Profiling Living Bacteria Informs Preparation of Fecal Microbiota Transplantations
Fecal microbiota transplantation is a compelling treatment for recurrent Clostridium difficile infections, with potential applications against other diseases associated with changes in gut microbiota. But variability in fecal bacterial communities—believed to be the therapeutic agent—can complicate...
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| Format: | Article |
| Language: | en_US |
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Public Library of Science
2017
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| Online Access: | http://hdl.handle.net/1721.1/109952 https://orcid.org/0000-0002-7511-5238 https://orcid.org/0000-0003-4700-5987 https://orcid.org/0000-0003-4378-9542 https://orcid.org/0000-0001-8294-9364 |
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| author | Chu, Nathaniel David Smith, Mark Burnham Perrotta, Allison Kassam, Zain Alm, Eric J |
| author2 | Massachusetts Institute of Technology. Department of Biological Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Biological Engineering Chu, Nathaniel David Smith, Mark Burnham Perrotta, Allison Kassam, Zain Alm, Eric J |
| author_sort | Chu, Nathaniel David |
| collection | MIT |
| description | Fecal microbiota transplantation is a compelling treatment for recurrent Clostridium difficile infections, with potential applications against other diseases associated with changes in gut microbiota. But variability in fecal bacterial communities—believed to be the therapeutic agent—can complicate or undermine treatment efficacy. To understand the effects of transplant preparation methods on living fecal microbial communities, we applied a DNA-sequencing method (PMA-seq) that uses propidium monoazide (PMA) to differentiate between living and dead fecal microbes, and we created an analysis pipeline to identify individual bacteria that change in abundance between samples. We found that oxygen exposure degraded fecal bacterial communities, whereas freeze-thaw cycles and lag time between donor defecation and transplant preparation had much smaller effects. Notably, the abundance of Faecalibacterium prausnitzii—an anti-inflammatory commensal bacterium whose absence is linked to inflammatory bowel disease—decreased with oxygen exposure. Our results indicate that some current practices for preparing microbiota transplant material adversely affect living fecal microbial content and highlight PMA-seq as a valuable tool to inform best practices and evaluate the suitability of clinical fecal material. |
| first_indexed | 2024-09-23T12:14:13Z |
| format | Article |
| id | mit-1721.1/109952 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:14:13Z |
| publishDate | 2017 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | mit-1721.1/1099522022-09-28T00:49:56Z Profiling Living Bacteria Informs Preparation of Fecal Microbiota Transplantations Chu, Nathaniel David Smith, Mark Burnham Perrotta, Allison Kassam, Zain Alm, Eric J Massachusetts Institute of Technology. Department of Biological Engineering Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Chu, Nathaniel David Smith, Mark Burnham Perrotta, Allison Kassam, Zain Alm, Eric J Fecal microbiota transplantation is a compelling treatment for recurrent Clostridium difficile infections, with potential applications against other diseases associated with changes in gut microbiota. But variability in fecal bacterial communities—believed to be the therapeutic agent—can complicate or undermine treatment efficacy. To understand the effects of transplant preparation methods on living fecal microbial communities, we applied a DNA-sequencing method (PMA-seq) that uses propidium monoazide (PMA) to differentiate between living and dead fecal microbes, and we created an analysis pipeline to identify individual bacteria that change in abundance between samples. We found that oxygen exposure degraded fecal bacterial communities, whereas freeze-thaw cycles and lag time between donor defecation and transplant preparation had much smaller effects. Notably, the abundance of Faecalibacterium prausnitzii—an anti-inflammatory commensal bacterium whose absence is linked to inflammatory bowel disease—decreased with oxygen exposure. Our results indicate that some current practices for preparing microbiota transplant material adversely affect living fecal microbial content and highlight PMA-seq as a valuable tool to inform best practices and evaluate the suitability of clinical fecal material. 2017-06-16T15:36:44Z 2017-06-16T15:36:44Z 2017-01 2016-09 Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/109952 Chu, Nathaniel D.; Smith, Mark B.; Perrotta, Allison R.; Kassam, Zain and Alm, Eric J. “Profiling Living Bacteria Informs Preparation of Fecal Microbiota Transplantations.” Edited by Erwin G Zoetendal. PLOS ONE 12, no. 1 (January 2017): e0170922 © 2017 Chu et al https://orcid.org/0000-0002-7511-5238 https://orcid.org/0000-0003-4700-5987 https://orcid.org/0000-0003-4378-9542 https://orcid.org/0000-0001-8294-9364 en_US http://dx.doi.org/10.1371/journal.pone.0170922 PLoS ONE Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/ application/pdf Public Library of Science PLoS |
| spellingShingle | Chu, Nathaniel David Smith, Mark Burnham Perrotta, Allison Kassam, Zain Alm, Eric J Profiling Living Bacteria Informs Preparation of Fecal Microbiota Transplantations |
| title | Profiling Living Bacteria Informs Preparation of Fecal Microbiota Transplantations |
| title_full | Profiling Living Bacteria Informs Preparation of Fecal Microbiota Transplantations |
| title_fullStr | Profiling Living Bacteria Informs Preparation of Fecal Microbiota Transplantations |
| title_full_unstemmed | Profiling Living Bacteria Informs Preparation of Fecal Microbiota Transplantations |
| title_short | Profiling Living Bacteria Informs Preparation of Fecal Microbiota Transplantations |
| title_sort | profiling living bacteria informs preparation of fecal microbiota transplantations |
| url | http://hdl.handle.net/1721.1/109952 https://orcid.org/0000-0002-7511-5238 https://orcid.org/0000-0003-4700-5987 https://orcid.org/0000-0003-4378-9542 https://orcid.org/0000-0001-8294-9364 |
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