Amino acids, microbiota-related metabolites, and the risk of incident diabetes among normoglycemic Chinese adults: Findings from the 4C study.
Amino acids, microbiota-related metabolites, and the risk of incident diabetes among normoglycemic Chinese adults: Findings from the 4C study.
复制标题
血糖正常的中国成年人的氨基酸、微生物相关代谢物和糖尿病发生风险：4C 研究的结果
DOI：
10.1016/j.xcrm.2022.100727
复制
发表时间：
2022-09-20
影响因子：
14.3
通讯作者：
Lu, Jieli
中科院分区：
文献类型：
--
作者：
Wang, Shuangyuan;Li, Mian;Lin, Hong;Wang, Guixia;Xu, Yu;Zhao, Xinjie;Hu, Chunyan;Zhang, Yi;Zheng, Ruizhi;Hu, Ruying;Shi, Lixin;Du, Rui;Su, Qing;Wang, Jiqiu;Chen, Yuhong;Yu, Xuefeng;Yan, Li;Wang, Tiange;Zhao, Zhiyun;Liu, Ruixin;Wang, Xiaolin;Li, Qi;Qin, Guijun;Wan, Qin;Chen, Gang;Xu, Min;Dai, Meng;Zhang, Di;Tang, Xulei;Gao, Zhengnan;Shen, Feixia;Luo, Zuojie;Qin, Yingfen;Chen, Li;Huo, Yanan;Li, Qiang;Ye, Zhen;Zhang, Yinfei;Liu, Chao;Wang, Youmin;Wu, Shengli;Yang, Tao;Deng, Huacong;Zhao, Jiajun;Lai, Shenghan;Mu, Yiming;Chen, Lulu;Li, Donghui;Xu, Guowang;Ning, Guang;Wang, Weiqing;Bi, Yufang;Lu, Jieli
尽管先前的研究表明氨基酸（AAs）和微生物相关代谢物（MRM）与2型糖尿病（T2 DM）相关，但在血糖正常人群中的结果仍不清楚。我们检测了来自中国心脏代谢疾病和癌症队列研究（4C）的3，414例糖尿病患者和血糖正常对照者的28种血清AA和22种MRM。在完全校正的logistic回归模型中，支链氨基酸、芳香族氨基酸、天冬酰胺、丙氨酸、谷氨酸、高丝氨酸、2-氨基己二酸、组氨酸、蛋氨酸和脯氨酸的每SD增量与T2 DM事件呈正相关。在MRM组中，血清肉毒碱、N-乙酰色氨酸和尿酸与T2 DM事件呈正相关。因果中介分析表明34个显著的因果中介联系，其中88.2%通过肥胖和血脂。在危险因素-代谢物-糖尿病关联的综合目录中，血清代谢物解释的差异有限。这些结果表明，系统性AA和MRM改变2型糖尿病发病前的配置文件，并支持糖尿病发病机制中的代谢改变的潜在作用。与T2 DM事件相关的氨基酸（AA）和微生物群相关代谢物（MRM）T2 DM发病前血糖正常阶段的系统性AA和MRM变化特征肥胖和脂质介导的AA或MRM与T2 DM之间的联系风险因素解释了血糖正常个体中有限的代谢物差异Wang et al.报告了T2 DM发病前系统的氨基酸和微生物群相关代谢物变化概况。因果关系的调解分析表明，通过肥胖和血脂显着的调解联系。在危险因素-代谢物-糖尿病关联的综合目录中，血清代谢物解释的差异有限。
Although previous studies suggest that amino acids (AAs) and microbiota-related metabolites (MRMs) are associated with type 2 diabetes mellitus (T2DM), the results remain unclear among normoglycemic populations. We test 28 serum AAs and 22 MRMs in 3,414 subjects with incident diabetes and matched normoglycemic controls from the China Cardiometabolic Disease and Cancer Cohort (4C) Study. In fully adjusted logistic regression models, per SD increment of branched-chain AAs, aromatic AAs, asparagine, alanine, glutamic acid, homoserine, 2-aminoadipic acid, histidine, methionine, and proline are positively associated with incident T2DM. In the MRM panel, serum carnitines, N-acetyltryptophan, and uric acid are positively associated with incident T2DM. Causal mediation analyses indicate 34 significant causal mediation linkages, with 88.2% through obesity and lipids. Variances explained in the serum metabolites are modestly limited in the comprehensive catalog of risk factor–metabolite–diabetes associations. These findings reveal that systematic AAs and MRMs change profile before T2DM onset and support a potential role of metabolic alterations in the pathogenesis of diabetes. Amino acids (AA) and microbiota-related metabolites (MRM) related to incident T2DM Systematic AA and MRM changes profile at normoglycemic stage before T2DM onset Obesity and lipids mediated linkages between AAs or MRMs and T2DM Risk factors explained limited metabolite variances among normoglycemic individuals Wang et al. report a systematic amino acids and microbiota-related metabolites change profile before T2DM onset. Causal mediation analyses indicate significant mediation linkages through obesity and lipids. Variances explained in serum metabolites are modestly limited in the comprehensive catalog of risk factor–metabolite–diabetes associations.
登录
查看更多内容
高血浆谷氨酸和低谷氨酰胺与谷氨酸的比率与2型糖尿病有关：predimed试验中的病例 - 霍特研究。
DOI：
10.1016/j.numecd.2019.06.005
发表时间：
2019-10
影响因子：
3.9
作者：
Xiaoran Liu;Yan Zheng;Guasch-Ferre, M.;Ruiz-Canela, M.;Toledo, E.;Clish, C.;Liang, L.;Razquin, C.;Corella, D.;Estruch, R.;Fito, M.;Gomez-Gracia, E.;Aros, F.;Ros, E.;Lapetra, J.;Fiol, M.;Serra-Majem, L.;Papandreou, C.;Martinez-Gonzalez, M. A.;Hu, F. B.;Salas-Salvado, J.
通讯作者：
Salas-Salvado, J.
影响因子：
7.7
作者：
Floegel A;Stefan N;Yu Z;Mühlenbruch K;Drogan D;Joost HG;Fritsche A;Häring HU;Hrabě de Angelis M;Peters A;Roden M;Prehn C;Wang-Sattler R;Illig T;Schulze MB;Adamski J;Boeing H;Pischon T
通讯作者：
Pischon T
影响因子：
37.8
作者：
Cheng S;Rhee EP;Larson MG;Lewis GD;McCabe EL;Shen D;Palma MJ;Roberts LD;Dejam A;Souza AL;Deik AA;Magnusson M;Fox CS;O'Donnell CJ;Vasan RS;Melander O;Clish CB;Gerszten RE;Wang TJ
通讯作者：
Wang TJ
影响因子：
15.8
作者：
Lai, Mi;Liu, Ying;Wheeler, Michael B.
通讯作者：
Wheeler, Michael B.
影响因子：
16.2
作者：
Lu, Jieli;Lam, Sin Man;Wang, Weiqing
通讯作者：
Wang, Weiqing