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  • Original Article
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Clinical Studies and Practice

Overall and central obesity with insulin sensitivity and secretion in a Han Chinese population: a Mendelian randomization analysis

Abstract

Background/Objectives:

Clinical heterogeneity exists in overall obesity and obesity in terms of susceptibility to type 2 diabetes, but the relationship is vulnerable to be confounded by traditional risk factors in epidemiological studies. We aimed to characterize the impact of obesity in insulin secretion and sensitivity by using Mendelian randomization (MR) approach with genetic variants.

Subjects/Methods:

We first constructed two genetic risk scores based on 38 established loci for body mass index (BMI; a surrogate of overall obesity) and 13 waist-to-hip ratio (WHR; a surrogate of central obesity) to assess the causal effects of BMI and WHR on several glycaemic-related traits in 2884 community-based Han Chinese individuals.

Results:

Both of BMI and WHR were observationally correlated with insulin secretion and sensitivity indices. The MR analysis demonstrated that a genetically determined 1 s.d. (3.35 kg m−2) higher BMI caused a unit of 178.18 pmol l−1 higher Stumvoll first-phase and 35.52 pmol l−1 higher Stumvoll second-phase insulin secretion (P=0.001 and 0.002, respectively), which were even independent of central obesity (P=0.019 and 0.039, respectively). In contrast, a genetically determined 1 s.d. higher WHR (a change of 0.002 in WHR) caused a unit of 1.21 higher homeostasis model assessment of insulin resistance and 18.40 lower Gutt index (representing the insulin sensitivity) (P=0.048 and 0.028, respectively). No substantial heterogeneity existed between the observed associations and the genetic estimated associations (P for difference >0.05).

Conclusions:

We provide new causal evidence that the impact of obesity on insulin secretion and sensitivity could vary between overall obesity and central obesity in Han Chinese populations and also identify the extent to which overall obesity affects compensatory insulin secretion and central obesity inversely links to insulin sensitivity.

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References

  1. Kopelman P . Health risks associated with overweight and obesity. Obes Rev 2007; 8 (Suppl 1): 13–17.

    Article  Google Scholar 

  2. Hebert JR, Allison DB, Archer E, Lavie CJ, Blair SN . Scientific decision making, policy decisions, and the obesity pandemic. Mayo Clin Proc 2013; 88: 593–604.

    Article  Google Scholar 

  3. Goodpaster BH, Krishnaswami S, Resnick H, Kelley DE, Haggerty C, Harris TB et al. Association between regional adipose tissue distribution and both type 2 diabetes and impaired glucose tolerance in elderly men and women. Diabetes Care 2003; 26: 372–379.

    Article  Google Scholar 

  4. Langenberg C, Sharp SJ, Schulze MB, Rolandsson O, Overvad K, Forouhi NG et al. Long-term risk of incident type 2 diabetes and measures of overall and regional obesity: the EPIC-InterAct case-cohort study. PLoS Med 2012; 9: e1001230.

    Article  Google Scholar 

  5. Holmes MV, Lange LA, Palmer T, Lanktree MB, North KE, Almoguera B et al. Causal effects of body mass index on cardiometabolic traits and events: a Mendelian randomization analysis. Am J Hum Genet 2014; 94: 198–208.

    Article  CAS  Google Scholar 

  6. Hagg S, Fall T, Ploner A, Magi R, Fischer K, Draisma HH et al. Adiposity as a cause of cardiovascular disease: a Mendelian randomization study. Int J Epidemiol 2015; 44: 578–586.

    Article  Google Scholar 

  7. Zhang B, Shu XO, Delahanty RJ, Zeng C, Michailidou K, Bolla MK et al. Height and breast cancer risk: evidence from prospective studies and Mendelian randomization. J Natl Cancer Inst 2015; 107: djv219.

    Article  Google Scholar 

  8. Adamsson Eryd S, Sjogren M, Smith JG, Nilsson PM, Melander O, Hedblad B et al. Ceruloplasmin and atrial fibrillation: evidence of causality from a population-based Mendelian randomization study. J Intern Med 2014; 275: 164–171.

    Article  CAS  Google Scholar 

  9. Stumvoll M, Van Haeften T, Fritsche A, Gerich J . Oral glucose tolerance test indexes for insulin sensitivity and secretion based on various availabilities of sampling times. Diabetes Care 2001; 24: 796–797.

    Article  CAS  Google Scholar 

  10. Gutt M, Davis CL, Spitzer SB, Llabre MM, Kumar M, Czarnecki EM et al. Validation of the insulin sensitivity index (ISI(0,120)): comparison with other measures. Diabetes Res Clin Pract 2000; 47: 177–184.

    Article  CAS  Google Scholar 

  11. Okada Y, Kubo M, Ohmiya H, Takahashi A, Kumasaka N, Hosono N et al. Common variants at CDKAL1 and KLF9 are associated with body mass index in east Asian populations. Nat Genet 2012; 44: 302–306.

    Article  CAS  Google Scholar 

  12. Wen W, Cho YS, Zheng W, Dorajoo R, Kato N, Qi L et al. Meta-analysis identifies common variants associated with body mass index in east Asians. Nat Genet 2012; 44: 307–311.

    Article  CAS  Google Scholar 

  13. Wen W, Zheng W, Okada Y, Takeuchi F, Tabara Y, Hwang JY et al. Meta-analysis of genome-wide association studies in East Asian-ancestry populations identifies four new loci for body mass index. Hum Mol Genet 2014; 23: 5492–5504.

    Article  CAS  Google Scholar 

  14. Wen W, Kato N, Hwang JY, Guo X, Tabara Y, Li H et al. Genome-wide association studies in East Asians identify new loci for waist-hip ratio and waist circumference. Sci Rep 2016; 6: 17958.

    Article  CAS  Google Scholar 

  15. Faul F, Erdfelder E, Buchner A, Lang AG . Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods 2009; 41: 1149–1160.

    Article  Google Scholar 

  16. Samuel VT, Shulman GI . Mechanisms for insulin resistance: common threads and missing links. Cell 2012; 148: 852–871.

    Article  CAS  Google Scholar 

  17. Hajer GR, van Haeften TW, Visseren FL . Adipose tissue dysfunction in obesity, diabetes, and vascular diseases. Eur Heart J 2008; 29: 2959–2971.

    Article  CAS  Google Scholar 

  18. Tchernof A, Despres JP . Pathophysiology of human visceral obesity: an update. Physiol Rev 2013; 93: 359–404.

    Article  CAS  Google Scholar 

  19. Prentki M, Nolan CJ . Islet beta cell failure in type 2 diabetes. J Clin Invest 2006; 116: 1802–1812.

    Article  CAS  Google Scholar 

  20. Takahara M, Katakami N, Kaneto H, Noguchi M, Shimomura I . Pancreatic beta cell function in lean and obese Japanese with various degrees of glucose tolerance. Endocr J 2013; 60: 923–930.

    Article  CAS  Google Scholar 

  21. Zhu J, Zong G, Lu L, Gan W, Ji L, Hu R et al. Association of genetic predisposition to obesity with type 2 diabetes risk in Han Chinese individuals. Diabetologia 2014; 57: 1830–1833.

    Article  CAS  Google Scholar 

  22. Yan J, Peng D, Jiang F, Zhang R, Chen M, Wang T et al. Impaired pancreatic beta cell compensatory function is the main cause of type 2 diabetes in individuals with high genetic risk: a 9 year prospective cohort study in the Chinese population. Diabetologia 2016; 59: 1458–1462.

    Article  CAS  Google Scholar 

  23. Peter I, McCaffery JM, Kelley-Hedgepeth A, Hakonarson H, Reis S, Wagenknecht LE et al. Association of type 2 diabetes susceptibility loci with one-year weight loss in the look AHEAD clinical trial. Obesity (Silver Spring) 2012; 20: 1675–1682.

    Article  CAS  Google Scholar 

  24. Langenberg C, Sharp SJ, Franks PW, Scott RA, Deloukas P, Forouhi NG et al. Gene-lifestyle interaction and type 2 diabetes: the EPIC interact case-cohort study. PLoS Med 2014; 11: e1001647.

    Article  Google Scholar 

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Acknowledgements

This work is supported by 973 Program of China (2013CB530606), program from National Natural Science Foundation of China grants (81322010, 81300619 and 81570713), The Shanghai Jiaotong Medical/Engineering Foundation (YG2014MS18), National Program for Support of Top-notch Young Professionals and grants from the State Key Laboratory of Medical Genomics, Youth research project of Shanghai Municipal Health Bureau (20134Y048). We thank all the research volunteers and cooperative workers for their participation.

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Correspondence to C Hu or W Jia.

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Supplementary Information accompanies this paper on International Journal of Obesity website

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Wang, T., Ma, X., Tang, T. et al. Overall and central obesity with insulin sensitivity and secretion in a Han Chinese population: a Mendelian randomization analysis. Int J Obes 40, 1736–1741 (2016). https://doi.org/10.1038/ijo.2016.155

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