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Predicting recurrence of Clostridium difficile infection following encapsulated fecal microbiota transplantation

BACKGROUND: Fecal microbiota transplantation (FMT) is an effective treatment for recurrent Clostridium difficile infection (rCDI). The use of freeze-dried, encapsulated donor material for FMT (cap-FMT) allows for an easy route of administration and remains clinically effective in the majority of rCD...

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Autores principales: Staley, Christopher, Kaiser, Thomas, Vaughn, Byron P., Graiziger, Carolyn T., Hamilton, Matthew J., Rehman, Tauseef ur, Song, Kevin, Khoruts, Alexander, Sadowsky, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6145197/
https://www.ncbi.nlm.nih.gov/pubmed/30227892
http://dx.doi.org/10.1186/s40168-018-0549-6
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author Staley, Christopher
Kaiser, Thomas
Vaughn, Byron P.
Graiziger, Carolyn T.
Hamilton, Matthew J.
Rehman, Tauseef ur
Song, Kevin
Khoruts, Alexander
Sadowsky, Michael J.
author_facet Staley, Christopher
Kaiser, Thomas
Vaughn, Byron P.
Graiziger, Carolyn T.
Hamilton, Matthew J.
Rehman, Tauseef ur
Song, Kevin
Khoruts, Alexander
Sadowsky, Michael J.
author_sort Staley, Christopher
collection PubMed
description BACKGROUND: Fecal microbiota transplantation (FMT) is an effective treatment for recurrent Clostridium difficile infection (rCDI). The use of freeze-dried, encapsulated donor material for FMT (cap-FMT) allows for an easy route of administration and remains clinically effective in the majority of rCDI patients. We hypothesized that specific shifts in the microbiota in response to cap-FMT could predict clinical outcome. We further evaluated the degree of donor microbiota engraftment to determine the extent that donor transfer contributed to recovery. RESULTS: In total, 89 patients were treated with 100 separate cap-FMTs, with a success rate (no rCDI 60 days post cap-FMT) of 80%. Among responders, the lower alpha diversity (ANOVA P < 0.05) observed among patient’s pre-FMT samples was restored following cap-FMT. At 1 week post-FMT, community composition varied by clinical outcome (ANOSIM P < 0.001), with similar abundances among families (Lachnospiraceae, Ruminococcaceae, and Bacteroidaceae) in responder and donor samples. Families that showed differential abundances by outcome (response vs. recurrence) from samples collected 7 days following cap-FMT were used to construct a regression tree-based model to predict recurrence. Results showed a training accuracy of 100% to predict recurrence and the model was 97% accurate against a test data set of samples collected 8–20 days following cap-FMT. Evaluation of the extent of engraftment using the Bayesian algorithm SourceTracker revealed that approximately 50% of the post-FMT communities of responders were attributable to donor microbiota, while an additional 20–30% of the communities were similar to a composite healthy microbiota consisting of all donor samples. CONCLUSIONS: Regression tree-based analyses of microbial communities identified taxa significantly related to clinical response after 7 days, which can be targeted to improve microbial therapeutics. Furthermore, reinstatement of a healthy assemblage following cap-FMT was only partially attributable to explicit donor engraftment and continued to develop towards an overall healthy assemblage, independent of donor. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0549-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-61451972018-09-24 Predicting recurrence of Clostridium difficile infection following encapsulated fecal microbiota transplantation Staley, Christopher Kaiser, Thomas Vaughn, Byron P. Graiziger, Carolyn T. Hamilton, Matthew J. Rehman, Tauseef ur Song, Kevin Khoruts, Alexander Sadowsky, Michael J. Microbiome Research BACKGROUND: Fecal microbiota transplantation (FMT) is an effective treatment for recurrent Clostridium difficile infection (rCDI). The use of freeze-dried, encapsulated donor material for FMT (cap-FMT) allows for an easy route of administration and remains clinically effective in the majority of rCDI patients. We hypothesized that specific shifts in the microbiota in response to cap-FMT could predict clinical outcome. We further evaluated the degree of donor microbiota engraftment to determine the extent that donor transfer contributed to recovery. RESULTS: In total, 89 patients were treated with 100 separate cap-FMTs, with a success rate (no rCDI 60 days post cap-FMT) of 80%. Among responders, the lower alpha diversity (ANOVA P < 0.05) observed among patient’s pre-FMT samples was restored following cap-FMT. At 1 week post-FMT, community composition varied by clinical outcome (ANOSIM P < 0.001), with similar abundances among families (Lachnospiraceae, Ruminococcaceae, and Bacteroidaceae) in responder and donor samples. Families that showed differential abundances by outcome (response vs. recurrence) from samples collected 7 days following cap-FMT were used to construct a regression tree-based model to predict recurrence. Results showed a training accuracy of 100% to predict recurrence and the model was 97% accurate against a test data set of samples collected 8–20 days following cap-FMT. Evaluation of the extent of engraftment using the Bayesian algorithm SourceTracker revealed that approximately 50% of the post-FMT communities of responders were attributable to donor microbiota, while an additional 20–30% of the communities were similar to a composite healthy microbiota consisting of all donor samples. CONCLUSIONS: Regression tree-based analyses of microbial communities identified taxa significantly related to clinical response after 7 days, which can be targeted to improve microbial therapeutics. Furthermore, reinstatement of a healthy assemblage following cap-FMT was only partially attributable to explicit donor engraftment and continued to develop towards an overall healthy assemblage, independent of donor. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0549-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-09-18 /pmc/articles/PMC6145197/ /pubmed/30227892 http://dx.doi.org/10.1186/s40168-018-0549-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Staley, Christopher
Kaiser, Thomas
Vaughn, Byron P.
Graiziger, Carolyn T.
Hamilton, Matthew J.
Rehman, Tauseef ur
Song, Kevin
Khoruts, Alexander
Sadowsky, Michael J.
Predicting recurrence of Clostridium difficile infection following encapsulated fecal microbiota transplantation
title Predicting recurrence of Clostridium difficile infection following encapsulated fecal microbiota transplantation
title_full Predicting recurrence of Clostridium difficile infection following encapsulated fecal microbiota transplantation
title_fullStr Predicting recurrence of Clostridium difficile infection following encapsulated fecal microbiota transplantation
title_full_unstemmed Predicting recurrence of Clostridium difficile infection following encapsulated fecal microbiota transplantation
title_short Predicting recurrence of Clostridium difficile infection following encapsulated fecal microbiota transplantation
title_sort predicting recurrence of clostridium difficile infection following encapsulated fecal microbiota transplantation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6145197/
https://www.ncbi.nlm.nih.gov/pubmed/30227892
http://dx.doi.org/10.1186/s40168-018-0549-6
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