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Gut microbes exhibit diurnal rhythmicity, and disruptions in this rhythmicity potentially impact host health. In this issue of Cell Host Microbe, Reitmeier et al. (202 employ timestamped gut microbiome sequencing data from human subjects coupled with machine learning to identify microbial rhythmicity patterns that predict Type 2 Diabetes incidence.The story of twentieth century biomedical breakthroughs could be told through cholesterol. Revolutions in genetics, molecular biology, genomics, and antibody-based therapies defined cho