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Obesity: Special Feature |
Center for Human Nutrition, University of Texas, Southwestern Medical Center, Dallas, Texas 75390
Address all correspondence and requests for reprints to: Scott M. Grundy, M.D., Ph.D., Center for Human Nutrition, University of Texas, Southwestern Medical Center, Dallas, Texas 75390.
| Introduction |
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That obesity extracts a social cost is well recognized. The costs in physical health are less well recognized by the general public. The foremost physical consequence of obesity is atherosclerotic cardiovascular disease (ASCVD) (1). A substantial portion of the ASCVD resulting from obesity is mediated by type 2 diabetes. But obesity is accompanied by several other risk factors for ASCVD. The sum of the risk factors that predisposes to ASCVD goes by the name of metabolic syndrome. In addition, obesity is accompanied by other medical complications other than ASCVD and diabetes; these include fatty liver, cholesterol gallstones, sleep apnea, osteoarthritis, and polycystic ovary disease. These disorders are commonly found in individuals who carry the metabolic syndrome.
Obesity can be called an underlying risk factor for cardiovascular disease (ASCVD) (2). It is called this because it raises the risk for ASCVD through other risk factors. The latter include the major risk factors (hypercholesterolemia, hypertension, hyperglycemia) and emerging risk factors (atherogenic dyslipidemia, insulin resistance, proinflammatory state, prothrombotic state). The relationship of obesity to major and emerging risk factors varies, depending on the genetic and acquired characteristics of individuals. The majority of obese persons who develop ASCVD typically have a clustering of major and emerging risk factors (metabolic syndrome). The constellation of major and emerging risk factors that make up the metabolic syndrome can be called metabolic risk factors (3). This article will first examine the variable characteristics of obesity; this will be followed by an examination of the relation of obesity to the metabolic syndrome; and finally, the relation of the metabolic syndrome to ASCVD will be reviewed.
| Categories of obesity |
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30 kg/m2) are called obesity (4). A better way to define obesity would be in terms of percent total body fat (4). This can be measured by several methods (skin-fold thickness, bioelectrical impedance, underwater weighing). In terms of percent body fat, obesity can be defined as 25% or greater in men and 35% or greater in women. The measurement of percent body fat is rarely used in clinical practice, however, because of inconvenience and cost. The best way to estimate obesity in clinical practice is to measure waist circumference. This is because an excess of abdominal fat is most tightly associated with the metabolic risk factors. In the United States, abdominal obesity is defined as a waist circumference in men of 102 cm or more and in women of 88 cm or more (4). In other countries, lesser increases in waist circumferences have been associated with metabolic risk factors, and other standards are in use.
Abdominal fat is located in two major compartments: sc and ip (visceral). The latter consists of the fat of the omentum and mesentery. The fatty acids released by visceral fat drains into the portal circulation. Some investigators (5) believe that an excess of visceral fat (visceral obesity) is more strongly related to metabolic risk factors than any other fat compartment. Subcutaneous adipose tissue nonetheless is a much larger compartment than visceral fat. The latter usually is divided into gluteofemoral and truncal sc adipose tissue. Truncal fat is more strongly related to metabolic risk factors than gluteofemoral fat (4). Moreover, truncal sc fat may have a greater impact on risk factors than does visceral fat because of its greater mass (6, 7). Several terms have been applied to excess fat in the trunk: abdominal obesity, truncal obesity, and upper body obesity. In fact, there is a strong correlation between waist circumference and upper body fat content. Hence because an increased girth is most readily recognized clinically, the term abdominal obesity is useful and satisfactory (2, 4).
| Body fat and metabolic syndrome |
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Many of these factors can be identified through special testing but are not measured in clinical practice. Recently the National Cholesterol Education Program Adult Treatment Panel III report (2) proposed a simple scheme for the routine diagnosis of metabolic syndrome. According to this scheme, a diagnosis of metabolic syndrome can be made if a person has three of the following five features:
102 cm in men and
88 cm in women)
150 mg/dl)
130/85 mm Hg or on treatment for hypertension)
100 mg/dl) When the waist circumference is 102 cm or more in men or 88 cm or more in women, the term abdominal obesity can be applied. The advantage of measuring waist circumference is that an excess abdominal fat is correlated more closely with the presence of metabolic risk factors than total body fat. The cut points for defining abdominal obesity are arbitrary. For susceptible individuals, lesser accumulations of abdominal fat can precipitate or aggravate metabolic risk factors. This is particularly so in certain populations; for example, in Asian populations lower waist circumference cut points have been identified to define abdominal obesity.
Patients with diabetes (fasting glucose
126 mg/dl) are said to have the metabolic syndrome if two other features are present. If a person qualifies for the metabolic syndrome under Adult Treatment Panel III criteria, measurement of a 2-h postprandial glucose may uncover a diagnosis of diabetes (2-h glucose
200 mg/dl) or impaired glucose tolerance (IGT) (2-h glucose 140199 mg/dl) (1). The presence of IGT indicates an increased risk for type 2 diabetes (8). Additional testing can provide confirmation of the metabolic syndrome. Confirmatory biomarkers for this syndrome include high levels of fasting insulin, 2-h postprandial insulin, apo B, increased small LDL particles, C-reactive protein (CRP), fibrinogen, and plasminogen activator inhibitor (PAI)-1. The clinical utility of detecting these additional abnormalities beyond confirmation of the syndrome is uncertain, although investigations are underway to evaluate potential utility. For example, the presence of elevated CRP may indicate a greater risk for acute coronary syndromes (9).
A disputed area in the relation of obesity and metabolic syndrome concerns the role of insulin resistance. Most persons with multiple metabolic risk factors are insulin resistant. This observation led to the concept that insulin resistance is the cause of the metabolic syndrome (10). This concept in turn generated an alternative term for the metabolic syndrome, namely the insulin resistance syndrome (10). Various pathogenic schemes have been proposed to explain the connection between insulin resistance and metabolic risk factors. There is no doubt that insulin resistance is a risk factor for IGT and type 2 diabetes. A causal relationship between insulin resistance and other metabolic risk factors is less certain. Moreover, the interaction between obesity and defects in insulin signaling is so complex that it is so far not possible to disentangle the two. For example, obesity causes insulin resistance, whereas insulin resistance seemingly exacerbates the adverse effects of obesity. A strong case can be made for a role of genetic forms of insulin resistance being a contributor to the metabolic syndrome in the general population. On the other hand, there is little doubt that increasing prevalence of overweight/obesity is mainly responsible to the rising prevalence of the metabolic syndrome in the United States and worldwide (11).
Our understanding of the relation between obesity and metabolic risk factors is growing rapidly. This understanding is based on the discovery of multiple products released from adipocytes. In the presence of obesity, these products are released in abnormal amounts. Each of these products has been implicated in the causation of one or another of the metabolic risk factors. The following is a list of the factors most implicated in the development of metabolic syndrome (12):
Current concepts of the relation of each of these products to metabolic risk factors can be reviewed.
| NEFA. |
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Excessive influx of NEFAs into muscle leads to insulin resistance. The mechanisms whereby increased fatty acids in muscle cause insulin resistance have not been fully elucidated. Randle et al. (14) early postulated that excess fatty acids inhibit glucose oxidation (glucose-fatty acid cycle). Recent research (15) suggests that muscle levels of diacylglycerol are raised, which stimulates the serine phosphorylation of the insulin receptors and thereby inhibits normal insulin signaling. Other mechanisms have been proposed and may play a role (16). The resulting insulin resistance in muscle predisposes to hyperglycemia; the latter becomes clinically manifest in those persons to acquire a defect in insulin secretory capacity.
Influx of excess NEFAs into the liver increases the triglyceride content of the liver (fatty liver) (17). Fat accumulation in the liver seemingly produces insulin resistance as it does in muscle. Reduction in insulin action in liver allows for enhanced glyconeogenesis and increased hepatic glucose output; this will accentuate hyperglycemia in those patients who have reduced insulin secretory capacity. Increased fat in the liver also promotes development of atherogenic dyslipidemia. It provides a stimulus for increased formation and secretion of very LDL (VLDL) particles. The result is higher serum levels of triglyceride, apo B, and small LDL particles. High serum triglycerides reduce HDL-cholesterol concentrations through exchange of VLDL triglycerides with HDL cholesterol esters. HDL-cholesterol lowering is accentuated by an increase in synthesis of hepatic lipase that occurs in people with obesity-induced fatty liver; lipase degrades HDL particles, converting large HDL into small HDL.
An important but unresolved question is whether high NEFA levels contribute to higher blood pressure or a proinflammatory state. Hypotheses have been developed to link higher NEFA levels to higher blood pressures (18). Whether the link is causal remains to be determined. Moreover, accumulation of fat in the liver has been reported to be associated with increased hepatic synthesis of PAI-1, fibrinogen, and inflammatory cytokines, the key mediators of the prothrombotic and proinflammatory states (19).
| Inflammatory cytokines. |
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, IL-6, and other cytokines. The production of these cytokines is increased in obese persons. This increased synthesis may interfere with the action of insulin to suppress lipolysis; if so, this would represent insulin resistance of adipose tissue. Obese persons in addition have elevated circulating cytokines; so far, it is uncertain whether these circulating cytokines have systemic effects, i.e. promoting insulin resistance in muscle (15), increased synthesis of acute-phase reactants in the liver (CRP and fibrinogen), or activation of macrophages in atheromatous plaques (20). It is possible increased release of acute-phase reactants from liver may be the result entirely of lipid accumulation in this organ. | PAI-1. |
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| Other adipose tissue products. |
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| Obesity-induced metabolic syndrome as a multidimensional risk factor for ASCVD and type 2 diabetes |
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| Atherogenic dyslipidemia. |
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For many years triglyceride-rich lipoproteins (TGRLPs) were thought not to be atherogenic. Nonetheless, there is growing evidence that smaller TGRLP (remnant lipoproteins) are in fact atherogenic (29). This evidence comes from studies in laboratory animals, patients with genetic disorders causing remnant accumulation, metaanalysis of epidemiological studies, and clinical trials (1). TGRLPs as a class are a mixture of lipoproteins, and it has been difficult to differentiate between atherogenic and nonatherogenic forms of TGRLPs. Nonetheless, there is a growing consensus among investigators that TGRLP fraction definitely contains atherogenic lipoproteins.
The LDL particles associated with the metabolic syndrome and atherogenic dyslipidemia tend to be small and dense. A theory widely held is that smaller LDL particles are more atherogenic than larger LDLs (30). Smaller LDLs may filter more readily into the arterial wall. They further may be more prone to atherogenic modification. Even so, not all investigations are convinced that small LDL particles are unusually atherogenic, compared with other apo B-containing lipoproteins. Nonetheless, when small LDLs are present, the total number of lipoprotein particles in the LDL fraction usually is increased (31). Most researchers will agree that the higher the number of LDL particles present, the higher will be the atherogenic potential. In other words, small LDL particles are often a surrogate for an increased LDL particle number (31).
A simple strategy for assessing the sum of atherogenic particles is measurement of either LDL+VLDL cholesterol (non-HDL cholesterol) or total apo B (2). In persons with metabolic syndrome and atherogenic dyslipidemia, both LDL+VLDL cholesterol and total apo B typically are elevated. These measurements should be used increasingly both in risk assessment and as targets of therapy in persons with the metabolic syndrome (32).
A low HDL level is another characteristic of atherogenic dyslipidemia (2). As a risk predictor, a low HDL rivals an elevated total apo B (or VLDL+LDL cholesterol). This fact has led to the concept that HDL is intimately involved in the atherogenic process. The theories abound as to the mechanisms whereby HDL is antiatherogenic, e.g. enhanced reverse cholesterol transport, antiinflammatory properties, ability to protect against LDL modification, among others. Although HDL in fact may be directly antiatherogenic, it also is a marker for the presence of other lipid and nonlipid risk factors. Obesity itself reduces HDL levels (4), and obese patients with metabolic syndrome and atherogenic dyslipidemia almost always have low HDL levels. Thus, the association between low HDL and ASCVD risk is complex (2), and the various components of this association are difficult to differentiate. Regardless of mechanism, however, the presence of a low HDL level carries strong predictive power for development of ASCVD.
| Elevated blood pressure. |
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| Elevated plasma glucose. |
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A variety of mechanisms have been proposed whereby hyperglycemia might promote atherosclerosis (38). Examples include nonenzymatic glycosylation of lipids and proteins, pathogenic effects of advanced glycation products, increased oxidative stress, activation of protein kinase C, and microvascular disease of the vasa vasorum of the coronary arteries. All of these potential mechanisms are of interest, but so far, none has been shown to play a direct role in atherogenesis; most likely all are involved in one way or another. But a fundamental question remains to be answered, namely whether hyperglycemia is directly atherogenic.
Another possibility is that insulin resistance per se is independently atherogenic. In prospective studies, the presence of insulin resistance is associated with increased ASCVD risk (39). But in persons with insulin resistance, confounding by other known risk factors makes it difficult to be certain that insulin resistance (or resulting hyperinsulinemia) is directly atherogenic (39). If so, the mechanisms for such an effect are entirely speculative at this time.
| Prothrombotic state. |
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| Proinflammatory state. |
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| Summary |
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| Footnotes |
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Received February 25, 2004.
Accepted March 15, 2004.
| References |
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I. Ferreira, R. M. A. Henry, J. W. R. Twisk, W. van Mechelen, H. C. G. Kemper, and C. D. A. Stehouwer The Metabolic Syndrome, Cardiopulmonary Fitness, and Subcutaneous Trunk Fat as Independent Determinants of Arterial Stiffness: The Amsterdam Growth and Health Longitudinal Study Arch Intern Med, April 25, 2005; 165(8): 875 - 882. [Abstract] [Full Text] [PDF] |
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R. Menghini, V. Marchetti, M. Cardellini, M. L. Hribal, A. Mauriello, D. Lauro, P. Sbraccia, R. Lauro, and M. Federici Phosphorylation of GATA2 by Akt Increases Adipose Tissue Differentiation and Reduces Adipose Tissue-Related Inflammation: A Novel Pathway Linking Obesity to Atherosclerosis Circulation, April 19, 2005; 111(15): 1946 - 1953. [Abstract] [Full Text] [PDF] |
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R. Vettor, R. Serra, R. Fabris, C. Pagano, and G. Federspil Effect of Sibutramine on Weight Management and Metabolic Control in Type 2 Diabetes: A meta-analysis of clinical studies Diabetes Care, April 1, 2005; 28(4): 942 - 949. [Abstract] [Full Text] [PDF] |
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J. L. Chan, J. Bullen, V. Stoyneva, A. M. DePaoli, C. Addy, and C. S. Mantzoros Recombinant Methionyl Human Leptin Administration to Achieve High Physiologic or Pharmacologic Leptin Levels Does Not Alter Circulating Inflammatory Marker Levels in Humans with Leptin Sufficiency or Excess J. Clin. Endocrinol. Metab., March 1, 2005; 90(3): 1618 - 1624. [Abstract] [Full Text] [PDF] |
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D. C. Chan, G. F. Watts, T. W.K. Ng, Y. Uchida, N. Sakai, S. Yamashita, and P. H. R. Barrett Adiponectin and other Adipocytokines as Predictors of Markers of Triglyceride-Rich Lipoprotein Metabolism Clin. Chem., March 1, 2005; 51(3): 578 - 585. [Abstract] [Full Text] [PDF] |
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S. B. Seidelmann, C. De Luca, R. L. Leibel, J. L. Breslow, A. R. Tall, and C. L. Welch Quantitative Trait Locus Mapping of Genetic Modifiers of Metabolic Syndrome and Atherosclerosis in Low-Density Lipoprotein Receptor-Deficient Mice: Identification of a Locus for Metabolic Syndrome and Increased Atherosclerosis on Chromosome 4 Arterioscler Thromb Vasc Biol, January 1, 2005; 25(1): 204 - 210. [Abstract] [Full Text] [PDF] |
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H. Wassef, L. Bernier, J. Davignon, and J. S. Cohn Synthesis and Secretion of ApoC-I and ApoE during Maturation of Human SW872 Liposarcoma Cells J. Nutr., November 1, 2004; 134(11): 2935 - 2941. [Abstract] [Full Text] [PDF] |
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