| Autor: |
Nicholas Chia, Heidi Nelson, Konstantinos N. Lazaridis, Vinod K. Gupta, John M. Davis, Utpal Bakshi, Kevin Y. Cunningham, Jaeyun Sung, Minsuk Kim |
| Rok vydání: |
2020 |
| Předmět: |
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| DOI: |
10.1101/2020.02.24.962100 |
| Popis: |
The development of a biologically-interpretable and robust metric that provides clear insight into the general health status (i.e. healthy or non-healthy) of one’s gut microbiome remains an important target in human microbiome research. We introduce the Gut Microbiome Health Index (GMHI), a mathematical formula that determines the degree to which a gut microbiome profile reflects good or adverse health. GMHI was formulated based on microbial species specific to healthy gut ecosystems. These species were identified through a multi-study, integrative analysis on 4,347 human stool metagenomes from 34 published studies across healthy and 12 different disease or abnormal bodyweight conditions. When demonstrated on our population-scale meta-dataset, GMHI is the most robust and consistent predictor of general health compared to α-diversity indices commonly considered as markers for gut health. 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 can indeed serve as robust predictors of general health, and highlight the importance of how data sharing efforts can provide broadly-applicable novel discoveries. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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