Author:
Jenior Matthew L,Leslie Jhansi L,Kolling Glynis L,Archbald-Pannone Laurie,Powers Deborah A,Petri William A,Papin Jason A
Abstract
ABSTRACTFecal Microbiota Transplant (FMT) is an emerging therapy that has had remarkable success in treatment and prevention of recurrentClostridioides difficileinfection (rCDI). FMT has recently been associated with adverse outcomes such as inadvertent transfer of antimicrobial resistance, necessitating development of more targeted bacteriotherapies. To address this challenge, we developed a novel systems biology pipeline to identify candidate probiotic strains that would be predicted to interruptC. difficilepathogenesis. Utilizing metagenomic characterization of human FMT donor samples, we identified those metabolic pathways most associated with successful FMTs and reconstructed the metabolism of encoding species to simulate interactions withC. difficile. This analysis resulted in predictions of high levels of cross-feeding for amino acids in species most associated with FMT success. Guided by thesein silicomodels, we assembled consortia of bacteria with increased amino acid cross-feeding which were then validatedin vitro. We subsequently tested the consortia in a murine model of CDI, demonstrating total protection from severe CDI through decreased toxin levels, recovered gut microbiota, and increased intestinal eosinophils. These results support the novel framework that amino acid cross-feeding is likely a critical mechanism in the initial resolution of CDI by FMT. Importantly, we conclude that our predictive platform based on predicted and testable metabolic interactions between the microbiota andC. difficileled to a rationally designed biotherapeutic framework that may be extended to other enteric infections.
Publisher
Cold Spring Harbor Laboratory