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Ranking microbiome variance in inflammatory bowel disease: a large longitudinal intercontinental study
OBJECTIVE: The microbiome contributes to the pathogenesis of inflammatory bowel disease (IBD) but the relative contribution of different lifestyle and environmental factors to the compositional variability of the gut microbiota is unclear. DESIGN: Here, we rank the size effect of disease activity, m...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873428/ https://www.ncbi.nlm.nih.gov/pubmed/32536605 http://dx.doi.org/10.1136/gutjnl-2020-321106 |
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author | Clooney, Adam G Eckenberger, Julia Laserna-Mendieta, Emilio Sexton, Kathryn A Bernstein, Matthew T Vagianos, Kathy Sargent, Michael Ryan, Feargal J Moran, Carthage Sheehan, Donal Sleator, Roy D Targownik, Laura E Bernstein, Charles N Shanahan, Fergus Claesson, Marcus J |
author_facet | Clooney, Adam G Eckenberger, Julia Laserna-Mendieta, Emilio Sexton, Kathryn A Bernstein, Matthew T Vagianos, Kathy Sargent, Michael Ryan, Feargal J Moran, Carthage Sheehan, Donal Sleator, Roy D Targownik, Laura E Bernstein, Charles N Shanahan, Fergus Claesson, Marcus J |
author_sort | Clooney, Adam G |
collection | PubMed |
description | OBJECTIVE: The microbiome contributes to the pathogenesis of inflammatory bowel disease (IBD) but the relative contribution of different lifestyle and environmental factors to the compositional variability of the gut microbiota is unclear. DESIGN: Here, we rank the size effect of disease activity, medications, diet and geographic location of the faecal microbiota composition (16S rRNA gene sequencing) in patients with Crohn’s disease (CD; n=303), ulcerative colitis (UC; n = 228) and controls (n=161), followed longitudinally (at three time points with 16 weeks intervals). RESULTS: Reduced microbiota diversity but increased variability was confirmed in CD and UC compared with controls. Significant compositional differences between diseases, particularly CD, and controls were evident. Longitudinal analyses revealed reduced temporal microbiota stability in IBD, particularly in patients with changes in disease activity. Machine learning separated disease from controls, and active from inactive disease, when consecutive time points were modelled. Geographic location accounted for most of the microbiota variance, second to the presence or absence of CD, followed by history of surgical resection, alcohol consumption and UC diagnosis, medications and diet with most (90.3%) of the compositional variance stochastic or unexplained. CONCLUSION: The popular concept of precision medicine and rational design of any therapeutic manipulation of the microbiota will have to contend not only with the heterogeneity of the host response, but also with widely differing lifestyles and with much variance still unaccounted for. |
format | Online Article Text |
id | pubmed-7873428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-78734282021-02-18 Ranking microbiome variance in inflammatory bowel disease: a large longitudinal intercontinental study Clooney, Adam G Eckenberger, Julia Laserna-Mendieta, Emilio Sexton, Kathryn A Bernstein, Matthew T Vagianos, Kathy Sargent, Michael Ryan, Feargal J Moran, Carthage Sheehan, Donal Sleator, Roy D Targownik, Laura E Bernstein, Charles N Shanahan, Fergus Claesson, Marcus J Gut Inflammatory Bowel Disease OBJECTIVE: The microbiome contributes to the pathogenesis of inflammatory bowel disease (IBD) but the relative contribution of different lifestyle and environmental factors to the compositional variability of the gut microbiota is unclear. DESIGN: Here, we rank the size effect of disease activity, medications, diet and geographic location of the faecal microbiota composition (16S rRNA gene sequencing) in patients with Crohn’s disease (CD; n=303), ulcerative colitis (UC; n = 228) and controls (n=161), followed longitudinally (at three time points with 16 weeks intervals). RESULTS: Reduced microbiota diversity but increased variability was confirmed in CD and UC compared with controls. Significant compositional differences between diseases, particularly CD, and controls were evident. Longitudinal analyses revealed reduced temporal microbiota stability in IBD, particularly in patients with changes in disease activity. Machine learning separated disease from controls, and active from inactive disease, when consecutive time points were modelled. Geographic location accounted for most of the microbiota variance, second to the presence or absence of CD, followed by history of surgical resection, alcohol consumption and UC diagnosis, medications and diet with most (90.3%) of the compositional variance stochastic or unexplained. CONCLUSION: The popular concept of precision medicine and rational design of any therapeutic manipulation of the microbiota will have to contend not only with the heterogeneity of the host response, but also with widely differing lifestyles and with much variance still unaccounted for. BMJ Publishing Group 2021-03 2020-06-14 /pmc/articles/PMC7873428/ /pubmed/32536605 http://dx.doi.org/10.1136/gutjnl-2020-321106 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Inflammatory Bowel Disease Clooney, Adam G Eckenberger, Julia Laserna-Mendieta, Emilio Sexton, Kathryn A Bernstein, Matthew T Vagianos, Kathy Sargent, Michael Ryan, Feargal J Moran, Carthage Sheehan, Donal Sleator, Roy D Targownik, Laura E Bernstein, Charles N Shanahan, Fergus Claesson, Marcus J Ranking microbiome variance in inflammatory bowel disease: a large longitudinal intercontinental study |
title | Ranking microbiome variance in inflammatory bowel disease: a large longitudinal intercontinental study |
title_full | Ranking microbiome variance in inflammatory bowel disease: a large longitudinal intercontinental study |
title_fullStr | Ranking microbiome variance in inflammatory bowel disease: a large longitudinal intercontinental study |
title_full_unstemmed | Ranking microbiome variance in inflammatory bowel disease: a large longitudinal intercontinental study |
title_short | Ranking microbiome variance in inflammatory bowel disease: a large longitudinal intercontinental study |
title_sort | ranking microbiome variance in inflammatory bowel disease: a large longitudinal intercontinental study |
topic | Inflammatory Bowel Disease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873428/ https://www.ncbi.nlm.nih.gov/pubmed/32536605 http://dx.doi.org/10.1136/gutjnl-2020-321106 |
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