique has provided some signals used in evaluating the clinical conditions.²⁰⁰ GlycA is one of the novel biomarkers which attributes in systemic inflammation. It is associated with circulating levels of fibrinogen, TNFα, CRP, and IL-6.²⁰¹ Also, its reduction has been demonstrated among sedentary prediabetic adults following a six-month exercise training. Interestingly, this reduction is associated with visceral adiposity reduction, suggesting a mechanism related to VAT modulation for reducing GlycA.²⁰²

Exercise Training and Circulating Leukocyte Features

Although a thorough evaluation of adipocyte functions is needed in the homeostasis of the immune system, the VAT biopsy is not easily accessible in human studies.⁶⁷ As ATM polarization is initially followed by a distinction of various subsets of circulating immune cells, it seems that the potential immunomodulatory abilities of exercise could be evaluated by investigating the circulating leukocyte features. ATMs are mostly generated from bone-marrow-derived circulating MONs during inflammation,³⁷ and their pre-programming could occur by being exposed to obesity-caused hyperglycemia and dyslipidemia.⁸⁰ In this sense, a wide range of responses is found among leukocytes after different exercise protocols. A half-marathon running by trained individuals has led to higher number of NEUs and lower percentage of MONs and LYMs, 30 mins after exercise remaining even after 3 hrs.²⁰³ Besides, an increased total number of leukocytes have been shown immediately and 2 hrs after a treadmill running bout with either low-intensity or high-intensity VO_2peak among healthy young subjects. In this condition, only the increase in LYMs, MONs, and NEUs has been significant.²⁰⁴ However, exercise-caused leukocyte mobilizing is shown to be independent of metabolic conditions (one or more MetS criteria existence). A very short bout of cycling training has induced similar effects on circulating leukocyte among individuals with obesity and with/without MetS.⁹² Additionally, a 2-week combined endurance and resistance training protocol have not affected the MONs subset proportion.²⁰⁵ Leukocyte, LYMs, and MONs numbers of elderly subjects are also affected by a 12-week concurrent training.²⁰⁶ Also, neither MICT nor HIIT induced significant impacts on the number of leukocytes, granulocytes, and MONs in OB adults in a ten-week period.¹⁷² Meanwhile, in a study that compared two bouts of HIIT and MIIT protocols, the leukocyte, LYMs, and MONs numbers significantly increased after two protocols. But these results are shown only after HIIT in the lean group, where a significant increase is reported in the total number of leukocytes and MONs.¹⁷⁸ Matos et al¹⁷³ have evaluated the CD16⁺ inflammatory MONs among people with both obesity and different insulin sensitivity. They have notified a higher CD16⁺ MONs percentage in subjects with insulin resistance that had a positive correlation with fasting insulin and BMI. However, this higher percentage is not found in obese individuals with T2D.¹⁸⁵ Exercise training has been shown to modify CD16⁺ MONs in the obese with insulin resistance. The percentage of this MONs subset fell 1 hr after a moderate cycling bout in the lean and obese subjects with/without IR.¹⁷³ These results were partially in line with another study that evaluated the acute response of leukocyte numbers by a HIIT protocol among individuals with obesity and T2D. The total leukocyte and NEU counts of people with T2D obese have been significantly higher than healthy subjects with normal weight. The exercise-promoted immunity positive impacts have also been notified when the counts of total leukocytes (CD16⁺ MONs, CMs, and NEUs) that significantly increased immediately after exercise reduced 1 hr after training in comparison with before-exercise levels.¹⁸⁵ In this regard, Dorneles et al¹⁸⁶ have found similar results. Following an HIIT session, the total number of leukocytes has shown a 27% increase as a result of the 41% and 59% increase in LYMs and MONs, respectively.¹⁸⁶ However, a comparison of two short-term protocols (HIIT and MIIT) has demonstrated no changes in CD15⁺ NEUs, CD14⁺ MONs, and LYMs counts in prediabetic females with OW and obesity.¹⁸⁹ Also, two weeks of HIIT could not influence EOS, lymphocyte, NEU, basophils, and MON counts as well as CM, IM, NCM percentage among young adults with sedentary lifestyle.²⁰⁵ It has been suggested that both human body defense system and disease susceptibility could improve by moderate-intensity exercise. In fact, the improvement of leukocyte function has been revealed by a moderate concurrent exercise that induced a reduction in CD4⁺ LYMs.¹⁷¹ Especially, the percentage of inflammatory MONs has reduced about 64% following a long-term combined exercise protocol in elderly sedentary individuals with obesity¹¹ while it has not been reported after a resistance one. They found that exercise intervention with diet restriction could not decrease the percentage of CD14⁺CD16⁺ MONs in subjects with OW and obesity. Only individuals with OW (not OB) showed a reduction of CD14⁺CD16⁺ MONs frequency, where they participated in the exercise training group without a restricted diet.¹² These exciting results verify the potential of exercise training compared with diet intervention. Additionally, obesity-caused CD4⁺ dysfunction is reported to limit the tumor suppression and promoting tumor growth activities.¹⁰⁵ Even though the counts of T cell subsets (CD4⁺, CD3⁺, and CD8⁺) are not affected by exercise, T-cells-related immunity is improved by higher CD28 (a critical receptor for T cell-associated immune response) and CD80 expression levels on CD8⁺ and CD14⁺ cells, respectively.²⁰⁶

Exercise Training Affects TLR4 Pathway

Phenotype alterations of immune cells are accompanied by the molecular changes in immune cells influencing on systemic inflammatory status even without alterations of circulating cytokine concentrations.¹⁷² Investigations of PBMC-related transcriptome have shown various pathways that play notable roles in energy metabolism, inflammation, IR, and cancer. Associations of PBMCs with development and exacerbation of obesity have been shown by diversity in PBMC gene expression profiles (TLR, MAPK, and NF-κB pathways) among individuals with normal weight and OW. The increased gene expression involved in inflammatory pathways such as CD19 is demonstrated in PBMCs in OW subjects. The metabolic condition variations of these subjects are associated with the different status of their obesity.⁸² Immunomodulating roles of the both acute and chronic exercise training protocols are displayed following the suppression of these inflammatory pathways, including TLR2/4 activities.^13,185 However, there is conflicting evidence about the inhibitory effects of exercise in animal and human studies.¹¹⁷ TLR4 gene expression has been decreased following a 16-week treadmill running and an 8-week swimming in AT of OB mice.^167,179 This reduction is also demonstrated in the liver and skeletal muscles that all express the higher levels of TLR4 at the baseline following HFD. Besides, TLR4 downstream activities evaluating by MyD88 and IKKβ expression fell after exercise in these tissues.¹⁷⁹ Due to the release of anti-inflammatory myokines such as irisin, IL-10, and adiponectin after exercise, it seems that exercise modulates immune responses through suppressing the TLR4 activities.^15,207 However, there is no clear evidence in this area because increased IRAK-1 mRNA levels in DIO mice are not affected by exercise.¹⁷⁹ Based on the effects of physical activity on the human body, investigators proposed different mechanisms to evaluate the TLR4 cascade in response to exercise. In this context, exercise-training-induced reduction of FFA circulating levels has been shown following a 12-week cycling,²⁰⁸ suggesting an explanation for reducing the TLR4 activities. Also, concerning obesity-increased LPS concentration,¹³⁰ the reduction of both LPS and TLR4 co-receptor (CD14) is revealed following a 12-week combined exercise training among postmenopausal women with obesity, suggesting exercise-induced immune function amelioration.¹⁹⁴ Table 4 illustrates the results of human studies evaluating the TLR2/4 responses to the exercise training.

Table 4.

Outcomes of Human Studies on TLR2/4 Following the Exercise Interventions

	Subjects	Training Protocol	TLR Type	Target Tissue	Down-Stream Molecules	Results
Durrer, et al 2017185	• T2D • Male/Female • OW/OB • 55–65 years	• A single HIIT bout: 7*1 min cycling with 85% peak power	TLR2 TLR4	MONs Neutrophil	-	• ↓ TLR2 contents on classical and CD16+ MONs • No effect on CD16+ NEUs TLR2 levels • No effect of exercise on TLR4 expression on any cell types
Timmerman, et al 200811	• Sedentary • Male/Female • OB • 65–80 years	• 12 weeks • Combined protocol, endurance training: 20 min treadmill walking & resistance training: 2*8 sets upper/lower-body movements	TLR4	MONs	-	• No exercise effect on TLR4 gene expression levels
Child, et al 2013205	• Sedentary • Male • OW/OB • 19–29 years	• 2 weeks, 3 days/week • HIIT, 6*4-min cycling 85% VO2peak	TLR2 TLR4	MONs	-	• No exercise effect on TLR2 gene expression levels. • ↑ TLR4 on CD14+ MONs
Markofski, et al 201412	• Sedentary • Male/post-menopausal female • OW/OB	• 12 weeks, 3 days/week • Resistance training	TLR4	MONs	-	• No exercise effect on TLR4 gene expression on both CD14+CD16+ & CD14+CD16−
Rodriguez-Miguelez, et al 201413	• healthy • Male/Female • 65–78 years	• 8 weeks, 2 days/week • Resistance training	TLR2 TLR4	PBMCs	MyD88, TRIF, IRF3, p65, IRF7	• ↓ protein contents of TLR2/4, MyD88, TRIF, P65 & phosphorylated IRF3/7
Robinson, et al 2015189	• prediabetes • Male/Female • OW/OB • 40–60 years	• 2 weeks/10 session • HIIT: 4–10*1 min cycling, 85–90% HRpeak • MICT: 1*20 min continuous cycling, 60–65% HRpeak	TLR2 TLR4	MONs NEUs LYMs	-	• ↓ TLR4 on LYM, CD14+ MON after HIIT (25%) & MICT (15%) • ↓ 15% TLR4 on CD15+ NEU only after MICT • ↓ 5% TLR2 on LYM after training • No change in TLR2 levels on CD15+ NEU & CD14+ MON
Liu, et al 2015175	• T2DM • Male/Female • OW/OB • 41–64 years	• 12 weeks, 3 days/week • combined home-based protocol Aerobic: 10–30 min with 40–60% VO2max Resistance: 50–60% 1RM by elastic band	TLR4	PBMCs	NF-κB	• ↓ Gene and protein levels of TLR4 & NF-κBp65 after exercise
Rodriguez-Miguelez et al 2015182	• sedentary • Male/Female • OW • 68–72 years	• 8 weeks, 2 days/week • whole body vibration in static or dynamic exercise movements (half-squat, deep squat, & wide-stance squat)	TLR2 TLR4	PBMCs	MyD88, TRIF, p65	• ↓ Protein contents of TLR2, TLR4, MyD88 & TRIF after exercise • ↓ Expression of p65 following exercise training
Reyna, et al 2013184	• T2D • Male/Female • OW/OB • 38–53 years	• 2 weeks • aerobic training: 40 min cycling (4*10 min, 8 min 70% VO2peak, 2 min 90% VO2peak)	TLR2 TLR4	PBMCs	NF-κBp65	• unchanged protein content of TLR2, TLR4 and NF-κBp65 after exercise

Note: Arrows indicate significance at P-values ≤0.05.

Abbreviations: T2D, type 2 diabetes; OW, overweight; OB, obese; HIIT, high-intensity interval training; TLR, toll-like receptor; MONs, monocytes; CD, cluster of differentiation; NEUs, neutrophil; VO_2peak, peak oxygen uptake; PBMC, peripheral blood mononuclear cell; TRIF, toll-interleukin-1 receptor domain-containing adapter protein inducing interferon β; MyD88, myeloid differentiation primary response 88; IRF, interferon regulatory factor; HR_peak, peak heart rate; MICT, moderate-intensity continuous training; LYM, lymphocyte; VO_2max, maximum oxygen uptake; 1RM, one maximum repetition; NF-κB, nuclear factor kappa-light-chain-enhancer of activated B cells; T2DM, type 2 diabetes mellitus.

Exercise-induced immunomodulatory impacts are reported to be associated with TLR2/4 activities, which could be independent of adipose tissue weight loss. Exercise-associated TLR4 downregulation can develop as a result of the suppression of M1 MON infiltration, reduction of TLR4 ligand, blunting of the activators of TLR4 cascades, and promotion of M1 to M2 distinction in obese AT. The mechanisms require further detailed studies.

Conclusion

It is frequently proved that obesity is accompanied by the various disorders including systemic hypertension, T2D, dyslipidemia, and fatty liver due to the development of chronic inflammation. In other words, a systematic low-intensity inflammation is promoted during obesity, which is remarkably dissimilar to the classic one. It is recognized that this type of inflammation develops by the inner stimulants causing systemic inflammation. In this context, the storage of excessive nutrients in adipocytes of persons who are physically inactive leads to adipose tissue morphologic changes such as adipocyte hypertrophy. As a result, these hypertrophied cells provide hypoxic microenvironment and a constant increase of lipolysis leading to accelerated production of the inner motivators, including fatty acids and chemotaxis-related ligands.

On the one hand, as it is depicted in detail in Figure 3, circulating immune cells are probably stimulated by the enormous amounts of FFAs. Consequently, these stimulated receptors initiate the inflammatory signaling cascades and provoke down-stream gene transcription of inflammatory cytokines. Additionally, the hypertrophied adipocytes-induced hypoxia leads to the gradual cell death, creation of CLS, and activation of hypoxia-associated cytokines, providing a chemotactic environment. Therefore, the MON/MФ origin and their distinction pathways, which play pivotal roles in immunity induction and modulation, are affected by these AT changes, causing considerable M1ATM distinction. The increased expression of influential inflammatory transcription factors occurs due to the complicated relationship between the dead adipocytes and surrounding M1ATM in the OAT. Furthermore, the balance of inflammatory/anti-inflammatory immune cells has been reported to be disturbed following these events. The inflammatory cytokines produced by FFAs stimulates circulating MONs accumulation around the inflamed AT. Not only do these cytokines recruit the abundance of immune cells, but they are also infiltrated into the AT, and consequently, induce the development of the FFAs production, inflammatory cytokine expression, and M2 to M1 distinction. Hence, this vicious circle leads to a severe immunometabolic disturbance.

Figure 3.

Physical activity alters circulating monocyte features and obese adipose tissue macrophage distinction. Obese state: The excess nutrients-caused adipocyte hypertrophy and cell death induce the micro hypoxia in AT. ① Although MФs accumulation is increased, constantly elevated levels of circulating non-esterified fatty acid reveal an inefficient function of MФs to maintain the AT homeostasis. These complex interactions of the immune system and adipocyte cause the release of inflammatory cytokines into the blood. Both circulating cytokines and the fatty-acids provide a chemoattractive environment. ② The increased CCL2 release and hypoxia result ③ the MON recruitment and more intensive infiltration into the AT. In AT, this inflammatory condition promotes M1 polarization leading to ④ higher number of surface receptors such as TLR4 and CCR2 which activate the influential inflammatory transcription factors, resulting in the upregulation of several inflammatory cytokine genes such as CCL and CXCL family, IFNγ, IL-6/12, and TNFα. ⑤ Circulating MONs are affected by releasing the abundant inflammatory cytokines and FFAs into the bloodstream. They might be altered toward the inflammatory types due to the increase of inflammatory receptors and, consequently, activation of inflammatory signaling cascades, causing the upregulation of more inflammatory genes. This impaired feed-forward cycle aggravates the inflammatory status in individuals with obesity. Lean state: Exercise training improves the inflammatory state through the inhibition of AT expansion (increasing energy consumption and modulation of inflammatory cascade activities (anti-inflammatory cytokine expression). It seems that the improvement of the inflammatory condition in either AT or bloodstream is induced by the reduction of the chemoattractant factors like CCL2 and FFAs. This has influenced the MФ polarization pathway toward M2. Consequently, it leads to a decrease in both the adipocyte death and the expression of inflammatory cytokine receptors on the surface of cell membrane, which resulted in the downregulation of inflammatory pathways. The circulating MONs which experience the anti-inflammatory condition obtain the features of anti-inflammatory MON subsets. Moreover, producing the strong anti-inflammatory myokines could interrupt these pathways following the exercise training, resulting in the improvement of obesity induced-inflammatory cycle.

Abbreviations: TLR4, toll-like receptor 4; CD, cluster of differentiation; fet-A, fetuin-A; CCR2, C-C chemokine receptor type 2; HIF1α, hypoxia-inducible factor 1 α; JNK, c-Jun N-terminal kinase; NF-κB, nuclear factor kappa-light-chain-enhancer of activated B cells; IRF, interferon regulatory factor; STAT, signal transducer and activator of transcription; IL, interleukin; CCL, C-C motif chemokine ligand; CXCL, C-X-C motif chemokine ligand, TNFα, tumor necrosis factor α; IFNγ, interferon regulatory factor γ; SOCS, suppressor of cytokine signaling; CCR, C-C motif chemokine receptor; FFA, free fatty-acid; SFA, saturated fatty-acid; PGC1β, peroxisome proliferator-activated receptor co-activator 1 β; PPARγ, peroxisome proliferator-activated receptor γ; KLF4, kruppel like factor 4.

Since obesity-induced adipose tissue MФ polarization is suggested as a new target of obesity and related disorder treatment, investigating practical therapeutic strategies-related MФ polarization is on the rise. Exercise training as a non-invasive low-cost strategy has abundantly been recommended for interrupting the obesity-induced inflammatory mechanisms because of its potential to trigger these mechanisms at the early stage of inflammation in circulating immune cells. Initially, the adipocyte hypertrophy is inhibited by exercise training due to higher consumption of excessive energy. In physically active people, a regular cycle of adipocytes death/regeneration causes the inhibition of CLS forming, inducing a balance in the ratio of anti-inflammatory/inflammatory immune cells. Additionally, transcription of the anti-inflammatory genes is demonstrated during exercise training, causing an anti-inflammatory influx of cytokines/adipokines. Consequently, the lower concentration of chemoattractant factors in adipose tissue leads to the reduction of MON recruitment and infiltration. This anti-inflammatory environment either maintains the polarization mechanisms of M2ATM or suppresses the distinction of M1ATM. Moreover, expression of inflammatory myokines during exercise activities is shown to be valuable for maintaining the lean state. A complicated network of the anti-inflammatory activities is provoked by exercise-induced myokines, including downregulation of inflammatory factors, alterations of immune cell counts, increase of anti-inflammatory genes, and functional changes in immune cells. The precise role of these events has not been clarified in the prevention, susceptibility, suppression, and treatment of immunometabolic disorders at molecular levels. It is further practical that future studies be conducted on the early stages of obesity-induced inflammation, such as the systemic changes of circulating immune cells. The prolonged exposure to both dyslipidemia and the inflammatory environment could promote a new distinction among circulating immune cells leading to provoking the inflammatory MФ polarization. A systematic anti-inflammatory environment demonstrated following the exercise training can trigger obesity-induced immunometabolic changes in these circulating cells, indicating the inhibition of the aggravation of this inflammatory state. These changes may also be developed by exercise-induced modulatory effects on the negative regulators of inflammatory signaling pathways. Additionally, concentrating on the duration (acute, short term, and long term), calorie usage, type (resistance, endurance, and combined training), training method (cycling, bandage, water training, etc.), volume (sessions per week), and intensity (low, moderate, and high) of the exercise protocols could be useful to improve the exercise effects on immunity-related metabolic dysfunction.

Abbreviations

AT, adipose tissue; ATM, adipose tissue macrophages; adipoR, adiponectin receptor; AP-1, activator protein 1; BMI, body mass index; CLSs, crown-like structures; CRP, c-reactive protein; CVD, cardiovascular diseases; CCL, C-C motif ligand; CXCL, C-X-C motif ligand; CCR, C-C motif receptor; CX3CL, C-X3-C motif ligand; CMs, classical monocyte; CD, cluster of differentiation; DIO, diet induced-obesity; DAMPs, damaged-associated molecular patterns; DC, dendritic cell; EOSs, eosinophils; ERK, extracellular signal-regulated kinase; FFAs, free fatty acids; GM-CSF, macrophage colony-stimulating factor; HFD, high-fat diet; HOMA-IR, homeostasis model assessment of insulin resistance; HbA1c, glycated hemoglobin; HDL, high-density lipoprotein; HSP, heat shock proteins; hsCRP, high-sensitive CRP; HIIT, high-intensity interval training; IL, interleukin; ILC-2, innate lymphoid cells-2; IR, insulin resistance; iNKT, invariant-chain natural killer T cells; IL-1Ra, interleukin-1 receptor antagonist; IL-6R, IL-6 receptor; IκBK, I kappa-B kinase; IM, intermediate monocyte; ICAM-1, intercellular adhesion molecule-1; IFN, interferon regulatory factor; IRAK, IL-1R-associated kinase; IKK, inhibitor of kappa light polypeptide gene enhancer in B-cells kinase; iNOS, inducible nitric oxide; JNK, c-Jun N-terminal kinases; LGSI, low-grade systemic inflammation; LAT, lean adipose tissue; LPS, lipopolysaccharides; LBP, LPS-binding protein; MФs, macrophages; MetS, metabolic syndrome; MONs, monocytes; M-CSF, macrophage-colony stimulating factor; M-CSFR, receptor; MAPK, mitogen-activated protein kinase; MCP-1, monocyte chemoattractant protein-1; mRNA, messenger ribonucleic acid; MyD88, myeloid differentiation factor 88; Mal, MyD88 adaptor-like; mCD14, membrane-bound CD14; MD2, myeloid differentiation factor 2; MICT, moderate-intensity interval training; NF-κB, nuclear factor-kappa B; NEFA, non-esterified fatty acid; NK cells, natural killer cells; NCM, non-classical monocyte; OW, overweight; OB, obese/obesity; PAMPs, pathogen-associated molecular patterns; PBMC, peripheral blood mononuclear cells; PRR, pattern recognition receptors; VAT, visceral adipose tissue; WAT, white adipose tissue; ox-LDL, oxidized low-density lipoprotein; PWV, pales wave velocity; OAT, obese adipose tissue.

Author Contributions

All authors contributed to data analysis, drafting or revising the article, gave final approval of the version to be published, and agree to be accountable for all aspects of the work.

Disclosure

The authors have no conflicts of interest to declare.