Recipient-independent, high-accuracy FMT-response prediction and optimization in mice and humans.

ABSTRACT:

Background

Some microbiota compositions are associated with negative outcomes, including among others, obesity, allergies, and the failure to respond to treatment. Microbiota manipulation or supplementation can restore a community associated with a healthy condition. Such interventions are typically probiotics or fecal microbiota transplantation (FMT). FMT donor selection is currently based on donor phenotype, rather than the anticipated microbiota composition in the recipient and associated health benefits. However, the donor and post-transplant recipient conditions differ drastically. We here propose an algorithm to identify ideal donors and predict the expected outcome of FMT based on donor microbiome alone. We also demonstrate how to optimize FMT for different required outcomes

SUBMITTER: Shtossel O 

PROVIDER: S-EPMC10424414 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature