About this Journal Submit a Manuscript Table of Contents
Mediators of Inflammation
Volume 2011 (2011), Article ID 253580, 7 pages
Research Article

Leptin, Adiponectin, and Obesity among Caucasian and Asian Women

University of Hawaii Cancer Center, Cancer Epidemiology Program, Honolulu, HI 96813, USA

Received 27 May 2010; Revised 3 November 2010; Accepted 11 January 2011

Academic Editor: Oreste Gualillo

Copyright © 2011 Shannon M. Conroy et al. 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.


Ethnic differences in adipose tissue distribution may contribute to different chronic disease risks across ethnic groups, and adipokines may mediate the risk. In a cross-sectional study, we examined ethnic differences in adipokines and inflammatory markers as related to body mass index (BMI) among 183 premenopausal women with Caucasian and Asian ancestry. General linear models were used to estimate adjusted mean levels of leptin, adiponectin, interleukin-6, and C-reactive protein (CRP). Asian women had significantly lower serum levels of leptin, adiponectin, and CRP than Caucasian participants ( ) across all levels of BMI. Among overweight and obese women, Asians showed a stronger association of CRP with leptin ( versus ) and with adiponectin ( versus ) than Caucasians. Compared to Caucasians of similar BMI, Asians may experience a higher chronic disease risk due to lower levels of adiponectin despite their lower levels of leptin.

1. Introduction

Accumulating epidemiologic evidence suggests that the effect of obesity on chronic disease risk differs by ethnicity [1]. Asians experience a higher risk for hypertension, diabetes, and cardiovascular disease at lower levels of body mass index (BMI) compared to Caucasians [13]. For example, Japanese Americans experience a 2-fold higher diabetes risk than Caucasians, with higher risk at all BMI levels [3]. Ethnic differences in body composition and adipose tissue distribution may explain the significant interaction of ethnicity and BMI on chronic disease risk. Particularly, a higher proportion of abdominal visceral relative to subcutaneous adiposity among Asians than Caucasians [4, 5] may be responsible for insulin resistance and other adverse metabolic health effects [6, 7]. Biomarkers linking adiposity, inflammation, and disease, such as C-reactive protein (CRP) and interleukin-6 (IL-6), have been investigated [8]; however, no biomarker has been identified that is associated with the ethnic heterogeneity in chronic disease risk.

Adipocyte-derived hormones, leptin and adiponectin, are likely candidates for elucidating the biological mechanisms underlying ethnic differences in disease risk. Leptin and adiponectin respond to increasing adiposity in a reciprocal manner [9], and the plasma leptin to adiponectin ratio may be a potential measure of insulin resistance [10]. It is unclear whether leptin and adiponectin are specific biomarkers for adipose tissue distribution; however, it appears that adiponectin concentrations are predominantly determined by visceral and leptin by subcutaneous adipose tissue [11]. Released by adipose tissue after insulin stimulation [12], leptin may serve as a possible link between nutritional status and immune function [13]. Adiponectin possesses strong anti-inflammatory, antiatherogenic, and insulin-sensitizing properties [14, 15]. Low adiponectin is an independent predictor of incident type 2 diabetes [16] and cardiovascular disease [17]. Furthermore, lower adiponectin levels have been observed in Chinese, Japanese, Korean, and South Asians compared to Caucasians [1821].

The objective of this study was to determine whether there are ethnic differences in serum leptin and adiponectin levels relative to BMI and their impact on inflammatory markers as predictive factors for future chronic disease [22] among premenopausal women of Asian American, Caucasian, and Native Hawaiian background. Specifically, we hypothesized that adipokine levels may link obesity with inflammatory markers.

2. Materials and Methods

2.1. Study Design

This analysis used data from a nutritional intervention study [23]. The University of Hawaii Committee on Human Studies and the Kaiser Permanente Institutional Review Board approved the study protocol. All participants were recruited through mailed invitations from mammographic screening clinics on the island of Oahu, Hawaii. Eligible women had a normal screening mammogram and regular menstrual cycles. All subjects signed an informed consent form and gave written permission to use frozen samples for future analyses. In the nutritional intervention trial, 220 premenopausal women aged 35–47 years were randomized to a soy diet or to the control group as described previously. Women were excluded for use of oral contraceptives or other sex hormones, diagnosis of cancer, hysterectomy, no intact ovary or no regular menstrual periods, or high soy intake. Data obtained from baseline serum samples were used in the current investigation; BMI and biomarkers were available for 183 women. Ethnic background was self-reported and when possible women of mixed ancestry were assigned to one ethnic category with Native Hawaiian having the highest priority.

2.2. Analytical Methods

Serum levels of leptin, adiponectin, and IL-6 were assessed by double-antibody enzyme-linked-immunosorbent-assay (ELISA) (R&D Systems, Minneapolis, MN, USA) according to the manufacturer’s specifications. The CRP assay was based on a latex particle-enhanced immunoturbidimetric method using a kit (Pointe Scientific, Inc, Lincoln Park, MI, USA) and a Cobas Mira Plus clinical autoanalyzer. The assay quality was assessed by 49 blinded controls from a pooled sample donated by 10 premenopausal volunteers. The mean intrabatch coefficient of variation (CV) for leptin, adiponectin, IL-6, and CRP were 4.6%, 14.0%, 6.8%, and 6.1%, whereas interbatch CVs were 9.5%, 24.9%, 17.8%, and 18.2%, respectively. The higher intra- and interbatch CVs with adiponectin were attributable to less precise measures because the studies samples contained a lower range of the standard curve for the assay.

2.3. Statistical Analysis

The primary goal of these analyses was to determine any ethnic differences in measured biomarkers (leptin, adiponectin, IL-6, and CRP) for women with similar BMI. Secondary analyses included evaluating ethnic-specific models to examine the relation of leptin and adiponectin with CRP. Leptin, adiponectin, CRP, and IL-6 were log transformed to normalize their distributions. General linear models were applied to estimate mean levels for biomarkers by ethnicity or BMI category and differences in mean values were made using Tukey’s Test for multiple comparisons. Our ethnic-specific analyses focused on differences between Asians and Caucasian women due to the small sample size for Native Hawaiian/Other women. Models were adjusted for BMI (continuous) and/or ethnicity (Asian, Caucasian, Native Hawaiian/Other) as appropriate. The fit of the models was assessed using and residual diagnostics. Statistical computing was conducted using SAS version 9.2 (SAS Institute Inc., Cary, NC, USA).

3. Results

3.1. Ethnic Differences in Biomarkers

The participants were of diverse ethnicity: 67 Caucasian, 23 Native Hawaiian, 49 Japanese, 14 Chinese, 11 Filipino, and 19 mixed/other ethnicities. Japanese, Chinese, and Filipino women were combined into one group (Asians) due to small sample sizes. The mean age of the study population was 43.0 ± 2.9 years and did not differ across ethnic groups ( ). Close to half of the women (49%) were overweight or obese, with substantial ethnic differences in BMI and measures of adiponectin, leptin, IL-6, and CRP (Table 1). BMI was lower among Asians than in the two other ethnic groups ( ). Mean levels of leptin, IL-6, and CRP were significantly lower in Asian than in Caucasian women, but the Native Hawaiian/Other group did not differ from Caucasians. Adiponectin was also lower in Asian ( ) and in Native Hawaiian/Other women ( ) than in Caucasians. The leptin to adiponectin ratio did not differ across ethnic groups ( ).

Table 1: Study participant characteristics by ethnicity.
3.2. Differences in Biomarkers by BMI

Mean leptin levels were significantly higher in overweight and obese relative to normal weight women (geometric means: 18.0 and 34.8 versus 8.8 ng/mL, respectively; ). The relation was reversed for adiponectin with significantly lower levels in overweight and obese women; geometric means for normal weight, overweight, and obese women were 8.3, 6.3, and 5.6 μg/mL, respectively ( ). Among overweight and obese women, Asian women had lower serum levels of both leptin (Figure 1(a)) and adiponectin (Figure 1(b)), while in women with normal BMI, Asians had lower levels of adiponectin but similar levels of leptin, as compared with Caucasians. No ethnic differences were observed for the leptin to adiponectin ratio irrespective of BMI (Figure 1(c)). Greater ethnic differences were observed in overweight and obese women for IL-6 (Figure 1(d)) and CRP (Figure 1(e)) than normal weight women.

Figure 1: Ethnic difference in the biomarkers by BMI level. Abbreviations: BMI: body mass index; IL-6: Interleukin-6; CRP: C-reactive protein. a values for ethnic heterogeneity from analysis of variance with log transformed values and adjusted for BMI categories.
3.3. Associations with CRP

A stronger correlation with CRP was observed for leptin than for adiponectin ( , versus , ). CRP remained positively associated with leptin and inversely associated with adiponectin after adjustment for BMI and ethnicity (Table 2); only the association with leptin reached statistical significance. In stratified models by BMI group, leptin remained statistically significant with similar magnitude of association with CRP, however, a statistically significant inverse association with adiponectin was only observed in overweight and obese women. In ethnic-specific models, among overweight and obese women we observed a stronger association with CRP for leptin (β = 1.34 versus β = 0.64) and for adiponectin (β = −0.95 versus β = −0.75) in Asian than Caucasian women; however, the modification by ethnicity was not statistically significant (P for interaction of leptin or adiponectin with ethnicity on CRP: 0.21 for leptin and 0.74 for adiponectin).

Table 2: Association of leptin and adiponectin with CRP by ethnicitya.

4. Discussion

Using baseline data from a nutritional intervention study in premenopausal women, the authors found ethnic differences in levels of adipokines and inflammatory markers with variation by BMI. Significantly lower leptin levels and consistently lower levels of the inflammatory markers CRP and IL-6 were observed in Asians than in Caucasians among overweight and obese, but not normal weight women. In contrast, adiponectin levels were lower for Asian than Caucasian women across the range of BMIs. Because lower plasma adiponectin levels and higher leptin, CRP, and IL-6 levels are associated with metabolic disorders [16, 24, 25], our findings suggest that the higher risk of chronic disease among Asians compared to Caucasians, particularly within the normal-weight range, may be in part due to lower adiponectin rather than leptin levels or proinflammatory marker levels. Overall, leptin was a strong predictor of CRP independent of BMI, whereas adiponectin was inversely associated with CRP in overweight and obese women only. Of interest, in overweight and obese women, Asians showed stronger associations for CRP with leptin and adiponectin compared to Caucasians. The findings support the hypothesis that leptin and adiponectin link adipose tissue with inflammation and suggest that adiponectin may play a role in the elevated risk for chronic disease despite lower BMI and leptin levels in Asian women.

Consistent with findings from the present study, lower serum adiponectin levels independent of BMI have been observed in women of Chinese [18], Korean [19], and South Asian [18, 21] ancestry than in Caucasian women. Low adiponectin levels are associated with abnormal glucose homeostasis, abnormal lipid metabolism, and insulin resistance in normal and in overweight or obese women [26, 27]; however, it is unclear whether low adiponectin levels mediate higher disease risk in Asians compared to Caucasians with comparable BMI [18, 21]. Because a clustering of increased metabolic, adipogenic, and proinflammatory factors are associated with lower adiponectin levels [28], complex multifactorial mechanisms of many contributing mediators may be involved rather than any single mechanism. One hypothesis is that higher proportions of abdominal visceral relative to subcutaneous adiposity among Asians than Caucasians [4, 5] may account for the observed lower levels of adiponectin in Asian women as serum adiponectin levels are determined predominantly by visceral rather than subcutaneous adipose tissue [11, 29]. The accumulation of visceral adiposity is associated with metabolic risk factors for diabetes and cardiovascular disease [30] and adiponectin may be an important mediator [31, 32].

The finding that leptin is a stronger predictor of CRP than adiponectin is consistent with other studies [33, 34]. Proinflammatory cytokines, primarily IL-6 but also other cytokines including tumor necrosis factor-α (TNF-α), regulate the hepatic synthesis of CRP [35]. Adipose tissue represents a common source for both leptin and these inflammatory cytokines, which are secreted by adipocytes [36, 37] and macrophages residing in adipose tissue [38]. In this and other studies in apparently healthy women [39, 40], leptin predicted CRP levels independent of BMI, suggesting that adipose tissue only partially mediates the leptin-CRP association, and alternative pathways unrelated to general adiposity may be involved. For example, leptin may upregulate CRP levels by directly inducing IL-6 production [41] and by the leptin receptor, which has been shown to have intracellular signaling capabilities of IL-6-type cytokine receptors [42]. On the other hand, adiponectin may indirectly reduce CRP levels by inhibiting TNF-α production and, therefore, modulating the proinflammatory cascade that mediates CRP production [43]. In this study, adiponectin was inversely associated with CRP in overweight and obese women only, whereas the adiponectin-CRP association was independent of BMI in previous studies among apparently healthy postmenopausal women [28] and women with type-2 diabetes [44]. However, adiponectin may have divergent prognostic implications depending on the population characteristics. Leptin and adiponectin were stronger predictors of CRP among Asian than Caucasian overweight and obese women, but not in overall BMI-adjusted models indicating that leptin and adiponectin link adipose tissue with inflammation and the underlying mechanisms may be heterogeneous across ethnic groups.

A limitation of the study is the possibility of a Type I error due to assessing multiple correlations with small numbers of measured serum variables; therefore, our results are explorative and hypothesis-generating only. Furthermore, the study included only a few women at the low and high extremes for BMI (i.e., <20 kg/m2 or >35 kg/m2). For example, the few Caucasians in the lower-normal range of BMI and the few Asians in the high BMI categories may explain the similar adiponectin levels in these extreme BMI categories. As with any cross-sectional design, the directionality of associations remains unclear. Also, we did not have measures of abdominal fat distribution (visceral versus subcutaneous) or total body fat and were unable to assess whether the addition of measures for visceral adiposity attenuated ethnic-specific associations. It is possible that leptin, CRP, or IL-6 levels may be confounded by ethnic differences in inflammatory or autoimmune conditions [45]; however, this is unlikely given that the women in this study were apparently healthy and relatively young. Additional outcome measures of interest that may have further elucidated the significance of lower adiponectin in Asian women with respect to metabolic markers include plasma glucose, insulin and lipid profiles, and visfatin, an adipocyte-derived protein predominantly found in visceral adipose tissue. Our findings contribute to the limited data available on apparently healthy premenopausal women of normal BMI. Additional strengths of our study include an ethnically diverse study population, well-controlled blood collection, and reliable assays.

In conclusion, we propose that lower adiponectin levels in Asian compared to Caucasian women may be attributed to higher amounts of visceral adipose tissue at any given level of total adiposity. Leptin is a stronger predictor of CRP; however, in overweight and obese women, Asian women showed a stronger link between circulating CRP with both leptin and adiponectin. As CRP is a predictive factor for future chronic disease, adipokines may be important mediators of risk for Asian women. Nevertheless, studies are needed that measure visceral, subcutaneous, and total adipose tissue (e.g., magnetic resonance imaging or computed tomography dual energy X-ray absorptiometry study of adiposity distribution) among a weight-diverse population to clarify the association between adipokines and distribution of adiposity tissue. Additionally, future studies that include outcome measures such as insulin resistance, diabetes, and metabolic syndrome as well as heart disease and rheumatological conditions are needed to further elucidate whether adiponectin is a key link to explain the ethnic differences in disease risk in Asians and Caucasians.


BMI:Body mass index
CRP:C-reactive protein
CV:Coefficient of variation
TNF-α:Tumor necrosis factor-α.


This research was supported by the National Cancer Institute Grant R03 CA130061. Drs. Conroy and Chai were supported by R25 CA90956. The original study among women was supported by NCI Grant R01 CA80843. The authors would like to thank the committed study participants and the three dedicated summer students (Corey Kelsom, Brian Johnston, and William Cooney) who assisted with the lab assays.


  1. M. Stommel and C. A. Schoenborn, “Variations in BMI and prevalence of health risks in diverse racial and ethnic populations,” Obesity, vol. 18, no. 9, pp. 1821–1826, 2010. View at Publisher · View at Google Scholar
  2. R. Huxley, W. P. James, F. Barzi et al., “Ethnic comparisons of the cross-sectional relationships between measures of body size with diabetes and hypertension,” Obesity Reviews, vol. 9, supplement 1, pp. 53–61, 2008. View at Publisher · View at Google Scholar · View at Scopus
  3. G. Maskarinec, E. Erber, A. Grandinetti et al., “Diabetes incidence based on linkages with health plans: the multiethnic cohort,” Diabetes, vol. 58, no. 8, pp. 1732–1738, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. S. A. Lear, K. H. Humphries, S. Kohli, A. Chockalingam, J. J. Frohlich, and C. L. Birmingham, “Visceral adipose tissue accumulation differs according to ethnic background: results of the Multicultural Community Health Assessment Trial (M-CHAT),” American Journal of Clinical Nutrition, vol. 86, no. 2, pp. 353–359, 2007. View at Google Scholar · View at Scopus
  5. S. Tanaka, C. Horimai, and F. Katsukawa, “Ethnic differences in abdominal visceral fat accumulation between Japanese, African-Americans, and Caucasians: a meta-analysis,” Acta Diabetologica, vol. 40, supplement 1, pp. S302–S304, 2003. View at Publisher · View at Google Scholar
  6. T. Hayashi, E. J. Boyko, M. J. McNeely, D. L. Leonetti, S. E. Kahn, and W. Y. Fujimoto, “Visceral adiposity, not abdominal subcutaneous fat area, is associated with an increase in future insulin resistance in Japanese Americans,” Diabetes, vol. 57, no. 5, pp. 1269–1275, 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. C. S. Fox, J. M. Massaro, U. Hoffmann et al., “Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the framingham heart study,” Circulation, vol. 116, no. 1, pp. 39–48, 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. U. N. Das, “Is obesity an inflammatory condition?” Nutrition, vol. 17, no. 11-12, pp. 953–966, 2001. View at Publisher · View at Google Scholar · View at Scopus
  9. M. K. Badman and J. S. Flier, “The adipocyte as an active participant in energy balance and metabolism,” Gastroenterology, vol. 132, no. 6, pp. 2103–2115, 2007. View at Publisher · View at Google Scholar · View at Scopus
  10. F. M. Finucane, J. Luan, N. J. Wareham et al., “Correlation of the leptin: adiponectin ratio with measures of insulin resistance in non-diabetic individuals,” Diabetologia, vol. 52, no. 11, pp. 2345–2349, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. K. G. Park, K. S. Park, M. J. Kim et al., “Relationship between serum adiponectin and leptin concentrations and body fat distribution,” Diabetes Research and Clinical Practice, vol. 63, no. 2, pp. 135–142, 2004. View at Publisher · View at Google Scholar · View at Scopus
  12. M. J. Lee and S. K. Fried, “Integration of hormonal and nutrient signals that regulate leptin synthesis and secretion,” American Journal of Physiology, vol. 296, no. 6, pp. E1230–E1238, 2009. View at Publisher · View at Google Scholar · View at Scopus
  13. A. Martí, A. Marcos, and J. A. Martínez, “Obesity and immune function relationships,” Obesity Reviews, vol. 2, no. 2, pp. 131–140, 2001. View at Google Scholar · View at Scopus
  14. F. Y. Li, K. K. Cheng, K. S. Lam, P. M. Vanhoutte, and A. Xu, “Cross-talk between adipose tissue and vasculature: role of adiponectin,” Acta Physiolologica. In press. View at Publisher · View at Google Scholar
  15. N. Ouchi and K. Walsh, “Adiponectin as an anti-inflammatory factor,” Clinica Chimica Acta, vol. 380, no. 1-2, pp. 24–30, 2007. View at Publisher · View at Google Scholar · View at Scopus
  16. S. Li, H. J. Shin, E. L. Ding, and R. M. van Dam, “Adiponectin levels and risk of type 2 diabetes: a systematic review and meta-analysis,” Journal of the American Medical Association, vol. 302, no. 2, pp. 179–188, 2009. View at Publisher · View at Google Scholar · View at Scopus
  17. N. Sattar, G. Wannamethee, N. Sarwar et al., “Adiponectin and coronary heart disease: a prospective study and meta-analysis,” Circulation, vol. 114, no. 7, pp. 623–629, 2006. View at Publisher · View at Google Scholar · View at Scopus
  18. A. Mente, F. Razak, S. Blankenberg et al., “Ethnic variation in adiponectin and leptin levels and their association with adiposity and insulin resistance,” Diabetes Care, vol. 33, no. 7, pp. 1629–1634, 2010. View at Publisher · View at Google Scholar
  19. S. Lee and M. D. Jensen, “Adipogenic risk factor differences between Korean and white adults-potential role of plasma free fatty acid and adiponectin,” Metabolism, vol. 58, no. 2, pp. 270–274, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. T. Kadowaki, A. Sekikawa, T. Okamura et al., “Higher levels of adiponectin in American than in Japanese men despite obesity,” Metabolism, vol. 55, no. 12, pp. 1561–1563, 2006. View at Publisher · View at Google Scholar · View at Scopus
  21. M. Martin, L. P. Palaniappan, A. C. Kwan, G. M. Reaven, and P. D. Reaven, “Ethnic differences in the relationship between adiponectin and insulin sensitivity in south asian and caucasian women,” Diabetes Care, vol. 31, no. 4, pp. 798–801, 2008. View at Publisher · View at Google Scholar · View at Scopus
  22. Z. Wang and T. Nakayama, “Inflammation, a link between obesity and cardiovascular disease,” Mediators of Inflammation, vol. 2010, Article ID 535918, 17 pages, 2010. View at Publisher · View at Google Scholar
  23. G. Maskarinec, A. A. Franke, A. E. Williams et al., “Effects of a 2-year randomized soy intervention on sex hormone levels in premenopausal women,” Cancer Epidemiology Biomarkers and Prevention, vol. 13, no. 11, pp. 1736–1744, 2004. View at Google Scholar · View at Scopus
  24. G. Wang, X. Liu, K. K. Christoffel et al., “Prediabetes is not all about obesity: association between plasma leptin and prediabetes in lean rural Chinese adults,” European Journal of Endocrinology, vol. 163, no. 2, pp. 243–249, 2010. View at Publisher · View at Google Scholar
  25. A. D. Pradhan, J. E. Manson, N. Rifai, J. E. Buring, and P. M. Ridker, “C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus,” Journal of the American Medical Association, vol. 286, no. 3, pp. 327–334, 2001. View at Google Scholar · View at Scopus
  26. E. Kassi, M. Dalamaga, G. Hroussalas et al., “Adipocyte factors, high-sensitive C-reactive protein levels and lipoxidative stress products in overweight postmenopausal women with normal and impaired OGTT,” Maturitas, vol. 67, no. 1, pp. 72–77, 2010. View at Publisher · View at Google Scholar · View at Scopus
  27. Y. Matsuzawa, “Adiponectin: identification, physiology and clinical relevance in metabolic and vascular disease,” Atherosclerosis Supplements, vol. 6, no. 2, pp. 7–14, 2005. View at Publisher · View at Google Scholar · View at Scopus
  28. S. Engeli, M. Feldpausch, K. Gorzelniak et al., “Association between adiponectin and mediators of inflammation in obese women,” Diabetes, vol. 52, no. 4, pp. 942–947, 2003. View at Publisher · View at Google Scholar · View at Scopus
  29. H. Motoshima, X. Wu, M. K. Sinha et al., “Differential regulation of adiponectin secretion from cultured human omental and subcutaneous adipocytes: effects of insulin and rosiglitazone,” Journal of Clinical Endocrinology and Metabolism, vol. 87, no. 12, pp. 5662–5667, 2002. View at Publisher · View at Google Scholar · View at Scopus
  30. A. D. Karelis, D. H. St-Pierre, F. Conus, R. Rabasa-Lhoret, and E. T. Poehlman, “Metabolic and body composition factors in subgroups of obesity: what do we know?” Journal of Clinical Endocrinology and Metabolism, vol. 89, no. 6, pp. 2569–2575, 2004. View at Publisher · View at Google Scholar · View at Scopus
  31. T. Hansen, H. Ahlström, S. Söderberg et al., “Visceral adipose tissue, adiponectin levels and insulin resistance are related to atherosclerosis as assessed by whole-body magnetic resonance angiography in an elderly population,” Atherosclerosis, vol. 205, no. 1, pp. 163–167, 2009. View at Publisher · View at Google Scholar · View at Scopus
  32. A. M. Kanaya, T. Harris, B. H. Goodpaster, F. Tylavsky, and S. R. Cummings, “Adipocytokines attenuate the association between visceral adiposity and diabetes in older adults,” Diabetes Care, vol. 27, no. 6, pp. 1375–1380, 2004. View at Publisher · View at Google Scholar · View at Scopus
  33. Y. M. Rolland, H. M. Perry, P. Patrick, W. A. Banks, and J. E. Morley, “Leptin and adiponectin levels in middle-aged postmenopausal women: associations with lifestyle habits, hormones, and inflammatory markers-a cross-sectional study,” Metabolism, vol. 55, no. 12, pp. 1630–1636, 2006. View at Publisher · View at Google Scholar · View at Scopus
  34. M. Matsubara, K. Namioka, and S. Katayose, “Decreased plasma adiponectin concentrations in women with low-grade C-reactive protein elevation,” European Journal of Endocrinology, vol. 148, no. 6, pp. 657–662, 2003. View at Publisher · View at Google Scholar · View at Scopus
  35. P. C. Heinrich, J. V. Castell, and T. Andus, “Interleukin-6 and the acute phase response,” Biochemical Journal, vol. 265, no. 3, pp. 621–636, 1990. View at Google Scholar · View at Scopus
  36. V. Mohamed-Ali, S. Goodrick, A. Rawesh et al., “Subcutaneous adipose tissue releases interleukin-6, but not tumor necrosis factor-α, in vivo,” Journal of Clinical Endocrinology and Metabolism, vol. 82, no. 12, pp. 4196–4200, 1997. View at Google Scholar · View at Scopus
  37. G. S. Hotamisligil, P. Arner, J. F. Caro, R. L. Atkinson, and B. M. Spiegelman, “Increased adipose tissue expression of tumor necrosis factor-α in human obesity and insulin resistance,” Journal of Clinical Investigation, vol. 95, no. 5, pp. 2409–2415, 1995. View at Google Scholar · View at Scopus
  38. S. P. Weisberg, D. McCann, M. Desai, M. Rosenbaum, R. L. Leibel, and A. W. Ferrante Jr., “Obesity is associated with macrophage accumulation in adipose tissue,” Journal of Clinical Investigation, vol. 112, no. 12, pp. 1796–1808, 2003. View at Publisher · View at Google Scholar · View at Scopus
  39. J. A. Meyers, A. Y. Liu, A. McTiernan et al., “Serum leptin concentrations and markers of immune function in overweight or obese postmenopausal women,” Journal of Endocrinology, vol. 199, no. 1, pp. 51–60, 2008. View at Publisher · View at Google Scholar · View at Scopus
  40. A. S. M. Shamsuzzaman, M. Winnicki, R. Wolk et al., “Independent association between plasma leptin and C-reactive protein in healthy humans,” Circulation, vol. 109, no. 18, pp. 2181–2185, 2004. View at Publisher · View at Google Scholar · View at Scopus
  41. J. Santos-Alvarez, R. Goberna, and V. Sánchez-Margalet, “Human leptin stimulates proliferation and activation of human circulating monocytes,” Cellular Immunology, vol. 194, no. 1, pp. 6–11, 1999. View at Publisher · View at Google Scholar · View at Scopus
  42. H. Baumann, K. K. Morella, D. W. White et al., “The full-length leptin receptor has signaling capabilities of interleukin 6-type cytokine receptors,” Proceedings of the National Academy of Sciences of the United States of America, vol. 93, no. 16, pp. 8374–8378, 1996. View at Publisher · View at Google Scholar · View at Scopus
  43. P. A. Kern, G. B. Di Gregorio, T. Lu, N. Rassouli, and G. Ranganathan, “Adiponectin expression from human adipose tissue: relation to obesity, insulin resistance, and tumor necrosis factor-α expression,” Diabetes, vol. 52, no. 7, pp. 1779–1785, 2003. View at Google Scholar · View at Scopus
  44. C. S. Mantzoros, T. Li, J. E. Manson, J. B. Meigs, and F. B. Hu, “Circulating adiponectin levels are associated with better glycemic control, more favorable lipid profile, and reduced inflammation in women with type 2 diabetes,” Journal of Clinical Endocrinology and Metabolism, vol. 90, no. 8, pp. 4542–4548, 2005. View at Publisher · View at Google Scholar · View at Scopus
  45. M. Mori, R. Yamada, K. Kobayashi, R. Kawaida, and K. Yamamoto, “Ethnic differences in allele frequency of autoimmune-disease-associated SNPs,” Journal of Human Genetics, vol. 50, no. 5, pp. 264–266, 2005. View at Publisher · View at Google Scholar · View at Scopus