Arsenic exposure, diabetes-related genes and diabetes prevalence in a general population from Spain.
Arsenic exposure, diabetes-related genes and diabetes prevalence in a general population from Spain.
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DOI：
10.1016/j.envpol.2018.01.008
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发表时间：
2018-04
期刊：
影响因子：
--
通讯作者：
Tellez-Plaza M
中科院分区：
文献类型：
--
作者：
Grau-Perez M;Navas-Acien A;Galan-Chilet I;Briongos-Figuero LS;Morchon-Simon D;Bermudez JD;Crainiceanu CM;de Marco G;Rentero-Garrido P;Garcia-Barrera T;Gomez-Ariza JL;Casasnovas JA;Martin-Escudero JC;Redon J;Chaves FJ;Tellez-Plaza M
无机砷暴露可能与糖尿病有关，但在低-中等水平的证据是不够的。糖尿病相关基因的多态性与糖尿病风险有关。我们在Hortega研究中评估了无机砷暴露与糖尿病的关系，Hortega研究是西班牙巴利亚多利德一般人群的代表性样本。对1,451名成年人的尿砷总量进行了测量。尿砷形态可在295个随机选择的参与者。为了解释无毒海产品砷引入的混淆，我们设计了一个多重插补模型来预测缺失的砷甜菜碱水平。糖尿病患病率为8.3%。总砷的几何平均值为66.0 μg/g。调整后的比值比（95%置信区间）糖尿病比较总砷的最高和最低三分位数分别为1.76（1.01，3.09）和2.14（1.47，3.11）砷甜菜碱调整前后。IL 8 RA、TXN、NR 3C 2、COX 5A和GCLC等基因的多态性提示尿总砷与糖尿病有差异性关联。研究结果支持砷对糖尿病的作用，以及在海鲜摄入量高的人群中控制海鲜砷的重要性。建议砷基因相互作用需要在更大的研究中确认。在西班牙一般人群中，低-中度无机砷暴露，增加砷暴露，评估尿砷浓度，与糖尿病患病率较高。在调整尿砷甜菜碱后，报告的相关性更强，反映了海鲜摄入量高的人群中海鲜消费的重要性。特定基因型的携带者可能会增加砷相关糖尿病的易感性，尽管需要更大规模的研究来证实这些提示性的发现。
Inorganic arsenic exposure may be associated with diabetes, but the evidence at low-moderate levels is not sufficient. Polymorphisms in diabetes-related genes have been involved in diabetes risk. We evaluated the association of inorganic arsenic exposure on diabetes in the Hortega Study, a representative sample of a general population from Valladolid, Spain. Total urine arsenic was measured in 1,451 adults. Urine arsenic speciation was available in 295 randomly selected participants. To account for the confounding introduced by non-toxic seafood arsenicals, we designed a multiple imputation model to predict the missing arsenobetaine levels. The prevalence of diabetes was 8.3%. The geometric mean of total arsenic was 66.0 μg/g. The adjusted odds ratios (95% confidence interval) for diabetes comparing the highest with the lowest tertile of total arsenic were 1.76 (1.01, 3.09) and 2.14 (1.47, 3.11) before and after arsenobetaine adjustment, respectively. Polymorphisms in several genes including IL8RA, TXN, NR3C2, COX5A and GCLC showed suggestive differential associations of urine total arsenic with diabetes. The findings support the role of arsenic on diabetes and the importance of controlling for seafood arsenicals in populations with high seafood intake. Suggestive arsenic-gene interactions require confirmation in larger studies. In a general population from Spain with low-moderate inorganic arsenic exposure, increased arsenic exposure, assessed as urine arsenic concentrations, was associated with higher diabetes prevalence. The reported association was stronger after adjustment for urine arsenobetaine reflecting the importance of accounting for seafood consumption in populations with high seafood intake. Carriers of specific genotypes may have increased susceptibility to arsenic-related diabetes, although larger studies are needed to confirm these suggestive findings.
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影响因子：
30.8
作者：
DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium;Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium;South Asian Type 2 Diabetes (SAT2D) Consortium;Mexican American Type 2 Diabetes (MAT2D) Consortium;Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) Consortium;Mahajan A;Go MJ;Zhang W;Below JE;Gaulton KJ;Ferreira T;Horikoshi M;Johnson AD;Ng MC;Prokopenko I;Saleheen D;Wang X;Zeggini E;Abecasis GR;Adair LS;Almgren P;Atalay M;Aung T;Baldassarre D;Balkau B;Bao Y;Barnett AH;Barroso I;Basit A;Been LF;Beilby J;Bell GI;Benediktsson R;Bergman RN;Boehm BO;Boerwinkle E;Bonnycastle LL;Burtt N;Cai Q;Campbell H;Carey J;Cauchi S;Caulfield M;Chan JC;Chang LC;Chang TJ;Chang YC;Charpentier G;Chen CH;Chen H;Chen YT;Chia KS;Chidambaram M;Chines PS;Cho NH;Cho YM;Chuang LM;Collins FS;Cornelis MC;Couper DJ;Crenshaw AT;van Dam RM;Danesh J;Das D;de Faire U;Dedoussis G;Deloukas P;Dimas AS;Dina C;Doney AS;Donnelly PJ;Dorkhan M;van Duijn C;Dupuis J;Edkins S;Elliott P;Emilsson V;Erbel R;Eriksson JG;Escobedo J;Esko T;Eury E;Florez JC;Fontanillas P;Forouhi NG;Forsen T;Fox C;Fraser RM;Frayling TM;Froguel P;Frossard P;Gao Y;Gertow K;Gieger C;Gigante B;Grallert H;Grant GB;Grrop LC;Groves CJ;Grundberg E;Guiducci C;Hamsten A;Han BG;Hara K;Hassanali N;Hattersley AT;Hayward C;Hedman AK;Herder C;Hofman A;Holmen OL;Hovingh K;Hreidarsson AB;Hu C;Hu FB;Hui J;Humphries SE;Hunt SE;Hunter DJ;Hveem K;Hydrie ZI;Ikegami H;Illig T;Ingelsson E;Islam M;Isomaa B;Jackson AU;Jafar T;James A;Jia W;Jöckel KH;Jonsson A;Jowett JB;Kadowaki T;Kang HM;Kanoni S;Kao WH;Kathiresan S;Kato N;Katulanda P;Keinanen-Kiukaanniemi KM;Kelly AM;Khan H;Khaw KT;Khor CC;Kim HL;Kim S;Kim YJ;Kinnunen L;Klopp N;Kong A;Korpi-Hyövälti E;Kowlessur S;Kraft P;Kravic J;Kristensen MM;Krithika S;Kumar A;Kumate J;Kuusisto J;Kwak SH;Laakso M;Lagou V;Lakka TA;Langenberg C;Langford C;Lawrence R;Leander K;Lee JM;Lee NR;Li M;Li X;Li Y;Liang J;Liju S;Lim WY;Lind L;Lindgren CM;Lindholm E;Liu CT;Liu JJ;Lobbens S;Long J;Loos RJ;Lu W;Luan J;Lyssenko V;Ma RC;Maeda S;Mägi R;Männisto S;Matthews DR;Meigs JB;Melander O;Metspalu A;Meyer J;Mirza G;Mihailov E;Moebus S;Mohan V;Mohlke KL;Morris AD;Mühleisen TW;Müller-Nurasyid M;Musk B;Nakamura J;Nakashima E;Navarro P;Ng PK;Nica AC;Nilsson PM;Njølstad I;Nöthen MM;Ohnaka K;Ong TH;Owen KR;Palmer CN;Pankow JS;Park KS;Parkin M;Pechlivanis S;Pedersen NL;Peltonen L;Perry JR;Peters A;Pinidiyapathirage JM;Platou CG;Potter S;Price JF;Qi L;Radha V;Rallidis L;Rasheed A;Rathman W;Rauramaa R;Raychaudhuri S;Rayner NW;Rees SD;Rehnberg E;Ripatti S;Robertson N;Roden M;Rossin EJ;Rudan I;Rybin D;Saaristo TE;Salomaa V;Saltevo J;Samuel M;Sanghera DK;Saramies J;Scott J;Scott LJ;Scott RA;Segrè AV;Sehmi J;Sennblad B;Shah N;Shah S;Shera AS;Shu XO;Shuldiner AR;Sigurđsson G;Sijbrands E;Silveira A;Sim X;Sivapalaratnam S;Small KS;So WY;Stančáková A;Stefansson K;Steinbach G;Steinthorsdottir V;Stirrups K;Strawbridge RJ;Stringham HM;Sun Q;Suo C;Syvänen AC;Takayanagi R;Takeuchi F;Tay WT;Teslovich TM;Thorand B;Thorleifsson G;Thorsteinsdottir U;Tikkanen E;Trakalo J;Tremoli E;Trip MD;Tsai FJ;Tuomi T;Tuomilehto J;Uitterlinden AG;Valladares-Salgado A;Vedantam S;Veglia F;Voight BF;Wang C;Wareham NJ;Wennauer R;Wickremasinghe AR;Wilsgaard T;Wilson JF;Wiltshire S;Winckler W;Wong TY;Wood AR;Wu JY;Wu Y;Yamamoto K;Yamauchi T;Yang M;Yengo L;Yokota M;Young R;Zabaneh D;Zhang F;Zhang R;Zheng W;Zimmet PZ;Altshuler D;Bowden DW;Cho YS;Cox NJ;Cruz M;Hanis CL;Kooner J;Lee JY;Seielstad M;Teo YY;Boehnke M;Parra EJ;Chambers JC;Tai ES;McCarthy MI;Morris AP
通讯作者：
Morris AP
影响因子：
2.5
作者：
Díaz, D;Krejsa, CM;Kavanagh, TJ
通讯作者：
Kavanagh, TJ
影响因子：
10.4
作者：
通讯作者：
--
影响因子：
8.3
作者：
James, Katherine A.;Marshall, Julie A.;Byers, Tim E.
通讯作者：
Byers, Tim E.
影响因子：
5
作者：
Kim, Nan Hee;Mason, Clinton C.;Sandler, Dale P.
通讯作者：
Sandler, Dale P.