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      An ecological framework to understand the efficacy of fecal microbiota transplantation

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          Abstract

          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.

          Abstract

          Here, the authors present a theoretical framework based on community ecology and network science to investigate the efficacy of fecal microbiota transplantation in conditions associated with a disrupted gut microbiota, using the recurrent Clostridioides difficile infection as a prototype disease.

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          Most cited references66

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          Fecal Microbiota Transplantation Induces Remission in Patients With Active Ulcerative Colitis in a Randomized Controlled Trial.

          Ulcerative colitis (UC) is difficult to treat, and standard therapy does not always induce remission. Fecal microbiota transplantation (FMT) is an alternative approach that induced remission in small series of patients with active UC. We investigated its safety and efficacy in a placebo-controlled randomized trial.
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            Microbiota-mediated colonization resistance against intestinal pathogens.

            Commensal bacteria inhabit mucosal and epidermal surfaces in mice and humans, and have effects on metabolic and immune pathways in their hosts. Recent studies indicate that the commensal microbiota can be manipulated to prevent and even to cure infections that are caused by pathogenic bacteria, particularly pathogens that are broadly resistant to antibiotics, such as vancomycin-resistant Enterococcus faecium, Gram-negative Enterobacteriaceae and Clostridium difficile. In this Review, we discuss how immune- mediated colonization resistance against antibiotic-resistant intestinal pathogens is influenced by the composition of the commensal microbiota. We also review recent advances characterizing the ability of different commensal bacterial families, genera and species to restore colonization resistance to intestinal pathogens in antibiotic-treated hosts.
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              Multidonor intensive faecal microbiota transplantation for active ulcerative colitis: a randomised placebo-controlled trial.

              The intestinal microbiota is implicated in the pathogenesis of ulcerative colitis. Faecal microbiota transplantation is a novel form of therapeutic microbial manipulation, but its efficacy in ulcerative colitis is uncertain. We aimed to establish the efficacy of intensive-dosing, multidonor, faecal microbiota transplantation in active ulcerative colitis.
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                Author and article information

                Contributors
                yyl@channing.harvard.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                3 July 2020
                3 July 2020
                2020
                : 11
                : 3329
                Affiliations
                [1 ]ISNI 0000 0000 9548 2110, GRID grid.412110.7, College of System Engineering, , National University of Defense Technology, ; 410073 Changsha, Hunan China
                [2 ]ISNI 0000 0004 0378 8294, GRID grid.62560.37, Channing Division of Network Medicine, , Brigham and Women’s Hospital and Harvard Medical School, ; Boston, MA 02115 USA
                [3 ]ISNI 0000 0001 2159 0001, GRID grid.9486.3, Institute of Mathematics, , Universidad Nacional Autónoma de México, ; 76230 Juriquilla, Mexico
                [4 ]ISNI 0000 0004 0428 7635, GRID grid.418270.8, National Council for Science and Technology (CONACyT), ; 03940 Mexico City, Mexico
                [5 ]ISNI 0000 0001 2106 9910, GRID grid.65499.37, Center for Cancer Systems Biology, , Dana-Farber Cancer Institute, ; Boston, MA 02115 USA
                Author information
                http://orcid.org/0000-0002-9802-8567
                http://orcid.org/0000-0003-2728-4907
                Article
                17180
                10.1038/s41467-020-17180-x
                7334230
                32620839
                1d52e6b4-98c2-485e-9df1-c6cd15cf74bf
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 May 2019
                : 11 June 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100004543, China Scholarship Council (CSC);
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 61902418
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000002, U.S. Department of Health & Human Services | National Institutes of Health (NIH);
                Award ID: R01AI141529
                Award ID: R01HD093761
                Award ID: UH3OD023268
                Award ID: U19AI095219
                Award ID: U01HL089856
                Award Recipient :
                Funded by: U.S. Department of Health & Human Services | National Institutes of Health (NIH)
                Funded by: U.S. Department of Health & Human Services | National Institutes of Health (NIH)
                Funded by: U.S. Department of Health & Human Services | National Institutes of Health (NIH)
                Funded by: U.S. Department of Health & Human Services | National Institutes of Health (NIH)
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                ecological modelling,ecological networks,microbial ecology,clinical microbiology
                Uncategorized
                ecological modelling, ecological networks, microbial ecology, clinical microbiology

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