The trans-kingdom battle between donor and recipient gut microbiome influences fecal microbiota transplantation outcome
Open accessAbstract
Fundamental restoration ecology and community ecology theories can help us better understand the underlying mechanisms of fecal microbiota transplantation (FMT) and to better design future microbial therapeutics for recurrent Clostridioides difficile infections (rCDI) and other dysbiosis-related conditions. In this study, stool samples were collected from donors and rCDI patients one week prior to FMT (pre-FMT), as well as from patients one week following FMT (post-FMT). Using metagenomic sequencing and machine learning, our results suggested that FMT outcome is not only dependent on the ecological structure of the recipients, but also the interactions between the donor and recipient microbiomes at the taxonomical and functional levels. We observed that the presence of specific bacteria in donors (Clostridioides spp., Desulfovibrio spp., Odoribacter spp. and Oscillibacter spp.) and the absence of fungi (Yarrowia spp.) and bacteria (Wigglesworthia spp.) in recipients prior to FMT could predict FMT success. Our results also suggested a series of interlocked mechanisms for FMT success, including the repair of the disturbed gut ecosystem by transient colonization of nexus species followed by secondary succession of bile acid metabolizers, sporulators, and short chain fatty acid producers.
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Other studies found that the optimal donor is more patient specific.
“others found that the optimal donor is more patient specific, 75,144”
From Key determinants of success in fecal microbiota transplantation: From microbiome to clinic (2023) · cites this paper as [144]
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References 63 · Cited by 61
Research works printed but not linked: 2
- [38]Seekatz AM Restoration of short chain fatty acid and bile acid metabolism following fecal microbiota transplantation in patients with recurrent Clostridium difficile infection Anaerobe 2018 53 666 PMC6185828 29654837
- [46]Louppe, G., Wehenkel, L., Sutera, A. & Geurts, P. in Neural Information Processing Systems 2013. (eds C. J. C. Burges et al.).
- Authors
- Kazemian, N., Ramezankhani, M., Sehgal, A., Khalid, F. M., Kalkhoran, A. H. Z., Narayan, A., Wong, G. K.-S., Kao, D., & Pakpour, S.
- Affiliations
- University of British Columbia (CA)
- National Institute of Technology Hamirpur (BD)
- BGI Group (China) (CN)
- University of Alberta (CA)
- Corresponding author
- Kao, Dina
- Pakpour, Sepideh
- ORCID
- Venue
- Scientific Reports
- Published
- 2020-10-27
- Volume
- 10
- Issue
- 1
- Pages
- 18349-18349
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC7591866
- OpenAlex
- W3097104812
- Cited by
- 61
- References
- 63
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 11 · 2023: 9 · 2022: 11 · 2021: 6 · 2020: 1
- FWCI
- 0.88
- Type
- journal article
- Language
- en
- Update notices
- correction (2021-02-19)
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Clostridium difficile and Clostridium perfringens research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Keywords
- fecal microbiota transplantation, recurrent Clostridium difficile infection, gut microbiota, secondary succession, Wigglesworthia, Yarrowia, Oscillibacter, Desulfovibrio, Clostridioides, dysbiosis, microbial community ecology
- MeSH terms
- Eubacteriales, Gastrointestinal Microbiome, Fecal Microbiota Transplantation, Machine Learning, Clostridioides, Adult, Clostridium Infections, Desulfovibrio, Feces, Female, Humans, Male, Tissue Donors, Treatment Outcome, Bacteroidetes, Metagenomics
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