The athlete microbiome project: integrating deep learning to reveal microbial associations of physical fitness
Year: 2026
Type: article
Study design: Observational Study
Abstract: From 855 gut microbiome samples spanning three continents, we identify microbial patterns associated with athletic status and physical fitness. We show that athletic status can be predicted from microbiome signatures [balanced accuracy ≈ 91%; area under the receiver operating characteristic curve (AUC) = 0.97]. Key taxa identified across models were linked to maximum oxygen uptake (Vo 2max ) and % fat-free mass, highlighting multivariate microbiome features relevant to human performance.
Source: Physiological Genomics
Language: English
Topic: Gut microbiota and health
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W7142226971