ArticleScientific data2026
An Integrated Dataset of Clinical and Microbial Profiles for Fecal Microbiota Transplantation.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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0 citing papers in PubMed.
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Authors and funding
7 authors.
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Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.