A predictive index for health status using species-level gut microbiome profiling

• Published in: Nature communications Vol. 11; no. 1; pp. 4635 - 16
• Main Authors: Gupta, Vinod K., Kim, Minsuk, Bakshi, Utpal, Cunningham, Kevin Y., Davis, John M., Lazaridis, Konstantinos N., Nelson, Heidi, Chia, Nicholas, Sung, Jaeyun
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 15.09.2020; Nature Publishing Group; Nature Portfolio
• Subjects: 49/23; 631/114/2785; 631/326/2565/2134; 692/53; Data retrieval; Datasets; Digestive system; Disease; Diversity indices; Gut microbiota; Human subjects; Humanities and Social Sciences; Independent study; Information sharing; Intestinal microflora; Introduced species; Mathematical models; Microbiomes; Microbiota; Microorganisms; multidisciplinary; Robustness (mathematics); Science; Science (multidisciplinary); Surgery; Taxonomy
• ISSN: 2041-1723; 2041-1723
• DOI: 10.1038/s41467-020-18476-8

Providing insight into one’s health status from a gut microbiome sample is an important clinical goal in current human microbiome research. Herein, we introduce the Gut Microbiome Health Index (GMHI), a biologically-interpretable mathematical formula for predicting the likelihood of disease independ...