Emerging Role of Adipocyte Dysfunction in Inducing Heart Failure Among Obese Patients With Prediabetes and Known Diabetes Mellitus

Introduction

Abdominal obesity (AO) and diabetes mellitus (DM) remain global public health problems that are associated with a high risk of premature death and disabilities in the general population (1). The global AO and DM epidemic affects 2 billion people and 415 million people worldwide (1, 2). Prevalence of both conditions continue to increase worldwide, resulting in a higher burden of cardiovascular (CV) diseases due to acceleration of atherosclerosis, endothelial dysfunction, and microvascular inflammation (3, 4). Multiple observation studies have shown that AO and DM were associated with increased risk of heart failure (HF) manifestation regardless of other conventional CV risk factors (5–7). The results of the Framingham Heart Study have unveiled that the population-attributable risk of HF related to AO was 5% for men and 7% for women for each increment of 1 in body mass index (BMI) and to DM was 6% in men and 12% in women (7, 8). The NHANES (National Health and Nutrition Examination Survey) Epidemiologic Follow-Up Study has shown that DM independently predicted HF (9). Moreover, mild elevations in fasting glucose levels and insulin resistance (IR) abnormalities even in the absence of overt DM were associated with a dramatic increase in the risk of HF development (10). A meta-analysis of 77 prospective studies, which included patients with DM, AO, and HF, has shown that individuals with DM were at an increased risk of developing HF, and there was evidence of increased HF risk even within the prediabetic range of blood glucose among AO patients (11).

Despite that both AO and DM predominantly corresponded to HF with preserved (≥50%) ejection fraction (HFpEF), the prevalence of both conditions among patients having HF with reduced (<40%) ejection fraction (HFrEF) is quite high. The interrelation of mortality with AO and DM in patients having various phenotypes of HF remains to be debated. Although 90-day post-discharge cumulative all-cause mortality among HFrEF patients having DM was higher than those who had HFpEF, there were no significant differences in the overall cumulative all-cause mortalities in DM patients with various phenotypes of HF (12). However, among non-DM individuals with HFrEF, all-cause mortality was higher than those who had HFpEF or HF with midrange (40–49%) ejection fraction (12–14). Additionally, HF patients with known DM and microvascular complications had an increased risk of hospitalization, and prognostic significance of DM for complications including neuropathy, nephropathy, and retinopathy was higher in patients with HFpEF than those who had HFrEF (15).

In addition, previously, overweight and AO were found to be associated with substantially improved survival in HF patients when compared to normal-weight HF patients (16). This phenomenon has been termed the “obesity paradox,” and it was observed for all-cause mortality (16). Although the obesity paradox was also established in a wide range of patients having other CV diseases, including stable angina, atrial fibrillation, and hypertension; this phenomenon has been determined in retrospective studies in which AO was qualified according to BMI criteria, but not other indices of adiposity, such as dual-energy X-ray absorptiometry (17–19). Probably, AO in patients might present to clinicians prior to HF occurrence, leading to lag-time bias. Yet, AO patients may demonstrate significant variability in CV risk factor profile and have an attenuated neurohumoral activation [renin–angiotensin–aldosterone system (RAAS), natriuretic peptides], which could favor a better long-term prognosis. Later meta-analysis of 29 clinical trials has revealed that overweight was associated with lower CV mortality, but there were no significant differences in the cohorts of AO patients across other BMI (17). Nevertheless, there were no sufficient differences in mortality among AO patients having HFrHF and HFpEF (18, 19).

Despite controversial issues regarding an influence of AO on mortality among HF patients (16, 17), dramatic growth of AO prevalence is associated with soaring incidence of prediabetes and DM and consequently leads to increased CV risk among all people groups with different ages, in both sexes, in every racial and ethnic groups as well (18, 19). Abdominal adiposity corresponding to overexpression and secretion of adipocytokines, such as leptin, adiponectin, resistin, visfatin, omentin, zinc-α2-glycoprotein, and glypican-4, in white and brown adipose tissue, has been linked to DM and IR (20). Therefore, the systemic effects of white (WAT) and brown adipose tissue (BAT) can be different, and adipogenesis including browning of adipose tissue and deficiency of anti-inflammatory adipocytokines was strongly associated with adipose triglyceride lipase augmentation, altered glucose homeostasis, resistance to insulin of skeletal muscles, increased cardiac myocyte apoptosis, and lowered survival and function of progenitor endothelial cells, which could significantly influence on HF development, as well as end-organ fibrosis and multiple comorbidities (21). However, whether the adipocytokine dysfunction is crucial for adverse maladaptive cardiac and vascular remodeling and development of different phenotypes of HF is uncertain and is under investigation so far (22–24). Finally, the role of adipocyte dysfunction in the association between AO and survival advantage in HF is not certain. The aim of the narrative review is to summarize the evidence showing that adipocyte dysfunction may induce the onset of HF and support advance of HF through different biological mechanisms involving inflammation, epicardial and perivascular adipose tissue accumulation, adverse and electrical cardiac remodeling, and skeletal muscle dysfunction.

Abdominal Obesity and Adipose Tissue Accumulation: Focus on HF Development

According to conventional views, adipose tissue accumulation is a result of disequilibrium between energy intake and energy expenditure. Adipose tissue comprises various depots including WAT, BAT, and other ectopic adipose tissues including thoracic, epicardial, abdominal, retroperitoneal, and perivascular adipose tissues. The phenotype of thoracic and epicardial adipose tissue resembles BAT, whereas both molecularity and functionality of abdominal, retroperitoneal, and perivascular adipose tissues do not distinguish WAT (24, 25).

Development of AO corresponds to the conversion of fat-accumulating WAT into energy-dissipating functional BAT (25, 26). On the one hand, the interplays between the sympathetic nervous system (SNS), RAAS, endothelin and natriuretic peptide systems, and the thyroid–adrenal gland axis are strong contributors of adaptive hemodynamic responses that ensure the regulation of cardiac output, blood pressure, peripheral vascular resistance, fluid retention, water- and natriuresis, and consequently a balance between preload and after-load (Figure 1). On the other hand, these neurohumoral mechanisms mediate physiological BAT-related thermogenesis, energy expenditures, and WAT-to-BAT conversion in pathophysiological conditions, leading to transformation of metabolically non-active obesity to metabolically active obesity (27, 28). Moreover, adipose-derived angiotensin II contributes to circulating RAAS, kidney function, electrolyte and water homeostasis, and blood pressure regulation (28).

FIGURE 1

Figure 1. The interplay between metabolic derangements and heart failure development. BAT, brown adipose tissue; BP, blood pressure; ET, endothelin-1; HFpEF, heart failure with preserved ejection fraction; HFmrEF, heart failure with midrange ejection fraction; HFrEF, heart failure with reduced ejection fraction; NPs, natriuretic peptides; RAAS, renin–angiotensin–aldosterone system; SNS, sympathetic nervous system; PPAR-γ, peroxisome proliferator-activated receptor coactivator-1γ; WAT, white adipose tissue.

In addition, IR is a result of the alteration of insulin and 5′-AMP–activated protein kinase (AMPK) signaling pathways, which regulate utilization of glucose and free fatty acids. Activation of AMPK leads to phosphorylation of phosphoinositide 3-kinases (PI3K) that recruits the Akt kinase, phosphoinositide-dependent kinase-1, and consequentlyThr308. The Akt phosphorylates several molecular targets including caspase 9, the proapoptotic B-cell leukemia/lymphoma 2, and ribosomal 70S subunit-S6 protein kinase, which regulate cell growth, differentiation, and survival (29). Finally, insulin acting through the insulin receptor kinase enables to negatively regulate signal transduction and triggers IR (29). Therefore, there are several mechanisms corresponding to AMPK ability to suppress cell growth, tissue differentiation, and reparation. In fact, AMPK indirectly declines the activity and production of several biosynthetic enzymes and directly blocks phosphorylation of p70S6K through targeting the tuberous sclerosis complex-2 and rapamycin complex 1 (TORC1) raptor. Consequently, the activation of AMPK enhances dual metabolic and cellular responses from target organs, such as attenuation cells metabolism and suppression of cell differentiation and growth (29). Figure 2 reports the role of insulin and AMPK in growth, differentiation, and survival of cells.

FIGURE 2

Figure 2. The role of insulin and AMPK in growth, differentiation, and survival of cells. AMPK, 5′-AMP–activated protein kinase; IRK, insulin receptor kinase; PI3K, phosphatidylinositol 3-kinase; CAP–CBL–TC10, the Cb1-associated protein (CAP)–casitas B-lineage lymphoma (CBL)–ras-like protein TC10; PKC, protein kinase C; JNK-1, c-Jun N-terminal kinase 1; SIK2, salt-inducible kinase 2.

White vs. Brown Adipose Tissue

WAT is defined as a heterogeneous tissue with high metabolic and regenerative plasticity. WAT is composed of subcutaneous and visceral adiposities and contains lipid-filled adipocytes and numerous non-adipocyte cell populations, which include mature and progenitor endothelial cells, uncharacterized stromal cells, adipocyte precursor cells, fibroblasts, and peripheral blood cells including several populations of antigen-presenting cells, such as T lymphocytes, mononuclear cells, and macrophages (30). Although metabolic (lipogenesis, lipolysis, fatty acid oxidation, amino acid, and sex steroid metabolism) and endocrine/paracrine (production of adipocytokines and natriuretic peptides) activities of WAT belong to adipocytes, non-adipocyte cell populations have demonstrated their pivotal roles in maintenance, growth, and function of WAT, as well as in metabolic and structural remodeling of remote organs (heart, skeletal muscles, liver, pancreas) and tissues (perivascular and pericardial adipose tissue) (31–34).

In response to appropriate stimuli, WAT can undergo a process of transformation into BAT. BAT is generally involved in adaptive sympathetically activated thermogenesis and energy homeostasis during cold exposure and after hyperphagia (35). Being metabolically active, BAT mediates thermogenesis through expression on their surfaces of uncoupling protein 1 (UCP1) having different phenotypes in classical brown adipocytes and beige/brite adipocytes (36). Yet, thermogenesis can be activated by certain stimuli including cold exposure, adrenergic compounds, or genetic alterations. Normally, there is inverse correlation between energy-dissipating activity of UCP1 in adult human beige/brite adipocytes and the BAT accumulation. Additionally, levels of UCP1 mRNA and other transcriptional regulators [peroxisome proliferator-activated receptor γ coactivator 1α (PGC-1α) and PR domain containing 16 (PRDM16)] in beige/brite adipocytes have been increased in parallel with PPAR-γ presentation (37). This finding suggests that the metabolic activity of BAT yields protective impact on body fat accumulation, glucose tolerance, and IR (37). Therefore, SNS, RAAS, and some adipocytokines (leptin, fetuin, visfatin) have also demonstrated powerful potency for activation and recruitment of beige/brite adipocytes and consequently maintenance of metabolic homeostasis and lipid metabolism (38–40). Promotion of BAT activity or the browning of WAT is associated with in vivo cold tolerance, increased energy expenditure, and protection against obesity and type 2 DM (41, 42). Overall, lower BAT activity that is frequently described as BAT dysfunction has been found as central player in regulation of metabolic homeostasis having a crucial role in the pathogenesis of AO, type 2 DM, and development of CV complications including adverse cardiac remodeling and HF (33, 42).

Adiposity in HFrEF and HFpEF

Although AO is a risk factor of HF, there is differential interaction of AO with the occurrence of HFrEF and HFpEF (43). Indeed, the MESA (Multi-Ethnic Study of Atherosclerosis) study has reported the adiposity that was measured with anthropometrics (BMI and waist circumference) and an abdominal computer tomography were not associated with HFrEF, but VAT accumulation was strongly associated with HFpEF. Moreover, HFpEF patients had significantly more intramyocardial fat than HFrEF patients or non-HF controls. Interestingly, intramyocardial fat strongly correlated with left ventricular (LV) diastolic dysfunction parameters (predominantly echocardiographic E/e′ ratio) in HFpEF patients, but not in HFrEF patients, and this was independent of age, comorbidities, BMI, gender, and myocardial fibrosis (44). However, AO via myocardial steatosis, IR, and endothelial dysfunction influences cardiomyocyte hypertrophy and cardiac systolic and diastolic dysfunction (45). Indeed, insulin as an activator of PI3K /AKT alters titin-isoform composition and titin-based stiffness and could also contribute to altered cardiac diastolic function in patients with AO and DM (46).

In fact, AO is associated with a systemic proinflammatory state that induces oxidative stress and causes coronary microvascular inflammation, endothelial dysfunction, and altered cardiac and vasculature reparation. In addition, oxidative stress influences nitric oxide bioavailability, content of cyclic guanosine monophosphate and protein kinase G activity in adjacent cardiomyocytes (47). Nevertheless, low activity of protein kinase G mediates the development of cardiac hypertrophy and increases resting tension because of hypophosphorylation of titin and accumulation of collagen extracellular matrix (ECM) (47, 48). Moreover, there is evidence of the fact that hypophosphorylation of myofilament proteins and increased calcium sensitivity are the earliest molecular events in the development of HFpEF (48). Consequently, stiffness of myocardium and interstitial fibrosis ensures the development of diastolic filling abnormality and HF (49).

Thus, cardiac remodeling in HFpEF differs from HFrEF, in which remodeling is directly driven by primary loss of cardiac myocytes. The difference in the molecular mechanisms of the development of HF phenotypes corresponds well to the findings that explicitly explain a lack of rapid actin activation after inotropic stimulation in HFpEF because of hypophosphorylation of Ca²⁺-dependent thin filaments (50, 51).

Adipocyte Macrophage Phenotypes and Altered WAT/BAT Activity

Remarkable plastic properties of mature WAT/BAT adipocytes are supported by several stimuli, such as a lipolysis, liposecretion, low-grade inflammation, growth factors (transforming growth factor β, fibroblast growth factor), which mediate survival, migration, and (trans)differentiation of various stromal cells, such as preadipocytes, endothelial cells, fibroblasts, macrophages, and immune cells. There is evidence that the adult adipocytes of WAT turn to fibroblast-like elements (rainbow adipocytes) and mediate polarization of the macrophages with anti-inflammatory properties to classical M1 macrophages (52). Yet, macrophages with proinflammatory potencies are attracted to WAT in a result of adipose tissue–related cytokines [adiponectin, tumor necrosis factor α (TNF-α), interleukin 6 (IL-6)] and growth factors (transforming growth factor β) (53). M1 macrophages synthase and release a wide range of proinflammatory cytokines, such as TNF-α, IL-6, and monocyte chemoattractant protein 1 (MCP-1), and thus contribute to the development of microvascular inflammation, IR, skeletal muscle dysfunction, and accelerating atherosclerosis. Therefore, the inflammasome system being activated in stressed mature adipocytes of WAT regulates transdifferentiation of adipose tissue macrophages with non-classical phenotypes to classical macrophages and thereby stimulates apoptosis of mature adipocytes (53, 54). The debris of apoptotic adipocytes are reabsorbed by adipose tissue macrophages and induce a chronic low-grade inflammation, which potentially contributes to lower BAT activity, decreased mass of BAT in result of its transformation to WAT, development of IR, and development of type 2 DM (Figure 3). Unlike non-classical anti-inflammatory macrophages, adipose tissue dendritic cells support the adaptive immune reaction and proapoptotic activity through T_H2/T_H17 polarization. Additionally, M2 macrophages are able to induce regulatory T cells and produce IL-10 giving a tolerance to T_H1 activation (55). Overall, the proportions of the classic and non-classic proinflammatory macrophages in adipose tissue among obese patients are higher than those of lean healthy individuals whose WAT contains increased number of macrophages with a less inflammatory M2 phenotype.

FIGURE 3

Figure 3. Interrelation between several phenotypes of macrophages, dendritic cells, and adipose tissue. The proportion of M2 macrophages is higher in BAT than in WAT and consequently lower mass of BAT in patients with AO, and type 2 DM is associated with weak anti-inflammatory ability of non–adipose tissue cells including M2 macrophages and regulatory T cells. As a result of the modification of immune phenotypes of adipose tissue macrophages and increase in WAT in patients with diabetes and patients with metabolically active obesity, the effect of M1 macrophages begins to prevail. It leads to microvascular inflammation, accelerating atherosclerosis, endothelial dysfunction, insulin resistance, skeletal muscle dysfunction, and finally cardiac and vascular remodeling and HF. TNF, tumor necrosis factor; IL, interleukin; TGF, transforming growth factor; ABCA1, ATP-binding cassette subfamily A member 1; PLIN2, perilipin-2; PD-L1, programmed cell death 1 ligand; CX3CL1, fractalkine.

Interestingly, large amounts of macrophages are accumulated in WAT/BAT among obese and lean individuals by different mechanisms. WAT regulates adipose tissue macrophage differentiation through MCP-1/C-C chemokine receptor 2 pathways, but BAT mediates macrophage accumulation via TNF-α/mitogen-activated protein (MAP) kinase/nuclear factor κB (NF-κB) signaling, while the triggers for the process can be similar (56). In fact, increased local extracellular lipid concentrations are considered as a one of the important molecular triggers for WAT macrophage accumulation. The stromal adipose tissue cells are also involved in metabolic modification of the adipose tissue functions. For instance, the animal model of obese has revealed that an expansion of the ectopic adipose tissue was associated with an increase in serum ketone body concentration in circulation and reduced ratio of proinflammatory M1-like adipose tissue macrophages to anti-inflammatory M2-like macrophages (54, 55). Moreover, some key signal transductors that presented on the surfaces of macrophages influence variables depending on macrophage phenotypes. To note, G-protein–coupled receptor 43 (GPR43) transduce local TNF-α signaling derived from steady-state adipose tissue to macrophages. In fact, M2 macrophages, which were stimulated by TNF-α through GPR43-involving mechanism, supported WAT homeostasis and increase in metabolic activity, but M1 macrophages did not (56). Probably, functional heterogeneity of main and ectopic types of adipose tissues including perivascular and pericardial localization can relate to variability presentation of molecular receptor signal transductors (57, 58). However, adipose tissue dysfunction and elevated levels of TNF-α are coordinated by polarized macrophages (59, 60).

The interplay between WAT adipocytes and macrophages carries out through autocrine/paracrine mechanisms including free fatty acids–related stimulation of p53 and local synthesis of TNF-α that establishes a vicious cycle aggravating inflammatory influences on target organs, such as the skeletal muscles, heart, liver, kidney, vasculature, and the adipose tissue (Figure 4). Indeed, free fatty acids accumulated in WAT in result of lipolysis induce GPR43, toll-like receptor-4 (TLR4) and activate c-Jun N-terminal kinase (JNK)–related proinflammatory pathways in antigen-presenting cells including macrophages, CD11c⁺ cells, which is associated with WAT inflammation (61). Mature adipocytes are destroyed by macrophages becoming the source of proinflammatory cytokines and triggers for adipocytokines release, reactive radicals synthesis, and oxidized phospholipid production (62). However, impaired macrophage autophagy was observed as a central player in macrophage polarization that down-regulates local inflammation in WAT (63).

FIGURE 4

Figure 4. The role of free fatty acids–related stimulation of p53 and local production of adipocytokines in pathogenesis of HF. TLR4, toll-like receptor-4; NF-κB, nuclear factor κβ; TNF-α, tumor necrosis factor α; WAT, white adipose tissue; BAT, brown adipose tissue; IL, interleukin; RBP4, retinol-binding protein-4; ANGPTL2, angiopoietin-related protein 2.

Locally produced by M1 macrophages, adipocyte-specific caspase-1 and proinflammatory cytokines (IL-1β, IL-6) through NF-κB activation influence endothelial progenitor cells and fibroblast precursors and alter endogenous reparation of vasculature. Therefore, proinflammatory cytokines directly impair the metabolic status of the skeletal muscle inducing development of IR and consequently the skeletal muscle dysfunction (64, 65). Thus, the metabolic status of WAT adipocytes was found a crucial determinant of macrophage-related proinflammatory condition (66, 67). On the other hand, polarized macrophages strongly contribute to molecular biology and metabolic dysregulation of adipose tissue by impairing both its function and ability to transdifferentiation (68).

Other Non–Adipose Tissue Cells and WAT Inflammation

Adipose tissue also contains non-adipocyte cells, such as endothelial cells and their precursors, epithelial cells, fibroblasts, profibroblasts, vascular smooth muscle cells (VSMCs), and immune and antigen-presenting cells, which mediates WAT inflammation, regeneration, and stroma transformation and exerts pleotropic effect on adipocytes. The stroma of WAT is mainly produced by fibroblasts, which synthesize and release several components of ECM including collagen and elastin fibers, as well as fibronectins, laminins, tenascin, and proteoglycans (69). The matrix structure provides mechanical support of WAT and ensures endocrine function of adipocytes through regulation matrix metalloproteinase activity and expansion of non–adipose tissue cells including antigen-presenting cells, effector T cells, IL-10–producing FoxP3⁺ T regulatory cells, natural killer cells, mononuclear cells/macrophages, and various progenitor resident cells with different origin (70–72). Indeed, effector T_H1 cells including CD8⁺ cytotoxic T cells being under control of adipose-resident M1 macrophages produce interferon-γ (IFNγ) and stimulate synthesis and secretion of TNF-α, the Janus kinase (JAK) signal transducer and activator of transcription (STAT3) signaling pathway (73). Additionally, the number of WAT regulatory T cells directly inhibits WAT infiltration of T_H1 cells and attenuates the reconstitution of M1 to M2 phenotypes of adipose tissue macrophages (74).

Overall, T cells play an important role in the initiation and perpetuation of inflammation in adipose tissue (75). Still, sometimes macrophages appear within the adipose tissue; T cells release proinflammatory cytokines that can be found locally within the adipose tissue, and these cells contribute to further inflammatory cell activation. Vice versa, an increased infiltration of T cells and macrophages into the adipose tissue also influences adipocyte functions by regulating the secretion of adipokines (76, 77). In this immunological response, T_H1 and T_H2 cells release cytokines, e.g., IFNγ and IL-4 that affect T-cell subset differentiation. Furthermore, T_H17 cells are strong mediators in local tissue inflammation and secrete IL-17 and also further cytokines such as IL-21, IL-22, and IL-23 (78). T_H17 cell activation induces long-lasting tissue inflammation (79) via cytokine release, though; the role of some of these cytokines still remains unclear in obesity, especially in its early stages when individuals are still young. Animal studies have shown that ingestion of a high-fat diet induced a short-term increase of IL-17– and T_H17-associated cytokines. Over a longer period of time, high-fat diet resulted in a decrease of IL-17, IL-22, IFNγ, TNF-α, and IL-4 (80). Higher levels of IL-17 were also reported in obese adults (80).

In addition, PPAR-γ-driven lipolysis supporting free radical production by adipocytokines and acting via TLR signaling and netrin-1–dependent mechanism violates the repair ability of the residential endothelial progenitor cells and mesenchymal stem cells that leads to worsening vascular structure and function, microvascular inflammation, and finally antigen-presenting cell infiltration of WAT (64, 81–84). Collectively, adipose-resident immune cells promoting the proliferation and differentiation of other non–adipose tissue cells ensure remarkable excess and remodeling of ECM that lead to adipose tissue dysfunction and disproportional production of anti-inflammatory and proinflammatory adipocytokines (85). As a result of these processes, the WAT infiltration by inflammatory cells becomes a source of inflammatory cytokines and oxidative stress factors causing perivascular inflammation, cardiac and vascular remodeling, and endothelial dysfunction with impaired bioavailability of nitric oxide, contributing to atherosclerosis acceleration, plaque instability, target organ perfusion abnormality, and HF manifestation (86).

Adipose Tissue Dysfunction and Heart Failure

Adipose tissue functions as a key endocrine organ by releasing multiple adipocytokines having proinflammatory or anti-inflammatory activities (Table 1). Dysregulation in synthesis or releasing of adipocytokines owing to WAT dysfunction can contribute to the pathogenesis of both obesity and HF (194). On the one hand, leakage of free fatty acids from the adipocytes due to lipolysis directly contributes to apoptosis of non–adipose tissue cells, microvascular inflammation, and altered adipose tissue perfusion leading to hypoxia/ischemia and necrosis and thereby shapes multiple proinflammatory signaling pathways in adipocytes, fibroblasts, and immune cells (195–197). On the other hand, hypoxia, which is developed either in the result of relative reduction in perfusion of the hypertrophic adipocytes and extended adipose tissue stroma or an increase in utilization of oxygen in AO, is established trigger for WAT inflammation. In fact, hypoxia is associated with overexpression of proinflammatory genes including hypoxia-inducing factor-1 gene, free radical production, oxidative stress, and lipotoxicity in adipose tissue and exerts altered adipocytokine secretion shaping vicious circle and promoting IR, skeletal muscle wasting, cardiac and vascular remodeling, endothelia dysfunction, and finally development of HF (198–201).

TABLE 1

Table 1. Adipocytokines involved in the pathogenesis of obesity and HF.

To our knowledge, the secretome of adipocytes contains not only secretory adipocytokines, but also extracellular vesicles (ECVs), which transfer wide-spectrum regulatory molecules including coding and non-coding RNAs that play pivotal role in the intraorgan communication between adipose tissue and CV system (202). Although cell-free RNAs in human serum have been present in higher concentrations to ECVs, half biotypes of coding and non-coding RNA (micro-RNA, transfer RNA, small yRNA, circular RNA, and long non-coding RNA) are transferred with ECVs. There is evidence of the assumption that different phenotypes of HF are the result of altered cardiac and vascular reparation due to certain epigenetic responses, which are yielded by AO and DM (24). The genetic material and active molecules that are in ECVs are transductors of epigenetic signals and thereby regulate remodeling (203). In addition, adipocytes, cardiac myocytes, the vasculature, and immune cells in AO and DM are connected with each other through specific ECVs carrying nucleic acids, proteins, lipids, and cellular metabolites (204). Although the number of various subtypes of ECVs especially originated from endothelial cells correlated well with BMI and Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) (205), there are a limiting number of non-coding RNAs, such as hsa-miR-423-5p, rno-miR-16, rno-miR-20b, rno-miR-93, rno-miR-106b, rno-miR-223, hsa-miR-660-3p, hsa-miR-665, hsa-miR-1285-3p, and hsa-miR-4491, which was strongly associated with the development of HFpEF (206). Some of the muscle-specific circulating miRNAs (hsa-miR-423-5p, rno-miR-16, rno-miR-20b) and others contribute to interstitial fibrosis (hsa-miR-665, hsa-miR-1285-3p, and hsa-miR-4491), IR (miR-141-3p), and inflammation (miR-4763-3p) (24). Based on the current knowledge of RNA regulatory networks, multiple ECV-derived non-coding RNAs definitely ensure cell-to-cell communications and mediate tissue response, i.e., cardiac and vascular remodeling, endothelial dysfunction, and browning adipose tissue. However, the practical benefit of these findings is not fully clear and requires deep investigation in the future.

Circulating Adipocytokines

The most biological relevant adipocytokines pertaining to WAT dysfunction associated with clinical outcomes among HF patients are adiponectin, leptin, resistin, omentin, visfatin, angiopoietin-like protein 2, zinc-α2-glycoprotein, glypican-4, lipocalin 2, secreted frizzled-related protein 5, retinol-binding protein-4, TNF-α, IL-6, and IL-18.

Adiponectin

Adiponectin is one of most abundant adipocytokines, which circulates in high concentration in peripheral blood (87). Adiponectin is normally secreted by adipocytes and exists in several isoforms (multimeric forms, monomeric forms containing full-length and globular subforms, and some oligomers) and promote insulin sensitivity of liver, skeletal muscles, and adipose tissues including the ectopic ones and also exert cardiac tissue–protective capacity (88). The biological role of adiponectin has now been widely elucidated, and it properly relates to increase in free fatty acid β-oxidation, activation of glucose transport, and inhibition of gluconeogenesis in target organs, such as liver, heart, WAT, and skeletal muscle, through activation of AMPK, p38 mitogen-activated protein kinase, and PPAR-α, and thereby attenuates IR (89). The biological response is ensured by presentation of specific receptors (AdipoR1 and AdipoR2). However, there is a wide range of adiponectin-related pleotropic potencies, such as antidiabetic, antiatherogenic, anti-inflammatory, antiproliferative, and anti-ischemic properties (90). It has been suggested that adiponectin potentiates the expression of the anti-inflammatory IL-10 and thereby suppresses the NF-κB signaling pathway, leading to down-regulation of TNF-α-related inflammatory responses (90). The most important functional antagonists of adiponectin are leptin and resistin, the biological impact of which on energy homeostasis and target tissue metabolism is completely opposite to adiponectin (207).

The circulating levels of adiponectin in obese patients and patients with diabetes are lower than those of healthy volunteers (208). In fact, higher total and high-molecular-weight adiponectin levels have been associated with a significantly lower risk of type 2 DM (T2DM) (207, 208). Previous clinical studies have shown that total and high-molecular-weight adiponectin oligomers were inversely associated with body mass index, fasting glucose and insulin levels, triglyceride concentrations, HOMA-IR, and visceral fat accumulation (209–211). Therefore, low circulating adiponectin levels (<12.4 mg/L) have shown a strong link with the presence of conventional CV risk factors, such as smoking and hypertension (212).

Interestingly, patients with LV hypertrophy with asymptomatic diastolic dysfunction and individuals with HFpEF had lower circulating levels of adiponectin compared with those who had HFrEF (122, 213, 214). Elevated levels of circulating adiponectin and also increased expression of adiponectin in skeletal muscles have been found in HFrEF patients, but high levels paradoxically corresponded to poor clinical outcomes, CV, and all-cause mortality (215). These findings were accompanied with low tissue expression of the main adiponectin receptor and genes that were involved in the down-regulation of lipids and glucose metabolism (91, 92). Because of the metabolic abnormalities (such as, IR), aerobic capacity, submaximal exercise performance, exercise muscle intolerance, and muscle strength among HF patients were strongly associated with circulating adiponectin levels, it has been hypothesized that adiponectin and its receptors could be key players in the development and advancement of HF myopathy (216). There was positive correlation between plasma levels of brain natriuretic peptide (BNP) and adiponectin in patients with established HFrEF and those who were at higher risk of HF (93, 217). Moreover, BNP was found to be the main driver of circulating adiponectin in AO patients with coronary artery disease (CAD) regardless of HF (94). Based on these results, it has been suggested that elevated levels of adiponectin among HFrEF patients are compensatory adaptive mechanism that allows overcoming the metabolic dysregulation and adiponectin resistance to prevent HF progression. Indeed, HF-related impairment of perfusion in target organs including skeletal muscles, liver, heart, vasculature, and kidney is associated with uncoupling G-protein that is incorporated into structure of adiponectin receptors AdipoR1 (skeletal muscles, heart, vasculature, and kidney) and AdipoR2 (liver). AdipoR1 is a powerful regulator of PPAR-γ coactivator-1-α and mitochondrial Ca²⁺-dependent ionic channels and AMPK/SIRT1-signal pathway (95). In contrast, AdipoR2 ensures a transduction of tissue-protective signals through the ubiquitin–proteasome pathway and insulin receptor tyrosine phosphorylation, and microRNA-150, which counteract the G-subunit of AdipoR2, may contribute to adiponectin resistance HF (96). Therefore, tissue expression of AdipoR2 in advanced HF was found to be significantly decreased (97).

The disruption of both receptors abrogates an ability of adiponectin to bind them and potentiate glucose and lipid metabolism that leads to switching off aerobic glucose metabolism to anaerobic way of glucose oxidation and also altered uptake of free fatty acids to skeletal muscles, lipid peroxidation, mitochondrial dysfunction, and finally the development of IR (98). Although adiponectin can stimulate mitochondrial biogenesis and increase the oxidative capacity in skeletal muscles, oxidative, and mitochondrial stress diminishes the capability of adiponectin to improve glucose utilization and potentiate fatty acid β-oxidation (218, 219). Thus, adiponectin resistance appears to be a cause of both cardiac contractility dysfunction and skeletal muscle weakness (220). Although concise molecular mechanisms, by which resistance to adiponectin pertains to cardiac and skeletal muscle dysfunction, remain not fully elucidated, adiponectin levels in peripheral blood are promising biomarker for metabolic abnormalities in HFrEF patients strongly relating to clinical outcomes and survival.

Leptin

Leptin is a multifunctional adipocyte-derived hormone, the receptors for which are widely expressed in numerous peripheral tissues and the hypothalamus, but not only in adipose tissue (221). The main biological role of leptin is regulation of body weight, feeding behavior, and energetic metabolism (99). Leptin acts as physiological antagonist of adiponectin through binding with appropriate receptors and activates JAK-STAT3 signal transduction pathway. Circulating leptin levels are normally higher in female to male, while there is a strong positive correlation between leptin concentration and adipose tissue mass, and obese individuals usually demonstrate higher levels of leptin to healthy volunteers (99). However, the development of AO and metabolic syndrome corresponds to hyperleptinemia and tissue leptin tolerance (100). There is evidence that increased hypothalamus levels of leptin facilitate a cognition and synaptic plasticity, but leptin resistance, in contrast, increases the risk of depression in patients with AO and T2DM (100). Administration of leptin was associated with the improvement of peripheral tissue sensitivity to insulin and the attenuation of energy homeostasis (222, 223).

As a cytokine with structural resemblance to IL-2 and growth hormone 1, leptin modulates both innate and adaptive immune responses and proinflammatory capacity of T_H1 lymphocytes and macrophages acting as a stimulator of the JAK2–STAT3 pathway and thereby increases the production of several proinflammatory cytokines, such as IL-2, IFNγ, TNF-α, and CC-chemokine ligands (CCL3, CCL4, and CCL5) (101, 224, 225). Therefore, leptin significantly increases migratory and proliferative ability of mononuclear cells and monocytes and also induces the secretion of free radicals enhancing oxidative stress (102).

Although there is a wide range of evidence of participation of leptin in direct and indirect regulation of cardiac function, the exact understanding whether leptin influences detrimentally and in contrary positively on myocardium is not clear (103). On the one hand, leptin in animal models demonstrated proinflammatory activity, which was associated with remodeling of ECM, WAT inflammation, endothelial dysfunction (104, 105). On the other hand, there is evidence that leptin was able to inhibit apoptosis of cardiac myocytes and reduce severity of myocardial dysfunction in acute myocardial infarction model and ensured antiproliferative effects through stimulation of cardiac STAT3, PI3K, and Akt activity and mitochondrial function, and also leptin stimulated vascular reparation via nitric oxide–p38 MAP kinase–dependent mechanism (106–108). Additionally, non-canonical leptin signaling pathway has been found by which leptin interferes with epidermal growth factor receptors and thereby ensures antiproliferative response (109).

The patients with known HF have yielded increased circulating levels of leptin, depending on sodium retention and plasma volume expansion, whereas abundant results of the leptin serum level measurements are conflicting (110, 111). It has been hypothesized that the synthesis of leptin in HF pertains to cardiac and renal fibrosis and WAT and microvascular inflammation and that leptin-mediated neurohormonal and proinflammatory activation may enhance the expression of SGLT2 in the kidney tubules. Thus, SGLT2 inhibitors exert tissue protection by diminishing leptin-related inflammation and suppression of leptin synthesis in WAT, but not only by natriuretic actions (112). The next explanation affecting the role of leptin in the pathogenesis of HF pertains to the deleterious interaction of leptin, aldosterone, and neprilysin in HF patients with AO or T2DM (113). Perhaps, SNS and neprilysin overactivity among obese patients enhances the production of leptin and other proinflammatory adipokines and accompanies with altered natriuretic peptide clearance and adiponectin synthesis that contributes to HF progression (114). Additionally, there is hypothesis that leptin as a prohypertrophic factor exerts cardiac-protective effect, and its release from adipocytes is a maladaptive response against HF-related inflammatory activation (115). However, leptin representing a link between AO, T2DM, and HF, is a CV risk biomarker requiring more precise understanding of matter of these relationships.

Resistin

Resistin is a low-molecular-weight adipocytokine contributing to IR, inflammation, and oxidative stress (116). The main biological effects of resistin have been executed through various molecular targets (free fatty acid transport protein 1, acetyl-CoA carboxylase, and AMPK, CD36) and affected the attenuation of glucose metabolism, inhibition of free fatty acid β-oxidation, and uptake (20). In humans, resistin is predominantly expressed and secreted by macrophages due to stimulation by proinflammatory cytokines (117). Therefore, resistin was found to promote microvascular inflammation, endothelial dysfunction, VSMC proliferation, and plaque formation (118). Although serum resistin levels did not demonstrate a link with a risk of non-fatal myocardial infarction in CAD patients and did not reduce infarct size, the highest quartile of resistin concentrations were found as an independent predictor of an increased risk of HF development (119, 120). The MESA study has revealed that incidences of CV disease, CAD, and HF showed strong, independent association with resistin levels in general population (121).

Previous studies have revealed that increased serum levels of resistin were associated with the IR, T2DM, AO, and CV diseases (226, 227), while there were no significant correlations between resistin levels and echocardiographic parameters including LVEF, Gensini score index, angiographic parameters, and severity of atherosclerosis (228). Both the Framingham Offspring Study and the Health ABC Study have shown that the serum levels of resistin independently corresponded to a high risk of adverse CV outcomes and worsening kidney function among the patients with HF, but adiponectin levels did not (122, 123). Moreover, the reduction of kidney function was the main cause of the elevation of circulating resistin level than declining cardiac pump function (124). There are controversial results of clinical studies pertaining to an association of resistin levels and HF-related outcomes and all-cause and CV mortality. In patients with non-ischemic dilated and inflammatory cardiomyopathy, resistin independently predicted the incidence of HF (125). In addition, resistin had a predictive ability for HFpEF, but not for HFrEF, in terms of morbidity and mortality (126). In the Bio-SHiFT study, an interrelation between serum resistin levels and HFrEF clinical outcomes during 2.2 years of follow-up was not found (127). In contrast, serum resistin levels have exhibited strong correlation with serum markers of ECMs (type III amino terminal propeptide of procollagen, matrix metalloproteinase-2, tissue inhibitor of metalloproteinase 1), BNP, apelin, and mortality in HFrEF patients (128). Thus, resistin rather explains an interrelation between metabolic comorbidities, inflammation, and HF than independent impact on a nature evolution of HF (129, 130).

Visfatin

Visfatin is an anti-inflammatory adipokine enzyme (also known as nicotinamide phosphoribosyltransferase and pre–B cell colony-enhancing factor) having growth factor activity, which is involved in the biosynthesis pathway of NAD⁺ (131). Visfatin is actively secreted by macrophages and adipocytes and is found in the circulation and in ECMs in which it regulates the oxidative stress, immune response, apoptosis, and inflammation through Sirt-1–dependent and MAP kinase ERK1/2-related pathways (132, 133). The translocation of NF-κB and suppression of NF-κB visfatin significantly reduced the production of matrix metalloproteinase-8 and thereby diminished remodeling of ECM (134). In physiological condition, visfatin regulates thermogenesis in BAT via increase in UCP-1 levels in BAT adipocytes (229). Therefore, visfatin binds to the insulin receptor-1 and exerts an insulin-like effect (230). Being adipocytokines with various pleiotropic effects visfatin exerts IR, inhibits WAT oxidative stress and inflammation, promotes vascular reparation, and suppresses ischemia-induced apoptosis of cardiac myocytes mainly through up-regulation of proinflammatory cytokines, such as TNF-α and MCP-1 (231). On the other hand, visfatin also up-regulates NF-κB in endothelial progenitor cells inducing apoptosis of these precursors leading to a decrease in the number of circulating endothelial progenitor cells with angiopoietic activity (232, 233).

The serum levels of visfatin increase significantly in patients with AO, T2DM, metabolic syndrome, acute myocardial infarction, and HFpEF and decrease in patients with HFrEF (135, 234, 235). Among patients with acute ST-elevation myocardial infarction, elevated serum levels of visfatin predicted composite major adverse CV events (136). There is evidence that increased serum levels of visfatin predicted restenosis after implantation of drug-eluting stent (137). Additionally, there is a positive correlation between plasma visfatin level with triglycerides and inverse correlation with high-density lipoprotein cholesterol level and omentin-1 in CAD patients with HFpEF (138, 139).

It has been suggested that production of visfatin in patients with HF is adaptive response, which is directly against the impairment of mitochondrial ultrastructure, activation oxidative stress and free radical production, and cell death in the myocardium (140, 141). However, serum visfatin concentrations in HFrEF patients corresponded to New York Heart Association classes, and they are significantly lower compared with healthy volunteers regardless of age, anthropometric features, and metabolic parameters (142, 149). Overall, whether visfatin exerts potential beneficial effects on myocardium, vasculature, and adipose tissue in HF is not fully understood and requires to be elucidated in the large clinical studies in the future.

Omentin

Omentin is a 34-kD protein that is released from omental adipose tissue and involved in the regulation of adipocyte differentiation, maturation, energy metabolism, immune response, inflammation, and insulin sensitivity (143). There are two homologous isoforms (omentin-1 and omentin-2) of omentin in circulation, and omentin-1 is the main isoform (144). Omentin-1 acts through AMPK/Akt/NK-κB/MAP kinase (ERK, JNK, and p38) signaling systems mediating anti-inflammatory, antioxidative, and angiopoietic effects (144). It has been found that omentin-1 exerts cardiac-protective effect apart from direct cardiac myocytes protection mediating cross-talk between WAT and myocardium (145). Omentin-1 exhibited sufficient activity against an oxidation of low-density lipoproteins and prevented foam cell occurrence via down-regulation of CD36, scavenger receptor class A, and acyl-CoA-cholesterol acyltransferase-1 and up-regulation of neutral cholesterol ester hydrolase in activated macrophages (146). Also, omentin-1 decreased angiotensin II–induced migration of monocytes/macrophages and platelet-derived growth factor BB–induced proliferation of VSMCs (138). To note, omentin-1 levels were markedly low expressed in coronary artery endothelium and epicardial adipose tissue, while circulating levels of omentin-1 and its expression in plaques were increased (147).

Probably, lowered levels of omentin-1 and increased concentrations of visfatin may implicate in the occurrence of CAD in AO patients (147, 148). The population-based EPIC-Potsdam study has shown that serum levels of omentin-1 were not significantly related to HF risk, but they were associated with a risk of CAD in the general population (147). Interestingly, patients with HFrEF demonstrated higher levels of omentin-1 compared to those who had HFpEF (148). Therefore, the elevated circulating levels of omentin-1 were mildly and positively associated with cardiac volumes and systolic function and negatively correlated with adiponectin, high-sensitivity C-reactive protein, and N-terminal pro-BNP (NT-proBNP) in HF patients (148, 149). In addition, the elevated levels of omentin-1 were an independent predictor of weight gain in patients with acutely decompensated and chronic HF who had less mortality rate and hospital readmission regardless of leptin and NT-proBNP levels (150, 151). However, the primary cause of a positive impact of omentin-1 on mortality among HF patients remains uncertain.

Zinc-α-2-Glycoprotein

Zinc-α-2-glycoprotein is an adipocytokine, which belongs to the class I MHC protein and is released by epithelial cells and adipocytes (152). Zinc-α-2-glycoprotein binds with the dansylated C11 fatty acid 11-(dansylamino)undecanoic acid on the surface of target cells (adipocytes, skeletal muscles) and regulates lipid metabolism and sensitivity to insulin (153). The pleiotropic effects of zinc-α-2-glycoprotein relate to negative regulation of fibrosis and inflammation through the suppression of the synthesis of several proinflammatory cytokines, such as S100A1 (154, 155).

Zinc-α-2-glycoprotein is involved the development of AO and T2DM. Previous studies have shown that zinc-α-2-glycoprotein was a better predictor for IR than HOMA-IR index (156–158). Zinc-α-2-glycoprotein acts via interaction with p-ERK and TGF-β1, promoting proliferation of endothelial precursors, suppression of low-grade inflammation, regulation of metabolism of ketone bodies, and increased expression of visfatin in target cells (159, 160). There is evidence that zinc-α-2-glycoprotein prevents cardiac hypertrophy and improves diastolic performances probably due to attenuation of cardiac fibrosis (161). The cardioprotective ability of the cytokine requires to be clearly elucidated.

Lipocalin 2

Lipocalin 2 (neutrophil gelatinase-associated lipocalin) is released by various cell types and belongs to the lipocalin protein superfamily (162). It is widely expressed in adipose tissue and is responsible for inflammation and fibrosis. There is evidence that overexpression of lipocalin-2 in WAT is under control of up-regulated IL-1β (163). Circulating levels of lipocalin 2 positively correlated to adiposity, hyperglycemia, IR, ECM remodeling, matrix metalloproteinase activity, and high-sensitivity C-reactive protein (164–166). Although lipocalin-2 exerted inflammatory, proliferative, and fibrotic response in myocardium and kidney (236), the role of this biomarker in adverse cardiac remodeling and HF occurrence is not clear. It has been reported that lipocalin-2 supported priming and activation of NLRP3-inflammasome and releasing HMGB1 from cells, leading to increase in circulating levels of IL-1β, IL-18, and caspase-1 activation (167, 237). Finally, microvascular inflammation and cardiac fibrosis are the most expected causes that contribute to the deteriorating impact of lipocalin-2 on myocardial structure and kidney function.

Angiopoietin-Like Protein 2

Angiopoietin-like protein 2 is a multifunctional proinflammatory adipocytokine that promotes IR and widely expressed in the WAT (238). Increased circulating levels and overexpression of angiopoietin-like protein 2 were found in patients with AO and T2DM (168). The ability of this molecule to modulate vascular permeability and induce microvascular inflammation with respect to HF development is investigated.

Secreted Frizzled-Related Protein 5

Secreted frizzled-related protein-5 is a novel adipocytokine, expressed in cardiomyocytes, fibroblasts, and adipocytes (169). It suppresses Wnt/β-catenin signaling and is involved in embryonic development, proliferation, vascular permeability, atherosclerosis, and apoptosis (170). Secreted frizzled-related protein 5 is down-regulated in HF patients and plays a pivotal role in HF-induced skeletal muscle dysfunction, cardiac fibrosis, and ECM remodeling through interaction with TGF- β1 (170, 171). This biomarker appears to be promised for further investigation pertaining to adverse cardiac remodeling and prognostication of HF development.

Glypican 4

Glypican 4 is novel adipocytokine that belongs to the heparan sulfate proteoglycan family and is released by adipocytes. It plays an important role in the regulation of glucose tolerance and enhancement of insulin signaling (172). Glypican 4 in myogenic regulatory factor is responsible for skeletal muscle hyperplasia and hypertrophy, as well as cardiac remodeling and myocardial hypertrophy (173). Additionally, glypican 4 regulates Rac activation to maintain polarized actin-rich lamellipodia in ECMs, and it is crucial for efficient migration of endodermal cells into ECMs (174).

The serum levels of glypican 4 are progressively increased in patients with AO, metabolic syndrome, and T2DM in connection with increasing body mass index, waist circumference, waist-to-hip ratio, and total WAT mass (175–177). It has been proposed to measure the serum levels of glypican 4 to predict CV risk (178). In HF patients, serum levels of glypican 4 predicted the endurance training, and thereby it could be a novel target for biomarker-based therapy of HF (179).

Retinol-Binding Protein 4

Retinol-binding protein-4 is an adipose tissue–derived protein with prodiabetogenic effects, which is secreted by adipocytes and hepatocytes (180). Controversial data exist regarding the interrelations between serum levels of retinol-binding protein-4, IR, AO, T2DM, and CV complications including HF. For instance, Ulgen et al. (181) did not find the association of retinol-binding protein-4 levels with IR and other components of the metabolic syndrome. In contrast, Lee et al. (182) reported that there were significant associations between fasting glucose levels, insulin levels, HOMA-IR, and retinol-binding protein-4 concentrations in AO patients. It has been suggested that retinol-binding protein-4 can be involved in WAT/BAT distribution in obese patients, while this assumption requires to be widely investigated.

Serum levels of retinol-binding protein-4 were significantly higher in HF patients in comparison with healthy volunteers (183). Whether retinol-binding protein-4 is a predictor for HF nature evolution or HF-related risks is not fully understood.

Tumor Necrosis Factor-α

TNF-α is well-known adipocytokine that is produced by VSMCs, adipocytes, and antigen-presenting cells and is involved in the regulation of local and systemic inflammation, immune response, and IR (239). TNF-α is not expressed in the normal myocardium, but it can be produced by cardiac myocytes or macrophages in response to volume overload, or it can be transported in cardiac tissue from remote sites of synthesis, such as WAT (184). Being a central inflammatory mediator TNF-α directly provokes cardiac remodeling and leads to cardiac dysfunction in patients with AO and T2DM and indirectly by induction of NO synthase (185). However, there is no well-documented evidence for the credible role of anti–TNF-α therapy in prevention of HF among AO patients with established rheumatoid arthritis (186). Indeed, some large international, randomized, placebo-controlled clinical trials (RECOVER [Research into Etanercept Cytokine Antagonism in Ventricular Dysfunction] and RENAISSANCE [Randomized Etanercept North American Strategy to Study Antagonism of Cytokines]) failed to reveal a powerful positive effect of anti-TNF therapy vs. placebo on clinical outcomes in HF patients (187). Now the anti-TNF therapy is not recommended to all HF patients (188).

On the other hand, muscle wasting, and cardiac cachexia contribute to HF progression, and simultaneously, they are driven by systemic inflammation supported by TNF-α (189). Previous clinical studies have shown that circulating levels of TNF-α and its secondary mediators IL-6 and IL-18 were significantly higher in HFrEF patients when compared with HFpEF and healthy subjects. Therefore, TNF-α, IL-6, and IL-18 have yielded significantly higher concentrations in ischemia-induced HF to HF that was associated with valvular heart disease and hypertension (190). Although there is strong association between mortality rate and serum levels of TNF-α and IL-6 among HFrEF patients, there is still no clear understanding how these cytokines contribute to HF and mediate their cross-talk with sympathetic system and WAT dysfunction (191–193). Finally, TNF-α is probably one of the promising biomarkers to predict skeletal muscle weakness during personifying HF therapy.

Interplay Between the Adipocyte Dysfunction, Abdominal Obesity, and Survival Advantage in HF

Recent clinical findings have shown that dysregulation of adipocytokine production is a crucial factor contributing to the manifestation and progression of AO-induced metabolic and CV complications including HF (179, 181, 185, 193, 240). The impact of altered adipocytokine profile on CV remodeling in patients with several phenotypes of HF is remarkably variable and does not always relate to inducing inflammatory activation. The mechanisms that connect AO and HFpEF vary from obesity-induced hemodynamic changes to important biohumoral systems such as adipocytokines, RAAS and SNS, natriuretic peptide, and oxidative stress. Perhaps, altered adipocytokine profile may predict the occurrence of HFpEF and HFrEF, although the causative relation of AO to a risk of clinical outcomes in HFrEF requires to be deep elucidated. However, there is still no agreement regarding survival advantage in AO patients having HFrEF or HFpEF based on adipocytokine dysfunction (241, 242).

Conclusion

HF is common complication of AO and T2DM often occurring as a result of adipocyte dysfunction and adipose tissue expansion. Adipocytokines is implicated in the sophisticated cascade of potentially reversible HF metabolic derangements, which can be effectively treated and probably accurately predicted by circulating biomarkers. The balance between the proinflammatory and anti-inflammatory cytokines that are involved in the metabolic regulation of WAT/BAT is an essential core element in understanding of a pivotal role of adipocytokine dysfunction in HF manifestation among obese patients and patients with diabetes. Clear molecular and functional mechanisms of adipose tissue dysfunction require to be elucidated in large clinical studies to open new perspectives in prediction of HF occurrence and development among patients with AO and T2DM.

Author Contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

AMP, adenosine-monophosphate; AO, abdominal obesity; BAT, brown adipose tissue; BNP, brain natriuretic peptide; DM, diabetes mellitus; ECM, extracellular matrix; HF, heart failure; HFmrEF, heart failure with mid-range ejection fraction; HFpEF, heart failure with preserved ejection fraction; HFrEF, heart failure with reduced ejection fraction; HIF-1, hypoxia-inducing factor-1; JAK, Janus kinase; LV, left ventricular; NPs, natriuretic peptides; NK-κB, nuclear factor, κB; NT-proBNP, N-terminal pro-brain natriuretic peptide; RAAS, renin–angiotensin–aldosterone system; SNS, sympathetic nervous system; STAT, signal transducer and activator of transcription; STEMI, ST-elevation myocardial infarction; T2DM, type 2 diabetes mellitus; TGF- β1, transforming growth factor; UCP-1, uncoupling protein-1; WAT, white adipose tissue.

References

1. GBD 2015. Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. (2016) 388:1545–602. doi: 10.1016/S0140-6736(16)31678-6

CrossRef Full Text | Google Scholar

2. Caballero B. Humans against obesity: who will win? Adv Nutr. (2019) 10(Suppl. 1):S4–9. doi: 10.1093/advances/nmy055

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Pettitt DJ, Talton J, Dabelea D, Divers J, Imperatore G, Lawrence JM, et al. Prevalence of diabetes in U.S. youth in 2009: the SEARCH for diabetes in youth study. Diabetes Care. (2014) 37:402–8. doi: 10.2337/dc13-1838

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Mobasseri M, Shirmohammadi M, Amiri T, Vahed N, Hosseini Fard H, Ghojazadeh M. Prevalence and incidence of type 1 diabetes in the world: a systematic review and meta-analysis. Health Promot Perspect. (2020) 10:98–115. doi: 10.34172/hpp.2020.18

PubMed Abstract | CrossRef Full Text | Google Scholar

5. From AM, Leibson CL, Bursi F, Redfield MM, Weston SA, Jacobsen SJ. Diabetes in heart failure: prevalence and impact on outcome in the population. Am J Med. (200l) 119:591–9. doi: 10.1016/j.amjmed.2006.05.024

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Dei Cas A, Fonarow GC, Gheorghiade M, Butler J. Concomitant diabetes mellitus and heart failure. Curr Probl Cardiol. (2015) 40:7–43. doi: 10.1016/j.cpcardiol.2014.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Kenchaiah S, Evans JC, Levy D, Wilson PWF, Benjamin EJ, Larson MG, et al. Obesity and the risk of heart failure. N Engl J Med. (2002) 347:305–13. doi: 10.1056/NEJMoa020245

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Butler J, Kalogeropoulos AP, Georgiopoulou VV, Bibbins-Domingo K, Najjar SS, Sutton-Tyrrell KC, et al. Systolic blood pressure and incident heart failure in the elderly. The cardiovascular health study and the health, ageing and body composition study. Heart. (2011) 97:1304–11. doi: 10.1136/hrt.2011.225482

PubMed Abstract | CrossRef Full Text | Google Scholar

9. He J, Ogden LG, Bazzano LA, Vupputuri S, Loria C, Whelton PK. Risk factors for congestive heart failure in US men and women: NHANES I epidemiologic follow-up study. Arch Intern Med. (2001) 161:996–1002. doi: 10.1001/archinte.161.7.996

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Matsushita K, Blecker S, Pazin-Filho A, Bertoni A, Chang PP, Coresh J, et al. The association of hemoglobin a1c with incident heart failure among people without diabetes: the atherosclerosis risk in communities study. Diabetes. (2010) 59:2020–6. doi: 10.2337/db10-0165

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Aune D, Schlesinger S, Neuenschwander M, Feng T, Janszky I, Norat T, et al. Diabetes mellitus, blood glucose and the risk of heart failure: a systematic review and meta-analysis of prospective studies. Nutr Metab Cardiovasc Dis. (2018) 28:1081–91. doi: 10.1016/j.numecd.2018.07.005

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Bozkurt B, Aguilar D, Deswal A, Dunbar SB, Francis GS, Horwich T, et al. American heart association heart failure and transplantation committee of the council on clinical cardiology; council on cardiovascular surgery and anesthesia; council on cardiovascular and stroke nursing; council on hypertension; and council on quality and outcomes research. contributory risk and management of comorbidities of hypertension, obesity, diabetes mellitus, hyperlipidemia, and metabolic syndrome in chronic heart failure: a scientific statement from the american heart association. Circulation. (2016) 134:e535–78. doi: 10.1161/CIR.0000000000000450

CrossRef Full Text | Google Scholar

13. Al-Jarallah M, Rajan R, Al-Zakwani I, Dashti R, Bulbanat B, Ridha M, et al. Mortality and morbidity in HFrEF, HFmrEF, and HFpEF patients with diabetes in the middle east. Oman Med J. (2020) 35:e99. doi: 10.5001/omj.2020.17

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Tribouilloy C, Rusinaru D, Mahjoub H, Tartière JM, Kesri-Tartière L, Godard S, et al. Prognostic impact of diabetes mellitus in patients with heart failure and preserved ejection fraction: a prospective five-year study. Heart. (2008) 94:1450–5. doi: 10.1136/hrt.2007.128769

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Sandesara PB, O'Neal WT, Kelli HM, Samman-Tahhan A, Hammadah M, Quyyumi AA, et al. The prognostic significance of diabetes and microvascular complications in patients with heart failure with preserved ejection fraction. Diabetes Care. (2018) 41:150–5. doi: 10.2337/dc17-0755

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Nagarajan V, Kohan L, Holland E, Keeley EC, Mazimba S. Obesity paradox in heart failure: a heavy matter. ESC Heart Fail. (2016) 3:227–34. doi: 10.1002/ehf2.12120

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Mahajan R, Stokes M, Elliott A, Munawar DA, Khokhar KB, Thiyagarajah A, et al. Complex interaction of obesity, intentional weight loss and heart failure: a systematic review and meta-analysis. Heart. (2020) 106:58–68. doi: 10.1136/heartjnl-2019-314770

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Iorio A, Senni M, Barbati G, Greene SJ, Poli S, Zambon E, et al. Prevalence and prognostic impact of non-cardiac co-morbidities in heart failure outpatients with preserved and reduced ejection fraction: a community-based study. Eur J Heart Fail. (2018) 20:1257–66. doi: 10.1002/ejhf.1202

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Heymsfield SB, Peterson CM, Thomas DM, Heo M, Schuna JM Jr. Why are there race/ethnic differences in adult body mass index-adiposity relationships? A quantitative critical review. Obes Rev. (2016) 17:262–75. doi: 10.1111/obr.12358

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Park HK, Kwak MK, Kim HJ, Ahima RS. Linking resistin, inflammation, and cardiometabolic diseases. Korean J Intern Med. (2017) 32:239–47. doi: 10.3904/kjim.2016.229

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Yarizadeh H, Setayesh L, Askarpoor M, Pooyan S, Sajjadi SF, Badrooj N, et al. Principal component analysis of adipocytokines and insulin associate with risk factors of cardiovascular diseases. BMC Res Notes. (2020) 13:212. doi: 10.1186/s13104-020-04976-9

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Berezin A. Epigenetics in heart failure phenotypes. BBA Clin. (2016) 6:31–7. doi: 10.1016/j.bbacli.2016.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Basma H, Johanson AN, Dhar K, Anderson D, Qiu F, Rennard S, et al. TGF-β induces a heart failure phenotype via fibroblasts exosome signaling. Heliyon. (2019) 5:e02633. doi: 10.1016/j.heliyon.2019.e02633

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Berezin AE, Berezin AA. Extracellular endothelial cell-derived vesicles: emerging role in cardiac and vascular remodeling in heart failure. Front Cardiovasc Med. (2020) 7:47. doi: 10.3389/fcvm.2020.00047

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Montanari T, Pošćić N, Colitti M. Factors involved in white-to-brown adipose tissue conversion and in thermogenesis: a review. Obes Rev. (2017) 18:495–513. doi: 10.1111/obr.12520

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Broeders E, Bouvy ND, van Marken Lichtenbelt WD. Endogenous ways to stimulate brown adipose tissue in humans. Ann Med. (2015) 47:123–32. doi: 10.3109/07853890.2013.874663

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Yoneshiro T, Saito M. Activation and recruitment of brown adipose tissue as anti-obesity regimens in humans. Ann Med. (2015) 47:133–41. doi: 10.3109/07853890.2014.911595

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Pahlavani M, Kalupahana NS, Ramalingam L, Moustaid-Moussa N. Regulation and functions of the renin-angiotensin system in white and brown adipose tissue. Compr Physiol. (2017) 7:1137–50. doi: 10.1002/cphy.c160031

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Chopra I, Li HF, Wang H, Webster KA. Phosphorylation of the insulin receptor by AMP-activated protein kinase (AMPK) promotes ligand-independent activation of the insulin signalling pathway in rodent muscle. Diabetologia. (2012) 55:783–94. doi: 10.1007/s00125-011-2407-y

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Saely CH, Geiger K, Drexel H. Brown versus white adipose tissue: a mini-review. Gerontology. (2012) 58:15–23. doi: 10.1159/000321319

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Bolsoni-Lopes A, Alonso-Vale MI. Lipolysis and lipases in white adipose tissue - an update. Arch Endocrinol Metab. (2015) 59:335–42. doi: 10.1590/2359-3997000000067

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Cox AR, Chernis N, Masschelin PM, Hartig SM. Immune cells gate white adipose tissue expansion. Endocrinology. (2019) 160:1645–58. doi: 10.1210/en.2019-00266

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Kaisanlahti A, Glumoff T. Browning of white fat: agents and implications for beige adipose tissue to type 2 diabetes. J Physiol Biochem. (2019) 75:1–10. doi: 10.1007/s13105-018-0658-5

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Wang QA, Tao C, Gupta RK, Scherer PE. Tracking adipogenesis during white adipose tissue development, expansion and regeneration. Nat Med. (2013) 19:1338–44. doi: 10.1038/nm.3324

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Lo KA, Sun L. Turning WAT into BAT: a review on regulators controlling the browning of white adipocytes. Biosci Rep. (2013) 33:e00065. doi: 10.1042/BSR20130046

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Fenzl A, Kiefer FW. Brown adipose tissue and thermogenesis. Horm Mol Biol Clin Investig. (2014) 19:25–37. doi: 10.1515/hmbci-2014-0022

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Jankovic A, Golic I, Markelic M, Stancic A, Otasevic V, Buzadzic B, et al. Two key temporally distinguishable molecular and cellular components of white adipose tissue browning during cold acclimation. J Physiol. (2015) 593:3267–80. doi: 10.1113/JP270805

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Gálvez-Prieto B, Bolbrinker J, Stucchi P, de Las Heras AI, Merino B, Arribas S, et al. Comparative expression analysis of the renin-angiotensin system components between white and brown perivascular adipose tissue. J Endocrinol. (2008) 197:55–64. doi: 10.1677/JOE-07-0284

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Krskova K, Filipcik P, Zilka N, Olszanecki R, Korbut R, Gajdosechova L, et al. Angiotensinogen and angiotensin-converting enzyme mRNA decrease and AT1 receptor mRNA and protein increase in epididymal fat tissue accompany age-induced elevation of adiposity and reductions in expression of GLUT4 and peroxisome proliferator-activated receptor (PPARγ). J Physiol Pharmacol. (2011) 62:403–10.

PubMed Abstract | Google Scholar

40. Lu H, Cassis LA, Kooi CW, Daugherty A. Structure and functions of angiotensinogen. Hypertens Res. (2016) 39:492–500. doi: 10.1038/hr.2016.17

CrossRef Full Text | Google Scholar

41. Bahler L, Holleman F, Booij J, Hoekstra JB, Verberne HJ. Hot heads & cool bodies: the conundrums of human brown adipose tissue (BAT) activity research. Eur J Intern Med. (2017) 40:26–9. doi: 10.1016/j.ejim.2016.12.023

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Vijgen GH, Bouvy ND, Teule GJ, Brans B, Schrauwen P, van Marken Lichtenbelt WD. Brown adipose tissue in morbidly obese subjects. PLoS ONE. (2011) 6:e17247. doi: 10.1371/journal.pone.0017247

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Rao VN, Zhao D, Allison MA, Guallar E, Sharma K, Criqui MH, et al. Adiposity and incident heart failure and its subtypes: MESA (multi-ethnic study of atherosclerosis). JACC Heart Fail. (2018) 6:999–1007. doi: 10.1016/j.jchf.2018.07.009

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Wu CK, Lee JK, Hsu JC, Su MM, Wu YF, Lin TT, et al. Myocardial adipose deposition and the development of heart failure with preserved ejection fraction. Eur J Heart Fail. (2020) 22:445–54. doi: 10.1002/ejhf.1617

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Krüger M, Babicz K, von Frieling-Salewsky M, Linke WA. Insulin signaling regulates cardiac titin properties in heart development and diabetic cardiomyopathy. J Mol Cell Cardiol. (2010) 48:910–16. doi: 10.1016/j.yjmcc.2010.02.012

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Fukuda N, Terui T, Ishiwata S, Kurihara S. Titin-based regulations of diastolic and systolic functions of mammalian cardiac muscle. J Mol Cell Cardiol. (2010) 48:876–81. doi: 10.1016/j.yjmcc.2009.11.013

PubMed Abstract | CrossRef Full Text | Google Scholar

47. van Heerebeek L, Hamdani N, Falcão-Pires I, Leite-Moreira AF, Begieneman MP, Bronzwaer JG, et al. Low myocardial protein kinase G activity in heart failure with preserved ejection fraction. Circulation. (2012) 126:830–9. doi: 10.1161/CIRCULATIONAHA.111.076075

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Hamdani N, Bishu KG, von Frieling-Salewsky M, Redfield MM, Linke WA. Deranged myofilament phosphorylation and function in experimental heart failure with preserved ejection fraction. Cardiovasc Res. (2013) 97:464–71. doi: 10.1093/cvr/cvs353

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Borbély A, Falcao-Pires I, van Heerebeek L, Hamdani N, Edes I, Gavina C, et al. Hypophosphorylation of the Stiff N2B titin isoform raises cardiomyocyte resting tension in failing human myocardium. Circ Res. (2009) 104:780–6. doi: 10.1161/CIRCRESAHA.108.193326

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Caremani M, Pinzauti F, Powers JD, Governali S, Narayanan T, Stienen GJM, et al. Inotropic interventions do not change the resting state of myosin motors during cardiac diastole. J Gen Physiol. (2019) 151:53–65. doi: 10.1085/jgp.201812196

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Alamo L, Ware JS, Pinto A, Gillilan RE, Seidman JG, Seidman CE, et al. Effects of myosin variants on interacting-heads motif explain distinct hypertrophic and dilated cardiomyopathy phenotypes. Elife. (2017) 6:e24634. doi: 10.7554/eLife.24634

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Cinti S. Adipose organ development and remodeling. Compr Physiol. (2018) 8:1357–431. doi: 10.1002/cphy.c170042

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Kotzbeck P, Giordano A, Mondini E, Murano I, Severi I, Venema W, et al. Brown adipose tissue whitening leads to brown adipocyte death and adipose tissue inflammation. J Lipid Res. (2018) 59:784–94. doi: 10.1194/jlr.M079665

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Chylikova J, Dvorackova J, Tauber Z, Kamarad V. M1/M2 macrophage polarization in human obese adipose tissue. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. (2018) 162:79–82. doi: 10.5507/bp.2018.015

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Appari M, Channon KM, McNeill E. Metabolic regulation of adipose tissue macrophage function in obesity and diabetes. Antioxid Redox Signal. (2018) 29:297–312. doi: 10.1089/ars.2017.7060

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Ghosn EE, Cassado AA, Govoni GR, Fukuhara T, Yang Y, Monack DM, et al. Two physically, functionally, and developmentally distinct peritoneal macrophage subsets. Proc Natl Acad Sci USA. (2010) 107:2568–73. doi: 10.1073/pnas.0915000107

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Esser N, Legrand-Poels S, Piette J, Scheen AJ, Paquot N. Inflammation as a link between obesity, metabolic syndrome and type 2 diabetes. Diabetes Res Clin Pract. (2014) 105:141–50. doi: 10.1016/j.diabres.2014.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Weisberg SP, McCann D, Desai M, Rosenbaum M, Leibel RL, Ferrante AW Jr. Obesity is associated with macrophage accumulation in adipose tissue. J Clin Invest. (2003) 112:1796–808. doi: 10.1172/JCI200319246

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Cawthorn WP, Sethi JK. TNF-alpha and adipocyte biology. FEBS Lett. (2008) 582:117–31. doi: 10.1016/j.febslet.2007.11.051

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Parameswaran N, Patial S. Tumor necrosis factor-α signaling in macrophages. Crit Rev Eukaryot Gene Expr. (2010) 20:87–103. doi: 10.1615/CritRevEukarGeneExpr.v20.i2.10

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Engin AB. Adipocyte-macrophage cross-talk in obesity. Adv Exp Med Biol. (2017) 960:327–43. doi: 10.1007/978-3-319-48382-5_14

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Serbulea V, Upchurch CM, Schappe MS, Voigt P, DeWeese DE, Desai BN, et al. Macrophage phenotype and bioenergetics are controlled by oxidized phospholipids identified in lean and obese adipose tissue. Proc Natl Acad Sci USA. (2018) 115:E6254–63. doi: 10.1073/pnas.1800544115

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Liu K, Zhao E, Ilyas G, Lalazar G, Lin Y, Haseeb M, et al. Impaired macrophage autophagy increases the immune response in obese mice by promoting proinflammatory macrophage polarization. Autophagy. (2015) 11:271–84. doi: 10.1080/15548627.2015.1009787

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Zhang Y, Böse T, Unger RE, Jansen JA, Kirkpatrick CJ, van den Beucken JJJP. Macrophage type modulates osteogenic differentiation of adipose tissue MSCs. Cell Tissue Res. (2017) 369:273–86. doi: 10.1007/s00441-017-2598-8

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Zhuge F, Ni Y, Nagashimada M, Nagata N, Xu L, Mukaida N, et al. DPP-4 inhibition by linagliptin attenuates obesity-related inflammation and insulin resistance by regulating M1/M2 macrophage polarization. Diabetes. (2016) 65:2966–79. doi: 10.2337/db16-0317

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Nakajima A, Nakatani A, Hasegawa S, Irie J, Ozawa K, Tsujimoto G, et al. The short chain fatty acid receptor GPR43 regulates inflammatory signals in adipose tissue M2-type macrophages. PLoS ONE. (2017) 12:e0179696. doi: 10.1371/journal.pone.0179696

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Zhu F, Wang A, Li Y, Liang R, Li D, Li B. Adipose tissue-resident regulatory T cells. Adv Exp Med Biol. (2017) 1011:153–62. doi: 10.1007/978-94-024-1170-6_4

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Ouchi N, Parker JL, Lugus JJ, Walsh K. Adipokines in inflammation and metabolic disease. Nat Rev Immunol. (2011) 11:85–97. doi: 10.1038/nri2921

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Tang LL, Tang XH, Li X, Yu HB, Xie ZG, Liu XY, et al. Effect of high-fat or high-glucose diet on obesity and visceral adipose tissue in mice. Zhongguo Yi Xue Ke Xue Yuan Xue Bao. (2014) 36:614–9. doi: 10.3881/j.issn.1000-503X.2014.06.010

CrossRef Full Text | Google Scholar

70. Jaiswal A, Reddy SS, Maurya M, Maurya P, Barthwal MK. MicroRNA-99a mimics inhibit M1 macrophage phenotype and adipose tissue inflammation by targeting TNFα. Cell Mol Immunol. (2019) 16:495–507. doi: 10.1038/s41423-018-0038-7

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Han MS, Jung DY, Morel C, Lakhani SA, Kim JK, Flavell RA, et al. JNK expression by macrophages promotes obesity-induced insulin resistance and inflammation. Science. (2013) 339:218–22. doi: 10.1126/science.1227568

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Odegaard JI, Ricardo-Gonzalez RR, Goforth MH, Morel CR, Subramanian V, Mukundan L, et al. Macrophage-specific PPARgamma controls alternative activation and improves insulin resistance. Nature. (2007) 447:1116–20. doi: 10.1038/nature05894

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Periyalil HA, Wood LG, Wright TA, Karihaloo C, Starkey MR, Miu AS, et al. Obese asthmatics are characterized by altered adipose tissue macrophage activation. Clin Exp Allergy. (2018) 48:641–9. doi: 10.1111/cea.13109

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Guzik TJ, Skiba DS, Touyz RM, Harrison DG. The role of infiltrating immune cells in dysfunctional adipose tissue. Cardiovasc Res. (2017) 113:1009–23. doi: 10.1093/cvr/cvx108

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Seijkens T, Kusters P, Chatzigeorgiou A, Chavakis T, Lutgens E. Immune cell crosstalk in obesity: a key role for costimulation? Diabetes. (2014) 63:3982–91. doi: 10.2337/db14-0272

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Kintscher U, Hartge M, Hess K, Foryst-Ludwig A, Clemenz M, et al. T-lymphocyte infiltration in visceral adipose tissue: a primary event in adipose tissue inflammation and the development of obesity-mediated insulin resistance. Arterioscler Thromb Vasc Biol. (2008) 28:1304–10. doi: 10.1161/ATVBAHA.108.165100

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Wu H, Ghosh S, Perrard XD, Feng L, Garcia GE, et al. T-cell accumulation and regulated on activation, normal T cell expressed and secreted upregulation in adipose tissue in obesity. Circulation. (2007) 115:1029–38. doi: 10.1161/CIRCULATIONAHA.106.638379

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Korn T, Bettelli E, Oukka M, Kuchroo VK. IL-17 and Th17 cells. Annu Rev Immunol. (2009) 27:485–517. doi: 10.1146/annurev.immunol.021908.132710

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Shi G, Ramaswamy M, Vistica BP, Cox CA, Tan C, et al. Unlike Th1, Th17 cells mediate sustained autoimmune inflammation and are highly resistant to restimulation-induced cell death. J Immunol. (2009) 183:7547–56. doi: 10.4049/jimmunol.0900519

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Jung C, Lichtenauer M, Strodthoff D, Winkels H, Wernly B, et al. Alterations in systemic levels of Th1, Th2, and Th17 cytokines in overweight adolescents and obese mice. Pediatr Diabetes. (2017) 18:714–21 doi: 10.1111/pedi.12435

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Berezin AE. Diabetes mellitus and cellular replacement therapy: expected clinical potential and perspectives. World J Diabetes. (2014) 5:777–86. doi: 10.4239/wjd.v5.i6.777

PubMed Abstract | CrossRef Full Text | Google Scholar

82. O'Neill LA, Sheedy FJ, McCoy CE. MicroRNAs: the fine-tuners of Toll-like receptor signalling. Nat Rev Immunol. (2011) 11:163–75. doi: 10.1038/nri2957

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Tiwari RL, Singh V, Singh A, Rana M, Verma A, Kothari N, et al. PKCδ-IRAK1 axis regulates oxidized LDL-induced IL-1β production in monocytes. J Lipid Res. (2014) 55:1226–44. doi: 10.1194/jlr.M045658

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Ramkhelawon B, Hennessy EJ, Ménager M, Ray TD, Sheedy FJ, Hutchison S, et al. Netrin-1 promotes adipose tissue macrophage retention and insulin resistance in obesity. Nat Med. (2014) 20:377–84. doi: 10.1038/nm.3467

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Kanematsu Y, Kanematsu M, Kurihara C, Tada Y, Tsou TL, van Rooijen N, et al. Critical roles of macrophages in the formation of intracranial aneurysm. Stroke. (2011) 42:173–8. doi: 10.1161/STROKEAHA.110.590976

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Berg AH, Scherer PE. Adipose tissue, inflammation, and cardiovascular disease. Circ Res. (2005) 96:939–49. doi: 10.1161/01.RES.0000163635.62927.34

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Shehzad A, Iqbal W, Shehzad O, Lee YS. Adiponectin: regulation of its production and its role in human diseases. Hormones. (2012) 11:8–20. doi: 10.1007/BF03401534

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Kadowaki T, Yamauchi T. Adiponectin and adiponectin receptors. Endocr Rev. (2005) 26:439–51. doi: 10.1210/er.2005-0005

CrossRef Full Text | Google Scholar

89. Yamauchi T, Kadowaki T. Physiological and pathophysiological roles of adiponectin and adiponectin receptors in the integrated regulation of metabolic and cardiovascular diseases. Int J Obes. (2008) 32(Suppl. 7):S13–S18. doi: 10.1038/ijo.2008.233

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Ouchi N, Walsh K. Adiponectin as an anti-inflammatory factor. Clin Chim Acta. (2007) 380:24–30. doi: 10.1016/j.cca.2007.01.026

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Shibata R, Ouchi N, Murohara T. Adiponectin and cardiovascular disease. Circ J. (2009) 73:608–14. doi: 10.1253/circj.CJ-09-0057

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Ashrafian H, Frenneaux MP, Opie LH. Metabolic mechanisms in heart failure. Circulation. (2007) 116:434–48. doi: 10.1161/CIRCULATIONAHA.107.702795

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Ingelsson E, Risérus U, Berne C, Frystyk J, Flyvbjerg A, Axelsson T, et al. Adiponectin and risk of congestive heart failure. JAMA. (2006) 295:1772–4. doi: 10.1001/jama.295.15.1772-c

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Antonopoulos AS, Margaritis M, Coutinho P, Digby J, Patel R, Psarros C, et al. Reciprocal effects of systemic inflammation and brain natriuretic peptide on adiponectin biosynthesis in adipose tissue of patients with ischemic heart disease. Arterioscler Thromb Vasc Biol. (2014) 34:2151–9. doi: 10.1161/ATVBAHA.114.303828

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Iwabu M, Yamauchi T, Okada-Iwabu M, Sato K, Nakagawa T, Funata M, et al. Adiponectin and AdipoR1 regulate PGC-1alpha and mitochondria by Ca²⁺ and AMPK/SIRT1. Nature. (2010) 464:1313–9. doi: 10.1038/nature08991

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Wang X, Hu Z, Hu J, Du J, Mitch WE. Insulin resistance accelerates muscle protein degradation: activation of the ubiquitin-proteasome pathway by defects in muscle cell signaling. Endocrinology. (2006) 147:4160–8. doi: 10.1210/en.2006-0251

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Stefan N, Vozarova B, Funahashi T, Matsuzawa Y, Weyer C, Lindsay RS, et al. Plasma adiponectin concentration is associated with skeletal muscle insulin receptor tyrosine phosphorylation, and low plasma concentration precedes a decrease in whole-body insulin sensitivity in humans. Diabetes. (2002) 51:1884–8. doi: 10.2337/diabetes.51.6.1884

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Qiao L, Kinney B, Yoo HS, Lee B, Schaack J, Shao J. Adiponectin increases skeletal muscle mitochondrial biogenesis by suppressing mitogen-activated protein kinase phosphatase-1. Diabetes. (2012) 61:1463–70. doi: 10.2337/db11-1475

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Triantafyllou GA, Paschou SA, Mantzoros CS. Leptin and hormones: energy homeostasis. Endocrinol Metab Clin North Am. (2016) 45:633–45. doi: 10.1016/j.ecl.2016.04.012

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Farr OM, Gavrieli A, Mantzoros CS. Leptin applications in 2015: what have we learned about leptin and obesity? Curr Opin Endocrinol Diabetes Obes. (2015) 22:353–9. doi: 10.1097/MED.0000000000000184

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Wabitsch M, Funcke JB, Lennerz B, Kuhnle-Krahl U, Lahr G, Debatin KM, et al. Biologically inactive leptin and early-onset extreme obesity. N Engl J Med. (2015) 372:48–54. doi: 10.1056/NEJMoa1406653

CrossRef Full Text | Google Scholar

102. Lord GM, Matarese G, Howard JK, Baker RJ, Bloom SR, Lechler RI. Leptin modulates the T-cell immune response and reverses starvation-induced immunosuppression. Nature. (1998) 394:897–901. doi: 10.1038/29795

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Feijóo-Bandín S, Portolés M, Roselló-Lletí E, Rivera M, González-Juanatey JR, Lago F. 20 years of leptin: role of leptin in cardiomyocyte physiology and physiopathology. Life Sci. (2015) 140:10–8. doi: 10.1016/j.lfs.2015.02.016

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Dobaczewski M, Frangogiannis NG. The cellular specificity of leptin-mediated actions in the infarcted heart. Cardiovasc Res. (2011) 89:9–11. doi: 10.1093/cvr/cvq354

PubMed Abstract | CrossRef Full Text | Google Scholar

105. McGaffin KR, Witham WG, Yester KA, Romano LC, O'Doherty RM, McTiernan CF, et al. Cardiac-specific leptin receptor deletion exacerbates ischaemic heart failure in mice. Cardiovasc Res. (2011) 89:60–71. doi: 10.1093/cvr/cvq288

PubMed Abstract | CrossRef Full Text | Google Scholar

106. McGaffin KR, Sun CK, Rager JJ, Romano LC, Zou B, Mathier MA, et al. Leptin signalling reduces the severity of cardiac dysfunction and remodelling after chronic ischaemic injury. Cardiovasc Res. (2008) 77:54–63. doi: 10.1093/cvr/cvm023

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Witham W, Yester K, O'Donnell CP, McGaffin KR. Restoration of glucose metabolism in leptin-resistant mouse hearts after acute myocardial infarction through the activation of survival kinase pathways. J Mol Cell Cardiol. (2012) 53:91–100. doi: 10.1016/j.yjmcc.2012.03.016

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Sharma V, Mustafa S, Patel N, Wambolt R, Allard MF, McNeill JH. Stimulation of cardiac fatty acid oxidation by leptin is mediated by a nitric oxide-p38 MAPK-dependent mechanism. Eur J Pharmacol. (2009) 617:113–7. doi: 10.1016/j.ejphar.2009.06.037

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Zabeau L, Wauman J, Dam J, Van Lint S, Burg E, De Geest J, et al. A novel leptin receptor antagonist uncouples leptin's metabolic and immune functions. Cell Mol Life Sci. (2019) 76:1201–14. doi: 10.1007/s00018-019-03004-9

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Kamimura D, Suzuki T, Wang W, deShazo M, Hall JE, Winniford MD, et al. Higher plasma leptin levels are associated with reduced left ventricular mass and left ventricular diastolic stiffness in black women: insights from the genetic epidemiology network of arteriopathy (GENOA) study. Hypertens Res. (2018) 41:629–38. doi: 10.1038/s41440-018-0062-0

PubMed Abstract | CrossRef Full Text | Google Scholar

111. Barbosa-Ferreira JM, Fernandes F, Dabarian A, Mady C. Leptin in heart failure. Expert Opin Med Diagn. (2013) 7:113–7. doi: 10.1517/17530059.2013.735229

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Packer M. Do sodium-glucose co-transporter-2 inhibitors prevent heart failure with a preserved ejection fraction by counterbalancing the effects of leptin? A novel hypothesis. Diabetes Obes Metab. (2018) 20:1361–6. doi: 10.1111/dom.13229

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Packer M. Leptin-aldosterone-neprilysin axis: identification of its distinctive role in the pathogenesis of the three phenotypes of heart failure in people with obesity. Circulation. (2018) 137:1614–31. doi: 10.1161/CIRCULATIONAHA.117.032474

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Shimada YJ. Is leptin protective against heart failure with preserved ejection fraction? A complex interrelationship among leptin, obesity, and left ventricular hypertrophy. Hypertens Res. (2019) 42:141–2. doi: 10.1038/s41440-018-0135-0

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Karmazyn M, Rajapurohitam V. Leptin as a cardiac pro-hypertrophic factor and its potential role in the development of heart failure. Curr Pharm Des. (2014) 20:646–51. doi: 10.2174/13816128113199990023

PubMed Abstract | CrossRef Full Text | Google Scholar

116. Bhalla V, Kalogeropoulos A, Georgiopoulou V, Butler J. Serum resistin: physiology, pathophysiology and implications for heart failure. Biomark Med. (2010) 4:445–52. doi: 10.2217/bmm.10.17

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Lau WB, Ohashi K, Wang Y, Ogawa H, Murohara T, Ma XL, et al. Role of adipokines in cardiovascular disease. Circ J. (2017) 81:920–8. doi: 10.1253/circj.CJ-17-0458

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Acquarone E, Monacelli F, Borghi R, Nencioni A, Odetti P. Resistin: a reappraisal. Mech Ageing Dev. (2019) 178:46–63. doi: 10.1016/j.mad.2019.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Zhang MH, Na B, Schiller NB, Whooley MA. Association of resistin with heart failure and mortality in patients with stable coronary heart disease: data from the heart and soul study. J Card Fail. (2011) 17:24–30. doi: 10.1016/j.cardfail.2010.08.007

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Smith CC, Lim SY, Wynne AM, Sivaraman V, Davidson SM, Mocanu MM, et al. Failure of the adipocytokine, resistin, to protect the heart from ischemia-reperfusion injury. J Cardiovasc Pharmacol Ther. (2011) 16:63–71. doi: 10.1177/1074248410382232

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Muse ED, Feldman DI, Blaha MJ, Dardari ZA, Blumenthal RS, Budoff MJ, et al. The association of resistin with cardiovascular disease in the multi-ethnic study of atherosclerosis. Atherosclerosis. (2015) 239:101–8. doi: 10.1016/j.atherosclerosis.2014.12.044

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Frankel DS, Vasan RS, D'Agostino RB Sr, Benjamin EJ, Levy D, Wang TJ, et al. Resistin, adiponectin, and risk of heart failure the framingham offspring study. J Am Coll Cardiol. (2009) 53:754–62. doi: 10.1016/j.jacc.2008.07.073

PubMed Abstract | CrossRef Full Text | Google Scholar

123. Butler J, Kalogeropoulos A, Georgiopoulou V, de Rekeneire N, Rodondi N, Smith AL Health ABC Study et al. Serum resistin concentrations and risk of new onset heart failure in older persons: the health, aging, and body composition (Health ABC) study. Arterioscler Thromb Vasc Biol. (2009) 29:1144–9. doi: 10.1161/ATVBAHA.109.186783

PubMed Abstract | CrossRef Full Text | Google Scholar

124. Baldasseroni S, Mannucci E, Di Serio C, Orso F, Bartoli N, Mossello E, et al. Resistin level in coronary artery disease and heart failure: the central role of kidney function. J Cardiovasc Med. (2013) 14:150–7. doi: 10.2459/JCM.0b013e32834eec93

PubMed Abstract | CrossRef Full Text | Google Scholar

125. Bobbert P, Jenke A, Bobbert T, Kühl U, Rauch U, Lassner D, et al. High leptin and resistin expression in chronic heart failure: adverse outcome in patients with dilated and inflammatory cardiomyopathy. Eur J Heart Fail. (2012) 14:1265–75. doi: 10.1093/eurjhf/hfs111

PubMed Abstract | CrossRef Full Text | Google Scholar

126. Cheng JM, Akkerhuis KM, Battes LC, van Vark LC, Hillege HL, Paulus WJ, et al. Biomarkers of heart failure with normal ejection fraction: a systematic review. Eur J Heart Fail. (2013) 15:1350–62. doi: 10.1093/eurjhf/hft106

PubMed Abstract | CrossRef Full Text | Google Scholar

127. Brankovic M, Akkerhuis KM, Mouthaan H, Brugts JJ, Manintveld OC, van Ramshorst J, et al. Cardiometabolic biomarkers and their temporal patterns predict poor outcome in chronic heart failure (Bio-SHiFT study). J Clin Endocrinol Metab. (2018) 103:3954–64. doi: 10.1210/jc.2018-01241

PubMed Abstract | CrossRef Full Text | Google Scholar

128. Ho YL, Lin YH, Lee CM, Hsu RB, Ting HT, Chou NK, et al. Prognostic significance of adipocytokines and extracellular matrix activity in heart failure patients with high B-type natriuretic peptide. Clin Biochem. (2009) 42:1407–12. doi: 10.1016/j.clinbiochem.2009.06.013

PubMed Abstract | CrossRef Full Text | Google Scholar

129. Smekal A, Vaclavik J. Adipokines and cardiovascular disease: A comprehensive review. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. (2017) 161:31–40. doi: 10.5507/bp.2017.002

PubMed Abstract | CrossRef Full Text | Google Scholar

130. Kapłon-Cieślicka A, Tymińska A, Rosiak M, Ozierański K, Peller M, Eyileten C, et al. Resistin is a prognostic factor for death in type 2 diabetes. Diabetes Metab Res Rev. (2019) 35:e3098. doi: 10.1002/dmrr.3098

PubMed Abstract | CrossRef Full Text | Google Scholar

131. Carbone F, Liberale L, Bonaventura A, Vecchiè A, Casula M, Cea M, et al. Regulation and function of extracellular nicotinamide phosphoribosyltransferase/visfatin. Compr Physiol. (2017) 7:603–21. doi: 10.1002/cphy.c160029

PubMed Abstract | CrossRef Full Text | Google Scholar

132. Svoboda P, KríŽová E, Cenková K, Vápenková K, Zídková J, Zídek V, et al. Visfatin is actively secreted in vitro from U-937 macrophages, but only passively released from 3T3-L1 adipocytes and HepG2 hepatocytes. Physiol Res. (2017) 66:709–14. doi: 10.33549/physiolres.933370

PubMed Abstract | CrossRef Full Text | Google Scholar

133. Reverchon M, Rame C, Bunel A, Chen W, Froment P, Dupont J. VISFATIN (NAMPT) improves in vitro IGF1-induced steroidogenesis and IGF1 receptor signaling through SIRT1 in bovine granulosa cells. Biol Reprod. (2016) 94:54. doi: 10.1095/biolreprod.115.134650

PubMed Abstract | CrossRef Full Text | Google Scholar

134. Li B, Zhao Y, Liu H, Meng B, Wang J, Qi T, et al. Visfatin destabilizes atherosclerotic plaques in apolipoprotein E-deficient mice. PLoS ONE. (2016) 11:e0148273. doi: 10.1371/journal.pone.0148273

PubMed Abstract | CrossRef Full Text | Google Scholar

135. Kocełak P, Olszanecka-Glinianowicz M, Owczarek AJ, Krupa W, Obirek P, Bozentowicz-Wikarek M, et al. Plasma visfatin/nicotinamide phosphoribosyltransferase (visfatin/NAMPT) concentration in elderly subjects with metabolic syndrome. Pol Arch Med Wewn. (2015) 125:402–13. doi: 10.20452/pamw.2878

PubMed Abstract | CrossRef Full Text | Google Scholar

136. Hung WC, Yu TH, Hsu CC, Lu LF, Chung FM, Tsai IT. Plasma visfatin levels are associated with major adverse cardiovascular events in patients with acute ST-elevation myocardial infarction. Clin Invest Med. (2015) 38:E100–9. doi: 10.25011/cim.v38i3.22705

PubMed Abstract | CrossRef Full Text | Google Scholar

137. Wu XA, Xie G, Li XQ, Wu HT, Wang X. The value of serum visfatin in predicting in-stent restenosis of drug-eluting stents. Clin Chim Acta. (2018) 479:20–24. doi: 10.1016/j.cca.2018.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

138. Wang XH, Dou LZ, Gu C, Wang XQ. Plasma levels of omentin-1 and visfatin in senile patients with coronary heart disease and heart failure. Asian Pac J Trop Med. (2014) 7:55–62. doi: 10.1016/S1995-7645(13)60192-3

PubMed Abstract | CrossRef Full Text | Google Scholar

139. Toan NL, Van Hoan N, Cuong DV, Dung NV, Dung PT, Hang NT, et al. Adipose tissue-derived cytokines and their correlations with clinical characteristics in Vietnamese patients with type 2 diabetes mellitus. Diabetol Metab Syndr. (2018) 10:41. doi: 10.1186/s13098-018-0343-4

PubMed Abstract | CrossRef Full Text | Google Scholar

140. Zhang R, Shen Y, Zhou L, Sangwung P, Fujioka H, Zhang L, et al. Short-term administration of nicotinamide mononucleotide preserves cardiac mitochondrial homeostasis and prevents heart failure. J Mol Cell Cardiol. (2017) 112:64–73. doi: 10.1016/j.yjmcc.2017.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

141. Diguet N, Trammell SAJ, Tannous C, Deloux R, Piquereau J, Mougenot N, et al. Nicotinamide riboside preserves cardiac function in a mouse model of dilated cardiomyopathy. Circulation. (2018) 137:2256–73. doi: 10.1161/CIRCULATIONAHA.116.026099

CrossRef Full Text | Google Scholar

142. Straburzyńska-Migaj E, Pilaczyńska-Szcześniak L, Nowak A, Straburzyńska-Lupa A, Sliwicka E, Grajek S. Serum concentration of visfatin is decreased in patients with chronic heart failure. Acta Biochim Pol. (2012) 59:339–43. doi: 10.18388/abp.2012_2118

PubMed Abstract | CrossRef Full Text | Google Scholar

143. Watanabe T, Watanabe-Kominato K, Takahashi Y, Kojima M, Watanabe R. Adipose tissue-derived omentin-1 function and regulation. Compr Physiol. (2017) 7:765–81. doi: 10.1002/cphy.c160043

PubMed Abstract | CrossRef Full Text | Google Scholar

144. Escoté X, Gómez-Zorita S, López-Yoldi M, Milton-Laskibar I, Fernández-Quintela A, Martínez JA, et al. Role of omentin, vaspin, cardiotrophin-1, TWEAK and NOV/CCN3 in obesity and diabetes development. Int J Mol Sci. (2017) 18:1770. doi: 10.3390/ijms18081770

PubMed Abstract | CrossRef Full Text | Google Scholar

145. Li F, Pang LZ, Zhang L, Zhang Y, Zhang YY, Yu BY, et al. YiQiFuMai powder injection ameliorates chronic heart failure through cross-talk between adipose tissue and cardiomyocytes via up-regulation of circulating adipokine omentin. Biomed Pharmacother. (2019) 119:109418. doi: 10.1016/j.biopha.2019.109418

PubMed Abstract | CrossRef Full Text | Google Scholar

146. Watanabe K, Watanabe R, Konii H, Shirai R, Sato K, Matsuyama TA, et al. Counteractive effects of omentin-1 against atherogenesis. Cardiovasc Res. (2016) 110:118–28. doi: 10.1093/cvr/cvw016

PubMed Abstract | CrossRef Full Text | Google Scholar

147. Menzel J, di Giuseppe R, Biemann R, Wittenbecher C, Aleksandrova K, Eichelmann F, et al. Association between chemerin, omentin-1 and risk of heart failure in the population-based EPIC-potsdam study. Sci Rep. (2017) 7:14171. doi: 10.1038/s41598-017-14518-2

PubMed Abstract | CrossRef Full Text | Google Scholar

148. Jiang H, Zhao G, Li X, Jin H, Yang G, Jin K, et al. Association between omentin and echo parameters in patients with chronic heart failure. Minerva Cardioangiol. (2017) 65:8–15. doi: 10.23736/S0026-4725.16.04093-7

PubMed Abstract | CrossRef Full Text | Google Scholar

149. Huang Y, Lin Y, Zhang S, Wang Z, Zhang J, Chang C, et al. Circulating omentin-1 levels are decreased in dilated cardiomyopathy patients with overt heart failure. Dis Markers. (2016) 2016:6762825. doi: 10.1155/2016/6762825

PubMed Abstract | CrossRef Full Text | Google Scholar

150. Agra-Bermejo RM, Gonzalez-Ferreiro R, Lopez-Canoa JN, Varela-Roman A, Gomez-Otero I, Eiras S, et al. Long-term weight gain associated with high omentin levels at hospital discharge improves prognosis of patients following acute heart failure. J Cardiovasc Transl Res. (2019) 12:231–9. doi: 10.1007/s12265-018-9840-y

PubMed Abstract | CrossRef Full Text | Google Scholar

151. Narumi T, Watanabe T, Kadowaki S, Kinoshita D, Yokoyama M, Honda Y, et al. Impact of serum omentin-1 levels on cardiac prognosis in patients with heart failure. Cardiovasc Diabetol. (2014) 13:84. doi: 10.1186/1475-2840-13-84

PubMed Abstract | CrossRef Full Text | Google Scholar

152. Wei X, Liu X, Tan C, Mo L, Wang H, Peng X, et al. Expression and function of zinc-α2-glycoprotein. Neurosci Bull. (2019) 35:540–50. doi: 10.1007/s12264-018-00332-x

CrossRef Full Text | Google Scholar

153. Zahid H, Miah L, Lau AM, Brochard L, Hati D, Bui TT, et al. Zinc-induced oligomerization of zinc α2 glycoprotein reveals multiple fatty acid-binding sites. Biochem J. (2016) 473:43–54. doi: 10.1042/BJ20150836

PubMed Abstract | CrossRef Full Text | Google Scholar

154. Ebrahimi E, Kheirouri S, Alizadeh M. Down-regulation of S100A1 protein in patients with metabolic syndrome and its association with zinc-α2-glycoprotein. Scott Med J. (2017) 62:88–95. doi: 10.1177/0036933017727433

PubMed Abstract | CrossRef Full Text | Google Scholar

155. Sörensen-Zender I, Bhayana S, Susnik N, Rolli V, Batkai S, Baisantry A, et al. Zinc-α2-glycoprotein exerts antifibrotic effects in kidney and heart. J Am Soc Nephrol. (2015) 26:2659–68. doi: 10.1681/ASN.2014050485

PubMed Abstract | CrossRef Full Text | Google Scholar

156. Qu C, Zhou X, Yang G, Li L, Liu H, Liang Z. The natural logarithm of zinc-α2-glycoprotein/HOMA-IR is a better predictor of insulin sensitivity than the product of triglycerides and glucose and the other lipid ratios. Cytokine. (2016) 79:96–102. doi: 10.1016/j.cyto.2015.12.024

PubMed Abstract | CrossRef Full Text | Google Scholar

157. Severo JS, Morais JBS, Beserra JB, Dos Santos LR, de Sousa Melo SR, de Sousa GS, et al. Role of zinc in zinc-α2-glycoprotein metabolism in obesity: a review of literature. Biol Trace Elem Res. (2020) 193:81–88. doi: 10.1007/s12011-019-01702-w

PubMed Abstract | CrossRef Full Text | Google Scholar

158. Lai Y, Chen J, Li L, Yin J, He J, Yang M, et al. Circulating Zinc-α2-glycoprotein levels and insulin resistance in polycystic ovary syndrome. Sci Rep. (2016) 6:25934. doi: 10.1038/srep25934

PubMed Abstract | CrossRef Full Text | Google Scholar

159. Liu Y, Wang T, Liu X, Wei X, Xu T, Yin M, et al. Neuronal zinc-α2-glycoprotein is decreased in temporal lobe epilepsy in patients and rats. Neuroscience. (2017) 357:56–66. doi: 10.1016/j.neuroscience.2017.05.043

PubMed Abstract | CrossRef Full Text | Google Scholar

160. Li C, Li J, Chen Y, Zhong X, Kang M. Effect of curcumin on visfatin and zinc-α2-glycoprotein in a rat model of non-alcoholic fatty liver disease. Acta Cir Bras. (2016) 31:706–13. doi: 10.1590/s0102-865020160110000001

PubMed Abstract | CrossRef Full Text | Google Scholar

161. Bilovol OM, Knyazkova II, Al-Travneh OV, Bogun MV, Berezin AE. Altered adipocytokine profile predicts early stage of left ventricular remodeling in hypertensive patients with type 2 diabetes mellitus. Diabetes Metab Syndr. (2020) 14:109–16. doi: 10.1016/j.dsx.2020.01.011

PubMed Abstract | CrossRef Full Text | Google Scholar

162. Moschen AR, Adolph TE, Gerner RR, Wieser V, Tilg H. Lipocalin-2: a master mediator of intestinal and metabolic inflammation. Trends Endocrinol Metab. (2017) 28:388–97. doi: 10.1016/j.tem.2017.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

163. Cowland JB, Muta T, Borregaard N. IL-1beta-specific up-regulation of neutrophil gelatinase-associated lipocalin is controlled by IkappaB-zeta. J Immunol. (2006) 176:5559–66. doi: 10.4049/jimmunol.176.9.5559

PubMed Abstract | CrossRef Full Text | Google Scholar

164. Yan QW, Yang Q, Mody N, Graham TE, Hsu CH, Xu Z, et al. The adipokine lipocalin 2 is regulated by obesity and promotes insulin resistance. Diabetes. (2007) 56:2533–40. doi: 10.2337/db07-0007

PubMed Abstract | CrossRef Full Text | Google Scholar

165. Catalán V, Gómez-Ambrosi J, Rodríguez A, Ramírez B, Silva C, Rotellar F, et al. Increased adipose tissue expression of lipocalin-2 in obesity is related to inflammation and matrix metalloproteinase-2 and metalloproteinase-9 activities in humans. J Mol Med. (2009) 87:803–13. doi: 10.1007/s00109-009-0486-8

PubMed Abstract | CrossRef Full Text | Google Scholar

166. Law IK, Xu A, Lam KS, Berger T, Mak TW, Vanhoutte PM, et al. Lipocalin-2 deficiency attenuates insulin resistance associated with aging and obesity. Diabetes. (2010) 59:872–82. doi: 10.2337/db09-1541

PubMed Abstract | CrossRef Full Text | Google Scholar

167. Song E, Jahng JW, Chong LP, Sung HK, Han M, Luo C, et al. Lipocalin-2 induces NLRP3 inflammasome activation via HMGB1 induced TLR4 signaling in heart tissue of mice under pressure overload challenge. Am J Transl Res. (2017) 9:2723–35.

PubMed Abstract | Google Scholar

168. Thorin-Trescases N, Thorin E. Angiopoietin-like-2: a multifaceted protein with physiological and pathophysiological properties. Expert Rev Mol Med. (2014) 16:e17. doi: 10.1017/erm.2014.19

PubMed Abstract | CrossRef Full Text | Google Scholar

169. Jin X, Guo B, Yan J, Yang R, Chang L, Wang Y, et al. Angiotensin II increases secreted frizzled-related protein 5 (sFRP5) expression through AT1 receptor/Rho/ROCK1/JNK signaling in cardiomyocytes. Mol Cell Biochem. (2015) 408:215–22. doi: 10.1007/s11010-015-2497-9

PubMed Abstract | CrossRef Full Text | Google Scholar

170. Lin H, Angeli M, Chung KJ, Ejimadu C, Rosa AR, Lee T. sFRP2 activates Wnt/β-catenin signaling in cardiac fibroblasts: differential roles in cell growth, energy metabolism, and extracellular matrix remodeling. Am J Physiol Cell Physiol. (2016) 311:C710–9. doi: 10.1152/ajpcell.00137.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

171. Zhu X, Kny M, Schmidt F, Hahn A, Wollersheim T, Kleber C, et al. Secreted frizzled-related protein 2 and inflammation-induced skeletal muscle atrophy. Crit Care Med. (2017) 45:e169–83. doi: 10.1097/CCM.0000000000002056

PubMed Abstract | CrossRef Full Text | Google Scholar

172. Abdolmaleki F, Heidarianpour A. The response of serum Glypican-4 levels and its potential regulatory mechanism to endurance training and chamomile flowers' hydroethanolic extract in streptozotocin-nicotinamide-induced diabetic rats. Acta Diabetol. (2018) 55:935–42. doi: 10.1007/s00592-018-1173-4

PubMed Abstract | CrossRef Full Text | Google Scholar

173. Harthan LB, McFarland DC, Velleman SG. The effect of syndecan-4 and glypican-1 expression on age-related changes in myogenic satellite cell proliferation, differentiation, and fibroblast growth factor 2 responsiveness. Comp Biochem Physiol A Mol Integr Physiol. (2013) 166:590–602. doi: 10.1016/j.cbpa.2013.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

174. Hu B, Gao Y, Davies L, Woo S, Topczewski J, Jessen JR, et al. Glypican 4 and Mmp14 interact in regulating the migration of anterior endodermal cells by limiting extracellular matrix deposition. Development. (2018) 145:dev163303. doi: 10.1242/dev.163303

PubMed Abstract | CrossRef Full Text | Google Scholar

175. Leelalertlauw C, Korwutthikulrangsri M, Mahachoklertwattana P, Chanprasertyothin S, Khlairit P, Pongratanakul S, et al. Serum glypican 4 level in obese children and its relation to degree of obesity. Clin Endocrinol. (2017) 87:689–95. doi: 10.1111/cen.13435

PubMed Abstract | CrossRef Full Text | Google Scholar

176. Ussar S, Bezy O, Blüher M, Kahn CR. Glypican-4 enhances insulin signaling via interaction with the insulin receptor and serves as a novel adipokine. Diabetes. (2012) 61:2289–98. doi: 10.2337/db11-1395

PubMed Abstract | CrossRef Full Text | Google Scholar

177. Ning DP, Xu K, Zhu HJ, Shan GL, Wang DM, Ping B, et al. Serum Glypican 4 levels are associated with metabolic syndrome in a han population from guizhou province, China. Biomed Environ Sci. (2019) 32:383–8. doi: 10.3967/bes2019.052

PubMed Abstract | CrossRef Full Text | Google Scholar

178. Jedrzejuk D, Lwow F, Kuliczkowska-Płaksej J, Hirnle L, Trzmiel-Bira A, Lenarcik-Kabza A, et al. Association of serum glypican-4 levels with cardiovascular risk predictors in women with polycystic ovary syndrome - a pilot study. Gynecol Endocrinol. (2016) 32:223–6. doi: 10.3109/09513590.2015.1110137

PubMed Abstract | CrossRef Full Text | Google Scholar

179. Christensen G, Herum KM, Lunde IG. Sweet, yet underappreciated: proteoglycans and extracellular matrix remodeling in heart disease. Matrix Biol. (2019) 75–76:286–99. doi: 10.1016/j.matbio.2018.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

180. Lu HY, Li XF, Mu PW, Jiang W, Zeng LY. Depot-specific expression of retinol-binding protein 4 in human adipose tissue and their relationship with obesity and insulin resistance. Zhonghua Yi Xue Za Zhi. (2010) 90:3395–8.

PubMed Abstract | Google Scholar

181. Ulgen F, Herder C, Kühn MC, Willenberg HS, Schott M, Scherbaum WA, et al. Association of serum levels of retinol-binding protein 4 with male sex but not with insulin resistance in obese patients. Arch Physiol Biochem. (2010) 116:57–62. doi: 10.3109/13813451003631421

PubMed Abstract | CrossRef Full Text | Google Scholar

182. Lee DC, Lee JW, Im JA. Association of serum retinol binding protein 4 and insulin resistance in apparently healthy adolescents. Metabolism. (2007) 56:327–31. doi: 10.1016/j.metabol.2006.10.011

PubMed Abstract | CrossRef Full Text | Google Scholar

183. Chavarria N, Kato TS, Khan R, Chokshi A, Collado E, Akashi H, et al. Increased levels of retinol binding protein 4 in patients with advanced heart failure correct after hemodynamic improvement through ventricular assist device placement. Circ J. (2012) 76:2148–52. doi: 10.1253/circj.CJ-12-0350

PubMed Abstract | CrossRef Full Text | Google Scholar

184. Negrusz-Kawecka M. Udział TNF-alpha w etiopatogenezie niewydolności serca the role of TNF-alpha in the etiopathogenesis of heart failure. Pol Merkur Lekarski. (2002) 12:69–72. doi: 10.1016/s0735-1097(99)00600-2

PubMed Abstract | CrossRef Full Text | Google Scholar

185. Mann DL. Innate immunity and the failing heart: the cytokine hypothesis revisited. Circ Res. (2015) 116:1254–68. doi: 10.1161/CIRCRESAHA.116.302317

PubMed Abstract | CrossRef Full Text | Google Scholar

186. Sarzi-Puttini P, Atzeni F, Shoenfeld Y, Ferraccioli G. TNF-alpha, rheumatoid arthritis, and heart failure: a rheumatological dilemma. Autoimmun Rev. (2005) 4:153–61. doi: 10.1016/j.autrev.2004.09.004

PubMed Abstract | CrossRef Full Text | Google Scholar

187. Mousa SA, Goncharuk O, Miller D. Recent advances of TNF-alpha antagonists in rheumatoid arthritis and chronic heart failure. Expert Opin Biol Ther. (2007) 7:617–25. doi: 10.1517/14712598.7.5.617

PubMed Abstract | CrossRef Full Text | Google Scholar

188. Kotyla PJ. Bimodal function of anti-TNF treatment: shall we be concerned about anti-TNF treatment in patients with rheumatoid arthritis and heart failure? Int J Mol Sci. (2018) 19:1739. doi: 10.3390/ijms19061739

PubMed Abstract | CrossRef Full Text | Google Scholar

189. Rahman A, Jafry S, Jeejeebhoy K, Nagpal AD, Pisani B, Agarwala R. Malnutrition and cachexia in heart failure. JPEN J Parenter Enteral Nutr. (2016) 40:475–86. doi: 10.1177/0148607114566854

PubMed Abstract | CrossRef Full Text | Google Scholar

190. Fedacko J, Singh RB, Gupta A, Hristova K, Toda E, Kumar A, et al. Inflammatory mediators in chronic heart failure in North India. Acta Cardiol. (2014) 69:391–8. doi: 10.1080/AC.69.4.3036655

PubMed Abstract | CrossRef Full Text | Google Scholar

191. Kaur K, Sharma AK, Singal PK. Significance of changes in TNF-alpha and IL-10 levels in the progression of heart failure subsequent to myocardial infarction. Am J Physiol Heart Circ Physiol. (2006) 291:H106–13. doi: 10.1152/ajpheart.01327.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

192. Büyüklü M, Kürüm AT, Tatlý E, Set T. Effects of levosimendan on TNF-alpha, BNP and MMP-1 in patients with heart failure with anemia. Arq Bras Cardiol. (2012) 99:659–64. doi: 10.1590/S0066-782X2012005000055

PubMed Abstract | CrossRef Full Text | Google Scholar

193. Schumacher SM, Naga Prasad SV. Tumor necrosis factor-α in heart failure: an updated review. Curr Cardiol Rep. (2018) 20:117. doi: 10.1007/s11886-018-1067-7

PubMed Abstract | CrossRef Full Text | Google Scholar

194. Longo M, Zatterale F, Naderi J, Parrillo L, Formisano P, Raciti GA, et al. Adipose tissue dysfunction as determinant of obesity-associated metabolic complications. Int J Mol Sci. (2019) 20:2358. doi: 10.3390/ijms20092358

PubMed Abstract | CrossRef Full Text | Google Scholar

195. Lee YS, Kim JW, Osborne O, Oh DY, Sasik R, Schenk S, et al. Increased adipocyte O2 consumption triggers HIF-1α, causing inflammation and insulin resistance in obesity. Cell. (2014) 157:1339–52. doi: 10.1016/j.cell.2014.05.012

PubMed Abstract | CrossRef Full Text | Google Scholar

196. Wang B, Wood IS, Trayhurn P. Dysregulation of the expression and secretion of inflammation-related adipokines by hypoxia in human adipocytes. Pflugers Arch. (2007) 455:479–92. doi: 10.1007/s00424-007-0301-8

PubMed Abstract | CrossRef Full Text | Google Scholar

197. Pasarica M, Sereda OR, Redman LM, Albarado DC, Hymel DT, Roan LE. Reduced adipose tissue oxygenation in human obesity: evidence for rarefaction, macrophage chemotaxis, and inflammation without an angiogenic response. Diabetes. (2009) 58:718–25. doi: 10.2337/db08-1098

PubMed Abstract | CrossRef Full Text | Google Scholar

198. Muir LA, Neeley CK, Meyer KA, Baker NA, Brosius AM, Washabaugh AR, et al. Adipose tissue fibrosis, hypertrophy, and hyperplasia: correlations with diabetes in human obesity. Obesity. (2016) 24:597–605. doi: 10.1002/oby.21377

PubMed Abstract | CrossRef Full Text | Google Scholar

199. Britton KA, Fox CS. Ectopic fat depots and cardiovascular disease. Circulation. (2011) 124:e837–41. doi: 10.1161/CIRCULATIONAHA.111.077602

PubMed Abstract | CrossRef Full Text | Google Scholar

200. Murdolo G, Piroddi M, Luchetti F, Tortoioli C, Canonico B, Zerbinati C, et al. Oxidative stress and lipid peroxidation by-products at the crossroad between adipose organ dysregulation and obesity-linked insulin resistance. Biochimie. (2013) 95:585–94. doi: 10.1016/j.biochi.2012.12.014

PubMed Abstract | CrossRef Full Text | Google Scholar

201. Sharma S, Adrogue JV, Golfman L, Uray I, Lemm J, Youker K, et al. Intramyocardial lipid accumulation in the failing human heart resembles the lipotoxic rat heart. FASEB J. (2004) 18:1692–700. doi: 10.1096/fj.04-2263com

PubMed Abstract | CrossRef Full Text | Google Scholar

202. Stepien E, Costa MC, Kurc S, Drozdz A, Cortez-Dias N, Enguita FJ. The circulating non-coding RNA landscape for biomarker research: lessons and prospects from cardiovascular diseases. Acta Pharmacol Sin. (2018) 39:1085–99. doi: 10.1038/aps.2018.35

PubMed Abstract | CrossRef Full Text | Google Scholar

203. Kobayashi Y, Eguchi A, Tempaku M, Honda T, Togashi K, Iwasa M, et al. Circulating extracellular vesicles are associated with lipid and insulin metabolism. Am J Physiol Endocrinol Metab. (2018) 315:E574–82. doi: 10.1152/ajpendo.00160.2018

PubMed Abstract | CrossRef Full Text | Google Scholar

204. Zhou Y, Tan C. miRNAs in adipocyte-derived extracellular vesicles: multiple roles in development of obesity-associated disease. Front Mol Biosci. (2020) 7:171. doi: 10.3389/fmolb.2020.00171

PubMed Abstract | CrossRef Full Text | Google Scholar

205. Eguchi A, Lazic M, Armando AM, Phillips SA, Katebian R, Maraka S, et al. Circulating adipocyte-derived extracellular vesicles are novel markers of metabolic stress. J Mol Med. (2016) 94:1241–53. doi: 10.1007/s00109-016-1446-8

PubMed Abstract | CrossRef Full Text | Google Scholar

206. Tang R, Long T, Lui KO, Chen Y, Huang ZP. A roadmap for fixing the heart: RNA regulatory networks in cardiac disease. Mol Ther Nucleic Acids. (2020) 20:673–86. doi: 10.1016/j.omtn.2020.04.007

PubMed Abstract | CrossRef Full Text | Google Scholar

207. Heidemann C, Sun Q, van Dam RM, Meigs JB, Zhang C, Tworoger SS, et al. Total and high-molecular-weight adiponectin and resistin in relation to the risk for type 2 diabetes in women. Ann Intern Med. (2008) 149:307–16. doi: 10.7326/0003-4819-149-5-200809020-00005

PubMed Abstract | CrossRef Full Text | Google Scholar

208. Nigro E, Scudiero O, Monaco ML, Palmieri A, Mazzarella G, Costagliola C, et al. New insight into adiponectin role in obesity and obesity-related diseases. Biomed Res Int. (2014) 2014:658913. doi: 10.1155/2014/658913

PubMed Abstract | CrossRef Full Text | Google Scholar

209. De Rosa A, Monaco ML, Capasso M, Forestieri P, Pilone V, Nardelli C, et al. Adiponectin oligomers as potential indicators of adipose tissue improvement in obese subjects. Eur J Endocrinol. (2013) 169:37–43. doi: 10.1530/EJE-12-1039

PubMed Abstract | CrossRef Full Text | Google Scholar

210. Oh DK, Ciaraldi T, Henry RR. Adiponectin in health and disease. Diabetes Obes Metab. (2007) 9:282–9. doi: 10.1111/j.1463-1326.2006.00610.x

PubMed Abstract | CrossRef Full Text | Google Scholar

211. Tsao TS. Assembly of adiponectin oligomers. Rev Endocr Metab Disord. (2014) 15:125–36. doi: 10.1007/s11154-013-9256-6

PubMed Abstract | CrossRef Full Text | Google Scholar

212. Hashimoto N, Kanda J, Nakamura T, Horie A, Kurosawa H, Hashimoto T, et al. Association of hypoadiponectinemia in men with early onset of coronary heart disease and multiple coronary artery stenoses. Metabolism. (2006) 55:1653–7. doi: 10.1016/j.metabol.2006.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

213. Djoussé L, Wilk JB, Hanson NQ, Glynn RJ, Tsai MY, Gaziano JM. Association between adiponectin and heart failure risk in the physicians' health study. Obesity. (2013) 21:831–4. doi: 10.1002/oby.20260

PubMed Abstract | CrossRef Full Text | Google Scholar

214. Karas MG, Benkeser D, Arnold AM, Bartz TM, Djousse L, Mukamal KJ, et al. Relations of plasma total and high-molecular-weight adiponectin to new-onset heart failure in adults ≥65 years of age (from the cardiovascular health study). Am J Cardiol. (2014) 113:328–34. doi: 10.1016/j.amjcard.2013.09.027

PubMed Abstract | CrossRef Full Text | Google Scholar

215. Van Berendoncks AM, Garnier A, Ventura-Clapier R, Conraads VM. Adiponectin: key role and potential target to reverse energy wasting in chronic heart failure. Heart Fail Rev. (2013) 18:557–66. doi: 10.1007/s10741-012-9349-4

PubMed Abstract | CrossRef Full Text | Google Scholar

216. Van Berendoncks AM, Garnier A, Beckers P, Hoymans VY, Possemiers N, Fortin D, et al. Exercise training reverses adiponectin resistance in skeletal muscle of patients with chronic heart failure. Heart. (2011) 97:1403–9. doi: 10.1136/hrt.2011.226373

PubMed Abstract | CrossRef Full Text | Google Scholar

217. Tsukamoto O, Fujita M, Kato M, Yamazaki S, Asano Y, Ogai A, et al. Natriuretic peptides enhance the production of adiponectin in human adipocytes and in patients with chronic heart failure. J Am Coll Cardiol. (2009) 53:2070–7. doi: 10.1016/j.jacc.2009.02.038

PubMed Abstract | CrossRef Full Text | Google Scholar

218. Szabó T, Scherbakov N, Sandek A, Kung T, von Haehling S, Lainscak M, et al. Plasma adiponectin in heart failure with and without cachexia: catabolic signal linking catabolism, symptomatic status, and prognosis. Nutr Metab Cardiovasc Dis. (2014) 24:50–6. doi: 10.1016/j.numecd.2013.04.015

PubMed Abstract | CrossRef Full Text | Google Scholar

219. Springer J, Anker SD, Doehner W. Adiponectin resistance in heart failure and the emerging pattern of metabolic failure in chronic heart failure. Circ Heart Fail. (2010) 3:181–2. doi: 10.1161/CIRCHEARTFAILURE.110.945063

PubMed Abstract | CrossRef Full Text | Google Scholar

220. Krause MP, Liu Y, Vu V, Chan L, Xu A, Riddell MC, et al. Adiponectin is expressed by skeletal muscle fibers and influences muscle phenotype and function. Am J Physiol Cell Physiol. (2008) 295:C203–12. doi: 10.1152/ajpcell.00030.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

221. Zhang Y, Chua S Jr. Leptin function and regulation. Compr Physiol. (2017) 8:351–69. doi: 10.1002/cphy.c160041

CrossRef Full Text | Google Scholar

222. Flier JS, Maratos-Flier E. Leptin's physiologic role: does the emperor of energy balance have no clothes? Cell Metab. (2017) 26:24–26. doi: 10.1016/j.cmet.2017.05.013

PubMed Abstract | CrossRef Full Text | Google Scholar

223. Santoro A, Mattace Raso G, Meli R. Drug targeting of leptin resistance. Life Sci. (2015) 140:64–74. doi: 10.1016/j.lfs.2015.05.012

PubMed Abstract | CrossRef Full Text | Google Scholar

224. Reid IR, Baldock PA, Cornish J. Effects of leptin on the skeleton. Endocr Rev. (2018) 39:938–59. doi: 10.1210/er.2017-00226

PubMed Abstract | CrossRef Full Text | Google Scholar

225. Procaccini C, La Rocca C, Carbone F, De Rosa V, Galgani M, Matarese G. Leptin as immune mediator: interaction between neuroendocrine and immune system. Dev Comp Immunol. (2017) 66:120–9. doi: 10.1016/j.dci.2016.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

226. Takeishi Y, Niizeki T, Arimoto T, Nozaki N, Hirono O, Nitobe J, et al. Serum resistin is associated with high risk in patients with congestive heart failure - a novel link between metabolic signals and heart failure. Circ J. (2007) 71:460–4. doi: 10.1253/circj.71.460

PubMed Abstract | CrossRef Full Text | Google Scholar

227. Saeedi Borujeni MJ, Esfandiary E, Taheripak G, Codoñer-Franch P, Alonso-Iglesias E, Mirzaei H. Molecular aspects of diabetes mellitus: resistin, microRNA, and exosome. J Cell Biochem. (2018) 119:1257–72. doi: 10.1002/jcb.26271

PubMed Abstract | CrossRef Full Text | Google Scholar

228. Turgay Yildirim Ö, Yildirir A, Sade LE, Has Hasirci S, Kozan H, Özçalik E, et al. Is there a relationship between resistin levels and left ventricular end-diastolic pressure? Anatol J Cardiol. (2018) 19:267–72. doi: 10.14744/AnatolJCardiol.2018.66181

PubMed Abstract | CrossRef Full Text | Google Scholar

229. Dimitriadis GK, Adya R, Tan BK, Jones TA, Menon VS, Ramanjaneya M, et al. Effects of visfatin on brown adipose tissue energy regulation using T37i cells. Cytokine. (2019) 113:248–55. doi: 10.1016/j.cyto.2018.07.013

PubMed Abstract | CrossRef Full Text | Google Scholar

230. Radzicka S, Pietryga M, Iciek R, Brazert J. The role of visfatin in pathogenesis of gestational diabetes (GDM). Ginekol Pol. (2018) 89:518–21. doi: 10.5603/GP.a2018.0088

PubMed Abstract | CrossRef Full Text | Google Scholar

231. Qu S, Mo L, Niu Y, Sun X, Li H, Wang Z, et al. Expression of visfatin in the diabetic rat retina. Clin Exp Ophthalmol. (2016) 44:251–9. doi: 10.1111/ceo.12692

PubMed Abstract | CrossRef Full Text | Google Scholar

232. Sun L, Chen S, Gao H, Ren L, Song G. Visfatin induces the apoptosis of endothelial progenitor cells via the induction of pro-inflammatory mediators through the NF-κB pathway. Int J Mol Med. (2017) 40:637–46. doi: 10.3892/ijmm.2017.3048

PubMed Abstract | CrossRef Full Text | Google Scholar

233. Berezin AE, Samura TA, Kremzer AA, Berezina TA, Martovitskaya YV, Gromenko EA. An association of serum visfatin level and number of circulating endothelial progenitor cells in type 2 diabetes mellitus patients. Diabetes Metab Syndr. (2016) 10:205–12. doi: 10.1016/j.dsx.2016.06.008

PubMed Abstract | CrossRef Full Text | Google Scholar

234. Kumari B, Yadav UCS. Adipokine visfatin's role in pathogenesis of diabesity and related metabolic derangements. Curr Mol Med. (2018) 18:116–25. doi: 10.2174/1566524018666180705114131

PubMed Abstract | CrossRef Full Text | Google Scholar

235. Garten A, Schuster S, Penke M, Gorski T, de Giorgis T, Kiess W. Physiological and pathophysiological roles of NAMPT and NAD metabolism. Nat Rev Endocrinol. (2015) 11:535–46. doi: 10.1038/nrendo.2015.117

PubMed Abstract | CrossRef Full Text | Google Scholar

236. Marques FZ, Prestes PR, Byars SG, Ritchie SC, Würtz P, Patel SK, et al. Experimental and human evidence for lipocalin-2 (neutrophil gelatinase-associated lipocalin [NGAL]) in the development of cardiac hypertrophy and heart failure. J Am Heart Assoc. (2017) 6:e005971. doi: 10.1161/JAHA.117.005971

PubMed Abstract | CrossRef Full Text | Google Scholar

237. Ahmad T, Jackson K, Rao VS, Tang WHW, Brisco-Bacik MA, Chen HH, et al. Worsening renal function in patients with acute heart failure undergoing aggressive diuresis is not associated with tubular injury. Circulation. (2018) 137:2016–28. doi: 10.1161/CIRCULATIONAHA.117.030112

CrossRef Full Text | Google Scholar

238. Tabata M, Kadomatsu T, Fukuhara S, Miyata K, Ito Y, Endo M, et al. Angiopoietin-like protein 2 promotes chronic adipose tissue inflammation and obesity-related systemic insulin resistance. Cell Metab. (2009) 10:178–88. doi: 10.1016/j.cmet.2009.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

239. Pedersen BK. Anti-inflammatory effects of exercise: role in diabetes and cardiovascular disease. Eur J Clin Invest. (2017) 47:600–11. doi: 10.1111/eci.12781

PubMed Abstract | CrossRef Full Text | Google Scholar

240. Chandramouli C, Tay WT, Bamadhaj NS, Tromp J, Teng TK, Yap JJL, et al. ASIAN-HF investigators. Association of obesity with heart failure outcomes in 11 Asian regions: a cohort study. PLoS Med. (2019) 16:e1002916. doi: 10.1371/journal.pmed.1002916

PubMed Abstract | CrossRef Full Text | Google Scholar

241. Tadic M, Cuspidi C. Obesity and heart failure with preserved ejection fraction: a paradox or something else? Heart Fail Rev. (2019) 24:379–85. doi: 10.1007/s10741-018-09766-x

CrossRef Full Text | Google Scholar

242. Sawicka M, Janowska J, Chudek J. Potential beneficial effect of some adipokines positively correlated with the adipose tissue content on the cardiovascular system. Int J Cardiol. (2016) 222:581–9. doi: 10.1016/j.ijcard.2016.07.054

PubMed Abstract | CrossRef Full Text | Google Scholar