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A Novel Index for Predicting Health Status Using Species-level Gut Microbiome Profiling

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NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP247758
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Development of a biologically-interpretable and robust metric for evaluating health status based on gut microbiome remains an important target in human microbiome research. We introduce the Gut Microbiome Health Index (GMHI), a computational tool that determines the degree to which a gut microbiome profile reflects wellness or illness. GMHI was formulated based on microbial species specific to healthy gut ecosystems. These were identified through a multi-study, integrative analysis on 4347 human stool shotgun metagenomes from 34 published studies across healthy and 12 non-healthy conditions. When demonstrated on our population-scale meta-dataset, GMHI is the most robust and consistent predictor of health compared to alpha-diversity indices generally considered as markers for gut health or dysbiosis. Validation of GMHI on 679 samples from 9 additional studies resulted in remarkable reproducibility in distinguishing healthy and non-healthy groups. Our findings suggest that gut taxonomic signatures may serve as universal predictors of health and disease.
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2020-08-17
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