遗传学报2024,Vol.51Issue(1) :75-86.DOI:10.1016/j.jgg.2023.08.005

Microbiome and metabolome dysbiosis analysis in impaired glucose tolerance for the prediction of progression to diabetes mellitus

Boxun Zhang Xuan Zhang Zhen Luo Jixiang Ren Xiaotong Yu Haiyan Zhao Yitian Wang Wenhui Zhang Weiwei Tian Xiuxiu Wei Qiyou Ding Haoyu Yang Zishan Jin Xiaolin Tong Jun Wang Linhua Zhao
遗传学报2024,Vol.51Issue(1) :75-86.DOI:10.1016/j.jgg.2023.08.005

Microbiome and metabolome dysbiosis analysis in impaired glucose tolerance for the prediction of progression to diabetes mellitus

Boxun Zhang 1Xuan Zhang 2Zhen Luo 3Jixiang Ren 4Xiaotong Yu 5Haiyan Zhao 6Yitian Wang 7Wenhui Zhang 8Weiwei Tian 6Xiuxiu Wei 9Qiyou Ding 1Haoyu Yang 1Zishan Jin 10Xiaolin Tong 11Jun Wang 8Linhua Zhao1
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作者信息

  • 1. Institute of Metabolic Diseases,Guang'anmen Hospital,China Academy of Chinese Medical Sciences,Beijing 100053,China
  • 2. Faculty of Biological Science and Technology,Baotou Teachers College,Baotou,Inner Mongolia 014030,China;CAS Key Laboratory of Pathogenic Microbiology and Immunology,Institute of Microbiology,Chinese Academy of Sciences,Beijing 100101,China
  • 3. Infinitus(China)Company Ltd,Guangzhou,Guangdong 510405,China
  • 4. Affiliated Hospital of Changchun University of Chinese Medicine,Changchun,Jilin 130021,China
  • 5. Department of Endocrinology,Guang'anmen Hospital,China Academy of Chinese Medical Sciences,Beijing 100053,China
  • 6. Xinjiekou Community Health Service Center in Xicheng District,Beijing 100035,China
  • 7. Department of Spleen and Stomach,Shenzhen Traditional Chinese Medicine Hospital,Shenzhen,Guangdong 518033,China
  • 8. CAS Key Laboratory of Pathogenic Microbiology and Immunology,Institute of Microbiology,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China
  • 9. Beijing University of Chinese Medicine,Beijing 100105,China
  • 10. Institute of Metabolic Diseases,Guang'anmen Hospital,China Academy of Chinese Medical Sciences,Beijing 100053,China;Beijing University of Chinese Medicine,Beijing 100105,China
  • 11. Institute of Metabolic Diseases,Guang'anmen Hospital,China Academy of Chinese Medical Sciences,Beijing 100053,China;Northeast Asia Institute of Traditional Chinese Medicine,Changchun University of Chinese Medicine,Changchun,Jilin 130117,China
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Abstract

Gut microbiota and circulating metabolite dysbiosis predate important pathological changes in glucose metabolic disorders;however,comprehensive studies on impaired glucose tolerance(IGT),a diabetes mellitus(DM)precursor,are lacking.Here,we perform metagenomic sequencing and metabolomics on 47 pairs of individuals with IGT and newly diagnosed DM and 46 controls with normal glucose tolerance(NGT);patients with IGT are followed up after 4 years for progression to DM.Analysis of baseline data reveals significant differences in gut microbiota and serum metabolites among the IGT,DM,and NGT groups.In addition,13 types of gut microbiota and 17 types of circulating metabolites showed significant differences at baseline before IGT progressed to DM,including higher levels of Eggerthella unclassified,Coprobacillus unclassified,Clostridium ramosum,L-valine,L-norleucine,and L-isoleucine,and lower levels of Eubacte-rium eligens,Bacteroides faecis,Lachnospiraceae bacterium 3_1_46FAA,Alistipes senegalensis,Mega-spaera elsdenii,Clostridium perfringens,α-linolenic acid,10E,12Z-octadecadienoic acid,and dodecanoic acid.A random forest model based on differential intestinal microbiota and circulating metabolites can predict the progression from IGT to DM(AUC=0.87).These results suggest that microbiome and metabolome dysbiosis occur in individuals with IGT and have important predictive values and potential for intervention in preventing IGT from progressing to DM.

Key words

Impaired glucose tolerance/Diabetes mellitus/Gut microbiota/Metabolomics

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基金项目

Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(ZYYCXTD-D-202001)

National Natural Science Foundation of China(82104835)

出版年

2024
遗传学报
中国遗传学会 中国科学院遗传与发育生物学研究所

遗传学报

CSTPCD
影响因子:0.821
ISSN:1673-8527
参考文献量56
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