Arrhythmic gut microbiome signatures for risk profiling of Type-2 Diabetes
Arrhythmic gut microbiome signatures for risk profiling of Type-2 Diabetes
Summary To combat the epidemic increase in Type-2-Diabetes (T2D), risk factors need to be identified. Diet, lifestyle and the gut microbiome are among the most important factors affecting metabolic health. We demonstrate in 1,976 subjects of a prospective population cohort that specific gut microbiota members show diurnal oscillations in their relative abundance and we identified 13 taxa with disrupted rhythmicity in T2D. Prediction models based on this signature classified T2D with an area under the curve of 73%. BMI as microbiota-independent risk marker further improved diagnostic classification of T2D. The validity of this arrhythmic risk signature to predict T2D was confirmed in 699 KORA subjects five years after initial sampling. Shotgun metagenomic analysis linked 26 pathways associated with xenobiotic, amino acid, fatty acid, and taurine metabolism to the diurnal oscillation of gut bacteria. In summary, we determined a cohort-specific risk pattern of arrhythmic taxa which significantly contributes to the classification and prediction of T2D, highlighting the importance of circadian rhythmicity of the microbiome in targeting metabolic human diseases.
Clavel Thomas、Ghosh Tarini S.、Troll Martina、Le Roy Caroline I.、Spector Tim、O?ˉToole Peter W.、Peters Annette、List Markus、Grallert Harald、Bell Jordana T.、Linkohr Birgit、Kie?ling Silke、Franke Andre、Haller Dirk、Baumbach Jan、Rathmann Wolfgang、Reitmeier Sandra、Neuhaus Klaus、Almeida Eduardo L.
ZIEL Institute for Food & Health, Technical University of Munich||Functional Microbiome Research Group, Institute of Medical Microbiology, RWTH University HospitalSchool of Microbiology and APC Microbiome Ireland, University College CorkInstitute of Epidemiology, Helmholtz Zentrum MunichDepartment of Twin Research & Genetic Epidemiology, King?ˉs College LondonDepartment of Twin Research & Genetic Epidemiology, King?ˉs College LondonSchool of Microbiology and APC Microbiome Ireland, University College CorkInstitute of Epidemiology, Helmholtz Zentrum Munich||German Center for Diabetes Research (DZD)||Chair of Epidemiology, Ludwig-Maximilians UniversityChair of Experimental Bioinformatics, Technical University of MunichInstitute of Epidemiology, Helmholtz Zentrum MunichDepartment of Twin Research & Genetic Epidemiology, King?ˉs College LondonInstitute of Epidemiology, Helmholtz Zentrum MunichZIEL Institute for Food & Health, Technical University of Munich||Chair of Nutrition and Immunology, Technical University of MunichInstitute of Clinical Molecular Biology, Christian-Albrechts-University of KielZIEL Institute for Food & Health, Technical University of Munich||Chair of Nutrition and Immunology, Technical University of MunichChair of Experimental Bioinformatics, Technical University of MunichInstitute of Epidemiology, Helmholtz Zentrum MunichZIEL Institute for Food & Health, Technical University of Munich||Chair of Nutrition and Immunology, Technical University of MunichZIEL Institute for Food & Health, Technical University of MunichSchool of Microbiology and APC Microbiome Ireland, University College Cork
医药卫生理论医学研究方法微生物学
Clavel Thomas,Ghosh Tarini S.,Troll Martina,Le Roy Caroline I.,Spector Tim,O?ˉToole Peter W.,Peters Annette,List Markus,Grallert Harald,Bell Jordana T.,Linkohr Birgit,Kie?ling Silke,Franke Andre,Haller Dirk,Baumbach Jan,Rathmann Wolfgang,Reitmeier Sandra,Neuhaus Klaus,Almeida Eduardo L..Arrhythmic gut microbiome signatures for risk profiling of Type-2 Diabetes[EB/OL].(2025-03-28)[2025-08-03].https://www.biorxiv.org/content/10.1101/2019.12.27.889865.点此复制
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