Gut microbes exhibit diurnal rhythmicity, and disruptions in this rhythmicity potentially impact host health. In this issue of Cell Host & Microbe, Reitmeier et al. (2020) employ timestamped gut microbiome sequencing data from human subjects coupled with machine learning to identify microbial rhythmicity patterns that predict Type 2 Diabetes incidence.

中文翻译：

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微生物群无法在 2 型糖尿病中保持时间。

肠道微生物表现出昼夜节律性，这种节律性的中断可能会影响宿主健康。在本期Cell Host & Microbe 中，Reitmeier 等人。(2020) 使用来自人类受试者的带时间戳的肠道微生物组测序数据结合机器学习来识别预测 2 型糖尿病发病率的微生物节律模式。