Abstract
Obesity is a critical risk factor for the development of type 2 diabetes (T2D), and its prevalence is rising worldwide. White adipose tissue (WAT) has a crucial role in regulating systemic energy homeostasis. Adipose tissue expands by a combination of an increase in adipocyte size (hypertrophy) and number (hyperplasia). The recruitment and differentiation of adipose precursor cells in the subcutaneous adipose tissue (SAT), rather than merely inflating the cells, would be protective from the obesity-associated metabolic complications. In metabolically unhealthy obesity, the storage capacity of SAT, the largest WAT depot, is limited, and further caloric overload leads to the fat accumulation in ectopic tissues (e.g., liver, skeletal muscle, and heart) and in the visceral adipose depots, an event commonly defined as “lipotoxicity.” Excessive ectopic lipid accumulation leads to local inflammation and insulin resistance (IR). Indeed, overnutrition triggers uncontrolled inflammatory responses in WAT, leading to chronic low-grade inflammation, therefore fostering the progression of IR. This review summarizes the current knowledge on WAT dysfunction in obesity and its associated metabolic abnormalities, such as IR. A better understanding of the mechanisms regulating adipose tissue expansion in obesity is required for the development of future therapeutic approaches in obesity-associated metabolic complications.
Keywords: obesity, adipose tissue, lipotoxicity, insulin resistance, diabetes, hypertrophic obesity, inflammation, adipogenesis, ectopic lipid deposition, adipose tissue dysfunction
1. Introduction
Severe obesity is associated with elevated risks of adverse health consequences. The prevalence of obesity is rising worldwide, and if the trend continues, global prevalence will reach 18% in men and 21% in women by 2025 [1]. A positive energy balance between energy intake and energy expenditure results in weight gain and obesity [2]. Many factors, including genetics, epigenetics, and lifestyle factors, have been implicated in obesity pathogenesis [2,3,4,5,6,7]. In most cases, no single factor is exclusively responsible for the development of obesity. Rather, obesity results from the interaction of these factors and these combinations can vary over time and between individuals [2,3,4]. Dietary and lifestyle interventions can be adequate to treat obesity and prevent metabolic alterations. Moderate and progressive weight loss improves metabolic function in different tissues and contributes to dose-dependent changes in the main adipose tissue biological pathways. Nevertheless, these approaches are difficult to maintain in the long term [8].
Obesity is a critical risk factor for the development of type 2 diabetes (T2D). By 2025, more than 300 million people are expected to have T2D as a complication of obesity [9]. The primary cause of T2D is obesity-driven insulin resistance (IR) in white adipose tissue (WAT), liver, and skeletal muscle, combined with impaired secretion of insulin by pancreatic β-cells to overcome this resistance [10]. Obesity-induced IR is also linked to a wide cluster of obesity-associated metabolic abnormalities, such as dyslipidemia, non-alcoholic fatty liver disease (NAFLD), hypertension [11], coronary heart disease, and stroke [12].
Insulin reduces blood glucose by inducing glucose uptake in insulin-sensitive tissues (skeletal muscle, adipose tissue, and liver) and by inhibiting glucose production in liver. IR occurs when the insulin-sensitive tissues lose insulin response. In this scenario, insulin-mediated glucose uptake is impaired in the insulin target tissues. This failure is a result of the insulin signaling pathway inhibition [13]. Nonetheless, an overall paradigm has been strengthened by many studies over several decades [14,15] in which overnutrition in predisposed individuals leads to IR in peripheral tissues. This effect increases blood glucose levels, which in turn stimulates the β-cell insulin secretion [16]. There are several hypotheses to explain the mechanisms responsible for IR in obese subjects. These mechanisms include adipose tissue dysfunction/lipotoxicity, inflammation, mitochondrial dysfunction, hyperinsulinemia, and endoplasmic reticulum (ER) stress. Although there is no theory for a unifying mechanism, most of these factors are typically and concomitantly associated with obesity. Here, we review the current knowledge of WAT dysfunction in obesity and its associated metabolic abnormalities.
WAT is a complex organ and has primary roles in energy homeostasis control. Adipocytes not only act as a reservoir for energy storage and utilization, but also sense energy demands and secrete paracrine factors to regulate other metabolic tissues. In a high energy state, for example, leptin is secreted from adipocytes to reduce food intake centrally and increase energy expenditure [17,18]. However, in obesity, WAT may become severely dysfunctional and not expand properly to store the energy excess. This induces ectopic fat deposition in other tissues that regulates glucose homeostasis, an event commonly defined as “lipotoxicity”. This mechanism leads to systemic IR and an increased risk of T2D [19,20]. Numerous deleterious effects have been associated with the unhealthy expansion of the WAT, including inflammation, fibrosis, hypoxia, altered adipokines secretion, and mitochondrial dysfunction, each of which could represent a new therapeutic target in the obesity treatment [10]. In prolonged positive energy balance conditions, adipocytes expand cell size and number to compensate the need for increased lipid storage. These cells inevitably reach a limit at which additional anabolic pressure cannot be accommodated, due to cell and tissue expansion limitations. Reaching this threshold causes stress in adipocytes and initiates an inflammatory program in response to this stress [19].
In obesity, “healthy” WAT expansion is achieved by recruiting and differentiating adipose precursor cells rather than infiltrating fat into mature adipocytes. Alterations in the precursor cell commitment and subcutaneous adipose tissue (SAT) adipogenesis are associated with the metabolic complications of obesity. When the storage capacity of SAT, the largest adipose tissue depot, is exceeded, further caloric overload leads to the fat accumulation in ectopic tissues (liver, skeletal muscle, and heart) as well as in the visceral depots. It has been largely demonstrated that excessive lipid accumulation in ectopic tissues leads to local inflammation and IR (Figure 1). The ectopic fat accumulation in the pancreas, for example, contributes to β-cell dysfunction, and recent studies in human have proved that the bariatric surgery can improve β-cell function by decreasing pancreatic fat accumulation [21,22]. A marker of ectopic fat accumulation in human is the increased visceral/intra-abdominal fat accumulation, associated with abdominal obesity [23]. Independently of body mass index (BMI), adipose tissue dysfunction, increased visceral and ectopic fat accumulation, and inflammation may contribute to unhealthy obesity and associated IR.
Although IR has, by definition, different potential pathogenic mechanisms, we believe that, given the relevance of its association with obesity, it is likely that adipose tissue dysfunction becomes the major contributor to subsequent associated complications in a high percentage of obese patients. This review outlines the current knowledge on WAT expansion in obesity and highlights the mechanisms that make it dysfunctional and associated with metabolic alterations, including inflammation, impaired adipogenesis, and ectopic lipid deposition.
2. Adipose Tissue Remodeling in Obesity
The adipose tissue has a crucial role in the regulation of systemic energy homeostasis acting as a “safe” depot to store excess fat. In overnutrition, mature adipocytes accumulate more fat and undergo cellular hypertrophy [24], whereas during calorie restriction they provide nutrients to other tissues through lipolysis [25].
To review the adipose tissue remodeling in obesity and associated metabolic comorbidities, it is essential to examine how the morphology can change depending on the adipose tissue location. The adipose tissue is classified, according to the regional distribution, as SAT (located under the skin) and visceral adipose tissue (VAT; associated with internal organs), and it is diffused throughout the entire human body [26]. The sites of adipose tissue accumulation are strictly conserved across several species [26,27,28,29]. The development and formation of these two adipose tissue types are different, and even in adult life, they show different functions and structures [30,31]. Adiposity is a polygenic trait; several genes control phenotypic variability [32], and multiple pathways regulate its development [33].
Different studies report that fat distribution is strongly associated with IR, the main risk factor for T2D and cardiovascular disease (CVD) [34]. A systematic review and meta-analysis of observational studies by Zhang et al. demonstrates that the accumulation of VAT is the strongest predictor of IR [35]. Nevertheless, obesity indices (total fat mass, BMI, and waist circumference) and adipose tissue depots (intra-abdominal and total abdominal fat) are significantly correlated with IR [35]. Other human studies have also shown that the accumulation of lipids in the abdominal SAT correlates with the onset of IR and T2D. Central adiposity rather than peripheral adiposity is an important risk factor in establishing metabolic diseases [36,37].
In response to a positive energy balance, dynamic mechanisms reorganize the adipose tissue by changing the number and size of mature adipocytes. In the meantime, the precursor cells of the stromal vascular fraction begin to be recruited and committed towards the adipocyte lineage. Hypertrophic adipocytes secrete paracrine factors (hormones and cytokines), which facilitate preadipocytes recruitment and promote their differentiation into mature adipocytes [38]. These events are generally defined as “adipose tissue remodeling” [39]. In obesity, alteration in adipose tissue remodeling may induce the dysregulation of adipose tissue secreted cytokines, leading to local and systemic inflammation and impaired adipogenesis of precursor cells, as further discussed later in this review [40,41].
In addition to the regional distribution of fat, the adipocyte morphology (hypertrophy vs. hyperplasia) contributes to the obesity-associated metabolic abnormalities. In a chronic state of positive energy balance, the adipocyte size reaches a critical threshold before recruiting precursor cells to increase the adipocytes number. Spalding et al. demonstrated that the adipocyte number is tightly regulated and determined during childhood, suggesting that the increase in cell size is the main plasticity mechanism in response to an energy imbalance [42]. Adipose tissue hyperplasia is considered as a “recovery mechanism” to overnutrition [42]. The adipocytes that reach the critical cell size become lipid-overloaded and insulin-resistant, and adipose tissue hyperplasia attempts to repair metabolic alterations [43]. In vivo data confirm these observations in AdipoChaser mice, a model to track adipogenic footpath in vivo [44]. In diet-induced obesity, AdipoChaser mice already show hypertrophic VAT in four weeks, while tissue hyperplasia occurs within two months. Interestingly, SAT exhibits only hypertrophy by two months of high-fat diet and limited adipogenesis. Using stable isotope methodology to measure SAT and VAT adipogenesis, Kim et al. confirmed these observations and found a positive association between adipocyte turnover and insulin sensitivity. They identified adipocyte hypertrophy as the major mechanism of adult fat mass expansion, supporting the concept that the failure of adipose tissue plasticity results in IR and metabolic disease [45]. Similar findings have also been reported in human study [46].
The impaired adipose tissue remodeling in obesity is not a homogeneous condition, and obesity does not necessarily translate into IR and increased risk for metabolic comorbidities. Several studies have reported that a subgroup of obese individuals remains insulin-sensitive and metabolically “healthy” and exhibits normal physiology and hormonal profiles [47,48,49]. Such healthy but overweight individuals are classified as “metabolically healthy obese” [50]. They exhibit increased subcutaneous adiposity but reduced adipose inflammation and expansion of VAT. Nevertheless, longitudinal studies are providing compelling evidence that metabolically healthy obesity is likely to be a transient condition [51,52]. Furthermore, to support this concept, a part of the obesity spectrum is represented by metabolically obese normal-weight (MONW) individuals [53,54]. Thirty years ago, Ruderman et al. introduced the concept that some non-obese individuals show several risk factors (increased adipose cell size and hyperinsulinemia) for metabolic disorders [55]. Investigations revealed that these MONW individuals are characterized by increased levels of visceral adiposity, IR, and a higher susceptibility to T2D and CVD [56]. These data indicate that both regional depositions of adipose tissue (visceral and/or subcutaneous) and adipocyte morphology (cell size; hypertrophy and/or hyperplasia) contribute to an increased risk of IR [38,57]. In line with these findings, individuals with increased adipogenic capacity in SAT display a reduced adipose cell size and maintain a healthy metabolic state. In a cohort of unhealthy obese subjects, the adipocyte volume threshold predicts an increased risk for obesity-associated T2D. An increased adipocyte size is also associated with a lower improvement of IR after bariatric surgery. Moreover, lipid-overloaded hypertrophic adipocytes per se are sufficient to cause IR in adipose tissue [defects in glucose transporter type 4 (GLUT4) trafficking to the plasma membrane], independently of adipocyte inflammation [58,59]. However, other studies place inflammation at the center of the mechanisms by which hypertrophy leads to IR, as further discussed below. Increased pro-inflammatory cytokines [tumor necrosis factor alfa (TNF-α), interleukin-6 (IL-6), interleukin-8 (IL-8), and monocyte chemoattractant protein1 (MCP-1)] secretion [60] by hypertrophic adipocytes leads to serine phosphorylation of insulin receptor substrate-1 (IRS-1), therefore preventing the insulin signaling [61]. Pro-inflammatory cytokines also promote local and systemic inflammation by recruiting macrophages and T-cells [41,62]. Hypertrophy also induces local adipose tissue hypoxia [63] that activates hypoxia-inducible factor (HIF) 1α, increases the local inflammation and accelerates adipose tissue fibrosis [64].
Furthermore, hypertrophic adipocytes manifest significant alterations in cell metabolism. Basal lipolysis is elevated in hypertrophic adipocytes [65], increasing the leakage of free fatty acids (FFAs). Conversely, smaller insulin-sensitive adipocytes show a higher lipogenesis-to-lipolysis ratio [66]. In unhealthy obesity, fat mobilization from adipocytes is impaired, and insulin is unable to suppress lipolysis. Unesterified fatty acids and cholesterol spill over from large adipocytes into ectopic sites that are not designed primarily for lipid storage. This mechanism is a major trigger of lipotoxicity and systemic IR [20,67,68]. Several criteria have been adopted to define hypertrophic or hyperplastic WAT. In 2010, Arner et al. defined a morphology value as the difference between measured adipocyte volume and expected adipocyte volume (based on a curvilinear relationship between fat cell volume and fat mass in 764 subjects) [42,69]. A positive value indicates an adipocyte volume larger than expected and subjects were classified as hypertrophic, while a negative value indicates an adipocyte volume smaller than expected and subjects were classified as hyperplastic. In a cohort of 764 subjects, Arner et al. found that the occurrence of hyperplasia or hypertrophy is independent of sex and body weight but correlates with fasting plasma insulin levels and insulin sensitivity. The total adipocyte number and morphology are negatively related, and the number of total adipocytes is increased in hyperplasia than in hypertrophy. The total number of newly generated adipocytes each year is 70% lower in hypertrophy than in hyperplasia [69].
Other studies have concluded that adipocytes include a heterogeneous population of cells that display a bimodal distribution based on their cell size. Measurement by microscopy highlights a peak of small adipocytes of ∼25 μm in diameter and a peak of larger adipocytes of ∼50 μm in diameter [57,70]. The size of the larger fraction of the adipocytes in a bimodal distribution is positively associated with metabolic dysfunction. McLaughlin et al. showed that insulin-resistant individuals had larger adipocytes (50 μm fraction) in the abdominal SAT when compared with insulin-sensitive individuals [70]. Furthermore, an increase in the size of the larger adipocytes fraction after feeding a high-fat diet predicts deterioration of insulin-stimulated glucose uptake in insulin-sensitive obese individuals [24]. Alterations in the adipose tissue plasticity are the major trigger of the obesity-associated metabolic complications. In obesity, the inadequate fat depots response to the caloric overflow leads to systemic metabolic alterations.
3. Impaired Adipogenesis and Insulin Resistance in Adipose Tissue Dysfunction
The limited expandability of the SAT leads to an inappropriate adipose cell expansion with local inflammation and insulin-resistant phenotype [71]. By contrast, the expansion of adipose tissue by enhanced adipogenesis not only distributes excess fat between newly differentiated adipocytes, but also reduces the number of hypertrophic adipocytes that secrete inflammatory cytokines [72]. Promoting adipose cell recruitment in the SAT rather than merely inflating the cells would be protective from the obesity-associated metabolic complications.
Pluripotent mesenchymal stem cells (MSCs) can develop into several cell types, including adipocytes, myocytes, chondrocytes, and osteocytes. These stem cells are located in the vascular stroma of adipose tissue as well as in the bone marrow [73]; indeed, bone marrow-derived cells account for approximately 10% of the SAT cell population and are therefore increased by up to 25% in obese people [74]. MSCs, when appropriately stimulated, undergo a multistep process of commitment in which the progenitor cells become restricted to the adipocyte lineage [73]. Accordingly, adipogenesis can be divided into two phases: commitment (or determination) and terminal differentiation. Determination results in the conversion of the stem cell into a preadipocyte, which cannot be distinguished morphologically from its precursor cell but has lost the potential to differentiate into other cell types. In the second phase, the terminal differentiation, the preadipocyte takes on the characteristics of the mature adipocyte that acquires the necessary machinery for lipid transport and synthesis, insulin sensitivity, and the secretion of adipocyte-specific proteins. All of these steps are controlled by a network of interacting transcription factors operating to coordinate the expression of many hundreds of proteins responsible for establishing the mature fat cell phenotype (Figure 2) [75,76].
3.1. Adipocyte Commitment
The wingless-type mouse mammary tumor virus integration site family (WNT) signaling pathway is a fundamental regulator of preadipocytes commitment. WNTs family ligands are the secreted glycoproteins that regulate adult tissue homeostasis and remodeling by autocrine and paracrine mechanisms [77]. WNTs exert their effects by signaling through “canonical” and “non-canonical” pathways to control cell proliferation, survival and determination. Canonical WNT pathway activation results in stabilization and translocation of the β-catenin into the nucleus. In preadipocytes, this results in a failure induction of peroxisome proliferator-activated receptor gamma (PPARγ), CCAAT/enhancer-binding protein alfa (C/EBPα) and a shift towards an osteoblastic cell lineage [72,77,78]. The WNT signaling pathway thus plays a critical role in maintaining uncommitted and undifferentiated precursor cells and its termination is a prerequisite for allowing for induction of adipogenic differentiation. Dickkopf (DKK) family proteins specifically inhibit the canonical WNT pathway by binding as an antagonist to the low-density lipoprotein-receptor-related protein-5 or -6 (LRP5/6) co-receptors. Expression of DKK1 gene and protein is transiently induced and secreted during differentiation of human preadipocytes as an autocrine regulator. This leads to the inhibition of WNT signaling pathways and induction of preadipocytes commitment and differentiation [77]. However, there is an impaired inhibition of the canonical WNT pathway in hypertrophic obesity, partially due to a failure induction of DKK1 gene expression in adipocyte precursor cells [79,80]. Nevertheless, the inhibition of canonical WNT signaling through DKK1 secretion is not sufficient to induce adipogenic commitment of the preadipocytes, as this requires coordinated activation and/or inhibition of several other pathways.
Several studies have identified that bone morphogenetic protein 4 (BMP4) is sufficient to drive adipocyte commitment and is required for adipogenic differentiation in vitro. BMP4 binds its receptor and signals to activate the downstream transcription factor SMAD Family Member 4 (SMAD4) [81,82]. The activated SMAD4 is then able to induce terminal differentiation in preadipocytes by stimulating transcription of PPARγ, the key regulator of adipogenesis. Indeed, BMP4 induces nuclear entry of the PPARγ transcriptional activator zinc-finger protein 423 (ZNF423) [83], through the dissociation of an intracellular protein complex between wnt1-inducible-signalling pathway protein 2 (WISP2) and ZNF423 which retains ZNF423 in the cytosol. BMP4 dissociates this complex, allowing nuclear entry of ZNF423, thereby activating PPARγ transcription and commitment of precursor cells into the adipocyte lineage [83]. Many human studies show numerous alterations in this pathway in subjects characterized by SAT hypertrophy with an inability to recruit and differentiate preadipocytes [79,82,83]. BMP4 is highly expressed and secreted by adipocytes, in particular in obese individuals [82]. This is probably a feedback signal to recruit new cells in order to prevent further pathologic expansion of adipose cells. Nevertheless, this does not work in hypertrophic obesity; indeed, secretion of BMP4 antagonists, in particular Gremlin 1 in humans, is increased in hypertrophic obesity and prevents the expected positive effect of BMP4 on adipogenesis [82]. The inability to dissociate WISP2/ZNF423 complex favors the development of hypertrophic obesity and associated metabolic consequences, including IR and T2D. In addition, Smith and colleagues [83] have identified the WISP2 protein as a novel adipokine involved in the crosstalk between WNT and BMP4 signaling pathways. WISP2 protein is highly expressed in early adipogenic precursor cells and the SAT of individuals with hypertrophic obesity. WISP2 acts both intra- and extracellularly [79,84] and has the potential to enhance the proliferation of MSCs in WAT [85]. Secreted WISP2 is an atypical WNT ligand, which activates the canonical WNT pathway through an unidentified signaling pathway, which involves LRP5/6 co-receptor. This prevents the adipogenesis process and allows the cells to proliferate and remain lineage-uncommitted [79]. Inside the cytosol, WISP2 protein forms a complex with the regulator of preadipocyte determination ZNF423, preventing its translocation into the nucleus and the ZNF423-mediated upregulation of PPARγ gene [83]. The zinc-finger transcription factor Zfp423 (mouse orthologue) has been identified as a fundamental determinant of preadipocyte commitment [86]. Zfp423 ectopic expression in non-adipogenic cells is sufficient to activate PPARγ expression and increase the adipogenic potential of these cells, while its knockout impairs the development of white and brown adipose tissue in mice [86]. Thus, Zfp423 is crucial for the initial formation of WAT and plays an important role in maintaining the energy-storing phenotype of white mature adipocytes at a later stage [87].
We have recently demonstrated [88] that changes in DNA methylation at the ZNF423 gene promoter are key mechanisms in the regulation of its transcription, and these epigenetic events are fundamental to enable precursor cells to differentiate into mature adipocytes. Furthermore, our results in human preadipocyte reveal that the expression of ZNF423 negatively correlates with the cell size of human subcutaneous adipocytes. In hypertrophic obese individuals, a massive hypermethylation occurs at CpG dinucleotides within a promoter region of the human ZNF423 gene and closely correlates with the reduced ZNF423 expression in the adipocyte precursor cells. We have also shown that BMP4 causes demethylation of the Zfp423 promoter, which is sufficient to commit otherwise non-adipogenic cells to the adipogenic lineage. Thus, the convergence of BMP4 signaling on Zfp423 enables its action on pre-adipocyte determination through multiple mechanisms, including epigenetic modifications at key genes and nuclear translocation of Zfp423 [88]. Hence, changes in the methylation profile at a specific regulatory region of the ZNF423 gene account for its transcription regulation and may explain the impaired adipogenesis of the preadipocytes observed in human hypertrophic obese subjects.
3.2. Adipocyte Terminal Differentiation
The molecular regulation of terminal differentiation is more extensively characterized than determination because of the use of cell lines that have a restricted potential to differentiate into other cell types such as 3T3L1 and 3T3-F442A murine cells.
Adipogenesis, and in particular terminal differentiation, includes a series of transcriptional processes involving the sequential expression of several transcriptional factors, culminating in the activation of C/EBP proteins and PPARγ, the central transcriptional regulators of adipogenesis. The first step involves the temporary induction of CEBPβ and CEBPδ, which in turn directly drives the expression of C/EBPα and PPARγ [7]. C/EBPα and PPARγ functionally synergize to activate the mature adipocyte program properly. More than 90% of PPARγ DNA-binding sites also bind C/EBPα. These factors cooperatively orchestrate adipocyte biology by adjacent binding sites and establish the mature adipocyte phenotype [72,89]. When activated, C/EBPα and PPARγ induce and maintain the expression of key adipogenic genes, such as GLUT4, adipocyte fatty acid-binding protein 2 (AP2), and adiponectin, which are necessary for normal adipocyte function including insulin sensitivity [89].
Thiazolidinediones (TZDs), the best-known PPARγ synthetic ligands, have been used as anti-diabetic drugs, and their beneficial effects in the treatment of IR and obesity are well demonstrated. Activating PPARγ by TZDs treatment enhances WAT expansion, alleviates peripheral lipotoxicity and reduces inflammatory cytokines secretion [38]. This activation increases the WAT’s ability to store lipids and reduces ectopic lipid accumulation in the liver and muscle, by the induction of fatty acid metabolism in patients with T2D. The metabolic effects include reduced triglyceride levels in blood, liver, and muscle, coupled with increased triglyceride content in the adipose tissue [90,91].
To further support the importance of PPARγ in controlling adipogenesis and systemic insulin sensitivity, Majithia et al. identified all possible missense PPARγ variants in the normal population that impair adipocyte differentiation and that are associated with an increased risk for the onset of T2D [92]. In addition to these, other PPARγ variants have been recently recognized. Aprile and colleagues identified a truncated isoform of PPARγ (PPARγΔ5), which lacks the entire ligand-binding domain. PPARγΔ5 is expressed in human adipose tissue and, during adipocyte differentiation, acts as a dominant-negative isoform by reducing PPARγ activity and impairing the differentiation ability of preadipocytes. Additionally, PPARgΔ5 expression in SAT positively correlates with BMI in obese and T2D patients, possibly contributing to adipose tissue dysfunction and associated metabolic alterations [93].
These findings support the hypothesis that alterations in adipose tissue expansion in obesity, caused by impaired adipogenesis, are closely associated with IR.
4. Chronic Inflammation Links Obesity to Insulin Resistance
To explain the pathogenesis linking obesity with IR and diabetes, several studies support a correlative and causative association between nutrient excess and activation of the innate immune system in organs involved in energy homeostasis [94]. Adipose tissue has been historically considered only a storage organ. However, this view was revised after Spiegelman’s group revealed that adipose tissue acts as an important active endocrine organ [39,95]. Adipose tissue secretes lipids, bioactive peptides (adipokines), and other metabolites, modulating whole-body energy and glucose homeostasis [39,96,97]. White adipose depots are composed of various cell types such as endothelial cells, fibroblasts, preadipocytes, stem cells, and multiple immune cells that work together to maintain adipocytes integrity and hormonal sensitivity [98]. Inflammation occurs as a consequence of obesity and recent insight suggests that it may play a causal role in inducing IR [99]. The first mechanistic evidence of the inflammatory origin of obesity and diabetes comes from human and animal investigations conducted in the early 1990s. The WAT of obese rodents and humans was found to exhibit inflammatory changes and increased levels of the proinflammatory cytokine TNF-α able to induce IR [95]. As a general observation, insulin-resistant obese individuals exhibit a high degree of adipose tissue inflammation, whereas obese patients that remain insulin sensitive show no features of tissue inflammation [100]. A sustained weight loss has been shown to ameliorate systemic glucose homeostasis by improving inflammation and insulin action in the liver [101].
As mentioned above, adipose tissue responds dynamically to alterations in calories excess through adipocyte hypertrophy and hyperplasia [18,101]. The rapid expansion of adipose tissue in obesity could provide intrinsic signals including adipocyte death, hypoxia, and mechanical stress arising from interactions between the cells and the extracellular matrix that might trigger an inflammatory response [19]. An increase in adipocyte size is accompanied by a macrophage recruitment and an elevated rate of adipocyte death. Larger adipocytes display an altered secretion of chemoattractant and immune-related genes that may promote macrophage infiltration [102]. Macrophages are the most abundant leukocytes in the adipose tissue of mice and humans contributing to obesity-induced inflammation. During obesity, they constitute up to 40% of all adipose tissue cells [103]. An increase in macrophage numbers has been found in the WAT of obese mice and human subjects as a consequence of the rising levels of several factors (e.g., FFAs, cholesterol, and lipopolysaccharide) [103].
Adipose tissue macrophages (ATMs) are classified into two major subtypes: M1, activated macrophages with proinflammatory properties, and M2, activated macrophages associated with an anti-inflammatory profile [104]. In healthy lean animals, ATMs are dispersed throughout WAT and display an activated anti-inflammatory M2 phenotype [105,106]. Macrophages in association with T regulatory cells release a cascade of anti-inflammatory mediators contributing to maintaining insulin sensitivity in adipocytes and inhibiting the dysregulation and inflammation of the adipose tissue [107]. In obesity, hypertrophic adipocytes exhibit many peculiar features, such as some necrotic-like abnormalities [108]. It has been shown that an increase in dead adipocytes prevents adipose tissue function and induces inflammation [39].
A massive influx of monocytes was observed in the adipose tissue around necrotic adipocytes where differentiate into proinflammatory M1 macrophages, forming a “crown-like structure”. M1-polarized macrophages secrete a variety of inflammatory cytokines (e.g., interleukin 1 beta (IL-1β), MCP-1, TNF-α, and IL-6) contributing to local and systemic inflammation and IR [105,109]. These proinflammatory macrophages also release chemokines to recruit the next wave of incoming monocytes. Besides macrophages, many other immune cells (e.g., dendritic cells, mast cells, neutrophils, B cells, and T cells) reside in adipose tissue during obesity, playing a key role in the development of inflammation and IR [103,110].
Adipocyte hypertrophy also results in a deficiency of vasculature and local adipose tissue hypoxia [64,111]. Hypoxia is an important trigger for the induction of adipose tissue inflammation. Several evidences indicate that hypoxia develops as WAT expands owing to a relative reduction in perfusion of the hypertrophic adipocytes or an increase in oxygen utilization [64]. Cellular hypoxia may start inflammation by inducing the HIF-1α gene program [112]. Exposure of WAT to hypoxic conditions can induce upregulation of many inflammatory genes [113] whereas adipocyte-specific HIF-1α deletion prevents obesity-induced inflammation and IR [64]. Conversely, activation in ATMs of HIF-2α, another key player in the hypoxic responses, has been shown to alleviate adipose tissue inflammation and IR [114].
In addition to an altered adipokine secretion, hypertrophic adipocytes show enhanced basal lipolysis, increasing the leakage of FFAs [65,115]. Secretion of these factors triggers multiple inflammatory signaling pathways in both macrophages and adipocytes. For instance, FFAs can promote inflammation by binding to toll-like receptors 2 and 4 through the adaptor protein fetuin-A, resulting in activation of nuclear factor-kappa B (NF-κB) and c-Jun N-terminal kinase (JNK) signaling pathways [104,116]. Once activated, these pathways can increase the synthesis and secretion of many chemokines (e.g., MCP-1) in adipocytes, contributing to IR and proinflammatory macrophage infiltration. For this, JNK and NF-κB are considered crucial for inflammation-induced IR [117]. JNK stress kinase induces inhibitory (serine/threonine) phosphorylation of the IRS proteins. In detail, both JNK and NF-κB pathways can phosphorylate IRS1 on serine-307 residue [118]. Inhibitory IRS1 phosphorylation impairs insulin tyrosine-phosphorylation, reducing its interaction with phosphatidylinositol 3-kinase (PI3K) [118]. A previous study conducted in high-fat diet-fed rats have shown that JNK inhibition may attenuate IR, improve insulin sensitivity, increase insulin-stimulated IRS1 tyrosine phosphorylation, and decrease IRS1 serine phosphorylation [119].
As mentioned above, NF-κB is a signaling pathway implicated in inflammation-induced IR. In physiological conditions, NF-κB proteins are sequestered in the cytoplasm by a family of inhibitors called inhibitors of κB (IκBs) [120]. Activation of IKK kinase complex induces proteasomal degradation of IκBα, leading to the NF-κB nuclear translocation. This results in the enhanced expression of several NF-κB target genes with potential involvement in the pathogenesis of IR [e.g., IL-6, TNF-α, interferon gamma (IFN-γ), transforming growth factor beta (TGFβ), MCP-1, and receptor for advanced glycosylation end product (RAGE)] [117,121]. Accordingly, NF-κB-inhibiting treatments improve IR, suggesting a critical role for the NF-κB pathway in inflammation-induced IR [122,123]. Both the JNK and NF-κB pathways are also induced following ER stress and activation of the unfolded protein response [124]. In obesity, ER stress signals and unfolded protein response are widely activated. ER stress pharmacological inhibition in different tissues (e.g., liver, adipose, and brain) can reverse metabolic dysfunction [125,126].
Besides affecting insulin action, chronic low-grade inflammation alters preadipocytes differentiation into mature adipocytes. An in vitro study has shown that the exposure of pre-adipocytes to pro-inflammatory cytokines compromises adipocyte differentiation [127]. The mechanism of TGFβ action has been extensively investigated; its secretion inhibits adipogenesis by blocking the PPARγ-CEBPα transcriptional network [128]. Following an altered adipose tissue expansion in the obese, hypertrophic adipocytes release large amounts of TGFβ, further exacerbating the impaired adipogenesis [128]. However, recent insights highlight the concept that proper adipose tissue remodeling requires activation of an acute and transient inflammatory response [72].
In conclusion, chronic low-grade inflammation leads to adipose tissue dysfunction, impairing adipogenesis and insulin sensitivity. Inflammation is a finely regulated mechanism, and defects in its balance cause adipose tissue dysfunction.
5. Ectopic Fat Accumulation and Insulin Resistance
Ectopic fat deposition is defined as the accumulation of triglycerides in tissues not associated with adipose tissue storage, containing only small amounts of fat [129]. These alterations have been associated with adverse effects on local and systemic insulin sensitivity [24]. According to “adipose tissue expandability and spillover hypotheses”, excess fat is stored in SAT as triglycerides, but once their storage capacity is exceeded, the excess of circulating lipids will be deposited in non-adipose organs (liver, skeletal muscle, heart, and pancreas) [130]. Limited fat storage capacity is characterized by adipocyte hypertrophy, hypoxia, and a pro-inflammatory adipose tissue phenotype that can cause local and systemic IR [131,132].
Multiple genetic, environmental and behavioral factors contribute to subcutaneous versus ectopic fat deposition [133]. Recent findings indicate that dietary fat composition affects ectopic lipid accumulation and therefore IR [134,135]. Findings from previous studies provide compelling evidence that macronutrient composition plays a role in ectopic fat deposition in liver. Indeed, fatty acid and carbohydrate composition affect the fat accumulation in the liver in isocaloric diet studies [136,137].
SAT angiogenic capacity is another factor contributing to ectopic fat deposition. Impaired angiogenesis of the adipose tissue could potentially limit adipogenesis and thus contribute to metabolic dysfunction by promoting ectopic lipid accumulation. Additionally, human SAT has a considerable capillary density and angiogenic growth capacity, but this ability has been reduced by morbid obesity and adversely correlated with insulin sensitivity [138].
Ectopic fat depots can be classified according to their local and systemic potential implications. We can speculate that there are two major subtypes of ectopic fat depots, locally acting fat depots such as pericardial, perivascular, and epicardial fat, and systematically acting fat depots consisting of intrahepatic and intramuscular fat [139].
5.1. Liver
Liver plays a key role in maintaining hepatic fat homeostasis and energy balance through multiple metabolic pathways (e.g., de novo lipogenesis, fatty acid uptake, fatty acid oxidation, and triacylglycerol export). An imbalance between these processes could result in abnormal hepatic lipid accumulation [140,141], commonly referred to as NAFLD. NAFLD is the most frequent chronic liver disorder in the general population [142]. In people with reduced or dysfunctional SAT associated with obesity, the liver is particularly susceptible to ectopic lipid accumulation [143]. In obesity, adipose tissue is highly lipolytic and, according to the “portal hypothesis”, the liver would be directly exposed to increased levels of FFAs and inflammatory factors released from fat into the portal circulation [144].
Lipids accumulate as lipid droplets in the cytoplasm, but glycerols themselves do not damage the cells, but rather the imbalance between the above-described metabolic pathways that leads to intermediate toxic lipid synthesis (e.g., diacylglycerol and ceramides) [84,145]. Convergent evidence suggests a role in lipid-induced hepatic IR for these intermediate lipid products [146,147]. Indeed, acute ceramide depletion in adult mouse hepatocytes or adipocytes prevents and reverses hepatic lipid accumulation as well as improving systemic glucose tolerance and insulin sensitivity in diet-induced obesity mice [148]. First, both lipids have been associated with skeletal muscle IR and then assumed to mediate liver IR. However, the mechanisms proposed for hepatic IR induced by diacylglycerols and ceramides are slightly different from those identified in the skeletal muscle [148,149]. In liver, hepatic accumulation of diacylglycerides has been associated with impaired hepatic insulin signaling and IR via the induction of protein kinase Cε (PKCε), leading to a reduced insulin-stimulated phosphorylation of IRS2 and AKT serine/threonine kinase 2 (Akt2) and the ability to activate glycogen synthesis [150]. Chronic low-grade inflammation also promotes toxic intermediates accumulation in liver by increasing fatty acid uptake and triglyceride synthesis and reducing fatty acid oxidation. The anti-inflammatory therapy may improve this adverse effect [151].
A study conducted in mice overexpressing acyl-CoA diacylglycerol acyltransferase 2 (DGAT2) in the liver, an integral membrane protein essential for triglyceride biosynthesis, can shed light on the mechanisms [152]. Findings showed that these mice are characterized by hepatic IR associated with an increased hepatic cytosolic diacylglycerols accumulation leading to the activation of PKCε, which results in reduced IRS2 tyrosine phosphorylation and in the inability of insulin to activate hepatic glycogen synthesis and suppress hepatic glucose production [153]. These mice also exhibit a reduction in the pAkt/Akt insulin-stimulated ratio, a clear evidence of IR. In addition, they showed a slight increase in hepatic ceramide content, which may also have contributed to the hepatic IR observed in this mouse model [153]. This study reassessed the role of hepatic diacylglycerols and other lipid intermediates in causing hepatic IR in this mouse model. However, these data reflect the results found by a previous study where rats (a murine model of NAFLD), treated with DGAT2 antisense oligonucleotide, show improved hepatic insulin sensitivity which could be attributed to a reduction of hepatic diacylglycerols, triglyceride content and PKCε activation [154]. Together, these findings showed that an increase in hepatic diacylglycerol content induces PKCε activation and is responsible for the progression of hepatic IR.
5.2. Skeletal Muscle
Skeletal muscle, as a metabolic organ, is one of the main tissues responsible for whole-body glucose homeostasis and lipid utilization. Diacylglycerols and ceramides can also activate PKCε in the skeletal muscle in lipid over-supply conditions. Beside the liver, PKCε phosphorylates IRS1 on serine residues impairing activation of PI3K and insulin signaling in skeletal muscle [155,156]. These two lipid intermediates are directly linked to impaired insulin signaling [157].
Deletion of genes encoding for lipoprotein lipase, fatty acid transporters and DGAT1 proteins reduces skeletal muscle lipid accumulation and suppresses the above-mentioned side effects [154,158].
Increased skeletal muscle lipid content has long been considered important to induce whole-body IR in human obesity. However, insulin-sensitive and endurance-trained athletes have also increased lipid content in the skeletal muscle, coexisting with an increased oxidative capacity and lipid metabolism [159,160]. In contrast with physically inactive subjects, where lipid supply usually exceeds oxidative capacity, physically active individuals are characterized by an enhanced lipid turnover and this affects critical parameters such as the levels of specific lipid species and their cellular location [161]. Multiple evidence, therefore, suggests that it is not the total amount of intramuscular lipids per se that induces detrimental effects on the insulin sensitivity, but rather the accumulation and location of lipid intermediates [155].
5.3. Heart
Ectopic lipid deposition in the heart results in a form of “cardiac lipotoxicity” characterized by cardiac IR, apoptosis of the cardiac myocytes, and contractile dysfunction [162,163]. One of the earliest effects of obesity is the increased circulation of FFAs and triacylglycerols resulting in the increased fatty acid delivery to the heart [164]. The excess of fatty acids absorbed by the myocardium (referring to cardiomyocyte lipids droplets) is primarily used for energy metabolism in the mitochondria or stored as triacylglycerols [165]. However, if the mitochondrial fatty acid β-oxidation cannot match the excess fatty acid delivery due to obesity, a number of different lipid intermediates begin to accumulate, including diacylglycerols and ceramides [166]. Diacylglycerols are potent lipid second messengers that can activate several isoforms of PKC which have been implicated in the development of myocardial disease including cardiac hypertrophy and diabetic cardiomyopathy [167], whereas ceramides function as key components of lipotoxic signaling pathways linking lipid-induced inflammation and inhibition of insulin signaling [168].
The excess of fat can also be accommodated in cardiac adipose tissue. Cardiac fat is classified as epicardial adipose tissue (EAT, on the myocardium surrounding the coronary arteries), pericardial (between the visceral and parietal pericardia), and perivascular adipose tissue (PVAT, surrounding blood vessels) [169,170]. PVAT has functional relevance and implications in CVD [171]. Among its functions, PVAT influences vascular homeostasis, and in particular the contractile response. In healthy individuals, PVAT releases different vasoactive mediators able to balance the vascular function [172]. In obesity, dysfunctional PVAT leads to increased release of vasoconstrictor and pro-inflammatory molecules with subsequent changes in vascular homeostasis [173]. EAT accumulation is also crucial for the development of obesity-related CVD [174]. EAT produces a wide range of bioactive molecules in metabolic disease states. Inflammatory cytokines and reactive oxidative species, released by EAT, play a critical role in the pathogenesis of coronary artery disease and cardiac arrhythmias by developing a local proatherogenic environment [175,176]. Dietary interventions and pharmacological treatment (statin therapy) prevent EAT accumulation and promote beneficial effects on cardiac health [171,177].
6. Concluding Remarks
For a long time, the role of adipose tissue has been underestimated, and it has been considered a merely storage organ. The obesity pandemic has put a spotlight on adipocyte function, and we now recognize it as an endocrine organ essential in regulating systemic energy homeostasis. Obesity and the associated metabolic diseases are rapidly increasing and, in our opinion, the dysfunction of adipose tissue is the central mechanism for the development of these complications. A deep understanding of the molecular mechanisms responsible for adipose tissue dysfunction is needed. Impaired adipose tissue plasticity also synergizes with age-related metabolic defects to exacerbate metabolic disorders. Understanding the molecular alterations that regulate defective adipose tissue plasticity may identify therapeutic targets to enhance the expandability and function of adipose tissue. Lifestyle interventions as exercise and diet are effective in promoting a healthy adipose tissue expansion, although these approaches are difficult to maintain in the long term. Recently, adipogenesis has emerged as a possible therapeutic target to enhance adipose tissue health. Increasing adipogenesis during weight gain can counteract the negative metabolic consequences of obesity. However, a remaining issue is to address these mechanisms in human.
In the era of personalized and precision medicine, increasing our knowledge of adipose tissue biology might enable us to overcome the limitations of the traditional anthropometric indices of obesity. Obesity-related metabolic complications do not correlate with BMI, and additional clinical parameters are necessary for risk evaluation. There is the need to move closer to an individualized understanding of adipose tissue health and its contribution on regulating systemic energy homeostasis.
Acknowledgments
This study was supported by the Ministero dell’Istruzione, dell’Università e della Ricerca Scientifica (grants PRIN 2015 and PRIN 2017), by the Regione Campania POR FESR 2014–2020–Obiettivo specifico 1.2.—Manifestazione di Interesse per la Realizzazione di Technology Platform nell’ambito della Lotta alle Patologie Oncologiche” Projects (RARE PLAT NET, SATIN, and COEPICA), by the Associazione Italiana per la Ricerca sul Cancro—AIRC (grant IG19001), by the INCIPIT program co-funded by the European Union’s Horizon 2020 Programme—Marie Skłodowska-Curie Actions (grant No.: 665403).
Abbreviations
MDPI | Multidisciplinary Digital Publishing Institute |
T2D | type 2 diabetes |
WAT | white adipose tissue |
SAT | subcutaneous adipose tissue |
NAFLD | non-alcoholic fatty liver disease |
BMI | body mass index |
VAT | visceral adipose tissue |
CVD | cardiovascular disease |
MONW | metabolically obese normal-weight |
GLUT4 | glucose transporter type 4 |
TNF-α | tumor necrosis factor-α |
IL-6 | interleukin-6 |
IL-8 | interleukin-8 |
MCP-1 | monocyte chemoattractant protein 1 |
IRS | insulin receptor substrate |
HIF | hypoxia-inducible factor |
FFA | free fatty acid |
MSC | pluripotent mesenchymal stem cell |
WNT | wingless-type mouse mammary tumor virus integration site family |
PPARγ | peroxisome proliferator-activated receptor-γ |
C/EBP-α | CCAAT/enhancer-binding protein α |
LRP5/6 | lipoprotein-receptor-related protein-5 or -6 |
DKK 1 | proadipogenic factors Dickkopf 1 |
BMP4 | bone morphogenetic protein 4 |
WISP2 | WNT1-inducible signaling pathway protein 2 |
TZD | thiazolidinediones |
ATM | adipose tissue macrophage |
NF-κB | nuclear factor-kappa B |
JNK | c-Jun N-terminal kinase |
PI3K | phosphatidylinositol 3-kinase |
IκB | inhibitor of κB |
ER | endoplasmic reticulum |
PKCε | protein kinase Cε |
DGAT2 | diacylglycerol acyl transferase 2 |
EAT | epicardial adipose tissue |
PVAT | perivascular adipose tissue |
Author Contributions
C.M., F.B., and P.F. conceived the idea and edited the manuscript. M.L., F.Z., J.N., G.A.R., and L.P. wrote the paper. M.L. and F.Z. prepared the figures. All authors reviewed the manuscript.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- 1.NCD Risk Factor Collaboration (NCD-RisC) Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet. 2016;387:1377–1396. doi: 10.1016/S0140-6736(16)30054-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Schwartz M.W., Seeley R.J., Zeltser L.M., Drewnowski A., Ravussin E., Redman L.M., Leibel R.L. Obesity pathogenesis: An Endocrine Society scientific statement. Endocr. Rev. 2017;38:267–296. doi: 10.1210/er.2017-00111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Hopkins M., Blundell J.E. Energy balance, body composition, sedentariness and appetite regulation: Pathways to obesity. Clin. Sci. 2016;130:1615–1628. doi: 10.1042/CS20160006. [DOI] [PubMed] [Google Scholar]
- 4.MacLean P.S., Blundell J.E., Mennella J.A., Batterham R.L. Biological control of appetite: A daunting complexity. Obesity (Silver Spring) 2017;25:S8–S16. doi: 10.1002/oby.21771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Albuquerque D., Stice E., Rodríguez-López R., Manco L., Nóbrega C. Current review of genetics of human obesity: From molecular mechanisms to an evolutionary perspective. Mol. Genet. Genomics. 2015;290:1191–1221. doi: 10.1007/s00438-015-1015-9. [DOI] [PubMed] [Google Scholar]
- 6.Parrillo L., Costa V., Raciti G.A., Longo M., Spinelli R., Esposito R., Nigro C., Vastolo V., Desiderio A., Zatterale F., et al. Hoxa5 undergoes dynamic DNA methylation and transcriptional repression in the adipose tissue of mice exposed to high-fat diet. Int. J. Obes. 2016;40:929–937. doi: 10.1038/ijo.2016.36. [DOI] [PubMed] [Google Scholar]
- 7.Raciti G.A., Spinelli R., Desiderio A., Longo M., Parrillo L., Nigro C., D’Esposito V., Mirra P., Fiory F., Pilone V., et al. Specific CpG hyper-methylation leads to Ankrd26 gene down-regulation in white adipose tissue of a mouse model of diet-induced obesity. Sci. Rep. 2017;7:43526. doi: 10.1038/srep43526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Magkos F., Fraterrigo G., Yoshino J., Luecking C., Kirbach K., Kelly S.C., de Las Fuentes L., He S., Okunade A.L., Patterson B.W., et al. Effects of Moderate and Subsequent Progressive Weight Loss on Metabolic Function and Adipose Tissue Biology in Humans with Obesity. Cell Metab. 2016;23:591–601. doi: 10.1016/j.cmet.2016.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Collaboration NRF Worldwide trends in diabetes since 1980: A pooled analysis of 751 population-based studies with 4.4 million participants. Lancet. 2016;387:1513–1530. doi: 10.1016/S0140-6736(16)00618-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kusminski C.M., Bickel P.E., Scherer P.E. Targeting adipose tissue in the treatment of obesity-associated diabetes. Nat. Rev. Drug Discov. 2016;15:639–660. doi: 10.1038/nrd.2016.75. [DOI] [PubMed] [Google Scholar]
- 11.Hall J.E., do Carmo J.M., da Silva A.A., Wang Z., Hall M.E. Obesity-induced hypertension: Interaction of neurohumoral and renal mechanisms. Circ. Res. 2015;116:991–1006. doi: 10.1161/CIRCRESAHA.116.305697. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Van Gaal L.F., Mertens I.L., De Block C.E. Mechanisms linking obesity with cardiovascular disease. Nature. 2006;444:875–880. doi: 10.1038/nature05487. [DOI] [PubMed] [Google Scholar]
- 13.Ye J. Mechanisms of insulin resistance in obesity. Front. Med. 2013;7:14–24. doi: 10.1007/s11684-013-0262-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.DeFronzo R.A., Bonadonna R.C., Ferrannini E. Pathogenesis of NIDDM. A balanced overview. Diabetes Care. 1992;15:318–368. doi: 10.2337/diacare.15.3.318. [DOI] [PubMed] [Google Scholar]
- 15.Kim S.H., Reaven G.M. Insulin resistance and hyperinsulinemia: You can’t have one without the other. Diabetes Care. 2008;31:1433–1438. doi: 10.2337/dc08-0045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Czech M.P. Insulin action and resistance in obesity and type 2 diabetes. Nat. Med. 2017;23:804–814. doi: 10.1038/nm.4350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Scherer P.E. Adipose tissue: From lipid storage compartment to endocrine organ. Diabetes. 2006;55:1537–1545. doi: 10.2337/db06-0263. [DOI] [PubMed] [Google Scholar]
- 18.Sun K., Kusminski C.M., Scherer P.E. Adipose tissue remodeling and obesity. J. Clin. Investig. 2011;121:2094–2101. doi: 10.1172/JCI45887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Reilly S.M., Saltiel A.R. Adapting to obesity with adipose tissue inflammation. Nat. Rev. Endocrinol. 2017;13:633–643. doi: 10.1038/nrendo.2017.90. [DOI] [PubMed] [Google Scholar]
- 20.Rutkowski J.M., Stern J.H., Scherer P.E. The cell biology of fat expansion. J. Cell Biol. 2015;208:501–512. doi: 10.1083/jcb.201409063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Singh R.G., Yoon H.D., Wu L.M., Lu J., Plank L.D., Petrov M.S. Ectopic fat accumulation in the pancreas and its clinical relevance: A systematic review, metaanalysis, and meta-regression. Metabolism. 2017;69:1–13. doi: 10.1016/j.metabol.2016.12.012. [DOI] [PubMed] [Google Scholar]
- 22.Gaborit B., Abdesselam I., Kober F., Jacquier A., Ronsin O., Emungania O., Lesavre N., Alessi M.C., Martin J.C., Bernard M., et al. Ectopic fat storage in the pancreas using 1H-MRS: Importance of diabetic status and modulation with bariatric surgery-induced weight loss. Int. J. Obes. 2015;39:480–487. doi: 10.1038/ijo.2014.126. [DOI] [PubMed] [Google Scholar]
- 23.Tchernof A., Després J.P. Pathophysiology of human visceral obesity: An update. Physiol. Rev. 2013;93:359–404. doi: 10.1152/physrev.00033.2011. [DOI] [PubMed] [Google Scholar]
- 24.McLaughlin T., Craig C., Liu L.F., Perelman D., Allister C., Spielman D., Cushman S.W. Adipose cell size and regional fat deposition as predictors of metabolic response to overfeeding in insulin resistant and insulin-sensitive humans. Diabetes. 2016;65:1245–1254. doi: 10.2337/db15-1213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Birsoy K., Festuccia W.T., Laplante M. A comparative perspective on lipid storage in animals. J. Cell. Sci. 2013;126:1541–1552. doi: 10.1242/jcs.104992. [DOI] [PubMed] [Google Scholar]
- 26.Shen W., Wang Z.M., Punyanita M., Lei J., Sinav A., Kral J.G., Imielinska C., Ross R., Heymsfield S.B. Adipose tissue quantification by imaging methods: A proposed classification. Obes. Res. 2003;11:5–16. doi: 10.1038/oby.2003.3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Bartelt A., Heeren J. Adipose tissue browning and metabolic health. Nat. Rev. Endocrinol. 2014;10:24–36. doi: 10.1038/nrendo.2013.204. [DOI] [PubMed] [Google Scholar]
- 28.Cinti S. The adipose organ at a glance. Dis. Model. Mech. 2012;5:588–594. doi: 10.1242/dmm.009662. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Minchin J.E.N., Rawls J.F. A classification system for zebrafish adipose tissues. Dis. Model. Mech. 2017;10:797–809. doi: 10.1242/dmm.025759. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Chen L., Dai Y.M., Ji C.B., Yang L., Shi C.M., Xu G.F., Pang L.X., Huang F.Y., Zhang C.M., Guo X.R. MiR-146b is a regulator of human visceral preadipocyte proliferation and differentiation and its expression is altered in human obesity. Mol. Cell. Endocrinol. 2014;393:65–74. doi: 10.1016/j.mce.2014.05.022. [DOI] [PubMed] [Google Scholar]
- 31.Long J.Z., Svensson K.J., Tsai L., Zeng X., Roh H.C., Kong X., Rao R.R., Lou J., Lokurkar I., Baur W., et al. A smooth muscle-like origin for beige adipocytes. Cell Metab. 2014;19:810–820. doi: 10.1016/j.cmet.2014.03.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Fehlert E., Wagner R., Ketterer C., Böhm A., Machann J., Fritsche L., Machicao F., Schick F., Staiger H., Stefan N., et al. Genetic determination of body fat distribution and the attributive influence on metabolism. Obesity. 2017;25:1277–1283. doi: 10.1002/oby.21874. [DOI] [PubMed] [Google Scholar]
- 33.Sanchez-Gurmaches J., Guertin D.A. Adipocytes arise from multiple lineages that are heterogeneously and dynamically distributed. Nat. Commun. 2014;5:4099. doi: 10.1038/ncomms5099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Lopes H.F., Corrêa-Giannella M.L., Consolim-Colombo F.M., Egan B.M. Visceral adiposity syndrome. Diabetol. Metab. Syndr. 2016;8:40. doi: 10.1186/s13098-016-0156-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zhang M., Hu T., Zhang S., Zhou L. Associations of different adipose tissue depots with insulin resistance: A systematic review and meta-analysis of observational studies. Sci. Rep. 2015;5:18495. doi: 10.1038/srep18495. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Karpe F., Pinnick K.E. Biology of upper-body and lower-body adipose tissue–link to whole-body phenotypes. Nat. Rev. Endocrinol. 2015;11:90–100. doi: 10.1038/nrendo.2014.185. [DOI] [PubMed] [Google Scholar]
- 37.Porter S.A., Massaro J.M., Hoffmann U., Vasan R.S., O’Donnel C.J., Fox C.S. Abdominal subcutaneous adipose tissue: A protective fat depot? Diabetes Care. 2009;32:1068–1075. doi: 10.2337/dc08-2280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Pellegrinelli V., Carobbio S., Vidal-Puig A. Adipose tissue plasticity: How fat depots respond differently to pathophysiological cues. Diabetologia. 2016;59:1075–1088. doi: 10.1007/s00125-016-3933-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Choe S.S., Huh J.Y., Hwang I.J., Kim J.I., Kim J.B. Adipose Tissue Remodeling: Its Role in Energy Metabolism and Metabolic Disorders. Front. Endocrinol. 2016;7:30. doi: 10.3389/fendo.2016.00030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Chawla A., Nguyen K.D., Goh Y.P. Macrophage-mediated inflammation in metabolic disease. Nat. Rev. Immunol. 2011;11:738–749. doi: 10.1038/nri3071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Huh J.Y., Park Y.J., Ham M., Kim J.B. Crosstalk between adipocytes and immune cells in adipose tissue inflammation and metabolic dysregulation in obesity. Mol. Cells. 2014;37:365–371. doi: 10.14348/molcells.2014.0074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Spalding K.L., Arner E., Westermark P.O., Bernard S., Buchholz B.A., Bergmann O., Blomqvist L., Hoffstedt J., Näslund E., Britton T., et al. Dynamics of fat cell turnover in humans. Nature. 2008;453:783–787. doi: 10.1038/nature06902. [DOI] [PubMed] [Google Scholar]
- 43.Blüher M. Adipose tissue inflammation: A cause or consequence of obesity-related insulin resistance? Clin. Sci. 2016;130:1603–1614. doi: 10.1042/CS20160005. [DOI] [PubMed] [Google Scholar]
- 44.Wang Q.A., Tao C., Gupta R.K., Scherer P.E. Tracking adipogenesis during white adipose tissue development, expansion and regeneration. Nat. Med. 2013;19:1338–1344. doi: 10.1038/nm.3324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Kim S.M., Lun M., Wang M., Senyo S.E., Guillermier C., Patwari P., Steinhauser M.L. Loss of white adipose hyperplastic potential is associated with enhanced susceptibility to insulin resistance. Cell Metab. 2014;20:1049–1058. doi: 10.1016/j.cmet.2014.10.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Guillermier C., Fazeli P.K., Kim S., Lun M., Zuflacht J.P., Milian J., Lee H., Francois-Saint-Cyr H., Horreard F., Larson D., et al. Imaging mass spectrometry demonstrates age-related decline in human adipose plasticity. JCI Insight. 2017;2:e90349. doi: 10.1172/jci.insight.90349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Wildman R.P., Muntner P., Reynolds K., McGinn A.P., Rajpathak S., Wylie-Rosett J., Sowers M.R. The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering: Prevalence and correlates of 2 phenotypes among the US population (NHANES 1999–2004) Arch. Intern. Med. 2008;168:1617–1624. doi: 10.1001/archinte.168.15.1617. [DOI] [PubMed] [Google Scholar]
- 48.Naukkarinen J., Heinonen S., Hakkarainen A., Lundbom J., Vuolteenaho K., Saarinen L., Hautaniemi S., Rodriguez A., Frühbeck G., Pajunen P., et al. Characterising metabolically healthy obesity in weight-discordant monozygotic twins. Diabetologia. 2014;57:167–176. doi: 10.1007/s00125-013-3066-y. [DOI] [PubMed] [Google Scholar]
- 49.Rey-López J., Rezende L., Pastor-Valero M., Tess B. The prevalence of metabolically healthy obesity: A systematic review and critical evaluation of the definitions used. Obes. Rev. 2014;15:781–790. doi: 10.1111/obr.12198. [DOI] [PubMed] [Google Scholar]
- 50.Blüher M. The distinction of metabolically ‘healthy’ from ‘unhealthy’ obese individuals. Curr. Opin. Lipidol. 2010;21:38–43. doi: 10.1097/MOL.0b013e3283346ccc. [DOI] [PubMed] [Google Scholar]
- 51.Rey-López J.P., de Rezende L.F., de Sá T.H., Stamatakis E. Is the metabolically healthy obesity phenotype an irrelevant artifact for public health? Am. J. Epidemiol. 2015;182:737–741. doi: 10.1093/aje/kwv177. [DOI] [PubMed] [Google Scholar]
- 52.Bell J.A., Kivimaki M., Hamer M. Metabolically healthy obesity and risk of incident type 2 diabetes: A meta-analysis of prospective cohort studies. Obes. Rev. 2014;15:504–515. doi: 10.1111/obr.12157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Du T., Yu X., Zhang J., Sun X. Lipid accumulation product and visceral adiposity index are effective markers for identifying the metabolically obese normal-weight phenotype. Acta Diabetol. 2015;52:855–863. doi: 10.1007/s00592-015-0715-2. [DOI] [PubMed] [Google Scholar]
- 54.Yoo H.J., Hwang S.Y., Hong H.C., Choi H.Y., Seo J.A., Kim S.G., Kim N.H., Choi D.S., Baik S.H., Choi K.M. Association of metabolically abnormal but normal weight (MANW) and metabolically healthy but obese (MHO) individuals with arterial stiffness and carotid atherosclerosis. Atherosclerosis. 2014;234:218–223. doi: 10.1016/j.atherosclerosis.2014.02.033. [DOI] [PubMed] [Google Scholar]
- 55.Ruderman N.B., Schneider S.H., Berchtold P. The “metabolically- obese”, normal–weight individual. Am. J. Clin. Nutr. 1981;34:1617–1621. doi: 10.1093/ajcn/34.8.1617. [DOI] [PubMed] [Google Scholar]
- 56.Lee S.H., Han K., Yang H.K., Kim H.S., Cho J.H., Kwon H.S., Park Y.M., Cha B.Y., Yoon K.H. A novel criterion for identifying metabolically obese but normal weight individuals using the product of triglycerides and glucose. Nutr. Diabetes. 2015;5:e149. doi: 10.1038/nutd.2014.46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Fang L., Guo F., Zhou L., Stahl R., Grams J. The cell size and distribution of adipocytes from subcutaneous and visceral fat is associated with type 2 diabetes mellitus in humans. Adipocyte. 2015;4:273–279. doi: 10.1080/21623945.2015.1034920. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Cotillard A., Poitou C., Torcivia A., Bouillot J.L., Dietrich A., Kloting N., Grégoire C., Lolmede K., Blüher M., Clément K. Adipocyte size threshold matters: Link with risk of type 2 diabetes and improved insulin resistance after gastric bypass. J. Clin. Endocrinol. Metab. 2014;99:E1466–E1470. doi: 10.1210/jc.2014-1074. [DOI] [PubMed] [Google Scholar]
- 59.Kim J.I., Huh J.Y., Sohn J.H., Choe S.S., Lee Y.S., Lim C.Y., Jo A., Park S.B., Han W., Kim J.B. Lipid-overloaded enlarged adipocytes provoke insulin resistance independent of inflammation. Mol. Cell. Biol. 2015;35:1686–1699. doi: 10.1128/MCB.01321-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Jernas M., Palming J., Sjoholm K., Jennische E., Svensson P.A., Gabrielsson B.G., Levin M., Sjögren A., Rudemo M., Lystig T.C., et al. Separation of human adipocytes by size: Hypertrophic fat cells display distinct gene expression. FASEB J. 2006;20:1540–1542. doi: 10.1096/fj.05-5678fje. [DOI] [PubMed] [Google Scholar]
- 61.Hirosumi J., Tuncman G., Chang L., Gorgun C.Z., Uysal K.T., Maeda K., Karin M., Hotamisligil G.S. A central role for JNK in obesity and insulin resistance. Nature. 2002;420:333–336. doi: 10.1038/nature01137. [DOI] [PubMed] [Google Scholar]
- 62.Mancuso P. The role of adipokines in chronic inflammation. Immunotargets Ther. 2016;5:47–56. doi: 10.2147/ITT.S73223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Rasouli N. Adipose tissue hypoxia and insulin resistance. J. Investig. Med. 2016;64:830–832. doi: 10.1136/jim-2016-000106. [DOI] [PubMed] [Google Scholar]
- 64.Lee Y.S., Kim J.W., Osborne O., Oh D.Y., Sasik R., Schenk S., Chen A., Chung H., Murphy A., Watkins S.M., et al. Increased adipocyte O2 consumption triggers HIF-1alpha, causing inflammation and insulin resistance in obesity. Cell. 2014;157:1339–1352. doi: 10.1016/j.cell.2014.05.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Wueest S., Rapold R.A., Rytka J.M., Schoenle E.J., Konrad D. Basal lipolysis, not the degree of insulin resistance, differentiates large from small isolated adipocytes in high-fat fed mice. Diabetologia. 2009;52:541–546. doi: 10.1007/s00125-008-1223-5. [DOI] [PubMed] [Google Scholar]
- 66.Roberts R., Hodson L., Dennis A.L., Neville M.J., Humphreys S.M., Harnden K.E., Micklem K.J., Frayn K.N. Markers of de novo lipogenesis in adipose tissue: Associations with small adipocytes and insulin sensitivity in humans. Diabetologia. 2009;52:882–890. doi: 10.1007/s00125-009-1300-4. [DOI] [PubMed] [Google Scholar]
- 67.Slawik M., Vidal-Puig A.J. Lipotoxicity, overnutrition and energy metabolism in aging. Ageing Res. Rev. 2006;5:144–164. doi: 10.1016/j.arr.2006.03.004. [DOI] [PubMed] [Google Scholar]
- 68.Haczeyni F., Bell-Anderson K.S., Farrell G.C. Causes and mechanisms of adipocyte enlargement and adipose expansion. Obes. Rev. 2018;19:406–420. doi: 10.1111/obr.12646. [DOI] [PubMed] [Google Scholar]
- 69.Arner E., Westermark P.O., Spalding K.L., Britton T., Ryden M., Frisen J., Bernard S., Arner P. Adipocyte turnover: Relevance to human adipose tissue morphology. Diabetes. 2010;59:105–109. doi: 10.2337/db09-0942. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.McLaughlin T., Lamendola C., Coghlan N., Liu T.C., Lerner K., Sherman A., Cushman S.W. Subcutaneous adipose cell size and distribution: Relationship to insulin resistance and body fat. Obesity. 2014;22:673–680. doi: 10.1002/oby.20209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Gustafson B., Hedjazifar S., Gogg S., Hammarstedt A., Smith U. Insulin resistance and impaired adipogenesis. Trends Endocrinol. Metab. 2015;26:193–200. doi: 10.1016/j.tem.2015.01.006. [DOI] [PubMed] [Google Scholar]
- 72.Ghaben A.L., Scherer P.E. Adipogenesis and metabolic health. Nat. Rev. Mol. Cell Biol. 2019;20:242–258. doi: 10.1038/s41580-018-0093-z. [DOI] [PubMed] [Google Scholar]
- 73.Tang Q.Q., Lane M.D. Adipogenesis: From stem cell to adipocyte. Annu. Rev. Biochem. 2012;81:715–736. doi: 10.1146/annurev-biochem-052110-115718. [DOI] [PubMed] [Google Scholar]
- 74.Rydén M., Uzunel M., Hård J.L., Borgström E., Mold J.E., Arner E., Mejhert N., Andersson D.P., Widlund Y., Hassan M., et al. Transplanted bone marrow-derived cells contribute to human adipogenesis. Cell Metab. 2015;22:408–417. doi: 10.1016/j.cmet.2015.06.011. [DOI] [PubMed] [Google Scholar]
- 75.Farmer S.R. Transcriptional control of adipocyte formation. Cell Metab. 2006;4:263–273. doi: 10.1016/j.cmet.2006.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Rosen E.D., MacDougald O.A. Adipocyte differentiation from the inside out. Nat. Rev. Mol. Cell Biol. 2006;7:885–896. doi: 10.1038/nrm2066. [DOI] [PubMed] [Google Scholar]
- 77.Christodoulides C., Lagathu C., Sethi J.K., Vidal-Puig A. Adipogenesis and WNT signalling. Trends Endocrinol. Metab. 2009;20:16–24. doi: 10.1016/j.tem.2008.09.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Ross S.E., Hemati N., Longo K.A., Bennett C.N., Lucas P.C., Erickson R.L., MacDougald O.A. Inhibition of adipogenesis by Wnt signaling. Science. 2000;289:950–953. doi: 10.1126/science.289.5481.950. [DOI] [PubMed] [Google Scholar]
- 79.Grünberg J.R., Hammarstedt A., Hedjazifar S., Smith U. The novel secreted adipokines WNT1-inducible signaling pathway protein 2 (WISP2) is a mesenchymal cell activator of canonical WNT. J. Biol. Chem. 2014;289:6899–6907. doi: 10.1074/jbc.M113.511964. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Gustafson B., Smith U. The WNT inhibitor Dickkopf 1 and bone morphogenetic protein 4 rescue adipogenesis in hypertrophic obesity in humans. Diabetes. 2012;61:1217–1224. doi: 10.2337/db11-1419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Huang H., Song T.J., Li X., Hu L., He Q., Liu M., Lane M.D., Tang Q.Q. BMP signaling pathway is required for commitment of C3H10T1/2 pluripotent stem cells to the adipocyte lineage. Proc. Natl. Acad. Sci. USA. 2009;106:12670–12675. doi: 10.1073/pnas.0906266106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Gustafson B., Hammarstedt A., Hedjazifar S., Hoffmann J.M., Svensson P.A., Grimsby J., Rondinone C., Smith U. BMP4 and BMP antagonists regulate human white and beige adipogenesis. Diabetes. 2015;64:1670–1681. doi: 10.2337/db14-1127. [DOI] [PubMed] [Google Scholar]
- 83.Hammarstedt A., Hedjazifar S., Jenndahl L., Gogg S., Grünberg J., Gustafson B., Klimcakova E., Stich V., Langin D., Laakso M., et al. WISP2 regulates preadipocyte commitment and PPARgamma activation by BMP4. Proc. Natl. Acad. Sci. USA. 2013;110:2563–2568. doi: 10.1073/pnas.1211255110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Hammarstedt A., Gogg S., Hedjazifar S., Nerstedt A., Smith U. Impaired Adipogenesis and Dysfunctional Adipose Tissue in Human Hypertrophic Obesity. Physiol. Rev. 2018;98:1911–1941. doi: 10.1152/physrev.00034.2017. [DOI] [PubMed] [Google Scholar]
- 85.Grünberg J.R., Hoffmann J.M., Hedjazifar S., Nerstedt A., Jenndahl L., Elvin J., Castellot J., Wei L., Movérare-Skrtic S., Ohlsson C., et al. Overexpressing the novel autocrine/endocrine adipokine WISP2 induces hyperplasia of the heart, white and brown adipose tissues and prevents insulin resistance. Sci. Rep. 2017;7:43515. doi: 10.1038/srep43515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Gupta R.K., Arany Z., Seale P., Mepani R.J., Ye L., Conroe H.M., Roby Y.A., Kulaga H., Reed R.R., Spiegelman B.M. Transcriptional control of preadipocyte determination by Zfp423. Nature. 2010;464:619–623. doi: 10.1038/nature08816. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Shao M., Ishibashi J., Kusminski C.M., Wang Q.A., Hepler C., Vishvanath L., MacPherson K.A., Spurgin S.B., Sun K., Holland W.L., et al. Zfp423 maintains white adipocyte identity through suppression of the beige cell thermogenic gene program. Cell Metab. 2016;23:1167–1184. doi: 10.1016/j.cmet.2016.04.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Longo M., Raciti G.A., Zatterale F., Parrillo L., Desiderio A., Spinelli R., Hammarstedt A., Hedjazifar S., Hoffmann J.M., Nigro C., et al. Epigenetic modifications of the Zfp/ZNF423 gene control murine adipogenic commitment and are dysregulated in human hypertrophic obesity. Diabetologia. 2018;61:369–380. doi: 10.1007/s00125-017-4471-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Lefterova M.I., Zhang Y., Steger D.J., Schupp M., Schug J., Cristancho A., Feng D., Zhuo D., Stoeckert C.J., Jr., Liu X.S., et al. PPARγ and C/EBP factors orchestrate adipocyte biology via adjacent binding on a genome- wide scale. Genes Dev. 2008;22:2941–2952. doi: 10.1101/gad.1709008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Yamauchi T., Kamon J., Waki H., Murakami K., Motojima K., Komeda K., Ide T., Kubota N., Terauchi Y., Tobe K., et al. The mechanisms by which both heterozygous peroxisome proliferator-activated receptor gamma (PPARgamma) deficiency and PPARgamma agonist improve insulin resistance. J. Biol. Chem. 2001;276:41245–41254. doi: 10.1074/jbc.M103241200. [DOI] [PubMed] [Google Scholar]
- 91.Corrales P., Vidal-Puig A., Medina-Gómez G. PPARs and Metabolic Disorders Associated with Challenged Adipose Tissue Plasticity. Int. J. Mol. Sci. 2018;19:2124. doi: 10.3390/ijms19072124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Majithia A.R., Flannick J., Shahinian P., Guo M., Bray M.A., Fontanillas P., Gabriel S.B., Rosen E.D., Altshuler D., GoT2D Consortium et al. Rare variants in PPARG with decreased activity in adipocyte differentiation are associated with increased risk of type 2 diabetes. Proc. Natl. Acad Sci. USA. 2014;111:13127–13132. doi: 10.1073/pnas.1410428111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Aprile M., Cataldi S., Ambrosio M.R., D’Esposito V., Lim K., Dietrich A., Bluher M., Savage D.B., Formisano P., Ciccodicola A., et al. PPARgD5, a naturally occurring dominant-negative splice isoform, impairs PPARg function and adipocyte differentiation. Cell Rep. 2018;25:1577–1592.e6. doi: 10.1016/j.celrep.2018.10.035. [DOI] [PubMed] [Google Scholar]
- 94.Lumeng C.N., Saltiel A.R. Inflammatory links between obesity and metabolic disease. J. Clin. Investig. 2011;121:2111–2117. doi: 10.1172/JCI57132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Hotamisligil G.S., Shargill N.S., Spiegelman B.M. Adipose expression of tumor necrosis factor-alpha: Direct role in obesity-linked insulin resistance. Science. 1993;259:87–91. doi: 10.1126/science.7678183. [DOI] [PubMed] [Google Scholar]
- 96.Ivanov S., Merlin J., Lee M.K.S., Murphy A.J., Guinamard R.R. Biology and function of adipose tissue macrophages, dendritic cells and B cells. Atherosclerosis. 2018;71:102–110. doi: 10.1016/j.atherosclerosis.2018.01.018. [DOI] [PubMed] [Google Scholar]
- 97.Miller N.E., Michel C.C., Nanjee M.N., Olszewski W.L., Miller I.P., Hazell M., Olivecrona G., Sutton P., Humphreys S.M., Frayn K.N. Secretion of adipokines by human adipose tissue in vivo: Partitioning between capillary and lymphatic transport. Am. J. Physiol. Endocrinol. Metab. 2011;301:E659–E667. doi: 10.1152/ajpendo.00058.2011. [DOI] [PubMed] [Google Scholar]
- 98.Boumelhem B.B., Assinder S.J., Bell-Anderson K.S., Fraser S.T. Flow cytometric single cell analysis reveals heterogeneity between adipose depots. Adipocyte. 2017;3:112–123. doi: 10.1080/21623945.2017.1319536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Alcalá M., Calderon-Dominguez M., Bustos E., Ramos P., Casals N., Serra D., Viana M., Herrero L. Increased inflammation, oxidative stress and mitochondrial respiration in brown adipose tissue from obese mice. Sci. Rep. 2017;7:16082. doi: 10.1038/s41598-017-16463-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Lawler H.M., Underkofler C.M., Kern P.A., Erickson C., Bredbeck B., Rasouli N. Adipose Tissue Hypoxia, Inflammation, and Fibrosis in Obese Insulin-Sensitive and Obese Insulin-Resistant Subjects. J. Clin. Endocrinol. Metab. 2016;101:1422–1428. doi: 10.1210/jc.2015-4125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Schmitz J., Evers N., Awazawa M., Nicholls H.T., Brönneke H.S., Dietrich A.M.J., Blüher M., Brüning J.C. Obesogenic memory can confer long-term increases in adipose tissue but not liver inflammation and insulin resistance after weight loss. Mol. Metab. 2016;5:328–339. doi: 10.1016/j.molmet.2015.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Henninger A.M., Eliasson B., Jenndahl L.E., Hammarstedt A. Adipocyte hypertrophy, inflammation and fibrosis characterize subcutaneous adipose tissue of healthy, non-obese subjects predisposed to type 2 diabetes. PLoS ONE. 2014;9:e105262. doi: 10.1371/journal.pone.0105262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Weisberg S.P., McCann D., Desai M., Rosenbaum M., Leibel R.L., Ferrante A.W., Jr. Obesity is associated with macrophage accumulation in adipose tissue. J. Clin. Investig. 2003;112:1796–1808. doi: 10.1172/JCI200319246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Castoldi A., Naffah de Souza C., Câmara N.O., Moraes-Vieira P.M. The Macrophage Switch in Obesity Development. Front. Immunol. 2016;6:637. doi: 10.3389/fimmu.2015.00637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Lumeng C.N., Bodzin J.L., Saltiel A.R. Obesity induces a phenotypic switch in adipose tissue macrophage polarization. J. Clin. Investig. 2007;117:175–184. doi: 10.1172/JCI29881. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Boulenouar S., Michelet X., Duquette D., Alvarez D., Hogan A.E., Dold C., O’Connor D., Stutte S., Tavakkoli A., Winters D., et al. Adipose Type One Innate Lymphoid Cells Regulate Macrophage Homeostasis through Targeted Cytotoxicity. Immunity. 2017;46:273–286. doi: 10.1016/j.immuni.2017.01.008. [DOI] [PubMed] [Google Scholar]
- 107.Wensveen F.M., Jelenčić V., Valentić S., Šestan M., Wensveen T.T., Theurich S., Glasner A., Mendrila D., Štimac D., Wunderlich F.T., et al. NK cells link obesity-induced adipose stress to inflammation and insulin resistance. Nat. Immunol. 2015;16:376–385. doi: 10.1038/ni.3120. [DOI] [PubMed] [Google Scholar]
- 108.Cinti S., Mitchell G., Barbatelli G., Murano I., Ceresi E., Faloia E., Wang S., Fortier M., Greenberg A.S., Obin M.S. Adipocyte death defines macrophage localization and function in adipose tissue of obese mice and humans. J. Lipid. Res. 2005;46:2347–2355. doi: 10.1194/jlr.M500294-JLR200. [DOI] [PubMed] [Google Scholar]
- 109.Haase J., Weyer U., Immig K., Klöting N., Blüher M., Eilers J., Bechmann I., Gericke M. Local proliferation of macrophages in adipose tissue during obesity-induced inflammation. Diabetologia. 2014;57:562–571. doi: 10.1007/s00125-013-3139-y. [DOI] [PubMed] [Google Scholar]
- 110.Cohen P., Levy J.D., Zhang Y., Frontini A., Kolodin D.P., Svensson K.J., Lo J.C., Zeng X.Y.L., Khandekar M.J., Wu J., et al. Ablation of PRDM16 and beige adipose causes metabolic dysfunction and a subcutaneous to visceral fat switch. Cell. 2014;156:304–316. doi: 10.1016/j.cell.2013.12.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Pasarica M., Sereda O.R., Redman L.M., Albarado D.C., Hymel D.T., Roan L.E., Rood J.C., Burk D.H., Smith S.R. Reduced Adipose Tissue Oxygenation in Human Obesity. Evidence for Rarefaction, Macrophage Chemotaxis, and Inflammation Without an Angiogenic Response. Diabetes. 2009;58:718–725. doi: 10.2337/db08-1098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Elson D.A., Thurston G., Huang L.E., Ginzinger D.G., McDonald D.M., Johnson R.S., Arbeit J.M. Induction of hypervascularity without leakage or inflammation in transgenic mice overexpressing hypoxia-inducible factor-1α. Genes. Dev. 2001;15:2520–2532. doi: 10.1101/gad.914801. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Wang B., Wood I.S., Trayhurn P. Dysregulation of the expression and secretion of inflammation-related adipokines by hypoxia in human adipocytes. Pflugers. Arch. 2007;455:479–492. doi: 10.1007/s00424-007-0301-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Choe S.S., Shin K.C., Ka S., Lee Y.K., Chun J.S., Kim J.B. Macrophage HIF-2α ameliorates adipose tissue inflammation and insulin resistance in obesity. Diabetes. 2014;63:3359–3371. doi: 10.2337/db13-1965. [DOI] [PubMed] [Google Scholar]
- 115.Berger J.J., Barnard R.J. Effect of diet on fat cell size and hormone-sensitive lipase activity. J. Appl. Physiol. 1999;87:227–232. doi: 10.1152/jappl.1999.87.1.227. [DOI] [PubMed] [Google Scholar]
- 116.Nguyen M.T., Favelyukis S., Nguyen A.K., Reichart D., Scott P.A., Jenn A., Liu-Bryan R., Glass C.K., Neels J.G., Olefsky J.M. A subpopulation of macrophages infiltrates hypertrophic adipose tissue and is activated by free fatty acids via Toll-like receptors 2 and 4 and JNK-dependent pathways. J. Biol. Chem. 2007;282:35279–35292. doi: 10.1074/jbc.M706762200. [DOI] [PubMed] [Google Scholar]
- 117.Shoelson S.E., Lee J., Goldfine A.B. Inflammation and insulin resistance. J. Clin. Investig. 2006;116:1793–1801. doi: 10.1172/JCI29069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Aguirre V., Werner E.D., Giraud J., Lee Y.H., Shoelson S.E., White M.F. Phosphorylation of Ser307 in insulin receptor substrate-1 blocks interactions with the insulin receptor and inhibits insulin action. J. Biol. Chem. 2002;277:1531–1537. doi: 10.1074/jbc.M101521200. [DOI] [PubMed] [Google Scholar]
- 119.Yan H., Gao Y., Zhang Y. Inhibition of JNK suppresses autophagy and attenuates insulin resistance in a rat model of nonalcoholic fatty liver disease. Mol. Med. Rep. 2017;15:180–186. doi: 10.3892/mmr.2016.5966. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Park M.H., Hong J.T. Roles of NF-κB in Cancer and Inflammatory Diseases and Their Therapeutic Approaches. Cells. 2016;5:15. doi: 10.3390/cells5020015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Panahi G., Pasalar P., Zare M., Rizzuto R., Meshkani R. High glucose induces inflammatory responses in HepG2 cells via the oxidative stress-mediated activation of NF-κB, and MAPK pathways in HepG2 cells. Arch. Physiol. Biochem. 2018;124:468–474. doi: 10.1080/13813455.2018.1427764. [DOI] [PubMed] [Google Scholar]
- 122.Yekollu S.K., Thomas R., O’Sullivan B. Targeting curcusomes to inflammatory dendritic cells inhibits NF-κB and improves insulin resistance in obese mice. Diabetes. 2011;60:2928–2938. doi: 10.2337/db11-0275. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Zhang N., Valentine J.M., Zhou Y., Li M.E., Zhang Y., Bhattacharya A., Walsh M.E., Fischer K.E., Austad S.N., Osmulski P., et al. Sustained NFκB inhibition improves insulin sensitivity but is detrimental to muscle health. Aging Cell. 2017;16:847–858. doi: 10.1111/acel.12613. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Hotamisligil G.S. Endoplasmic reticulum stress and the inflammatory basis of metabolic disease. Cell. 2010;140:900–917. doi: 10.1016/j.cell.2010.02.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Ozcan U., Yilmaz E., Ozcan L., Furuhashi M., Vaillancourt E., Smith R.O., Görgün C.Z., Hotamisligil G.S. Chemical chaperones reduce ER stress and restore glucose homeostasis in a mouse model of type 2 diabetes. Science. 2006;313:1137–1140. doi: 10.1126/science.1128294. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Longo M., Spinelli R., D’Esposito V., Zatterale F., Fiory F., Nigro C., Raciti G.A., Miele C., Formisano P., Beguinot F., et al. Pathologic endoplasmic reticulum stress induced by glucotoxic insults inhibits adipocyte differentiation and induces an inflammatory phenotype. Biochim. Biophys. Acta. 2016;1863:1146–1156. doi: 10.1016/j.bbamcr.2016.02.019. [DOI] [PubMed] [Google Scholar]
- 127.Gustafson B., Smith U. Cytokines promote Wnt signaling and inflammation and impair the normal differentiation and lipid accumulation in 3T3-L1 preadipocytes. J. Biol. Chem. 2006;281:9507–9516. doi: 10.1074/jbc.M512077200. [DOI] [PubMed] [Google Scholar]
- 128.Samad F., Yamamoto K., Pandey M., Loskutoff D.J. Elevated expression of transforming growth factor-beta in adipose tissue from obese mice. Mol. Med. 1997;3:37–48. doi: 10.1007/BF03401666. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Spalding K.L., Bernard S., Näslund E., Salehpour M., Possnert G., Appelsved L., Fu K.Y., Alkass K., Druid H., Thorell A., et al. Impact of fat mass and distribution on lipid turnover in human adipose tissue. Nat. Commun. 2017;8:15253. doi: 10.1038/ncomms15253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Serra M.C., Ryan A.S., Goldberg A.P. Reduced LPL and subcutaneous lipid storage capacity are associated with metabolic syndrome in postmenopausal women with obesity. Obes. Sci. Pract. 2017;3:106–114. doi: 10.1002/osp4.86. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Muir L.A., Neeley C.K., Meyer K.A., Baker N.A., Brosius A.M., Washabaugh A.R., Varban O.A., Finks J.F., Zamarron B.F., Flesher C.G., et al. Adipose tissue fibrosis, hypertrophy, and hyperplasia: Correlations with diabetes in human obesity. Obesity. 2016;24:597–605. doi: 10.1002/oby.21377. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Goossens G.H. The Metabolic Phenotype in Obesity: Fat Mass, Body Fat Distribution, and Adipose Tissue Function. Obes. Facts. 2017;10:207–215. doi: 10.1159/000471488. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Cornier M.A., Després J.P., Davis N., Grossniklaus D.A., Klein S., Lamarche B., Lopez-Jimenez F., Rao G., St-Onge M.P., Towfighi A., et al. Assessing adiposity: A scientific statement from the American Heart Association. Circulation. 2011;124:1996–2019. doi: 10.1161/CIR.0b013e318233bc6a. [DOI] [PubMed] [Google Scholar]
- 134.Mollard R.C., Senechal M., MacIntosh A.C., Hay J., Wicklow B.A., Wittmeier K.D., Sellers E.A., Dean H.J., Ryner L., Berard L., et al. Dietary determinants of hepatic steatosis and visceral adiposity in overweight and obese youth at risk of type 2 diabetes. Am. J. Clin. Nutr. 2014;99:804–812. doi: 10.3945/ajcn.113.079277. [DOI] [PubMed] [Google Scholar]
- 135.Perfilyev A., Dahlman I., Gillberg L., Rosqvist F., Iggman D., Volkov P., Nilsson E., Risérus U., Ling C. Impact of polyunsaturated and saturated fat overfeeding on the DNA-methylation pattern in human adipose tissue: A randomized controlled trial. Am. J. Clin. Nutr. 2017;105:991–1000. doi: 10.3945/ajcn.116.143164. [DOI] [PubMed] [Google Scholar]
- 136.Haufe S., Engeli S., Kast P., Böhnke J., Utz W., Haas V., Hermsdorf M., Mähler A., Wiesner S., Birkenfeld A.L., et al. Randomised comparison of reduced fat and reduced carbohydrate hypocaloric diets on intrahepatic fat in overweight and obese human subjects. Hepatology. 2011;53:1504–1514. doi: 10.1002/hep.24242. [DOI] [PubMed] [Google Scholar]
- 137.Parry S.A., Hodson L.J. Influence of dietary macronutrients on liver fat accumulation and metabolism. Investig. Med. 2017;65:1102–1115. doi: 10.1136/jim-2017-000524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Gealekman O., Guseva N., Hartigan C., Apotheker S., Gorgoglione M., Gurav K., Tran K.V., Straubhaar J., Nicoloro S., Czech M.P., et al. Depot-specific differences and insufficient subcutaneous adipose tissue angiogenesis in human obesity. Circulation. 2011;123:186–194. doi: 10.1161/CIRCULATIONAHA.110.970145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Britton K.A., Fox C.S. Ectopic fat depots and cardiovascular disease. Circulation. 2011;124:e837–e841. doi: 10.1161/CIRCULATIONAHA.111.077602. [DOI] [PubMed] [Google Scholar]
- 140.Nguyen P., Leray V., Diez M., Serisier S., Le Bloc’h J., Siliart B., Dumon H. Liver lipid metabolism. J. Anim. Physiol. Anim. Nutr. 2008;92:272–283. doi: 10.1111/j.1439-0396.2007.00752.x. [DOI] [PubMed] [Google Scholar]
- 141.Yaligar J., Gopalan V., Kiat O.W., Sugii S., Shui G., Lam B.D., Henry C.J., Wenk M.R., Tai E.S., Velan S.S. Evaluation of dietary effects on hepatic lipids in high fat and placebo diet fed rats by in vivo MRS and LC-MS techniques. PLoS ONE. 2014;9:e91436. doi: 10.1371/journal.pone.0091436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Younossi Z.M., Koenig A.B., Abdelatif D., Fazel Y., Henry L., Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology. 2016;64:73–84. doi: 10.1002/hep.28431. [DOI] [PubMed] [Google Scholar]
- 143.Koska J., Stefan N., Permana P.A., Weyer C., Sonoda M., Bogardus C., Smith S.R., Joanisse D.R., Funahashi T., Krakoff J., et al. Increased fat accumulation in liver may link insulin resistance with subcutaneous abdominal adipocyte enlargement, visceral adiposity, and hypoadiponectinemia in obese individuals. Am. J. Clin. Nutr. 2008;87:295–302. doi: 10.1093/ajcn/87.2.295. [DOI] [PubMed] [Google Scholar]
- 144.Kabir M., Catalano K.J., Ananthnarayan S., Kim S.P., Van Citters G.W., Dea M.K., Bergman R.N. Molecular evidence supporting the portal theory: A causative link between visceral adiposity and hepatic insulin resistance. Am. J. Physiol. Endocrinol. Metab. 2005;288:E454–E461. doi: 10.1152/ajpendo.00203.2004. [DOI] [PubMed] [Google Scholar]
- 145.Carr R.M., Peralta G., Yin X., Ahima R.S. Absence of perilipin 2 prevents hepatic steatosis, glucose intolerance and ceramide accumulation in alcohol-fed mice. PLoS ONE. 2014;9:e97118. doi: 10.1371/journal.pone.0097118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Gassaway B.M., Petersen M.C., Surovtseva Y.V., Barber K.W., Sheetz J.B., Aerni H.R., Merkel J.S., Samuel V.T., Shulman G.I., Rinehart J. PKCε contributes to lipid-induced insulin resistance through cross talk with p70S6K and through previously unknown regulators of insulin signaling. Proc. Natl. Acad. Sci. USA. 2018;115:E8996–E9005. doi: 10.1073/pnas.1804379115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Perry R.J., Samuel V.T., Petersen K.F., Shulman G.I. The role of hepatic lipids in hepatic insulin resistance and type 2 diabetes. Nature. 2014;510:84–91. doi: 10.1038/nature13478. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148.Xia J., Holland W.L., Kusminski C.M., Sun K., Sharma A.X., Pearson M.J., Sifuentes A.J., McDonald J.G., Gordillo R., Scherer P.E. Targeted Induction of Ceramide Degradation Leads to Improved Systemic Metabolism and Reduced Hepatic Steatosis. Cell Metab. 2015;22:266–278. doi: 10.1016/j.cmet.2015.06.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149.Petersen M.C., Shulman G.I. Roles of Diacylglycerols and Ceramides in Hepatic Insulin Resistance. Trends Pharmacol. Sci. 2017;38:649–665. doi: 10.1016/j.tips.2017.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Samuel V.T., Liu Z.X., Wang A., Beddow S.A., Geisler J.G., Kahn M., Zhang X.M., Monia B.P., Bhanot S., Shulman G.I. Inhibition of protein kinase Cepsilon prevents hepatic insulin resistance in nonalcoholic fatty liver disease. J. Clin. Investig. 2007;117:739–745. doi: 10.1172/JCI30400. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Liu L., Mei M., Yang S., Li Q. Roles of chronic low-grade inflammation in the development of ectopic fat deposition. Mediators Inflamm. 2014;2014:418185. doi: 10.1155/2014/418185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Jin Y., McFie P.J., Banman S.L., Brandt C., Stone S.J. Diacylglycerol acyltransferase-2 (DGAT2) and monoacylglycerol acyltransferase-2 (MGAT2) interact to promote triacylglycerol synthesis. J. Biol. Chem. 2014;289:28237–28248. doi: 10.1074/jbc.M114.571190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Jornayvaz F.R., Birkenfeld A.L., Jurczak M.J., Kanda S., Guigni B.A., Jiang D.C., Zhang D., Lee H.Y., Samuel V.T., Shulman G.I. Hepatic insulin resistance in mice with hepatic overexpression of diacylglycerol acyltransferase 2. Proc. Natl. Acad. Sci. USA. 2011;108:5748–5752. doi: 10.1073/pnas.1103451108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Choi C.S., Befroy D.E., Codella R., Kim S., Reznick R.M., Hwang Y.J., Liu Z.X., Lee H.Y., Distefano A., Samuel V.T., et al. Paradoxical effects of increased expression of PGC-1alpha on muscle mitochondrial function and insulin-stimulated muscle glucose metabolism. Proc. Natl. Acad. Sci. USA. 2008;105:19926–19931. doi: 10.1073/pnas.0810339105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Brøns C., Grunnet L.G. MECHANISMS IN ENDOCRINOLOGY: Skeletal muscle lipotoxicity in insulin resistance and type 2 diabetes: A causal mechanism or an innocent bystander? Eur. J. Endocrinol. 2017;176:R67–R78. doi: 10.1530/EJE-16-0488. [DOI] [PubMed] [Google Scholar]
- 156.Itani S.I., Zhou Q., Pories W.J., MacDonald K.G., Dohm G.L. Involvement of protein kinase C in human skeletal muscle insulin resistance and obesity. Diabetes. 2000;49:1353–1358. doi: 10.2337/diabetes.49.8.1353. [DOI] [PubMed] [Google Scholar]
- 157.Szendroedi J., Yoshimura T., Phielix E., Koliaki C., Marcucci M., Zhang D., Jelenik T., Müller J., Herder C., Nowotny P., et al. Role of diacylglycerol activation of PKCθ in lipid-induced muscle insulin resistance in humans. Proc. Natl. Acad. Sci. USA. 2014;111:9597–9602. doi: 10.1073/pnas.1409229111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.Wang H., Knaub L.A., Jensen D.R., Young Jung D., Hong E.G., Ko H.J., Coates A.M., Goldberg I.J., de la Houssaye B.A., Janssen R.C., et al. Skeletal muscle-specific deletion of lipoprotein lipase enhances insulin signaling in skeletal muscle but causes insulin resistance in liver and other tissues. Diabetes. 2009;58:116–124. doi: 10.2337/db07-1839. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Goodpaster B.H., He J., Watkins S., Kelley D.E. Skeletal muscle lipid content and insulin resistance: Evidence for a paradox in endurance-trained athletes. J. Clin. Endocrinol. Metab. 2001;86:5755–5761. doi: 10.1210/jcem.86.12.8075. [DOI] [PubMed] [Google Scholar]
- 160.Dubé J.J., Amati F., Stefanovic-Racic M., Toledo F.G., Sauers S.E., Goodpaster B.H. Exercise-induced alterations in intramyocellular lipids and insulin resistance: The athlete’s paradox revisited. Am. J. Physiol. Endocrinol. Metab. 2008;294:E882–E888. doi: 10.1152/ajpendo.00769.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161.Daemen S., van Polanen N., Hesselink M.K.C. The effect of diet and exercise on lipid droplet dynamics in human muscle tissue. J. Exp. Biol. 2018;221:jeb167015. doi: 10.1242/jeb.167015. [DOI] [PubMed] [Google Scholar]
- 162.Sharma S., Adrogue J.V., Golfman L., Uray I., Lemm J., Youker K., Noon G.P., Frazier O.H., Taegtmeyer H. Intramyocardial lipid accumulation in the failing human heart resembles the lipotoxic rat heart. FASEB J. 2004;18:1692–1700. doi: 10.1096/fj.04-2263com. [DOI] [PubMed] [Google Scholar]
- 163.Schulze P.C., Drosatos K., Goldberg I.J. Lipid Use and Misuse by the Heart. Circ. Res. 2016;118:1736–1751. doi: 10.1161/CIRCRESAHA.116.306842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164.Lopaschuk G.D., Folmes C.D., Stanley W.C. Cardiac energy metabolism in obesity. Circ. Res. 2007;101:335–347. doi: 10.1161/CIRCRESAHA.107.150417. [DOI] [PubMed] [Google Scholar]
- 165.Ji R., Akashi H., Drosatos K., Liao X., Jiang H., Kennel P.J., Brunjes D.L., Castillero E., Zhang X., Deng L.Y., et al. Increased de novo ceramide synthesis and accumulation in failing myocardium. JCI Insight. 2017;2:e82922. doi: 10.1172/jci.insight.82922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 166.Warfel J.D., Bermudez E.M., Mendoza T.M., Ghosh S., Zhang J., Elks C.M., Mynatt R., Vandanmagsar B. Mitochondrial fat oxidation is essential for lipid-induced inflammation in skeletal muscle in mice. Sci. Rep. 2016;6:37941. doi: 10.1038/srep37941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167.Mori J., Patel V.B., Abo Alrob O., Basu R., Altamimi T., Desaulniers J., Wagg C.S., Kassiri Z., Lopaschuk G.D., Oudit G.Y. Angiotensin 1-7 ameliorates diabetic cardiomyopathy and diastolic dysfunction in db/db mice by reducing lipotoxicity and inflammation. Circ. Heart. Fail. 2014;7:327–339. doi: 10.1161/CIRCHEARTFAILURE.113.000672. [DOI] [PubMed] [Google Scholar]
- 168.Reali F., Morine M.J., Kahramanoğulları O., Raichur S., Schneider H.C., Crowther D., Priami C. Mechanistic interplay between ceramide and insulin resistance. Sci. Rep. 2017;7:41231. doi: 10.1038/srep41231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169.Iozzo P. Myocardial, perivascular, and epicardial fat. Diabetes Care. 2011;34:S371–S379. doi: 10.2337/dc11-s250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170.Greulich S., Maxhera B., Vandenplas G., de Wiza D.H., Smiris K., Mueller H., Heinrichs J., Blumensatt M., Cuvelier C., Akhyari P., et al. Secretory products from epicardial adipose tissue of patients with type 2 diabetes mellitus induce cardiomyocyte dysfunction. Circulation. 2012;126:2324–2334. doi: 10.1161/CIRCULATIONAHA.111.039586. [DOI] [PubMed] [Google Scholar]
- 171.Koliaki C., Liatis S., Kokkinos A. Obesity and cardiovascular disease: Revisiting an old relationship. Metabolism. 2019;92:98–107. doi: 10.1016/j.metabol.2018.10.011. [DOI] [PubMed] [Google Scholar]
- 172.Costa R.M., Neves K.B., Tostes R.C., Lobato N.S. Perivascular Adipose Tissue as a Relevant Fat Depot for Cardiovascular Risk in Obesity. Front. Physiol. 2018;9:253. doi: 10.3389/fphys.2018.00253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173.Xia N., Weisenburger S., Koch E., Burkart M., Reifenberg G., Förstermann U., Li H. Restoration of perivascular adipose tissue function in diet-induced obese mice without changing bodyweight. Br. J. Pharmacol. 2017;174:3443–3453. doi: 10.1111/bph.13703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174.Murai T., Takebe N., Nagasawa K., Todate Y., Nakagawa R., Nakano R., Hangai M., Hasegawa Y., Takahashi Y., Yoshioka K., et al. Association of epicardial adipose tissue with serum level of cystatin C in type 2 diabetes. PLoS ONE. 2017;12:e0184723. doi: 10.1371/journal.pone.0184723. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175.Gaborit B., Venteclef N., Ancel P., Pelloux V., Gariboldi V., Leprince P., Amour J., Hatem S.N., Jouve E., Dutour A., et al. Human epicardial adipose tissue has a specific transcriptomic signature depending on its anatomical peri-atrial, peri-ventricular, or peri-coronary location. Cardiovasc. Res. 2015;108:62–73. doi: 10.1093/cvr/cvv208. [DOI] [PubMed] [Google Scholar]
- 176.Lambadiari V., Kadoglou N.P., Stasinos V., Maratou E., Antoniadis A., Kolokathis F., Parissis J., Hatziagelaki E., Iliodromitis E.K., Dimitriadis G. Serum levels of retinol-binding protein-4 are associated with the presence and severity of coronary artery disease. Cardiovasc. Diabetol. 2014;13:121. doi: 10.1186/s12933-014-0121-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177.Soucek F., Covassin N., Singh P., Ruzek L., Kara T., Suleiman M., Lerman A., Koestler C., Friedman P.A., Lopez-Jimenez F., et al. Effects of Atorvastatin (80 mg) Theray on Quantity of Epicardial Adipose Tissue in Patients Undergoing Pulmonary Vein Isolation for Atrial Fibrillation. Am. J. Cardiol. 2015;116:1443–1446. doi: 10.1016/j.amjcard.2015.07.067. [DOI] [PMC free article] [PubMed] [Google Scholar]