TY - JOUR
T1 - Determinants and consequences of arsenic metabolism efficiency among 4,794 individuals
T2 - Demographics, lifestyle, genetics, and toxicity
AU - Jansen, Rick J.
AU - Argos, Maria
AU - Tong, Lin
AU - Li, Jiabei
AU - Rakibuz-Zaman, Muhammad
AU - Islam, Md Tariqul
AU - Slavkovich, Vesna
AU - Ahmed, Alauddin
AU - Navas-Acien, Ana
AU - Parvez, Faruque
AU - Chen, Yu
AU - Gamble, Mary V.
AU - Graziano, Joseph H.
AU - Pierce, Brandon L.
AU - Ahsan, Habibul
N1 - Funding Information:
This work was funded in part by R01ES020506 (to B.L. Pierce), R01ES023834 (to B.L. Pierce), P42ES010349 (to J.H. Graziano), R01CA107431 (to H. Ahsan), and R24TW009555 (to H. Ahsan). The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Publisher Copyright:
© 2015 American Association for Cancer Research.
PY - 2016/2
Y1 - 2016/2
N2 - Background: Exposure to inorganic arsenic (iAs), a class I carcinogen, affects several hundred million people worldwide. Once absorbed, iAs is converted to monomethylated (MMA) and then dimethylated forms (DMA), with methylation facilitating urinary excretion. The abundance of each species in urine relative to their sum (iAs%, MMA%, and DMA%) varies across individuals, reflecting differences in arsenic metabolism capacity. Methods: The association of arsenic metabolism phenotypes with participant characteristics and arsenical skin lesions was characterized among 4,794 participants in the Health Effects of Arsenic Longitudinal Study (Araihazar, Bangladesh). Metabolism phenotypes include those obtained from principal component (PC) analysis of arsenic species. Results: Two independent PCs were identified: PC1 appears to represent capacity to produce DMA (second methylation step), and PC2 appears to represent capacity to convert iAs toMMA(first methylation step). PC1 was positively associated (P <0.05) with age, female sex, and BMI, while negatively associated with smoking, arsenic exposure, education, and land ownership. PC2 was positively associated with age and education but negatively associated with female sex and BMI. PC2 was positively associated with skin lesion status, while PC1 was not. 10q24.32/AS3MT region polymorphisms were strongly associated with PC1, but not PC2. Patterns of association for most variables were similar for PC1 and DMA%, and for PC2 and MMA% with the exception of arsenic exposure and SNP associations. Conclusions: Two distinct arsenic metabolism phenotypes show unique associations with age, sex, BMI, 10q24.32 polymorphisms, and skin lesions. Impact: This work enhances our understanding of arsenic metabolism kinetics and toxicity risk profiles.
AB - Background: Exposure to inorganic arsenic (iAs), a class I carcinogen, affects several hundred million people worldwide. Once absorbed, iAs is converted to monomethylated (MMA) and then dimethylated forms (DMA), with methylation facilitating urinary excretion. The abundance of each species in urine relative to their sum (iAs%, MMA%, and DMA%) varies across individuals, reflecting differences in arsenic metabolism capacity. Methods: The association of arsenic metabolism phenotypes with participant characteristics and arsenical skin lesions was characterized among 4,794 participants in the Health Effects of Arsenic Longitudinal Study (Araihazar, Bangladesh). Metabolism phenotypes include those obtained from principal component (PC) analysis of arsenic species. Results: Two independent PCs were identified: PC1 appears to represent capacity to produce DMA (second methylation step), and PC2 appears to represent capacity to convert iAs toMMA(first methylation step). PC1 was positively associated (P <0.05) with age, female sex, and BMI, while negatively associated with smoking, arsenic exposure, education, and land ownership. PC2 was positively associated with age and education but negatively associated with female sex and BMI. PC2 was positively associated with skin lesion status, while PC1 was not. 10q24.32/AS3MT region polymorphisms were strongly associated with PC1, but not PC2. Patterns of association for most variables were similar for PC1 and DMA%, and for PC2 and MMA% with the exception of arsenic exposure and SNP associations. Conclusions: Two distinct arsenic metabolism phenotypes show unique associations with age, sex, BMI, 10q24.32 polymorphisms, and skin lesions. Impact: This work enhances our understanding of arsenic metabolism kinetics and toxicity risk profiles.
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U2 - 10.1158/1055-9965.EPI-15-0718
DO - 10.1158/1055-9965.EPI-15-0718
M3 - Article
C2 - 26677206
AN - SCOPUS:84957803414
SN - 1055-9965
VL - 25
SP - 381
EP - 390
JO - Cancer Epidemiology Biomarkers and Prevention
JF - Cancer Epidemiology Biomarkers and Prevention
IS - 2
ER -