Detecting microbial engraftment after FMT: sorting signals from noise using placebo sequencing and culture-enriched metagenomics

Shekarriz, S.; Szamosi, J. C.; Whelan, F. J.; Lau, J. T.; Libertucci, J.; Rossi, L.; Shah, M.; Wolfe, M.; Lee, C. H.; Moayyedi, P.; Surette, M. G.

doi:10.1101/2024.09.11.612315

bioRxiv · 10.1101/2024.09.11.612315

Detecting microbial engraftment after FMT: sorting signals from noise using placebo sequencing and culture-enriched metagenomics

Shekarriz, S.·Szamosi, J. C.·Whelan, F. J.·Lau, J. T.·Libertucci, J.·Rossi, L.·Shah, M.·Wolfe, M.·Lee, C. H.·Moayyedi, P.·Surette, M. G.

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Abstract

Fecal microbiota transplantation (FMT) has shown efficacy for the treatment of ulcerative colitis but with variable response between patients and trials. The mechanisms underlying FMTs therapeutic effects remains poorly understood but is generally assumed to involve engraftment of donor microbiota into the recipients microbiome. Previous studies have reported microbial engraftment following FMT in various disease contexts but with inconsistent results between studies. Here we investigate engraftment in UC patients receiving FMT from a single donor applying amplicon-based profiling, shotgun metagenomics and culture-enriched metagenomics. Placebo samples were included to estimate engraftment noise, and a significant level of false-positive engraftment was observed which confounds the prediction of true engraftment. We show that analyzing engraftment across multiple patients from a single donor enhances the accuracy of detection. We identified a unique set of genes engrafted in responders to FMT which supports strain displacement as the primary mechanism of engraftment in our cohort.

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Shekarriz, S., Szamosi, J. C., Whelan, F. J., Lau, J. T., Libertucci, J., Rossi, L., Shah, M., Wolfe, M., Lee, C. H., Moayyedi, P., Surette, M. G.. 2024-09-13. Detecting microbial engraftment after FMT: sorting signals from noise using placebo sequencing and culture-enriched metagenomics. https://doi.org/10.1101/2024.09.11.612315

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