Analysis of the Relationship of Leptin, High-Sensitivity C-Reactive Protein, Adiponectin, Insulin, and Uric Acid to Metabolic Syndrome in Lean, Overweight, and Obese Young Females

被引:33
作者
Abdullah, Abdul Richa [1 ]
Hasan, Haydar A. [1 ]
Raigangar, Veena L. [1 ]
机构
[1] Univ Sharjah, Coll Hlth Sci, Sharjah, U Arab Emirates
关键词
POSTMENOPAUSAL WOMEN; CARDIOVASCULAR RISK; PLASMA LEPTIN; RESISTANCE; HYPERINSULINEMIA; PREVALENCE; CHILDREN; GLUCOSE; DISEASE;
D O I
10.1089/met.2008.0045
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Objective: Over the last decade there has been a steady rise in obesity and co-morbidity, but little is known about the rate of metabolic dysfunction among young adults in the United Arab Emirates. Various factors have been implicated as biomarkers of metabolic syndrome. The objective of this study was to analyze the relationships of leptin, C-reactive protein (CRP), adiponectin, insulin, and uric acid to the metabolic syndrome components in lean, overweight, and obese young females. Methods: This was a cross-sectional study of 69 apparently healthy young females, who were classified according to their body mass index (BMI) (kg/m(2)) into three groups: lean (<= 25), overweight (>25 and <30), and obese (>= 30). Estimated biomarkers were: leptin, insulin, adiponectin, high-sensitivity [hs]-CRP, uric acid, blood sugar, high-density lipoprotein (HDL), low-density lipoprotein (LDL), total cholesterol, and triglycerides (TG). Anthropometric measures, blood pressure, and homeostasis model assessment-insulin resistance (HOMA-IR) were also measured. Results: Serum leptin, hs-CRP, insulin, and uric acid increased significantly (p < 0.01) with increased BMI. Only one significant correlation (p < 0.05) between the biomarkers and the metabolic syndrome components was found in lean subjects (leptin vs. waist circumference r = 0.48) as opposed to six in the obese group (hs-CRP vs. waist circumference and systolic blood pressure [SBP], r = 0.45 and r = -0.41, respectively; insulin vs. diastolic blood pressure [DBP], r = 0.47; adiponectin vs. blood sugar, r = -0.44; and uric acid vs. waist circumference and TG, r = 0.5 and r = 0.51, respectively). Conclusion: Estimation of the levels of studied biomarkers could be an important tool for early detection of metabolic syndrome before the appearance of its frank components. Uric acid seems to be the most reliable biomarker to identify obese subjects with metabolic syndrome.
引用
收藏
页码:17 / 22
页数:6
相关论文
共 33 条
[1]   Metabolic syndrome risk for cardiovascular disease and diabetes in the ARIC study [J].
Ballantyne, C. M. ;
Hoogeveen, R. C. ;
McNeill, A. M. ;
Heiss, G. ;
Schmidt, M. I. ;
Duncan, B. B. ;
Pankow, J. S. .
INTERNATIONAL JOURNAL OF OBESITY, 2008, 32 (Suppl 2) :S21-S24
[2]   C-reactive protein as a predictor of cardiovascular risk in a population with a high prevalence of diabetes - The Strong Heart Study [J].
Best, LG ;
Zhang, Y ;
Lee, ET ;
Yeh, JL ;
Cowan, L ;
Palmieri, V ;
Roman, M ;
Devereux, RB ;
Fabsitz, RR ;
Tracy, RP ;
Robbins, D ;
Davidson, M ;
Ahmed, A ;
Howard, BV .
CIRCULATION, 2005, 112 (09) :1289-1295
[3]   Contribution of polymorphisms in the apolipoprotein AI-CIII-AIV cluster to hyperlipidaemia in patients with gout [J].
Cardona, F ;
Tinahones, FJ ;
Collantes, E ;
Escudero, A ;
García-Fuentes, E ;
Soriguer, FJ .
ANNALS OF THE RHEUMATIC DISEASES, 2005, 64 (01) :85-88
[4]  
Carter AO, 2004, J HEALTH POPUL NUTR, V22, P75
[5]   Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country [J].
Conen, D ;
Wietlisbach, V ;
Bovet, P ;
Shamlaye, C ;
Riesen, W ;
Paccaud, F ;
Burnier, M .
BMC PUBLIC HEALTH, 2004, 4 (1) :1-9
[6]   HYPERINSULINEMIA - THE KEY FEATURE OF A CARDIOVASCULAR AND METABOLIC SYNDROME [J].
FERRANNINI, E ;
HAFFNER, SM ;
MITCHELL, BD ;
STERN, MP .
DIABETOLOGIA, 1991, 34 (06) :416-422
[7]   Serum concentrations of uric acid and the metabolic syndrome among US children and adolescents [J].
Ford, Earl S. ;
Li, Chaoyang ;
Cook, Stephen ;
Choi, Hyon K. .
CIRCULATION, 2007, 115 (19) :2526-2532
[8]   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) Final Report [J].
Grundy, SM ;
Becker, D ;
Clark, LT ;
Cooper, RS ;
Denke, MA ;
Howard, WJ ;
Hunninghake, DB ;
Illingworth, R ;
Luepker, RV ;
McBride, P ;
McKenney, JM ;
Pasternak, RC ;
Stone, NJ ;
Van Horn, L ;
Brewer, HB ;
Cleeman, JI ;
Ernst, ND ;
Gordon, D ;
Levy, D ;
Rifkind, B ;
Rossouw, JE ;
Savage, P ;
Haffner, SM ;
Orloff, DG ;
Proschan, MA ;
Schwartz, JS ;
Sempos, CT ;
Shero, ST ;
Murray, EZ ;
Keller, SA ;
Jehle, AJ .
CIRCULATION, 2002, 106 (25) :3143-3421
[9]  
Gulturk S, 2008, SAUDI MED J, V29, P813
[10]   Relationship of plasma leptin to plasma insulin and adiposity in normal weight and overweight women: Effects of dietary fat content and sustained weight loss [J].
Havel, PJ ;
KasimKarakas, S ;
Mueller, W ;
Johnson, PR ;
Gingerich, RL ;
Stern, JS .
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 1996, 81 (12) :4406-4413