A microbial signature following bariatric surgery is robustly consistent across multiple cohorts
Farnaz Fouladi, Ian M. Carroll, Thomas J. Sharpton, Emily C. Bulik‐Sullivan, Leslie J. Heinberg, Kristine J. Steffen, Anthony A. Fodor
Abstract
decreased. Machine learning approaches revealed that the replicable gut microbiota signature associated with RYGB surgery could be used to discriminate pre- and post-surgical samples. Opportunistic pathogen abundance also increased post-surgery in a consistent manner across cohorts. Our study reveals a robust microbial signature involving many commensal and pathogenic taxa and metabolic pathways early after RYGB surgery across different studies and sites. Characterization of the effects of this robust microbial signature on outcomes of bariatric surgery could provide insights into the development of microbiome-based interventions for predicting or improving outcomes following surgery.