Identification of genetic and environmental factors predicting metabolically healthy obesity in children: Data from the BCAMS study

Journal of Clinical Endocrinology and Metabolism

Volumn 101, Issue 4, 2016, Pages 1816-1825

  Li, Lujiao ^a   Yin, Jinhua ^a   Cheng, Hong ^b   Wang, Ying ^a   Gao, Shan ^c   Li, Mingyao ^d   Grant, Struan F A ^d,e   Li, Changhong ^f   Mi, Jie ^b   Li, Ming ^a,d  

^a PEKING UNION MEDICAL COLLEGE HOSPITAL   (China)

^b CAPITAL INSTITUTE OF PEDIATRICS   (China)

^c CAPITAL MEDICAL UNIVERSITY   (China)

^d CHILDREN S HOSPITAL OF PHILADELPHIA   (United States)

^e UNIVERSITY OF PENNSYLVANIA   (United States)

^f University of Pennsylvania ^*

Author keywords

[No Author keywords available]

Indexed keywords

POTASSIUM CHANNEL KCNQ1;

ACANTHOSIS NIGRICANS; ADOLESCENT; ADULT; ARTICLE; BIRTH WEIGHT; BODY MASS; CARDIOMETABOLIC RISK; CHILD; CHINA; CHINESE; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DIABETES MELLITUS; EDUCATIONAL STATUS; ENVIRONMENTAL FACTOR; FEMALE; GENETIC PREDISPOSITION; GENETIC VARIABILITY; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE ENVIRONMENT INTERACTION; HUMAN; INSULIN RESISTANCE; KCNQ1 GENE; LIFESTYLE; MALE; METABOLICALLY HEALTHY OBESITY; OBESITY; PHYSICAL ACTIVITY; POPULATION RESEARCH; PREVALENCE; SINGLE NUCLEOTIDE POLYMORPHISM; SOCIAL STATUS; SOFT DRINK; WAIST CIRCUMFERENCE; ENVIRONMENT; GENETICS; OBESITY, METABOLICALLY BENIGN; PEDIATRIC OBESITY; PHYSIOLOGY; RISK FACTOR;

ADOLESCENT; BIRTH WEIGHT; BODY MASS INDEX; CHILD; EDUCATIONAL STATUS; ENVIRONMENT; FEMALE; HUMANS; INSULIN RESISTANCE; KCNQ1 POTASSIUM CHANNEL; MALE; OBESITY, METABOLICALLY BENIGN; PEDIATRIC OBESITY; RISK FACTORS;

EID: 85010408548     PISSN: 0021972X     EISSN: 19457197     Source Type: Journal    
DOI: 10.1210/jc.2015-3760     Document Type: Article

References (40)

1. Ng M, Fleming T, Robinson M, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384(9945):766-781.
2. Cefalu WT, Bray GA, Home PD, et al. Advances in the science, treatment, and prevention of the disease of obesity: reflections from a diabetes care editors' expert forum. Diabetes Care. 2015;38(8):1567-1582.
3. Martinez-Larrad MT, Corbaton AA, Del PN, Ibarra RJ, Gabriel R, Serrano-Rios M. Profile of individuals who are metabolically healthy obese using different definition criteria. A population-based analysis in the Spanish population. PLoS One. 2014;9(9):e106641.
4. Ortega FB, Lee D-C, Katzmarzyk PT, et al. The intriguing metabolically healthy but obese phenotype: cardiovascular prognosis and role of fitness. Eur Heart J. 2012;34(5):389-397.
5. Chen DL, Liess C, Poljak A, et al. Phenotypic characterization of insulin-resistant and insulin-sensitive obesity. J Clin Endocrinol Metab. 2015;100(11):4082-4091.
6. Bluher S, Schwarz P. Metabolically healthy obesity from childhood to adulthood - does weight status alone matter? Metabolism. 2014;63(9):1084-1092.
7. Lv D, Zhang DD, Wang H, et al. Genetic variations in SEC16B, MC4R, MAP2K5 and KCTD15 were associated with childhood obesity and interacted with dietary behaviors in Chinese school-age population. Gene. 2015;560(2):149-155.
8. Navarro E, Funtikova AN, Fíto M, Schröder H. Can metabolically healthy obesity be explained by diet, genetics, and inflammation? Mol Nutr Food Res. 2015;59(1):75-93.
9. Wen W, Zheng W, Okada Y, 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(20):5492-5504.
10. Cho YS, Chen CH, Hu C, et al. Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in East Asians. Nat Genet. 2011;44(1):67-72.
11. Xi B, Takeuchi F, Meirhaeghe A, Kato N, Chambers JC, Morris AP. Associations of genetic variants in/near body mass index associated genes with type 2 diabetes: a systematic meta-analysis. Clin Endocrinol (Oxf). 2014;81(5):702-710.
12. Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-206.
13. Phillips CM, Dillon C, Harrington JM, et al. Defining metabolically healthy obesity: role of dietary and lifestyle factors. PLoS One. 2013;8(10):e76188.
14. Prince RL, Kuk JL, Ambler KA, Dhaliwal J, Ball GD. Predictors of metabolically healthy obesity in children. Diabetes Care. 2014;37(5):1462-1468.
15. Wahlqvist ML, Krawetz SA, Rizzo NS, Dominguez-Bello MG, Szymanski LM, Barkin S. Early-life influences on obesity: from preconception to adolescence. Ann NY Acad Sci 2015;1347(1):1-28.
16. Li M, Fisette A, Zhao XY, Deng JY, Mi J, Cianflone K. Serum resist in correlates with central obesity but weakly with insulin resistance in Chinese children and adolescents. Int J Obes (Lond). 2009;33(4):424-439.
17. Wang Q, Yin J, Xu L, et al. Prevalence of metabolic syndrome in a cohort of Chinese schoolchildren: comparison of two definitions and assessment of adipokines as components by factor analysis. BMC Public Health. 2013;13:249.
18. Yin J, Li M, Xu L, et al. Insulin resistance determined by homeostasis model assessment (HOMA) and associations with metabolic syndrome among Chinese children and teenagers. Diabetol Metab Syndr. 2013;5(1):71.
19. Group of China Obesity Task Force. Body mass index reference norm for screening overweight and obesity in Chinese children and adolescents. Chin J Epidemiol. 2004;25(2):97-102.
20. Xi B, Wang C, Wu L, et al. Influence of physical inactivity on associations between single nucleotide polymorphisms and genetic predisposition to childhood obesity. Am J Epidemiol. 2011;173(11):1256-1262.
21. Horikoshi M, Yaghootkar H, Mook-Kanamori DO, et al. Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC); Early Growth Genetics (EGG) Consortium. New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism. Nat Genet. 2013;45(1):76-82.
22. Gabriel S, Ziaugra L, Tabbaa D. SNP genotyping using the Sequenom Mass ARRAY iPLEX platform. Curr Protoc Hum Genet. 2009;Chapter 2:Unit 2.12.
23. Jolliffe CJ, Janssen I. Development of age-specific adolescent metabolic syndrome criteria that are linked to the Adult Treatment Panel III and International Diabetes Federation criteria. J Am Coll Cardiol. 2007;49(8):891-898.
24. Van Vliet-Ostaptchouk JV, Nuotio M-L, Slagter SN, et al. The prevalence of metabolic syndrome and metabolically healthy obesity in Europe: a collaborative analysis of ten large cohort studies. BMC Endocr Disord. 2014;14:9.
25. Camhi SM, Waring ME, Sisson SB, Hayman LL, Must A. Physical activity and screen time in metabolically healthy obese phenotypes in adolescents and adults. J Obes. 2013;2013:984613.
26. Sénéchal M, Wicklow B, Wittmeier K, et al. Cardiorespiratory fitness and adiposity in metabolically healthy overweight and obese youth. Pediatrics. 2013;132(1):e85-e92.
27. Mangge H, Zelzer S, Puerstner P, Schnedl WJ, Reeves G, Postolache TT, Weghuber D. Uric acid best predicts metabolically unhealthy obesity with increased cardiovascular risk in youth and adults. Obesity (Silver Spring). 2013;21(1):E71-E77.
28. Pizarro AN, Ribeiro JC, Marques EA, Mota J, Santos MP. Is walking to school associated with improved metabolic health? Int J Behav Nutr Phys Act. 2013;10:12.
29. Ma Y, He FJ, Yin Y, Hashem KM, MacGregor GA. Gradual reduction of sugar in soft drinks without substitution as a strategy to reduce overweight, obesity, and type 2 diabetes: a modelling study. Lancet Diabetes Endocrinol. 2016;4(2):105-114.
30. Bouhours-Nouet N, Dufresne S, de Casson FB, et al. High birth weight and early postnatal weight gain protect obese children and adolescents from truncal adiposity and insulin resistance: metabolically healthy but obese subjects? Diabetes Care. 2008;31(5):1031-1036.
31. Yasuda K, Miyake K, Horikawa Y, et al. Variants in KCNQ1 are associated with susceptibility to type 2 diabetes mellitus. Nat Genet. 2008;40(9):1092-1097.
32. Yu W, Ma RC, Hu C, et al. Association between KCNQ1 genetic variants and obesity in Chinese patients with type 2 diabetes. Diabetologia. 2012;55(10):2655-2659.
33. Qian Y, Dong M, Lu F, et al. Joint effect of CENTD2 and KCNQ1 polymorphisms on the risk of type 2 diabetes mellitus among Chinese Han population. Mol Cell Endocrinol. 2015;407:46-51.
34. Boini KM, Graf D, Hennige AM, et al. Enhanced insulin sensitivity of gene-targeted mice lacking functional KCNQ1. Am J Physiol Regul Integr Comp Physiol. 2009;296(6):R1695-R1701.
35. Liu J, Wang F, Wu Y, et al. Meta-analysis of the effect of KCNQ1 gene polymorphism on the risk of type 2 diabetes. Mol Biol Rep. 2013;40(5):3557-3567.
36. Willer C, JSpeliotes E, KLoos R, et al. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet. 2009;41(1):25-34.
37. Schwenk RW, Vogel H, Schurmann A. Genetic and epigenetic control of metabolic health. Mol Metab. 2013;2(4):337-347.
38. Fanghanel G, Sanchez-Reyes L, Felix-Garcia L, Violante-Ortiz R, Campos-Franco E, Alcocer LA. Impact of waist circumference reduction on cardiovascular risk in treated obese subjects. Cir Cir. 2011;79(2):175-181.
39. Ortega FB, Cadenas-Sanchez C, Sui X, Blair SN, Lavie CJ. Role of fitness in the metabolically healthy but obese phenotype: a review and update. Prog Cardiovasc Dis. 2015;58(1):76-86.
40. Shungin D, Winkler TW, Croteau-Chonka DC, et al. New genetic loci link adipose and insulin biology to body fat distribution. Nature. 2015;518(7538):187-196.