Literature DB >> 35998626

Amino acids, microbiota-related metabolites, and the risk of incident diabetes among normoglycemic Chinese adults: Findings from the 4C study.

Shuangyuan Wang1, Mian Li1, Hong Lin1, Guixia Wang2, Yu Xu1, Xinjie Zhao3, Chunyan Hu1, Yi Zhang1, Ruizhi Zheng1, Ruying Hu4, Lixin Shi5, Rui Du1, Qing Su6, Jiqiu Wang1, Yuhong Chen1, Xuefeng Yu7, Li Yan8, Tiange Wang1, Zhiyun Zhao1, Ruixin Liu1, Xiaolin Wang3, Qi Li3, Guijun Qin9, Qin Wan10, Gang Chen11, Min Xu1, Meng Dai1, Di Zhang1, Xulei Tang12, Zhengnan Gao13, Feixia Shen14, Zuojie Luo15, Yingfen Qin15, Li Chen16, Yanan Huo17, Qiang Li18, Zhen Ye4, Yinfei Zhang19, Chao Liu20, Youmin Wang21, Shengli Wu22, Tao Yang23, Huacong Deng24, Jiajun Zhao25, Shenghan Lai26, Yiming Mu27, Lulu Chen28, Donghui Li29, Guowang Xu3, Guang Ning30, Weiqing Wang31, Yufang Bi32, Jieli Lu33.   

Abstract

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.
Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  amino acid; diabetes; mediation; microbiota-related metabolites; risk factor

Mesh:

Substances:

Year:  2022        PMID: 35998626      PMCID: PMC9512668          DOI: 10.1016/j.xcrm.2022.100727

Source DB:  PubMed          Journal:  Cell Rep Med        ISSN: 2666-3791


  50 in total

1.  Early Life Famine Exposure, Ideal Cardiovascular Health Metrics, and Risk of Incident Diabetes: Findings From the 4C Study.

Authors:  Jieli Lu; Mian Li; Yu Xu; Yufang Bi; Yingfen Qin; Qiang Li; Tiange Wang; Ruying Hu; Lixin Shi; Qing Su; Min Xu; Zhiyun Zhao; Yuhong Chen; Xuefeng Yu; Li Yan; Rui Du; Chunyan Hu; Guijun Qin; Qin Wan; Gang Chen; Meng Dai; Di Zhang; Zhengnan Gao; Guixia Wang; Feixia Shen; Zuojie Luo; Li Chen; Yanan Huo; Zhen Ye; Xulei Tang; Yinfei Zhang; Chao Liu; Youmin Wang; Shengli Wu; Tao Yang; Huacong Deng; Donghui Li; Shenghan Lai; Zachary T Bloomgarden; Lulu Chen; Jiajun Zhao; Yiming Mu; Guang Ning; Weiqing Wang
Journal:  Diabetes Care       Date:  2020-06-04       Impact factor: 19.112

2.  2-Aminoadipic acid protects against obesity and diabetes.

Authors:  Wang-Yang Xu; Yan Shen; Houbao Zhu; Junhui Gao; Chen Zhang; Lingyun Tang; Shun-Yuan Lu; Chun-Ling Shen; Hong-Xin Zhang; Ziwei Li; Peng Meng; Ying-Han Wan; Jian Fei; Zhu-Gang Wang
Journal:  J Endocrinol       Date:  2019-11       Impact factor: 4.286

3.  Microbiota-Related Metabolites and the Risk of Type 2 Diabetes.

Authors:  Jagadish Vangipurapu; Lilian Fernandes Silva; Teemu Kuulasmaa; Ulf Smith; Markku Laakso
Journal:  Diabetes Care       Date:  2020-04-15       Impact factor: 19.112

Review 4.  Gut Microbiota Regulation of Tryptophan Metabolism in Health and Disease.

Authors:  Allison Agus; Julien Planchais; Harry Sokol
Journal:  Cell Host Microbe       Date:  2018-06-13       Impact factor: 21.023

5.  Metabolic signatures and risk of type 2 diabetes in a Chinese population: an untargeted metabolomics study using both LC-MS and GC-MS.

Authors:  Yonghai Lu; Yeli Wang; Choon-Nam Ong; Tavintharan Subramaniam; Hyung Won Choi; Jian-Min Yuan; Woon-Puay Koh; An Pan
Journal:  Diabetologia       Date:  2016-08-11       Impact factor: 10.122

6.  Diabetes risk and amino acid profiles: cross-sectional and prospective analyses of ethnicity, amino acids and diabetes in a South Asian and European cohort from the SABRE (Southall And Brent REvisited) Study.

Authors:  Therese Tillin; Alun D Hughes; Qin Wang; Peter Würtz; Mika Ala-Korpela; Naveed Sattar; Nita G Forouhi; Ian F Godsland; Sophie V Eastwood; Paul M McKeigue; Nish Chaturvedi
Journal:  Diabetologia       Date:  2015-02-19       Impact factor: 10.122

Review 7.  The Emerging Role of Branched-Chain Amino Acids in Insulin Resistance and Metabolism.

Authors:  Mee-Sup Yoon
Journal:  Nutrients       Date:  2016-07-01       Impact factor: 5.717

8.  Tryptophan Predicts the Risk for Future Type 2 Diabetes.

Authors:  Tianlu Chen; Xiaojiao Zheng; Xiaojing Ma; Yuqian Bao; Yan Ni; Cheng Hu; Cynthia Rajani; Fengjie Huang; Aihua Zhao; Weiping Jia; Wei Jia
Journal:  PLoS One       Date:  2016-09-06       Impact factor: 3.240

9.  2-Aminoadipic acid (2-AAA) as a potential biomarker for insulin resistance in childhood obesity.

Authors:  Hyo Jung Lee; Han Byul Jang; Won-Ho Kim; Keon Jae Park; Kwang Youl Kim; Sang Ick Park; Hye- Ja Lee
Journal:  Sci Rep       Date:  2019-09-20       Impact factor: 4.379

10.  Serum acylcarnitines and amino acids and risk of type 2 diabetes in a multiethnic Asian population.

Authors:  Samuel H Gunther; Chin Meng Khoo; E-Shyong Tai; Xueling Sim; Jean-Paul Kovalik; Jianhong Ching; Jeannette J Lee; Rob M van Dam
Journal:  BMJ Open Diabetes Res Care       Date:  2020-10
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