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Proposal of a health gut microbiome index based on a meta-analysis of Korean and global population datasets by Hyun-Seok Oh; Uigi Min; Hyejin Jang; Namil Kim; Jeongmin Lim; Mauricio Chalita; Jongsik Chun is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Proposal of a health gut microbiome index based on a meta-analysis of Korean and global population datasets about?
The disruption of the human gut microbiota has been linked to host health conditions, including various diseases. However, no reliable index for measuring and predicting a healthy microbiome is currently available. Here, the sequencing data of 1,663 Koreans were obtained from three independent studies. Furthermore, we pooled 3,490 samples from public databases and analyzed a total of 5,153 fecal samples. First, we analyzed Korean gut microbiome covariates to determine the influence of lifestyle on variation in the gut microbiota. Next, patterns of microbiota variations across geographical locations and disease statuses were confirmed using a global cohort and di-sease data. Based on comprehensive comparative analysis, we were able to define three enterotypes among Korean cohorts, namely, Prevotella type, Bacteroides type, and outlier type. By a thorough categorization of dysbiosis and the evaluation of microbial characteristics using multiple datasets, we identified a wide spectrum of accuracy levels in classifying health and disease states. Using the observed microbiome patterns, we devised an index named the gut microbiome index (GMI) that could consistently predict health condit
Who reads Proposal of a health gut microbiome index based on a meta-analysis of Korean and global population datasets?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Hyun-Seok Oh; Uigi Min; Hyejin Jang; Namil Kim; Jeongmin Lim; Mauricio Chalita; Jongsik Chun
- Publisher
- Springer Science and Business Media LLC
- Published
- 2022
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)