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Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes.
Cell Host & Microbe ( IF 30.3 ) Pub Date : 2020-07-02 , DOI: 10.1016/j.chom.2020.06.004
Sandra Reitmeier 1 , Silke Kiessling 1 , Thomas Clavel 2 , Markus List 3 , Eduardo L Almeida 4 , Tarini S Ghosh 4 , Klaus Neuhaus 5 , Harald Grallert 6 , Jakob Linseisen 7 , Thomas Skurk 5 , Beate Brandl 5 , Taylor A Breuninger 6 , Martina Troll 6 , Wolfgang Rathmann 8 , Birgit Linkohr 6 , Hans Hauner 9 , Matthias Laudes 10 , Andre Franke 11 , Caroline I Le Roy 12 , Jordana T Bell 12 , Tim Spector 12 , Jan Baumbach 3 , Paul W O'Toole 4 , Annette Peters 13 , Dirk Haller 1
Affiliation  

Lifestyle, obesity, and the gut microbiome are important risk factors for metabolic disorders. We demonstrate in 1,976 subjects of a German population cohort (KORA) that specific microbiota members show 24-h oscillations in their relative abundance and identified 13 taxa with disrupted rhythmicity in type 2 diabetes (T2D). Cross-validated prediction models based on this signature similarly classified T2D. In an independent cohort (FoCus), disruption of microbial oscillation and the model for T2D classification was confirmed in 1,363 subjects. This arrhythmic risk signature was able to predict T2D in 699 KORA subjects 5 years after initial sampling, being most effective in combination with BMI. Shotgun metagenomic analysis functionally linked 26 metabolic pathways to the diurnal oscillation of gut bacteria. Thus, a cohort-specific risk pattern of arrhythmic taxa enables classification and prediction of T2D, suggesting a functional link between circadian rhythms and the microbiome in metabolic diseases.



中文翻译:

心律失常的肠道微生物组特征可预测2型糖尿病的风险。

生活方式,肥胖和肠道微生物组是代谢异常的重要危险因素。我们在1976名德国人口队列(KORA)的受试者中证明,特定的微生物群成员在其相对丰度中表现出24小时的振荡,并确定了2类糖尿病(T2D)的节律性受到破坏的13个分类群。基于此签名的交叉验证预测模型对T2D进行了类似分类。在一个独立的研究组(FoCus)中,在1,363名受试者中证实了微生物振荡的破坏和T2D分类模型。这种心律失常风险特征能够在初始采样后5年内预测699名KORA受试者的T2D,与BMI结合使用最有效。弹枪的宏基因组分析功能性地将26种代谢途径与肠道细菌的昼夜振荡联系起来。从而,

更新日期:2020-08-12
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