Application of image guided analyses to monitor fecal microbial composition and diversity in a human cohort.

ABSTRACT: The critical role of gut microbiota in human health and disease has been increasingly illustrated over the past decades, with a significant amount of research demonstrating an unmet need for self-monitor of the fecal microbial composition in an easily-accessible, rapid-time manner. In this study, we employed a tool for Smartphone Microbiome Evaluation and Analysis in Rapid-time (SMEAR) that uses images of fecal smears to predict microbial compositional characteristics in a human cohort. A subset of human fecal samples was randomly retrieved from the second wave of data collection in the Healthy Life in an Urban Setting (HELIUS) study cohort. Per sample, 16S rRNA gene sequencing data was generated in addition to an image of a fecal smear, spread on a standard A4 paper. Metagenomics-paired p

SUBMITTER: Zafeiropoulou K 

PROVIDER: S-EPMC12276231 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature