Background Chronic exposure to arsenic in drinking water is associated with increased risk of type 2 diabetes mellitus (T2DM) but the underlying molecular mechanism remains unclear. Objectives This study evaluated the interaction between single nucleotide polymorphisms (SNPs) in genes associated with diabetes and arsenic exposure in drinking water on the risk of developing T2DM. Methods In 2009–2011, we conducted a follow up study of 957 Bangladeshi adults who participated in a case-control study of arsenic-induced skin lesions in 2001–2003. Logistic regression models were used to evaluate the association between 38 SNPs in 18 genes and risk of T2DM measured at follow up. T2DM was defined as having a blood hemoglobin A1C level greater than or equal to 6.5% at follow-up. Arsenic exposure was characterized by drinking water samples collected from participants' tubewells. False discovery rates were applied in the analysis to control for multiple comparisons. Results Median arsenic levels in 2001–2003 were higher among diabetic participants compared with non-diabetic ones (71.6 μg/L vs. 12.5 μg/L, p-value <0.001). Three SNPs in ADAMTS9 were nominally associated with increased risk of T2DM (rs17070905, Odds Ratio (OR) = 2.30, 95% confidence interval (CI) 1.17–4.50; rs17070967, OR = 2.02, 95%CI 1.00–4.06; rs6766801, OR = 2.33, 95%CI 1.18–4.60), but these associations did not reach the statistical significance after adjusting for multiple comparisons. A significant interaction between arsenic and NOTCH2 (rs699780) was observed which significantly increased the risk of T2DM (p for interaction = 0.003; q-value = 0.021). Further restricted analysis among participants exposed to water arsenic of less than 148 μg/L showed consistent results for interaction between the NOTCH2 variant and arsenic exposure on T2DM (p for interaction = 0.048; q-value = 0.004). Conclusions These findings suggest that genetic variation in NOTCH2 increased susceptibility to T2DM among people exposed to inorganic arsenic. Additionally, genetic variants in ADAMTS9 may increase the risk of T2DM.
References
[1]
Wild S, Roglic G, Green A, Sicree R, King H (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 27: 1047–1053.
[2]
CDC (2011) 2011 National Diabetes Fact Sheet. Available: http://www.cdc.gov/diabetes/pubs/pdf/ndf?s_2011.pdf. Assessed May 28 2013.
[3]
Fung TT, Schulze M, Manson JE, Willett WC, Hu FB (2004) Dietary patterns, meat intake, and the risk of type 2 diabetes in women. Arch Intern Med 164: 2235–2240.
[4]
van Dam RM, Willett WC, Rimm EB, Stampfer MJ, Hu FB (2002) Dietary fat and meat intake in relation to risk of type 2 diabetes in men. Diabetes Care 25: 417–424.
[5]
Grontved A, Hu FB (2011) Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis. JAMA 305: 2448–2455.
[6]
Willi C, Bodenmann P, Ghali WA, Faris PD, Cornuz J (2007) Active smoking and the risk of type 2 diabetes: a systematic review and meta-analysis. JAMA 298: 2654–2664.
[7]
Voight BF, Scott LJ, Steinthorsdottir V, Morris AP, Dina C, et al. (2010) Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nat Genet 42: 579–589.
[8]
Ravenscroft P (2007) Prediction the global extent of arsenic pollution of groundwater and its potential impact on human health. Cambridge, UK: UNICEF.
[9]
Lai MS, Hsueh YM, Chen CJ, Shyu MP, Chen SY, et al. (1994) Ingested inorganic arsenic and prevalence of diabetes mellitus. Am J Epidemiol 139: 484–492.
[10]
Tseng CH, Tai TY, Chong CK, Tseng CP, Lai MS, et al. (2000) Long-term arsenic exposure and incidence of non-insulin-dependent diabetes mellitus: a cohort study in arseniasis-hyperendemic villages in Taiwan. Environ Health Perspect 108: 847–851.
[11]
Rahman M, Tondel M, Ahmad SA, Axelson O (1998) Diabetes mellitus associated with arsenic exposure in Bangladesh. Am J Epidemiol 148: 198–203.
[12]
Rahman M, Tondel M, Chowdhury IA, Axelson O (1999) Relations between exposure to arsenic, skin lesions, and glucosuria. Occup Environ Med 56: 277–281.
[13]
James KA, Marshall JA, Hokanson JE, Meliker JR, Zerbe GO, et al. (2013) A case-cohort study examining lifetime exposure to inorganic arsenic in drinking water and diabetes mellitus. Environ Res 123: 33–38.
[14]
Gribble MO, Howard BV, Umans JG, Shara NM, Francesconi KA, et al. (2012) Arsenic exposure, diabetes prevalence, and diabetes control in the Strong Heart Study. Am J Epidemiol 176: 865–874.
[15]
Islam R, Khan I, Hassan SN, McEvoy M, D'Este C, et al. (2012) Association between type 2 diabetes and chronic arsenic exposure in drinking water: a cross sectional study in Bangladesh. Environ Health 11: 38.
[16]
Kim Y, Lee BK (2011) Association between urinary arsenic and diabetes mellitus in the Korean general population according to KNHANES 2008. Sci Total Environ 409: 4054–4062.
[17]
Navas-Acien A, Silbergeld EK, Pastor-Barriuso R, Guallar E (2008) Arsenic exposure and prevalence of type 2 diabetes in US adults. JAMA 300: 814–822.
[18]
Navas-Acien A, Silbergeld EK, Pastor-Barriuso R, Guallar E (2009) Rejoinder: Arsenic exposure and prevalence of type 2 diabetes: updated findings from the National Health Nutrition and Examination Survey, 2003–2006. Epidemiology 20: 816–820; discussion e811–812.
[19]
Walton FS, Harmon AW, Paul DS, Drobna Z, Patel YM, et al. (2004) Inhibition of insulin-dependent glucose uptake by trivalent arsenicals: possible mechanism of arsenic-induced diabetes. Toxicol Appl Pharmacol 198: 424–433.
[20]
Paul DS, Harmon AW, Devesa V, Thomas DJ, Styblo M (2007) Molecular mechanisms of the diabetogenic effects of arsenic: inhibition of insulin signaling by arsenite and methylarsonous acid. Environ Health Perspect 115: 734–742.
[21]
Diaz-Villasenor A, Sanchez-Soto MC, Cebrian ME, Ostrosky-Wegman P, Hiriart M (2006) Sodium arsenite impairs insulin secretion and transcription in pancreatic beta-cells. Toxicol Appl Pharmacol 214: 30–34.
[22]
Diaz-Villasenor A, Burns AL, Salazar AM, Sordo M, Hiriart M, et al. (2008) Arsenite reduces insulin secretion in rat pancreatic beta-cells by decreasing the calcium-dependent calpain-10 proteolysis of SNAP-25. Toxicol Appl Pharmacol 231: 291–299.
[23]
Fu J, Woods CG, Yehuda-Shnaidman E, Zhang Q, Wong V, et al. (2010) Low-level arsenic impairs glucose-stimulated insulin secretion in pancreatic beta cells: involvement of cellular adaptive response to oxidative stress. Environ Health Perspect 118: 864–870.
[24]
Xue P, Hou Y, Zhang Q, Woods CG, Yarborough K, et al. (2011) Prolonged inorganic arsenite exposure suppresses insulin-stimulated AKT S473 phosphorylation and glucose uptake in 3T3-L1 adipocytes: involvement of the adaptive antioxidant response. Biochem Biophys Res Commun 407: 360–365.
[25]
Douillet C, Currier J, Saunders J, Bodnar WM, Matousek T, et al. (2013) Methylated trivalent arsenicals are potent inhibitors of glucose stimulated insulin secretion by murine pancreatic islets. Toxicol Appl Pharmacol 267: 11–15.
[26]
Oh RS, Pan WC, Yalcin A, Zhang H, Guilarte TR, et al. (2012) Functional RNA interference (RNAi) screen identifies system A neutral amino acid transporter 2 (SNAT2) as a mediator of arsenic-induced endoplasmic reticulum stress. J Biol Chem 287: 6025–6034.
[27]
Breton CV, Zhou W, Kile ML, Houseman EA, Quamruzzaman Q, et al. (2007) Susceptibility to arsenic-induced skin lesions from polymorphisms in base excision repair genes. Carcinogenesis 28: 1520–1525.
[28]
McCarty KM, Chen YC, Quamruzzaman Q, Rahman M, Mahiuddin G, et al. (2007) Arsenic methylation, GSTT1, GSTM1, GSTP1 polymorphisms, and skin lesions. Environ Health Perspect 115: 341–345.
[29]
International Expert Committee report on the role of the A1C assay in the diagnosis of diabetes. Diabetes Care 32: 1327–1334.
[30]
Executive summary: Standards of medical care in diabetes –2010. Diabetes Care 33 Suppl 1S4–10.
[31]
Wu MC, Kraft P, Epstein MP, Taylor DM, Chanock SJ, et al. (2010) Powerful SNP-set analysis for case-control genome-wide association studies. Am J Hum Genet 86: 929–942.
[32]
Benjamini Y, Drai D, Elmer G, Kafkafi N, Golani I (2001) Controlling the false discovery rate in behavior genetics research. Behav Brain Res 125: 279–284.
[33]
R_Development_Core_Team (2011) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.
[34]
Wu MM, Chiou HY, Ho IC, Chen CJ, Lee TC (2003) Gene expression of inflammatory molecules in circulating lymphocytes from arsenic-exposed human subjects. Environ Health Perspect 111: 1429–1438.
[35]
Kozul CD, Hampton TH, Davey JC, Gosse JA, Nomikos AP, et al. (2009) Chronic exposure to arsenic in the drinking water alters the expression of immune response genes in mouse lung. Environ Health Perspect 117: 1108–1115.
[36]
Sakata-Yanagimoto M, Chiba S (2012) Notch2 and immune function. Curr Top Microbiol Immunol 360: 151–161.
[37]
Zhang Q, Wang C, Liu Z, Liu X, Han C, et al.. (2011) Notch signal suppresses TLR-triggered inflammatory responses in macrophages by inhibiting ERK1/2-mediated NF-kappaB activation. J Biol Chem.
[38]
Ogden CL, Carroll MD, Kit BK, Flegal KM (2012) Prevalence of Obesity in the United States, 2009–2010.
[39]
Focazio MJ WA, Watkins SA, Helsel DR, Horn MA (2000) A Retrospective Analysis on the Occurrence of Arsenic in Ground-Water Resources of the United States and Limitations in Drinking-Water-Supply-Characterizations. Report. Reston, VA: US Geological Survey.
[40]
Phenotype-GenotypeIntegrator (2012) Available: http://www.ncbi.nlm.nih.gov/gap/PheGenI.Assessed Feb 23 2012.
[41]
Gamble MV, Ahsan H, Liu X, Factor-Litvak P, Ilievski V, et al. (2005) Folate and cobalamin deficiencies and hyperhomocysteinemia in Bangladesh. Am J Clin Nutr 81: 1372–1377.
[42]
Shamim AA, Kabir A, Merrill RD, Ali H, Rashid M, et al.. (2013) Plasma zinc, vitamin B12 and alpha-tocopherol are positively and plasma gamma-tocopherol is negatively associated with Hb concentration in early pregnancy in north-west Bangladesh. Public Health Nutr: 1–8.
[43]
Lindstrom E, Hossain MB, Lonnerdal B, Raqib R, El Arifeen S, et al. (2011) Prevalence of anemia and micronutrient deficiencies in early pregnancy in rural Bangladesh, the MINIMat trial. Acta Obstet Gynecol Scand 90: 47–56.