Functional gastrointestinal disorders (FGIDs) are prevalent and burdensome, yet progress in microbiota-targeted therapies such as fecal microbiota transplantation (FMT) has been hampered by the lack of large-scale, integrated datasets. Current studies are mostly limited in sample size and scope, constraining mechanistic insight and precision application. To address this gap, we established FMTdb, a curated dataset focused on FGID patients treated with FMT. This resource integrates demographic, clinical, and multi-omic microbiota data from 15 rigorously screened long-term donors, 370 FGID recipients, and 2,008 healthy community controls. Longitudinal metadata include donor follow-up and pre- and post-treatment observations of recipients across multiple time points. By providing a multi-layered dataset that connects microbial composition with host response, FMTdb offers a robust platform for biomarker discovery, mechanistic exploration, and the development of personalized microbiota-based interventions for FGIDs.
Yan et al. (Fri,) studied this question.
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