An ecological framework to understand the efficacy of fecal microbiota transplantation
Open accessAbstract
Human gut microbiota plays critical roles in physiology and disease. Our understanding of ecological principles that govern the dynamics and resilience of this highly complex ecosystem remains rudimentary. This knowledge gap becomes more problematic as new approaches to modifying this ecosystem, such as fecal microbiota transplantation (FMT), are being developed as therapeutic interventions. Here we present an ecological framework to understand the efficacy of FMT in treating conditions associated with a disrupted gut microbiota, using the recurrent Clostridioides difficile infection as a prototype disease. This framework predicts several key factors that determine the efficacy of FMT. Moreover, it offers an efficient algorithm for the rational design of personalized probiotic cocktails to decolonize pathogens. We analyze data from both preclinical mouse experiments and a clinical trial of FMT to validate our theoretical framework. The presented results significantly improve our understanding of the ecological principles of FMT and have a positive translational impact on the rational design of general microbiota-based therapeutics.
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Xiao et al. found that the optimal donor was most personalized when the recipient had higher microbiome diversity before FMT.
“Xiao et al. 145 assessed microbial dynamics in FMT using an ecological modeling framework (based on the generalized Lotka-Volterra model) and found that the optimal donor was most personalized when the recipient had higher microbiome diversity before FMT.”
From Key determinants of success in fecal microbiota transplantation: From microbiome to clinic (2023) · cites this paper as [145]
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References 104 · Cited by 89
Research works printed but not linked: 1
- [25]Aroniadis OC Brandt LJ Fecal microbiota transplantation: past, present and future Curr. Opin. Gastroenterol. 2012 29 79 84 23041678
- Authors
- Xiao, Y., Angulo, M. T., Lao, S., Weiss, S. T., & Liu, Y.-Y.
- Affiliations
- Brigham and Women's Hospital (US)
- Secretaría de Ciencia, Humanidades, Tecnología e Innovación (MX)
- National University of Defense Technology (CN)
- Corresponding author
- Liu, Yang-Yu
- Venue
- Nature Communications
- Published
- 2020-07-03
- Volume
- 11
- Issue
- 1
- Pages
- 3329-3329
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC7334230
- OpenAlex
- W3039446139
- Cited by
- 89
- References
- 104
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 9 · 2023: 10 · 2022: 23 · 2021: 17 · 2017: 1
- FWCI
- 1.64
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Greater South Information System
- Funders
- China Scholarship Council
- National Natural Science Foundation of China (61902418)
- U.S. Department of Health & Human Services | National Institutes of Health (R01AI141529, R01HD093761, UH3OD023268, U19AI095219, U01HL089856)
- 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, Clostridium difficile infection, recurrent Clostridium difficile infection, microbiota-based therapy, microbiome dynamics, ecological model
- MeSH terms
- Gastrointestinal Microbiome, Fecal Microbiota Transplantation, Algorithms, Animals, Clostridium Infections, Feces, Humans, Models, Theoretical, Recurrence, Clostridioides difficile, Treatment Outcome, Mice
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