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ABSTRACT: Background
Microbiome-based disease prediction has significant potential as an early, noninvasive marker of multiple health conditions linked to dysbiosis of the human gut microbiota, thanks in part to decreasing sequencing and analysis costs. Microbiome health indices and other computational tools currently proposed in the field often are based on a microbiome's species richness and are completely reliant on taxonomic classification. A resurgent interest in a metabolism-centric, ecological approach has led to an increased understanding of microbiome metabolic and phenotypic complexity, revealing substantial restrictions of taxonomy-reliant approaches.Findings
In this study, we introduce a new metagenomic health index developed as an answer to recent developments in microbi
SUBMITTER: Zielinska K
PROVIDER: S-EPMC11927397 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature