Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes
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The relative abundances of different bacteria in the gut wax and wane predictably over the course of 24 hours. In people with obesity and type 2 diabetes, however, this regular daily pattern is perturbed — a finding that functionally links circadian rhythms in the gut microbiome with metabolic disease.
A Technical University of Munich–led team used DNA sequencing data from time-stamped stool samples, coupled with machine-learning techniques, to identify 13 taxonomic groups of oscillating gut bacteria that showed disrupted rhythmicity in obese, diabetic individuals.
This arrhythmic signature allowed the researchers to develop a predictive model that, when combined with body mass index, could identify individuals at highest risk of developing type 2 diabetes.
Microbial rhythmicity could thus serve as a potential diagnostic biomarker to improve the care and management of people with type 2 diabetes.
- Cell Host & Microbe 28, 258–272.e6 (2020). doi: 10.1016/j.chom.2020.06.004