Mediators of Inflammation

Mediators of Inflammation / 2010 / Article
Special Issue

Mediators of Inflammation in Obesity and Its Co-Morbidities

View this Special Issue

Review Article | Open Access

Volume 2010 |Article ID 289645 |

Rosário Monteiro, Isabel Azevedo, "Chronic Inflammation in Obesity and the Metabolic Syndrome", Mediators of Inflammation, vol. 2010, Article ID 289645, 10 pages, 2010.

Chronic Inflammation in Obesity and the Metabolic Syndrome

Academic Editor: Gema Frühbeck
Received28 Dec 2009
Accepted17 Jun 2010
Published14 Jul 2010


The increasing incidence of obesity and the metabolic syndrome is disturbing. The activation of inflammatory pathways, used normally as host defence, reminds the seriousness of this condition. There is probably more than one cause for activation of inflammation. Apparently, metabolic overload evokes stress reactions, such as oxidative, inflammatory, organelle and cell hypertrophy, generating vicious cycles. Adipocyte hypertrophy, through physical reasons, facilitates cell rupture, what will evoke an inflammatory reaction. Inability of adipose tissue development to engulf incoming fat leads to deposition in other organs, mainly in the liver, with consequences on insulin resistance. The oxidative stress which accompanies feeding, particularly when there is excessive ingestion of fat and/or other macronutrients without concomitant ingestion of antioxidant-rich foods/beverages, may contribute to inflammation attributed to obesity. Moreover, data on the interaction of microbiota with food and obesity brought new hypothesis for the obesity/fat diet relationship with inflammation. Beyond these, other phenomena, for instance psychological and/or circadian rhythm disturbances, may likewise contribute to oxidative/inflammatory status. The difficulty in the management of obesity/metabolic syndrome is linked to their multifactorial nature where environmental, genetic and psychosocial factors interact through complex networks.

1. Obesity and the Metabolic Syndrome

The incidence of the metabolic syndrome is high and increasing. Metabolic syndrome refers to a constellation of disturbances including glucose intolerance, central obesity, dyslipidemia (hypertriglyceridemia, elevated nonesterified fatty acids (NEFAs), and decreased high-density lipoprotein (HDL) cholesterol), and hypertension [1]. It can present in several forms, according to the combination of the different components of the syndrome, and it is well established that it increases the risk for the development of cardiovascular disease, type 2 diabetes, and cancer [24]. However, it is not yet clarified how it begins and how the different components are causally connected among them. Different study groups have drawn special attention to one or another component. For example, the American Association of Endocrinology does not consider obesity as a component and highlights the importance of insulin resistance to the syndrome [5]. As a matter of fact, obesity and the metabolic syndrome do not completely overlap, evidence being now clear as to the existence of “benign” obesity [610]. In this metabolically healthy obese phenotype plasma concentrations of adiponectin are high, in good agreement with the effect of adiponectin overexpression in ob/ob mice that results in expansion of fat mass and protection against metabolic comorbidities [7]. The initial definition of the World Health Organization considered insulin resistance a key feature of the metabolic syndrome [11, 12], while the more recent National Cholesterol Education Program (NECP):Adult Treatment Panel III (ATP III) definition adds equal weight to any of the components of the syndrome: glucose intolerance, obesity, hypertension, and dyslipidemia [13].

Welsh et al. investigated the causal direction of the relationship between adiposity and inflammation using a bidirectional Mendelian randomization approach and came to the conclusion that greater adiposity conferred by fat mass and obesity-associated gene and melanocortin receptor 4 single nucleotide polymorphisms led to higher C-reactive protein (CRP) levels, with no evidence for any reverse pathway [14]. Although this interesting finding needs to be confirmed and extended to other inflammatory markers, it supports the emphasis we are giving to adipose tissue in metabolic syndrome-associated chronic inflammation [15]. Whatever its origin, be it or not obesity the main initiator, the chronic low-grade inflammatory condition that accompanies the metabolic syndrome has been implicated as a major player in both the installation of the syndrome and its associated pathophysiological consequences [16]. In good agreement with this interpretation of things, weight loss of obese patients is repeatedly verified to be associated with a decrease of inflammation biomarkers [1721] accompanied by improvement of metabolic parameters, namely, insulin sensitivity [2226].

2. The Inflammatory Response

Inflammation is a physiological response of the organism to harmful stimuli, be they physical, chemical, or biological. The response provided usually conducts to the reestablishment of homeostasis. It involves the coordinated action of many cell types and mediators, whose intervention depends on the nature of the initial stimulus and ensuing responses thereafter. The normal acute inflammatory response involves the delivery of plasma components and leucocytes to the site of insult and is initiated by tissue-resident macrophages and mast cells leading to a production of different types of inflammatory mediators (chemokines, cytokines, vasoactive amines, eicosanoids, and products of proteolytic cascades) [16]. The activated endothelium allows extravasation of neutrophils and soluble components to the tissue, where they become activated releasing toxic agents and proteolytic enzymes to the extracellular milieu [27]. If successful, the injurious agent is eliminated and inflammation resolution and tissue repair follow. This is achieved by switching the lipid mediators from proinflammatory (e.g., prostaglandins) to anti-inflammatory and pro-resolution ones (lipoxins, resolvins, and protectins) and by the action of tissue-resident and newly recruited macrophages [27]. Tissue leucocytes undergo apoptosis and are phagocytised by the macrophages that leave the inflamed site by lymphatic drainage [28]. The apoptosis of inflammatory cells is a nonphlogistic physiological process of removing dead cells and is essential for the resolution of inflammation [16] with the added advantage that after engulfing these apoptotic cells, macrophages acquire a phenotype conductive to resolution, releasing anti-inflammatory signals such as interleukin-(IL-) 10 and transforming growth factor (TGF ) [29]. However, if the neutralization and removal of the noxious stimuli or even if the clearance of apoptotic inflammatory cells from the inflamed tissue fail, the inflammatory process persists and a state of chronic inflammation or autoimmunity may arise with different agents being recruited, namely, T lymphocytes and the development of lymphoid infiltrates in the tissue [30]. It has recently been demonstrated that the chronic inflammatory condition associated with morbid obesity is characterized by a continuous activation of the innate immune system [31].

3. Inflammation in Obesity and the Metabolic Syndrome

The inflammatory state that accompanies the metabolic syndrome shows a quite peculiar presentation, as it is not accompanied by infection or sign of autoimmunity and no massive tissue injury seems to have taken place. Furthermore, the dimension of the inflammatory activation is not large and so it is often called “low-grade” chronic inflammation. Other researchers have attempted to name this inflammatory state as “metaflammation”, meaning metabolically triggered inflammation [32], or “parainflammation” as a term to define an intermediate state between basal and inflammatory states [33]. Whatever the term used, the inflammatory process that characterizes the metabolic syndrome seems to have its own unique features, its mechanisms being far from fully understood [15].

Recent studies have been confirming the positive association between obesity indices and inflammatory markers, mainly CRP protein in women [34, 35], but also other inflammatory markers, both in women and men [31, 36].

Increasing incidence of the metabolic syndrome all over the world accompanies adoption of the so-called modern Western lifestyle [37, 38]. The main negative features of this lifestyle include stress (long-term and continuous, psychological), positive energy balance (excessive energy intake and low physical activity), low-quality food (both high fat and energy dense, and at the same time poor in micronutrients), and disruption of chronobiology. An acute disturbance in any of the physiological regulatory systems evokes reactions that tend to reestablish equilibrium. When the stimuli, even of moderate magnitude, tend to be repetitive or chronic, change and allostasis in one system impact on the other, and vicious cycles are created and reinforced [1].

A state of positive energetic balance, with fat accrual along time, demands plasticity of the adipose tissue, which includes formation of new adipocytes and also physical compliance of the anatomical spaces for adipose tissue expansion [39]. Otherwise two deleterious phenomena ensue, hypertrophic growth of adipocytes that will rupture more and more frequently and fat deposition in organs other than adipose tissue [40], mainly in the liver, with local (nonalcoholic fatty liver disease) and systemic (insulin resistance) consequences. It is well known that the lack of adipose tissue, as evident in lipodystrophy [41], may equally lead to the development of metabolic syndrome.

After a meal, fatty acids are taken up by adipocytes, and during fasting or increased expenditure periods, the fatty acids are released to the blood stream. This is usually achieved through the coordinated action of hormones, catecholamines and insulin being the chief regulators of this balance [42]. Not only is the adipocyte metabolism altered by these hormones, but these hormones also regulate blood flow into the adipose tissue through the regulation of vascular tone, such that there is increased blood supply when the organ is metabolically active [43]. Inadequate blood supply in a growing adipose tissue results in reduced oxygenation that may also contribute to inflammation [44].

The homeostatic capacity of adipose tissue development, with adipocyte hyperplasia responding to fat accommodation needs, has its limits and may contribute, in people that are not able to develop benign obesity, to adipocyte hypertrophy and the inflammatory response. Obesity researchers aimed, for some time, to find and study antiadipogenic agents to combat/prevent obesity, but that concept is no longer defensible [4548].

3.1. Adipocyte Dysfunction and Inflammation

An increase in circulating concentration of NEFA [42] reflects the inability of the adipose tissue to buffer the excess nutrient intake and is related to the dyslipidemic state that is typical of the metabolic syndrome. When overload becomes present, the liver increases the production of apo-B containing particles that carry triacylglycerols to the adipose tissue resulting in low-density lipoprotein (LDL) formation [49]. This occurs in visceral adipose tissue very efficiently and this depot is also more capable of releasing lipids in times of requirement. The subcutaneous adipose tissue has usually a much larger capacity to store lipids given its usually larger size. This may explain why subcutaneous adipose tissue appears to be protective in terms of metabolic syndrome and why men, who for genetic and hormonal reasons possess a smaller subcutaneous adipose tissue compartment, achieve earlier the limit of that depot and overuse the visceral depot. When the capacity of both locations is overwhelmed, the conversion of very low-density lipoprotein (VLDL) or similar particles is delayed and hypertriglyceridemia originates [42]. Furthermore, other tissues are used for lipid accumulation (e.g., liver, muscle, pancreas, and heart) [40]. As these organs are not able to store lipids without harm to their functions, lipotoxicity may be the result culminating, in the case of muscle, liver, and pancreas, in insulin resistance.

Although it has become evident that adipocytes are involved in innate immunity, only recently was the presence of toll-like receptors (TLRs) in these cells described. The two most widely studied TLRs are TLR2 and TLR4, which are activated by bacterial lipoproteins and by lipopolysaccharide (LPS), respectively [50]. The engagement of either receptor leads to translocation of nuclear factor B (NF B) to the nucleus. In addition to their early recognized role in immunity, a participation in the regulation of metabolism is also being attributed to TLRs [50]. It has been shown that these receptors may be activated by specific types of lipids. It had already been demonstrated that the fatty acid moiety of TLR ligands was essential for their activation [51] and this led to the investigation of its possible activation by different sorts of lipids. Thus, it was discovered that saturated fatty acids activate both TLR2 and TLR4 and, instead, unsaturated fatty acids inhibit TLR-mediated signalling and gene expression [16]. This was also demonstrated with diet-derived saturated fatty acids, which increased TLR-mediated expression of IL-6 and tumor necrosis factor (TNF- ), whereas unsaturated fatty acids had no effect alone but inhibited the saturated fatty acid-induced increase in TNF- expression [16]. TLR4 has been found in murine preadipocytes 3T3-L1 and both TLR2 and TLR4 have been shown to be present and functional in human subcutaneous adipocytes [16]. Activation of TLRs results in synthesis of proinflammatory factors such as TNF- , IL-6, and chemokines [16]. Considering the implication of the increase in circulatory NEFA in adipose tissue dysfunction, it is very likely that the activation of TLRs takes place in hyperlipidemic states, resulting in amplified inflammation and contributing to the development or aggravation of the metabolic syndrome [50].

There is compelling evidence showing that exposure of adipocytes to several types of stressors (oxidative stress, inflammatory cytokines, and elevated concentrations of fatty acids) induces cellular responses mediated by cellular kinases, including mitogen-activated protein kinases (MAPK; p38MAPK, c-Jun N-terminal kinase (JNK) and extracellular signal-regulated kinase), inhibitor of NF B kinase (IKK) , mammalian target of rapamycin (mTOR), and various conventional and atypical protein kinases C (PKC). Some of these kinases involved in stress-sensing are related to the impairment of insulin action through the stimulation of insulin receptor substrate (IRS) serine phosphorylation but also often activate targets related to the inflammatory response [32]. The three main kinases that have been related to this inactivation of IRS are JNK, IKK and PKC [16]. They exert powerful effects on proinflammatory gene expression, through activation of activator protein-1 (AP-1) complexes and NF B [52].

Metabolic dysfunction due to metabolic overload also seems to be mediated through IKK . The reduction of IKK expression partly protects mice from obesity-induced insulin resistance, and the inhibition of this kinase achieved by high doses of salicylates has been shown to improve insulin sensitivity in humans and other experimental models [16]. PKC has also been shown to constitute an important interface between metabolic deregulation, inflammation, and insulin resistance. This kinase (isoform in skeletal muscle and in the liver) can be activated by fatty acid metabolites that accumulate due to metabolic pathway burden such as fatty acyl CoA and diacylglycerol, leading to inhibitory serine phosphorylation of IRS and attenuation of insulin signalling [16]. Furthermore, PKC is known to activate IKK and might contribute to insulin resistance and amplification of inflammation.

The metabolic stress to which adipose tissue is subjected in obesity, together with other already mentioned stresses, results in organelle dysfunction, particularly in mitochondria and the endoplasmic reticulum (ER). The ER is a cytosolic organelle that participates in the regulation of lipid, glucose, cholesterol, and protein metabolism, apart from being the site of triacylglycerol droplet formation. In the obese, the adipocyte may be especially challenged, given that it is required to secrete large amounts of substances and synthesise lipids. Under such conditions, ER function may be impaired leading to the accumulation of misfolded or unfolded proteins in its lumen. As a way to cope with it, the stressed endoplasmic reticulum engages the unfolded protein response (UPR). The UPR functions via signalling through three branches, denoted for the three stress-sensing proteins found in the ER membrane: PKR-like eukaryotic initiation factor 2a kinase (PERK), inositol-requiring enzyme-1 (IRE-1), and activating transcription factor-6 (ATF-6) [53]. Their activation attenuates the cellular workload (decreasing protein translation, clearance, and degradation of excess proteins from the ER lumen) and induces repair (induction of an antioxidant response and of chaperone transcription to assist with the unfolded proteins) and ER biogenesis, towards recovery and survival of the cell. However, if the ER stress is not relieved, the UPR may also induce cell death via apoptosis. JNK, after activation by IRE-1, is an important effector in this action and, apart from this role, it may lead to a variety of other downstream effects depending on the cellular context, such as cell survival, inflammation, and insulin resistance. The activation of inflammation by the UPR also depends upon the IKK-NF B pathway, also through IRE-1 , resulting in increased TNF- and IL-6 production, further supporting its contribution to insulin resistance [16].

Obesity is associated with deregulated lipid and carbohydrate metabolism. An increase in either one of these substrates will also increase the demand on the mitochondria and the utilization of the electron transport chain [54]. As in metabolically active tissues undergoing increased demand, there is usually relative hypoxia, together with the increased need for nutrient oxidation. This generates unusual amounts of reactive oxygen species. Oxidative stress activates kinases like JNK, p38 MAPK, and IKK that may directly interfere with insulin signalling or indirectly via induction of NF B and increased cytokine production [16].

Furthermore, the enhanced flux through alternative metabolic pathways leads to the generation of other metabolites that may themselves be related to impairment of insulin function and inflammation. Examples include fatty acyl CoA, diacylglycerol, which activate PKC serine kinases, and ceramide, which can undergo phosphorylation to ceramide-1-phosphate and promote inflammation or originate secondary metabolites with the same effect. Ceramide may also activate protein phosphatase 2A, which inactivates PKB/Akt and attenuates insulin response, contributing to insulin resistance [55].

3.2. Visceral Obesity

Adipose tissue pathogenicity differs according to adipose tissue localization, visceral, or subcutaneous [56]. Visceral adiposity seems to be an independent predictor of insulin sensitivity [5759], impaired glucose tolerance [60], elevated blood pressure [61, 62], and dyslipidemia [58, 63]. Visceral fat is a highly active tissue from the metabolic point of view. It is apparently more susceptible to lipolysis than subcutaneous adipose tissue [64] and is associated with higher production of TNF- [64, 65], plasminogen activator inhibitor-1 (PAI-1) [66], IL-6, and CRP [67]. On the other hand, it is a feabler producer of adiponectin, an adipokine more strongly correlated with subcutaneous fat [68]. Bahceci and collaborators [69] found a positive correlation between adipocyte size and TNF- , IL-6, and high-sensitivity CRP. On the other hand, adiponectin was found to be negatively correlated with adipocyte size.

Although visceral obesity seems to play a central role in the metabolic syndrome, being generally considered much more proinflammatory [70], not all patients with the syndrome present this feature. Perhaps more important than the amount of accumulated fat in the abdominal cavity is the size of abdominal adipocytes. We have shown that big adipocytes are more prone to rupture [45], and cell rupture will obviously constitute a focus of inflammation. Macrophage crowns surrounding dead adipocytes in adipose tissue, as shown by Cinti and collaborators [71], are compatible with this hypothesis.

As already stated, adipocytes behave as immune cells [7275] and are able to synthesize and release a huge amount of proinflammatory adipokines and cytokines including leptin, resistin, PAI-1, IL-6, TNF , retinol-binding protein 4 (see [16]), IL-1 , monocyte chemoattractant protein-1 (MCP-1), CRP, macrophage migration inhibitory factor (MIF) (see [76]), chemokines from the CC and CXC families [77], and more recently described cytokines such as IL-18 [78] and IL-33 [79], most of which, if not all, are involved in insulin resistance [76, 80]. But beyond the capacity of adipocytes to secrete these and possibly more proinflammatory cytokines, under circumstances of obesity and/or nutrient overload, adipose tissue macrophages do also provide their counterpart of insulin-resistance inducing cytokines. Moreover, obese adipose tissue do also contain lymphocytes that participate in and reinforce the inflammatory reaction and consequent insulin resistance [77, 81, 82].

Whereas subcutaneous adipocytes can also become hypertrophic, and most probably do also rupture, visceral adipocytes, besides being supported by much less dense connective tissue in comparison with subcutaneous adipose tissue, are frequently subject to sudden pressure variations associated with cough, physical exercises [83], and sleep apnea [84, 85]. Intra-abdominal pressure is higher in obese patients [86], what may also impact on adipocyte stability. Preadipocytes of upper-body obese women exhibit reduced differentiation and are more prone to apoptosis than preadipocytes isolated from adipose tissue of lower-body obese or lean women [87]. The factors involved in this preadipocyte behaviour deserve investigation [88]. Moreover, it has been proposed that visceral adipose tissue growth is mainly due to hypertrophy, while in other locations there may be mainly growth through hyperplasia [89]. The physical constrains presented inside the abdominal cavity may halt adipogenic differentiation of adipose tissue precursors reducing the number of competent cells to accumulate excessive energy ingested. As a matter of fact, it has been shown that stretching inhibits adipocyte differentiation [16].

In an interesting model of diet-induced metabolic syndrome, the fructose-fed rat, the animals exhibit a series of metabolic syndrome features but do not weigh more than controls. However, their abdominal adipocytes are hypertrophic, a modification prevented by blockade of the renin-angiotensin system [90]. Functional relationships between adipocytes and the renin-angiotensin-aldosterone system [91] or between adipocytes and adrenocortex/aldosterone [92] do probably deserve more attention. A critical role for the balance between gluco- and mineralocorticoid action in determining adipocyte responses implicated in obesity-associated inflammation and cardiovascular complications has recently been demonstrated [93].

Another characteristic of abdominal adipose tissue is its high metabolic activity and dense vascularisation. This high vascularisation is most probably due to the action of angiogenic/proinflammatory factors, of which leptin constitutes an example [94, 95]. On the other hand, increased intra-abdominal pressure, as well as pressure variations, may easily create periods/zones of hypoxia, contributing to the production of hypoxia inducible factors. Vascular endothelial growth factor (VEGF), leptin, adenosine, and substance P, among others, will impact on other features of the metabolic syndrome. Furthermore, hypoxia by itself inactivates the adiponectin promoter [96].

3.3. Diet, Microbiota, and Inflammation

Among the complex interaction between genetic, metabolic, and environmental factors that is most probably associated with the present prevalence of obesity and metabolic syndrome, dietary patterns are considered of central importance. In these, attention has been focused over calories, amounts, and proportions of macronutrients, and their effects on the energetic balance by themselves, and through metabolic regulators. Only recently have the acute effects of food ingestion, taking into consideration the type of food, and the specific effects of some nutrients, namely, fatty acids, began to be studied in relation with obesity and inflammation.

Total dietary fat and saturated fat are associated with insulin resistance and high blood pressure as well as obesity-related inflammation [97]. An immediate postprandial increase in plasma inflammatory markers after a high-fat meal had been shown in abdominally obese men [98]. Consumption of a saturated fatty acid-rich diet resulted in a proinflammatory “obesity-linked” gene expression profile, whereas consumption of a monounsaturated fatty acid-rich diet caused a more anti-inflammatory profile [99]. Moreover, acute dietary n-3 PUFA dietary supplementation has been shown to improve fasting as well as postprandial lipid metabolism and components of the associated inflammatory response in the JCR:LA-cp rat [100]. Increased central and overall adiposity in children is associated with higher circulating adipocyte protein 2 (aP2) concentrations, high dietary intakes of total fat and saturated fat influencing aP2 association with insulin resistance and inflammation [101]. Intakes of total fat and antioxidant vitamins have been shown to be determinants of subclinical inflammation in the same children [102].

It must, however, be taken into account that inflammatory markers increase even after a mixed meal, more so in children with central obesity [103]. The proinflammatory effect of a high-fat diet per se is shown in a most interesting investigation by the group of Rankin: people put under a weight loss diet and that effectively lost weight increased the concentration of an inflammation marker when the diet was high-fat, differently from a low-fat high carbohydrate diet where the inflammatory marker decreased with the loss of weight. They also showed that the proinflammatory effect of the high-fat diet was not dependent on oxidative stress [104, 105]. These results are corroborated in a recently published experimental research work in mice, where it has been shown that a shift from a high-fat to a high-carbohydrate diet improved levels of adipokines and proinflammatory cytokines [106].

Intestinal microbiota, microorganisms which are known to contribute to digestion and metabolism, have barely been taken into consideration in this discussion, but for some recent papers [107111]. However, the extension and metabolic gene repertoire of our microbiota are compatible with huge metabolic consequences for the host depending on the microbiota constitution.

Comparison of microbiota from obese and nonobese subjects has shown different proportions of certain species [112], but it remains unknown what is cause and consequence, or the metabolic consequences, for the host, of harboring different microbiota. This remains an almost virgin soil, in spite of the putative importance of conditioning the evolution of the microbiota in the metabolic interest of the host. Some associations between dietary patterns and resistance to obesity, namely, the importance of the diet acid load [113], nondigestible plant material [114], or the richness in certain minerals [115] may indeed include effects of those elements on the microbiota.

Cani and collaborators have demonstrated that high-fat feeding increases intestinal permeability and the plasma concentration of LPS, that is, metabolic endotoxemia, and that changes in gut microbiota control this metabolic endotoxemia and inflammation [116]. Therefore, high-fat feeding may have direct proinflammatory /anti-inflammatory effects, depending on the nature of fatty acids, long-term inflammatory consequences related with overload of adipose tissue, and indirectly modulate metabolic endotoxemia and inflammation through effects on the microbiota.

4. Conclusion

It has become evident that the inflammatory condition that is associated with obesity and overweight plays an important part in the aetiology of the metabolic syndrome and largely contributes to the related pathological outcomes. From the reasons here presented, it seems likely that adipocyte dysfunction lies at the bottom of this question, its homeostatic functions being overwhelmed due to metabolic overload. From then on, several vicious cycles exacerbate the disturbances and lead to an inflammatory response, most intense when adipocytes reach large dimensions and easily rupture for mechanical reasons. In parallel with this, the effects of high-fat diets, frequently consumed by obese subjects, add to the inflammatory fire, both directly, when the fat is rich in saturated fatty acids, and indirectly, through effects on the microbiota and intestinal permeability (Figure 1).

Progress in the knowledge of this highly complex network of pathophysiological events that include multiple cell types, cytokines, nutrients, in a variable nervous and hormonal status, as well as specific physical constraints and microbial colonization, will open the way for effective therapeutic interventions. Inflammatory mediators are already showing their usefulness as biomarkers of the metabolic/inflammatory/disease-prone status of patients with the metabolic syndrome.

But diet will remain playing a crucial role in multiple aspects of this large picture. And, although much remains to be known in what respects nutrition, the biggest challenge will be to reinstall a nonobesogenic lifestyle.

List of Abbreviations

AP-1:Activator protein-1
aP2:Adipocyte protein 2
ATF-6:Activating transcription factor-6
ATP III:Adult treatment panel III
CoA:Coenzyme A
CRP:C-reactive protein
ER:Endoplasmic reticulum
HDL:High-density lipoprotein
IKK:Inhibitor of nuclear factor κB kinase
IRE-1:Inositol-requiring enzyme-1
IRS:Insulin receptor substrate
JNK:C-Jun N-terminal kinase
LDL:Low-density lipoprotein
MAPK:Mitogen-activated protein kinase
MCP-1:Monocyte chemoattractant protein-1
MIF:Migration inhibitory factor
mTOR:Mammalian target of rapamycin
NECP:National cholesterol education program
NEFA:Nonesterified fatty acids
NF B:Nuclear factor B
PAI-1:Plasminogen activator inhibitor-1
PERK:PKR-like eukaryotic initiation factor 2a kinase
PKB:Protein kinase B
PKC:Protein kinase C
TGF :Transforming growth factor
TLR:Toll-like receptor
TNF:Tumor necrosis factor
UPR:Unfolded protein response
VEGF:Vascular endothelial growth factor
VLDL:Very low-density lipoprotein.


  1. A. Azevedo, A. C. Santos, L. Ribeiro, and I. Azevedo, “The metabolic syndrome,” in Oxidative Stress, Inflammation and Angiogenesis in the Metabolic Syndrome, R. Soares and C. Costa, Eds., pp. 1–19, Springer Science, Nerw York, NY, USA, 2009. View at: Google Scholar
  2. I. D. Caterson, V. Hubbard, and V. Hubbard, “Prevention Conference VII: obesity, a worldwide epidemic related to heart disease and stroke: group III: worldwide comorbidities of obesity,” Circulation, vol. 110, no. 18, pp. e476–e483, 2004. View at: Google Scholar
  3. R. H. Eckel, S. M. Grundy, and P. Z. Zimmet, “The metabolic syndrome,” The Lancet, vol. 365, no. 9468, pp. 1415–1428, 2005. View at: Publisher Site | Google Scholar
  4. A. Galassi, K. Reynolds, and J. He, “Metabolic syndrome and risk of cardiovascular disease: a meta-analysis,” American Journal of Medicine, vol. 119, no. 10, pp. 812–819, 2006. View at: Publisher Site | Google Scholar
  5. D. Einhorn, G. M. Reaven, and G. M. Reaven, “American College of Endocrinology position statement on the insulin resistance syndrome,” Endocrine Practice, vol. 9, no. 3, pp. 237–252, 2003. View at: Google Scholar
  6. S. Uretsky, F. H. Messerli, S. Bangalore, A. Champion, R. M. Cooper-DeHoff, Q. Zhou, and C. J. Pepine, “Obesity paradox in patients with hypertension and coronary artery disease,” American Journal of Medicine, vol. 120, no. 10, pp. 863–870, 2007. View at: Publisher Site | Google Scholar
  7. C. A. Aguilar-Salinas, E. García, and E. García, “High adiponectin concentrations are associated with the metabolically healthy obese phenotype,” Journal of Clinical Endocrinology and Metabolism, vol. 93, no. 10, pp. 4075–4079, 2008. View at: Publisher Site | Google Scholar
  8. R. P. Wildman, P. Muntner, K. Reynolds, A. P. McGinn, S. Rajpathak, J. Wylie-Rosett, and M. R. Sowers, “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),” Archives of Internal Medicine, vol. 168, no. 15, pp. 1617–1624, 2008. View at: Publisher Site | Google Scholar
  9. N. Stefan, K. Kantartzis, and K. Kantartzis, “Identification and characterization of metabolically benign obesity in humans,” Archives of Internal Medicine, vol. 168, no. 15, pp. 1609–1616, 2008. View at: Publisher Site | Google Scholar
  10. R. P. Wildman, “Healthy obesity,” Current Opinion in Clinical Nutrition and Metabolic Care, vol. 12, no. 4, pp. 438–443, 2009. View at: Publisher Site | Google Scholar
  11. K. G. Alberti and P. Z. Zimmet, “Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus. Provisional report of a WHO consultation,” Diabetic Medicine, vol. 15, no. 7, pp. 539–553, 1998. View at: Publisher Site | Google Scholar
  12. B. Balkau and M. A. Charles, “Comment on the provisional report on the provisional report from WHO consultation. European group for the study of insulin resistance (EGIR),” Diabetic Medicine, vol. 16, pp. 442–443, 1999. View at: Google Scholar
  13. J. I. Cleeman, “Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III),” Journal of the American Medical Association, vol. 285, no. 19, pp. 2486–2497, 2001. View at: Google Scholar
  14. P. Welsh, E. Polisecki, and E. Polisecki, “Unraveling the directional link between adiposity and inflammation: a bidirectional mendelian randomization approach,” Journal of Clinical Endocrinology and Metabolism, vol. 95, no. 1, pp. 93–99, 2010. View at: Publisher Site | Google Scholar
  15. R. Monteiro, “Chronic inflammation in the metabolic syndrome: emphasis on adipose tissue,” in Oxidative Stress, Inflammation and Angiogenesis in the Metabolic Syndrome, R. Soares and C. Costa, Eds., pp. 65–83, Springer Science, Nerw York, NY, USA, 2009. View at: Google Scholar
  16. M. Qatanani and M. A. Lazar, “Mechanisms of obesity-associated insulin resistance: many choices on the menu,” Genes and Development, vol. 21, no. 12, pp. 1443–1455, 2007. View at: Publisher Site | Google Scholar
  17. L. K. Heilbronn, M. Noakes, and P. M. Clifton, “Energy restriction and weight loss on very-low-fat diets reduce C-reactive protein concentrations in obese, healthy women,” Arteriosclerosis, Thrombosis, and Vascular Biology, vol. 21, no. 6, pp. 968–970, 2001. View at: Google Scholar
  18. P. Ziccardi, F. Nappo, and F. Nappo, “Reduction of inflammatory cytokine concentrations and improvement of endothelial functions in obese women after weight loss over one year,” Circulation, vol. 105, no. 7, pp. 804–809, 2002. View at: Publisher Site | Google Scholar
  19. B. J. Nicklas, W. Ambrosius, and W. Ambrosius, “Diet-induced weight loss, exercise, and chronic inflammation in older, obese adults: a randomized controlled clinical trial,” American Journal of Clinical Nutrition, vol. 79, no. 4, pp. 544–551, 2004. View at: Google Scholar
  20. S.-B. Chen, Y.-C. Lee, K.-H. Ser, J.-C. Chen, S. C. Chen, H.-F. Hsieh, and W.-J. Lee, “Serum C-reactive protein and white blood cell count in morbidly obese surgical patients,” Obesity Surgery, vol. 19, no. 4, pp. 461–466, 2009. View at: Publisher Site | Google Scholar
  21. I. Orea Soler, F. Illán Gómez, and F. Illán Gómez, “Soluble intercellular adhesion molecule-1 and C reactive protein after bariatric surgery,” Endocrinologia y Nutricion, vol. 57, no. 3, pp. 90–94, 2010. View at: Publisher Site | Google Scholar
  22. P. Dandona, R. Weinstock, K. Thusu, E. Abdel-Rahman, A. Aljada, and T. Wadden, “Tumor necrosis factor-α in sera of obese patients: fall with weight loss,” Journal of Clinical Endocrinology and Metabolism, vol. 83, no. 8, pp. 2907–2910, 1998. View at: Publisher Site | Google Scholar
  23. J.-P. Bastard, C. Jardel, and C. Jardel, “Elevated levels of interleukin 6 are reduced in serum and subcutaneous adipose tissue of obese women after weight loss,” Journal of Clinical Endocrinology and Metabolism, vol. 85, no. 9, pp. 3338–3342, 2000. View at: Google Scholar
  24. H.-P. Kopp, K. Krzyzanowska, M. Möhlig, J. Spranger, A. F. H. Pfeiffer, and G. Schernthaner, “Effects of marked weight loss on plasma levels of adiponectin, markers of chronic subclinical inflammation and insulin resistance in morbidly obese women,” International Journal of Obesity, vol. 29, no. 7, pp. 766–771, 2005. View at: Publisher Site | Google Scholar
  25. H. P. Kopp, C. W. Kopp, and C. W. Kopp, “Impact of weight loss on inflammatory proteins and their association with the insulin resistance syndrome in morbidly obese patients,” Arteriosclerosis, Thrombosis, and Vascular Biology, vol. 23, no. 6, pp. 1042–1047, 2003. View at: Publisher Site | Google Scholar
  26. R. Martos, M. Valle, R. M. Morales, R. Cañete, F. Gascón, and M. M. Urbano, “Changes in body mass index are associated with changes in inflammatory and endothelial dysfunction biomarkers in obese prepubertal children after 9 months of body mass index SD score loss,” Metabolism, vol. 58, no. 8, pp. 1153–1160, 2009. View at: Publisher Site | Google Scholar
  27. C. N. Serhan, “Resolution phase of inflammation: novel endogenous anti-inflammatory and proresolving lipid mediators and pathways,” Annual Review of Immunology, vol. 25, pp. 101–137, 2007. View at: Publisher Site | Google Scholar
  28. G. J. Bellingan, P. Xu, and P. Xu, “Adhesion molecule-dependent mechanisms regulate the rate of macrophage clearance during the resolution of peritoneal inflammation,” Journal of Experimental Medicine, vol. 196, no. 11, pp. 1515–1521, 2002. View at: Publisher Site | Google Scholar
  29. M.-L. N. Huynh, V. A. Fadok, and P. M. Henson, “Phosphatidylserine-dependent ingestion of apoptotic cells promotes TGF-β1 secretion and the resolution of inflammation,” Journal of Clinical Investigation, vol. 109, no. 1, pp. 41–50, 2002. View at: Publisher Site | Google Scholar
  30. T. Lawrence and D. W. Gilroy, “Chronic inflammation: a failure of resolution?” International Journal of Experimental Pathology, vol. 88, no. 2, pp. 85–94, 2007. View at: Publisher Site | Google Scholar
  31. J. Nijhuis, S. S. Rensen, Y. Slaats, F. M. H. van Dielen, W. A. Buurman, and J. W. M. Greve, “Neutrophil activation in morbid obesity, chronic activation of acute inflammation,” Obesity, vol. 17, no. 11, pp. 2014–2018, 2009. View at: Publisher Site | Google Scholar
  32. G. S. Hotamisligil, “Inflammation and metabolic disorders,” Nature, vol. 444, no. 7121, pp. 860–867, 2006. View at: Publisher Site | Google Scholar
  33. R. Medzhitov, “Origin and physiological roles of inflammation,” Nature, vol. 454, no. 7203, pp. 428–435, 2008. View at: Publisher Site | Google Scholar
  34. M. Bochud, F. Marquant, and F. Marquant, “Association between C-reactive protein and adiposity in women,” Journal of Clinical Endocrinology and Metabolism, vol. 94, no. 10, pp. 3969–3977, 2009. View at: Publisher Site | Google Scholar
  35. T. Shemesh, K. G. Rowley, A. Jenkins, J. Brimblecombe, J. D. Best, and K. O'Dea, “Differential association of C-reactive protein with adiposity in men and women in an Aboriginal community in northeast Arnhem Land of Australia,” International Journal of Obesity, vol. 31, no. 1, pp. 103–108, 2007. View at: Publisher Site | Google Scholar
  36. O. H. Mortensen, A. R. Nielsen, and A. R. Nielsen, “Calprotectin—a novel marker of obesity,” PLoS ONE, vol. 4, no. 10, article e7419, 2009. View at: Publisher Site | Google Scholar
  37. M. R. Carnethon, C. M. Loria, J. O. Hill, S. Sidney, P. J. Savage, and K. Liu, “Risk factors for metabolic syndrome: the Coronary Artery Risk Development in Young Adults (CARDIA) study, 1985–2001,” Diabetes Care, vol. 27, no. 11, pp. 2707–2715, 2004. View at: Publisher Site | Google Scholar
  38. T. Wilsgaard and B. K. Jacobsen, “Lifestyle factors and incident metabolic syndrome. The Tromsø Study 1979–2001,” Diabetes Research and Clinical Practice, vol. 78, no. 2, pp. 217–224, 2007. View at: Publisher Site | Google Scholar
  39. R. Monteiro, E. Keating, P. Castro, and I. Azevedo, “Abdominal cavity compliance: a participant more in the building up of visceral obesity,” Obesity, vol. 17, no. 5, p. 937, 2009. View at: Publisher Site | Google Scholar
  40. J. K. Sethi and A. J. Vidal-Puig, “Thematic review series: adipocyte biology. Adipose tissue function and plasticity orchestrate nutritional adaptation,” Journal of Lipid Research, vol. 48, no. 6, pp. 1253–1262, 2007. View at: Publisher Site | Google Scholar
  41. R. A. Hegele, T. R. Joy, S. A. Al-Attar, and B. K. Rutt, “Thematic review series: adipocyte biology—lipodystrophies: windows on adipose biology and metabolism,” Journal of Lipid Research, vol. 48, no. 7, pp. 1433–1444, 2007. View at: Publisher Site | Google Scholar
  42. M. Laclaustra, D. Corella, and J. M. Ordovas, “Metabolic syndrome pathophysiology: the role of adipose tissue,” Nutrition, Metabolism and Cardiovascular Diseases, vol. 17, no. 2, pp. 125–139, 2007. View at: Publisher Site | Google Scholar
  43. K. N. Frayn, F. Karpe, B. A. Fielding, I. A. Macdonald, and S. W. Coppack, “Integrative physiology of human adipose tissue,” International Journal of Obesity, vol. 27, no. 8, pp. 875–888, 2003. View at: Publisher Site | Google Scholar
  44. M. Pasarica, O. R. Sereda, and O. R. Sereda, “Reduced adipose tissue oxygenation in human obesity evidence for rarefaction, macrophage chemotaxis, and inflammation without an angiogenic response,” Diabetes, vol. 58, no. 3, pp. 718–725, 2009. View at: Publisher Site | Google Scholar
  45. R. Monteiro, P. M. S. T. de Castro, C. Calhau, and I. Azevedo, “Adipocyte size and liability to cell death,” Obesity Surgery, vol. 16, no. 6, pp. 804–806, 2006. View at: Publisher Site | Google Scholar
  46. G. Medina-Gómez and A. Vidal-Puig, “Adipose tissue as a therapeutic target in obesity,” Endocrinologia y Nutricion, vol. 56, no. 8, pp. 404–411, 2009. View at: Publisher Site | Google Scholar
  47. B. Gustafson, S. Gogg, S. Hedjazifar, L. Jenndahl, A. Hammarstedt, and U. Smith, “Inflammation and impaired adipogenesis in hypertrophic obesity in man,” American Journal of Physiology, vol. 297, no. 5, pp. E999–E1003, 2009. View at: Publisher Site | Google Scholar
  48. P. Isakson, A. Hammarstedt, B. Gustafson, and U. Smith, “Impaired preadipocyte differentiation in human abdominal obesity: role of Wnt, tumor necrosis factor-α, and inflammation,” Diabetes, vol. 58, no. 7, pp. 1550–1557, 2009. View at: Publisher Site | Google Scholar
  49. K. G. Parhofer and P. H. R. Barrett, “What we have learned about VLDL and LDL metabolism from human kinetics studies,” Journal of Lipid Research, vol. 47, no. 8, pp. 1620–1630, 2006. View at: Publisher Site | Google Scholar
  50. I. Wolowczuk, C. Verwaerde, O. Viltart, A. Delanoye, M. Delacre, B. Pot, and C. Grangette, “Feeding our immune system: impact on metabolism,” Clinical and Developmental Immunology, vol. 2008, Article ID 639803, 19 pages, 2008. View at: Publisher Site | Google Scholar
  51. C. R. H. Raetz, “Biochemistry of endotoxins,” Annual Review of Biochemistry, vol. 59, pp. 129–170, 1990. View at: Google Scholar
  52. V. Baud and M. Karin, “Signal transduction by tumor necrosis factor and its relatives,” Trends in Cell Biology, vol. 11, no. 9, pp. 372–377, 2001. View at: Publisher Site | Google Scholar
  53. M. F. Gregor and G. S. Hotamisligil, “Thematic review series: Adipocyte Biology. Adipocyte stress: the endoplasmic reticulum and metabolic disease,” Journal of Lipid Research, vol. 48, no. 9, pp. 1905–1914, 2007. View at: Publisher Site | Google Scholar
  54. A. Rudich, H. Kanety, and N. Bashan, “Adipose stress-sensing kinases: linking obesity to malfunction,” Trends in Endocrinology and Metabolism, vol. 18, no. 8, pp. 291–299, 2007. View at: Publisher Site | Google Scholar
  55. M. P. Wymann and R. Schneiter, “Lipid signalling in disease,” Nature Reviews Molecular Cell Biology, vol. 9, no. 2, pp. 162–176, 2008. View at: Publisher Site | Google Scholar
  56. M. Lafontan and M. Berlan, “Do regional differences in adipocyte biology provide new pathophysiological insights?” Trends in Pharmacological Sciences, vol. 24, no. 6, pp. 276–283, 2003. View at: Publisher Site | Google Scholar
  57. M. Cnop, M. J. Landchild, and M. J. Landchild, “The concurrent accumulation of intra-abdominal and subcutaneous fat explains the association between insulin resistance and plasma leptin concentrations: distinct metabolic effects of two fat compartments,” Diabetes, vol. 51, no. 4, pp. 1005–1015, 2002. View at: Google Scholar
  58. A. Katsuki, Y. Sumida, and Y. Sumida, “Increased visceral fat and serum levels of triglyceride are associated with insulin resistance in Japanese metabolically obese, normal weight subjects with normal glucose tolerance,” Diabetes Care, vol. 26, no. 8, pp. 2341–2344, 2003. View at: Publisher Site | Google Scholar
  59. L. E. Wagenknecht, C. D. Langefeld, A. L. Scherzinger, J. M. Norris, S. M. Haffner, M. F. Saad, and R. N. Bergman, “Insulin sensitivity, insulin secretion, and abdominal fat: the Insulin Resistance Atherosclerosis Study (IRAS) Family Study,” Diabetes, vol. 52, no. 10, pp. 2490–2496, 2003. View at: Publisher Site | Google Scholar
  60. T. Hayashi, E. J. Boyko, D. L. Leonetti, M. J. McNeely, L. Newell-Morris, S. E. Kahn, and W. Y. Fujimoto, “Visceral adiposity and the risk of impaired glucose tolerance: a prospective study among Japanese Americans,” Diabetes Care, vol. 26, no. 3, pp. 650–655, 2003. View at: Publisher Site | Google Scholar
  61. F. Bacha, R. Saad, N. Gungor, J. Janosky, and S. A. Arslanian, “Obesity, regional fat distribution, and syndrome X in obese black versus white adolescents: race differential in diabetogenic and atherogenic risk factors,” Journal of Clinical Endocrinology and Metabolism, vol. 88, no. 6, pp. 2534–2540, 2003. View at: Google Scholar
  62. C. Rattarasarn, R. Leelawattana, and R. Leelawattana, “Regional abdominal fat distribution in lean and obese Thai type 2 diabetic women: relationships with insulin sensitivity and cardiovascular risk factors,” Metabolism, vol. 52, no. 11, pp. 1444–1447, 2003. View at: Publisher Site | Google Scholar
  63. D. J. Nieves, M. Cnop, B. Retzlaff, C. E. Walden, J. D. Brunzell, R. H. Knopp, and S. E. Kahn, “The atherogenic lipoprotein profile associated with obesity and insulin resistance is largely attributable to intra-abdominal fat,” Diabetes, vol. 52, no. 1, pp. 172–179, 2003. View at: Publisher Site | Google Scholar
  64. V. van Harmelen, A. Dicker, M. Rydén, H. Bauner, F. Lönnqvist, E. Näslund, and P. Arner, “Increased lipolysis and decreased leptin production by human omental as compared with subcutaneous preadipocytes,” Diabetes, vol. 51, no. 7, pp. 2029–2036, 2002. View at: Google Scholar
  65. E. Bertin, P. Nguyen, M. Guenounou, V. Durlach, G. Potron, and M. Leutenegger, “Plasma levels of tumor necrosis factor-alpha (TNF-α) are essentially dependent on visceral fat amount in type 2 diabetic patients,” Diabetes and Metabolism, vol. 26, no. 3, pp. 178–182, 2000. View at: Google Scholar
  66. M. C. Alessi, F. Peiretti, P. Morange, M. Henry, G. Nalbone, and I. Juhan-Vague, “Production of plasminogen activator inhibitor 1 by human adipose tissue: possible link between visceral fat accumulation and vascular disease,” Diabetes, vol. 46, no. 5, pp. 860–867, 1997. View at: Google Scholar
  67. T. You, B. J. Nicklas, and B. J. Nicklas, “The metabolic syndrome is associated with circulating adipokines in older adults across a wide range of adiposity,” Journals of Gerontology. Series A, vol. 63, no. 4, pp. 414–419, 2008. View at: Google Scholar
  68. M. Cnop, P. J. Havel, and P. J. Havel, “Relationship of adiponectin to body fat distribution, insulin sensitivity and plasma lipoproteins: evidence for independent roles of age and sex,” Diabetologia, vol. 46, no. 4, pp. 459–469, 2003. View at: Google Scholar
  69. M. Bahceci, D. Gokalp, S. Bahceci, A. Tuzcu, S. Atmaca, and S. Arikan, “The correlation between adiposity and adiponectin, tumor necrosis factor α, interleukin-6 and high sensitivity C-reactive protein levels. Is adipocyte size associated with inflammation in adults?” Journal of Endocrinological Investigation, vol. 30, no. 3, pp. 210–214, 2007. View at: Google Scholar
  70. A.-C. Santos, C. Lopes, J. T. Guimarães, and H. Barros, “Central obesity as a major determinant of increased high-sensitivity C-reactive protein in metabolic syndrome,” International Journal of Obesity, vol. 29, no. 12, pp. 1452–1456, 2005. View at: Publisher Site | Google Scholar
  71. S. Cinti, G. Mitchell, and G. Mitchell, “Adipocyte death defines macrophage localization and function in adipose tissue of obese mice and humans,” Journal of Lipid Research, vol. 46, no. 11, pp. 2347–2355, 2005. View at: Publisher Site | Google Scholar
  72. J. A. Hoffmann, F. C. Kafatos, C. A. Janeway Jr., and R. A. B. Ezekowitz, “Phylogenetic perspectives in innate immunity,” Science, vol. 284, no. 5418, pp. 1313–1318, 1999. View at: Publisher Site | Google Scholar
  73. V. I. Alexaki, G. Notas, V. Pelekanou et al., “Adipocytes as immune cells: differential expression of TWEAK, BAFF, and APRIL and their receptors (Fn14, BAFF-R, TACI, and BCMA) at different stages of normal and pathological adipose tissue development,” The Journal of Immunology, vol. 183, pp. 5948–5956, 2009. View at: Google Scholar
  74. A. Schäffler, U. Müller-Ladner, J. Schölmerich, and C. Büchler, “Role of adipose tissue as an inflammatory organ in human diseases,” Endocrine Reviews, vol. 27, no. 5, pp. 449–467, 2006. View at: Publisher Site | Google Scholar
  75. A. Schäffler, J. Schölmerich, and B. Salzberger, “Adipose tissue as an immunological organ: Toll-like receptors, C1q/TNFs and CTRPs,” Trends in Immunology, vol. 28, no. 9, pp. 393–399, 2007. View at: Publisher Site | Google Scholar
  76. P. Libby, Y. Okamoto, V. Z. Rocha, and E. Folco, “Inflammation in atherosclerosis: transition from theory to practice,” Circulation Journal, vol. 74, no. 2, pp. 213–220, 2010. View at: Publisher Site | Google Scholar
  77. Y. Okamoto, E. J. Folco, and E. J. Folco, “Adiponectin inhibits the production of CXC receptor 3 chemokine ligands in macrophages and reduces T-lymphocyte recruitment in atherogenesis,” Circulation Research, vol. 102, no. 2, pp. 218–225, 2008. View at: Publisher Site | Google Scholar
  78. T. Skurk, H. Kolb, S. Müller-Scholze, K. Röhrig, H. Hauner, and C. Herder, “The proatherogenic cytokine interleukin-18 is secreted by human adipocytes,” European Journal of Endocrinology, vol. 152, no. 6, pp. 863–868, 2005. View at: Publisher Site | Google Scholar
  79. I. S. Wood, B. Wang, and P. Trayhurn, “IL-33, a recently identified interleukin-1 gene family member, is expressed in human adipocytes,” Biochemical and Biophysical Research Communications, vol. 384, no. 1, pp. 105–109, 2009. View at: Publisher Site | Google Scholar
  80. M. Trøseid, I. Seljeflot, and H. Arnesen, “The role of interleukin-18 in the metabolic syndrome,” Cardiovascular Diabetology, vol. 9, article 11, 2010. View at: Publisher Site | Google Scholar
  81. S. Nishimura, I. Manabe, and I. Manabe, “CD8+ effector T cells contribute to macrophage recruitment and adipose tissue inflammation in obesity,” Nature Medicine, vol. 15, no. 8, pp. 914–920, 2009. View at: Publisher Site | Google Scholar
  82. V. Z. Rocha, E. J. Folco, G. Sukhova, K. Shimizu, I. Gotsman, A. H. Vernon, and P. Libby, “Interferon-γ, a Th1 cytokine, regulates fat inflammation: role for adaptive immunity in obesity,” Circulation Research, vol. 103, no. 5, pp. 467–476, 2008. View at: Publisher Site | Google Scholar
  83. W. S. Cobb, J. M. Burns, K. W. Kercher, B. D. Matthews, H. James Norton, and B. Todd Heniford, “Normal intraabdominal pressure in healthy adults,” Journal of Surgical Research, vol. 129, no. 2, pp. 231–235, 2005. View at: Publisher Site | Google Scholar
  84. C. Calhau, I. Azevedo, and R. Monteiro, “Obstructive sleep apnoea and adipocyte death,” European Journal of Heart Failure, vol. 9, no. 1, pp. 103–104, 2007. View at: Publisher Site | Google Scholar
  85. S. Ferreira, J. Winck, P. Bettencourt, and F. Rocha-Gonçalves, “Obstructive sleep apnoea and adipocyte death: Authors reply,” European Journal of Heart Failure, vol. 9, no. 1, pp. 104–105, 2007. View at: Publisher Site | Google Scholar
  86. D. M. Lambert, S. Marceau, and R. A. Forse, “Intra-abdominal pressure in the morbidly obese,” Obesity Surgery, vol. 15, no. 9, pp. 1225–1232, 2005. View at: Publisher Site | Google Scholar
  87. Y. Tchoukalova, C. Koutsari, and M. Jensen, “Committed subcutaneous preadipocytes are reduced in human obesity,” Diabetologia, vol. 50, no. 1, pp. 151–157, 2007. View at: Publisher Site | Google Scholar
  88. R. Monteiro, C. Calhau, and I. Azevedo, “Comment on: Tchoukalova Y, Koutsari C, Jensen M (2007) Committed subcutaneous preadipocytes are reduced in human obesity. Diabetologia 50:151–157,” Diabetologia, vol. 50, no. 7, p. 1569, 2007. View at: Publisher Site | Google Scholar
  89. S. de Ferranti and D. Mozaffarian, “The perfect storm: obesity, adipocyte dysfunction, and metabolic consequences,” Clinical Chemistry, vol. 54, no. 6, pp. 945–955, 2008. View at: Publisher Site | Google Scholar
  90. M. Furuhashi, N. Ura, and N. Ura, “Blockade of the renin-angiotensin system decreases adipocyte size with improvement in insulin sensitivity,” Journal of Hypertension, vol. 22, no. 10, pp. 1977–1982, 2004. View at: Publisher Site | Google Scholar
  91. C. Roberge, A. C. Carpentier, M.-F. Langlois, J.-P. Baillargeon, J.-L. Ardilouze, P. Maheux, and N. Gallo-Payet, “Adrenocortical dysregulation as a major player in insulin resistance and onset of obesity,” American Journal of Physiology, vol. 293, no. 6, pp. E1465–E1478, 2007. View at: Publisher Site | Google Scholar
  92. M. Ehrhart-Bornstein, V. Lamounier-Zepter, and V. Lamounier-Zepter, “Human adipocytes secrete mineralocorticoid-releasing factors,” Proceedings of the National Academy of Sciences of the United States of America, vol. 100, no. 2, pp. 14211–14216, 2003. View at: Publisher Site | Google Scholar
  93. J. Hoppmann, N. Perwitz, B. Meier, M. Fasshauer, D. Hadaschik, H. Lehnert, and J. Klein, “The balance between gluco- and mineralo-corticoid action critically determines inflammatory adipocyte responses,” Journal of Endocrinology, vol. 204, no. 2, pp. 153–164, 2010. View at: Publisher Site | Google Scholar
  94. G. J. Hausman and R. L. Richardson, “Adipose tissue angiogenesis,” Journal of Animal Science, vol. 82, no. 3, pp. 925–934, 2004. View at: Google Scholar
  95. B. Wang, I. S. Wood, and P. Trayhurn, “Hypoxia induces leptin gene expression and secretion in human preadipocytes: differential effects of hypoxia on adipokine expression by preadipocytes,” Journal of Endocrinology, vol. 198, no. 1, pp. 127–134, 2008. View at: Publisher Site | Google Scholar
  96. N. Hosogai, A. Fukuhara, and A. Fukuhara, “Adipose tissue hypoxia in obesity and its impact on adipocytokine dysregulation,” Diabetes, vol. 56, no. 4, pp. 901–911, 2007. View at: Publisher Site | Google Scholar
  97. M. B. Zimmermann and I. Aeberli, “Dietary determinants of subclinical inflammation, dyslipidemia and components of the metabolic syndrome in overweight children: a review,” International Journal of Obesity, vol. 32, supplement 6, pp. S11–S18, 2008. View at: Google Scholar
  98. P. Blackburn, J.-P. Després, B. Lamarche, A. Tremblay, J. Bergeron, I. Lemieux, and C. Couillard, “Postprandial variations of plasma inflammatory markers in abdominally obese men,” Obesity, vol. 14, no. 10, pp. 1747–1754, 2006. View at: Publisher Site | Google Scholar
  99. S. J. van Dijk, E. J.M. Feskens, and E. J.M. Feskens, “A saturated fatty acid-rich diet induces an obesity-linked proinflammatory gene expression profile in adipose tissue of subjects at risk of metabolic syndrome,” American Journal of Clinical Nutrition, vol. 90, no. 6, pp. 1656–1664, 2009. View at: Publisher Site | Google Scholar
  100. Z. Hassanali, B. N. Ametaj, C. J. Field, S. D. Proctor, and D. F. Vine, “Dietary supplementation of n-3 PUFA reduces weight gain and improves postprandial lipaemia and the associated inflammatory response in the obese JCR:LA-cp rat,” Diabetes, Obesity and Metabolism, vol. 12, no. 2, pp. 139–147, 2010. View at: Publisher Site | Google Scholar
  101. I. Aeberli, N. Beljean, R. Lehmann, D. L'Allemand, G. A. Spinas, and M. B. Zimmermann, “The increase of fatty acid-binding protein aP2 in overweight and obese children: interactions with dietary fat and impact on measures of subclinical inflammation,” International Journal of Obesity, vol. 32, no. 10, pp. 1513–1520, 2008. View at: Publisher Site | Google Scholar
  102. I. Aeberli, L. Molinari, G. Spinas, R. Lehmann, D. l'Allemand, and M. B. Zimmermann, “Dietary intakes of fat and antioxidant vitamins are predictors of subclinical inflammation in overweight Swiss children,” American Journal of Clinical Nutrition, vol. 84, no. 4, pp. 748–755, 2006. View at: Google Scholar
  103. J. A. Alvarez, P. B. Higgins, R. A. Oster, J. R. Fernandez, B. E. Darnell, and B. A. Gower, “Fasting and postprandial markers of inflammation in lean and overweight children,” American Journal of Clinical Nutrition, vol. 89, no. 4, pp. 1138–1144, 2009. View at: Publisher Site | Google Scholar
  104. J. W. Rankin and A. D. Turpyn, “Low carbohydrate, high fat diet increases C-reactive protein during weight loss,” Journal of the American College of Nutrition, vol. 26, no. 2, pp. 163–169, 2007. View at: Google Scholar
  105. A. T. Peairs and J. W. Rankin, “Inflammatory response to a high-fat, low-carbohydrate weight loss diet: effect of antioxidants,” Obesity, vol. 16, no. 7, pp. 1573–1578, 2008. View at: Publisher Site | Google Scholar
  106. I. S. Lee, G. Shin, and R. Choue, “Shifts in diet from high fat to high carbohydrate improved levels of adipokines and pro-inflammatory cytokines in mice fed a high-fat diet,” Endocrine Journal, vol. 57, no. 1, pp. 39–50, 2010. View at: Publisher Site | Google Scholar
  107. R. Burcelin, E. Luche, M. Serino, and J. Amar, “The gut microbiota ecology: a new opportunity for the treatment of metabolic diseases?” Frontiers in Bioscience, vol. 14, pp. 5107–5117, 2009. View at: Google Scholar
  108. F. Bäckhed, J. K. Manchester, C. F. Semenkovich, and J. I. Gordon, “Mechanisms underlying the resistance to diet-induced obesity in germ-free mice,” Proceedings of the National Academy of Sciences of the United States of America, vol. 104, no. 3, pp. 979–984, 2007. View at: Publisher Site | Google Scholar
  109. P. D. Cani and N. M. Delzenne, “Interplay between obesity and associated metabolic disorders: new insights into the gut microbiota,” Current Opinion in Pharmacology, vol. 9, no. 6, pp. 737–743, 2009. View at: Publisher Site | Google Scholar
  110. P. D. Cani and N. M. Delzenne, “The role of the gut microbiota in energy metabolism and metabolic disease,” Current Pharmaceutical Design, vol. 15, no. 13, pp. 1546–1558, 2009. View at: Publisher Site | Google Scholar
  111. R. E. Ley, “Obesity and the human microbiome,” Current Opinion in Gastroenterology, vol. 26, no. 1, pp. 5–11, 2010. View at: Publisher Site | Google Scholar
  112. F. Armougom, M. Henry, B. Vialettes, D. Raccah, and D. Raoult, “Monitoring bacterial community of human gut microbiota reveals an increase in Lactobacillus in obese patients and Methanogens in anorexic patients,” PLoS ONE, vol. 4, no. 9, article e7125, 2009. View at: Publisher Site | Google Scholar
  113. R. C. Morris Jr., O. Schmidlin, L. A. Frassetto, and A. Sebastian, “Relationship and interaction between sodium and potassium,” Journal of the American College of Nutrition, vol. 25, no. 3, pp. 262S–270S, 2006. View at: Google Scholar
  114. A. Papathanasopoulos and M. Camilleri, “Dietary fiber supplements: effects in obesity and metabolic syndrome and relationship to gastrointestinal functions,” Gastroenterology, vol. 138, no. 1, pp. 65–72, 2010. View at: Publisher Site | Google Scholar
  115. M. A. Beydoun, T. L. Gary, B. H. Caballero, R. S. Lawrence, L. J. Cheskin, and Y. Wang, “Ethnic differences in dairy and related nutrient consumption among US adults and their association with obesity, central obesity, and the metabolic syndrome,” American Journal of Clinical Nutrition, vol. 87, no. 6, pp. 1914–1925, 2008. View at: Google Scholar
  116. P. D. Cani, S. Possemiers, and S. Possemiers, “Changes in gut microbiota control inflammation in obese mice through a mechanism involving GLP-2-driven improvement of gut permeability,” Gut, vol. 58, no. 8, pp. 1091–1103, 2009. View at: Publisher Site | Google Scholar

Copyright © 2010 Rosário Monteiro and Isabel Azevedo. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Related articles

No related content is available yet for this article.
 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles

No related content is available yet for this article.

Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.