| Literature DB >> 32791108 |
Katya Frazier1, Vanessa A Leone2.
Abstract
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.Entities:
Mesh:
Year: 2020 PMID: 32791108 PMCID: PMC7518153 DOI: 10.1016/j.chom.2020.07.015
Source DB: PubMed Journal: Cell Host Microbe ISSN: 1931-3128 Impact factor: 21.023