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Obesity: Special Feature |
Département de Nutrition, Unité Métabolique, Université de Montréal, Montréal, Québec, Canada H3T 1A8
Address all correspondence and requests for reprints to: Dr. Antony D. Karelis, Unité Métabolique, Département de Nutrition, Université de Montréal, 2405 Chemin Cote Ste-Catherine, Pavillon Liliane de Stewart, Montréal, Québec, Canada H3T 1A8. E-mail: antony.karelis{at}umontreal.ca.
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| Introduction |
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One prominent issue in the obesity field is gaining a greater understanding of the subtypes of obesity. A greater understanding of obesity subtypes may eventually be useful in guiding primary and secondary prevention treatment efforts. One of the major challenges in this field, however, has been the inability of investigators to adequately determine or characterize factors that distinguish one subtype of obese individual from another. These issues have broad implications for the clinical treatment of obesity, medical and nutritional education efforts for health care professionals, and even the selection of patients for research protocols.
Interestingly, all obese individuals do not display a clustering of metabolic and cardiovascular risk factors. Moreover, all lean individuals do not present with a healthy metabolic and disease-free profile. In the 1980s, several investigators (2, 3, 4, 5) began to identify the existence of different subtypes of obesity. Although the existence of these different subtypes of obesity has been described, the metabolic and body composition factors and prevalence of obesity-related diseases such as cardiovascular disease are presently poorly understood. Therefore, the purpose of this review was to examine the roles of metabolic, body composition, and cardiovascular disease risk in two subtypes of obesity.
| The metabolically healthy, but obese (MHO), individual |
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These valuable studies stimulated additional smaller scale research in the area in which a larger battery of phenotypes was examined in the MHO individual. Questions remained about whether there were other metabolic phenotypes that may be unique to the MHO individual and potentially provide clues to their protective profile. For example, work by Brochu et al. (9) extended our knowledge of the roles of other phenotypes, including, body composition, body fat distribution, and energy expenditure, in the profile of the MHO individual. In this study MHO subjects were classified based on a cut-off point for insulin sensitivity using the hyperinsulinemic/euglycemic clamp (>8.0 mg/min·kg lean body mass) and obese at risk subjects with impaired insulin sensitivity (<8.0 mg/min·kg lean body mass). It is well recognized that insulin resistance develops on a continuum; thus one can argue with the imperfect use of cut-off points to differentiate high vs. low insulin sensitivity phenotypes. Nonetheless, the use of the clamp to initially identify the MHO individual is logical given the importance of insulin action in the metabolic syndrome. Metabolic phenotypes in 43 sedentary, obese, postmenopausal women (5070 yr old) were analyzed, and 17 of the 43 subjects were identified as being MHO. After categorization of these individuals, the question was whether other phenotypes tracked with the insulin sensitivity values.
Despite similar levels of total body fatness in MHO and at risk obese postmenopausal women, MHO individuals showed 49% less visceral adipose tissue (as measured from computed tomography) than at risk subjects with the metabolic syndrome. It should be noted that the levels of visceral fat in the MHO group were still significant (141 ± 53 cm2), albeit less than those in the at risk group. Consistent with these findings, MHO women showed a more favorable lipid profile, as evidenced by lower fasting triglycerides, higher high density lipoprotein (HDL) cholesterol, lower fasting glucose and insulin concentrations, and reduced glucose and insulin area under the curve after an oral glucose tolerance test (Table 1
). Interestingly, in stepwise regression analysis, in which glucose disposal was the dependent variable, visceral adipose tissue explained the most unique variance (22%). This finding is in line with other studies that suggested that the amount of visceral fat is an important factor associated with variations in insulin sensitivity (11, 12) and thus is not totally surprising. The second independent variable that was associated with a more favorable metabolic profile in the MHO individual in the study by Brochu et al. (9) was an earlier onset of obesity (<20 yr of age). This variable explained 13% of the variation observed in insulin sensitivity. This finding is supported by results reported by Muscelli et al. (13), who showed a positive association between duration of obesity and variation in insulin sensitivity. Thus, an explanation for this finding may be that with increased duration of obesity (i.e. childhood onset) some compensatory metabolic adaptations may be operative that would serve to preserve normal levels of insulin sensitivity. In support of this idea, Muscelli et al. (13) suggested that the interplay between primary insulin hypersecretion (driven by central nervous stimuli) and secondary insulin hypersecretion (the part that is compensatory to insulin resistance) could adapt as a function of time.
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Several other studies have investigated obese individuals with a favorable metabolic profile (14, 15, 16). For example, in a recent study (14), nonobese or obese Japanese subjects with normal visceral fat area had a significant decrease in multiple risk factors related to obesity compared with subjects with high visceral fat area. This finding underscores the idea that even in the face of high levels of total body fat, lower levels of visceral fat may confer some metabolic advantages. This study suggested that 100 cm2 of visceral fat area is a reasonable cut-off point as an indicator to risk disorders related to obesity in Japanese individuals. In contrast, Despres and Lamarche (17) suggested that a visceral fat accumulation greater than 130 cm2 could be associated with a decrease in insulin sensitivity. In addition, Matsuzawa (15) reported evidence that Japanese Sumo wrestlers could be described as metabolically healthy due to normal amounts of visceral adipose tissue and lipid levels despite consuming 50007000 kcal/d. However, upon retirement from their wrestling profession, metabolic abnormalities developed in these Japanese Sumo wrestlers, such as increased insulin resistance, due potentially to a significant decrease in physical activity. Unfortunately, the amount of visceral adipose tissue after retirement was not reported in this study.
Interestingly, a recent study expanded the cardiovascular profile characterization in MHO individuals (16). Oflaz et al. (16) examined vascular endothelial function (as measured by flow-mediated dilation), intima media thickness of the common carotid, and anthropometric/metabolic parameters in MHO and lean individuals. In this study, intima media thickness of the common carotid was significantly higher, and flow-mediated dilation was significantly lower in MHO individuals despite a normal metabolic profile. Also in that study, lipid profile, blood pressure, insulin sensitivity (homeostasis model assessment), and anthropometric measurements could not explain the flow-mediated dilation or intima media thickness in the MHO and lean individuals. In addition, early atherosclerotic changes in MHO individuals are evident compared with healthy lean individuals, suggesting that factors other than obesity-related risks could be responsible for this observation. Thus, it is not our intention to convey the idea that MHO individuals are at an optimal state of health, as evidenced by the work of Oflaz et al. (16). A more prudent statement would be that MHO individuals are at a lower risk than at risk obese individuals, but at a higher risk than the general population.
Visceral fat has been associated with a decrease in insulin sensitivity, which could lead to an increase risk of cardiovascular disease (18). The higher levels of insulin sensitivity in MHO individuals may be due in part to lower amounts of visceral fat despite the presence of large amounts of total body fatness. Further investigations may want to consider the examination of adipocytes as a source of potential differences in insulin sensitivity. Larger adipocytes have been associated with an increase in insulin resistance (19), and normal size adipocytes have been associated with early onset of obesity (5). Therefore, the measurement of cell size and number in adipose tissue could indicate whether there is an increased number of normal sized adipocytes in MHO individuals and, in turn, could explain at least in part the higher insulin sensitivity observed in MHO individuals. Future research is needed to clarify this hypothesis.
| The metabolically obese, but normal weight (MONW), individual |
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Dvorak et al. (21) examined phenotypic characteristics associated with the MONW individual in young women (Table 2
). MONW subjects were classified based on a cut-off point for insulin sensitivity using the hyperinsulinemic/euglycemic clamp (<8.0 mg/min·kg lean body mass) and normal subjects with high insulin sensitivity (>8.0 mg/min·kg lean body mass). In this study BMI, body mass, and fat-free mass were not significantly different between groups. Despite no differences in BMI, differences in body composition and body fat distribution were noted. That is, total fat mass (+20%), body fat percentage (+16%), and sc fat (+33%) as well as visceral fat (+26%) were all significantly higher in the MONW individual.
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Similar results were observed in a recent study from our laboratory (unpublished) indicating that young MONW women, despite having normal BMI, showed distinct differences in body composition compared with healthy normal young women. In this study MONW women showed a higher relative fat mass, a lower fat-free mass, and a tendency for greater central fat mass. In addition, MONW women showed significantly higher total cholesterol and low density lipoprotein cholesterol levels, but plasma triglycerides were similar in both groups. This could suggest that the percent body fat mass (even within a normal BMI range) may be predictive of reduced insulin sensitivity in MONW, young, normal weight women. Collectively, the relative level of body fatness may be an important first step to screen and identify MONW subjects. In addition, the researchers concluded that the higher fat mass in MONW women could be mediated indirectly by low cardiorespiratory fitness, as demonstrated by lower levels of the maximum rate of oxygen uptake (VO2max) and reduced physical activity energy expenditure as shown by low leisure time physical activity and greater time spent watching TV (Conus, F., D. B. Allison, R. Rabasa-Lhoret, M. St-Onge, D. H. St-Pierre, A. Tremblay-Lebeau, and E. T. Poehlman, unpublished observations). These findings suggest that physical inactivity may be an important marker of the MONW young woman in relation to body composition.
Several recent studies have investigated in more detail other metabolic disturbances in the MONW individual. For instance, excessive fat on the upper part of the body or abdomen, as measured by the waist to hip ratio, is associated with an increase risk of diabetes and cardiovascular disease (26). Indeed, there is evidence to suggest that young healthy men (27) and in young adults (28) who fit the description of the MONW individual show an increase in intraabdominal fat, and this is associated with a decrease in insulin sensitivity as well as an increased risk for cardiovascular disease. Finally, it may be hypothesized that MONW individuals have a decrease in fat storage in adipose tissue. This, in turn, could explain the increase in plasma triglycerides levels observed in the previous studies (22, 23). In addition, this could increase fat storage in nonphysiological depots such as liver and muscle. In support of this conclusion, Seppala-Lindroos et al. (29) indicated a higher content of fat accumulation in the liver in nonobese men who display high levels of plasma insulin and triglycerides as well as lower levels of HDL cholesterol. The researchers suggested that the increase in liver fat could be associated with a decrease in insulin sensitivity.
| Is there a role for adipose and gastrointestinal (GI) hormones in MHO and MONW individuals? |
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| Significance of the MHO and MONW subgroups in research and clinical medicine |
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Interesting future areas of investigation may want to target free fatty acid trapping (40). A greater understanding of the regulation of free fatty acid transport, storage, and utilization in MHO and MONW individuals would be valuable in identifying mechanisms that could regulate these subsets. In addition, genetic studies (using the microarray technique) will offer the possibility to engage in discovery-driven research. Simply put, is there a distinct profile of genes found in MHO and MONW individuals? Ultimately, after the gene expression is measured, one may attempt to identify those genes for which there is differential expression in MHO and at risk obese individuals as well as MONW and metabolically healthy individuals. This area of research could potentially broaden our knowledge of factors that predispose subtypes of obese individuals to develop metabolic complications.
| Footnotes |
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Abbreviations: BMI, Body mass index; GI, gastrointestinal; HDL, high density lipoprotein; MHO, metabolically healthy, but obese; MONW, metabolically obese, but normal weight.
Received February 2, 2004.
Accepted March 18, 2004.
| References |
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