Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Chemosphere. 2023 Dec;345:140536. doi: 10.1016/j.chemosphere.2023.140536. Epub 2023 Oct 27.
Growing studies investigated the association of arsenic metabolism with type 2 diabetes (T2D), however, the epidemiological evidence is inconsistent. In addition, the interaction of arsenic metabolism-related genetic risk score (GRS)-arsenic on T2D risk was unclear. The present study aimed to evaluate the association of arsenic metabolism efficiency [inorganic arsenic (iAs)%, monomethylarsonic acid (MMA)%, and dimethylarsinic acid (DMA%)] with T2D risk. Moreover, the relationship of GRS and arsenic metabolism efficiency and the interaction of GRS-arsenic on T2D were investigated. Age- and sex-matched new-onset diabetes case-control study derived from the Dongfeng-Tongji cohort was conducted and 996 pairs participants were included in this study. The leave-one-out approach was used to evaluate the association of arsenic metabolism efficiency with T2D risk. The GRS and weight GRS (wGRS) were calculated based on 79 candidate SNPs. We estimated the relationship of GRS with arsenic metabolism efficiency by linear regression model. The interaction of GRS-arsenic on T2D was assessed by adding a multiplicative interaction term (GRS × arsenic) in the logistic regression models. Urinary iAs% was positively associated with T2D risk, and the OR (95% CI) was 1.06 (1.01, 1.12). MMA% and PMI were negatively associated with T2D risk, and the ORs (95% CI) were 0.87 (0.78, 0.97) and 0.64 (0.47, 0.86), respectively. Urinary DMA, As, and As were positively associated with T2D risk. Similar relationships were found between arsenic metabolites and levels of FPG and HbA1c. Moreover, arsenic metabolism-related GRS/wGRS was positively associated with MMA% but negatively associated with DMA%. Genetic predisposition to arsenic metabolism modified the association of inorganic arsenic with T2D risk (P = 0.033). Taken together, lower arsenic primary metabolism efficiency (higher iAs% and lower MMA%) may increase T2D risk. Genetic predisposition to arsenic metabolism was associated with arsenic metabolism efficiency, and might modify the association of inorganic arsenic with T2D risk.
越来越多的研究探讨了砷代谢与 2 型糖尿病(T2D)之间的关联,但流行病学证据并不一致。此外,砷代谢相关遗传风险评分(GRS)-砷对 T2D 风险的相互作用尚不清楚。本研究旨在评估砷代谢效率[无机砷(iAs)%、一甲基砷酸(MMA)%和二甲基砷酸(DMA)%]与 T2D 风险之间的关联。此外,还研究了 GRS 与砷代谢效率的关系以及 GRS-砷对 T2D 的相互作用。本研究基于东风-同济队列开展了一项新诊断糖尿病病例对照研究,并纳入了 996 对匹配的病例对照。采用留一法评估了砷代谢效率与 T2D 风险之间的关联。GRS 和体重 GRS(wGRS)是基于 79 个候选 SNP 计算得出的。我们通过线性回归模型估计了 GRS 与砷代谢效率之间的关系。通过在逻辑回归模型中添加一个乘法交互项(GRS×砷),评估了 GRS-砷对 T2D 的相互作用。尿 iAs%与 T2D 风险呈正相关,OR(95%CI)为 1.06(1.01,1.12)。MMA%和 PMI 与 T2D 风险呈负相关,ORs(95%CI)分别为 0.87(0.78,0.97)和 0.64(0.47,0.86)。尿 DMA、As 和 As 与 T2D 风险呈正相关。在 FPG 和 HbA1c 水平上也发现了类似的砷代谢物与代谢物之间的关系。此外,砷代谢相关的 GRS/wGRS 与 MMA%呈正相关,与 DMA%呈负相关。砷代谢的遗传易感性改变了无机砷与 T2D 风险之间的关联(P=0.033)。总之,较低的砷初级代谢效率(较高的 iAs%和较低的 MMA%)可能会增加 T2D 风险。砷代谢的遗传易感性与砷代谢效率有关,并可能改变无机砷与 T2D 风险之间的关联。