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The fecal microbiota as a biomarker for disease activity in Crohn’s disease
Monitoring mucosal inflammation is crucial to prevent complications and disease progression in Crohn’s disease (CD). Endoscopy is the current standard, but is invasive. Clinical activity scores and non-invasive biochemical markers do not correlate well with mucosal inflammation. Microbial perturbati...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5062155/ https://www.ncbi.nlm.nih.gov/pubmed/27734914 http://dx.doi.org/10.1038/srep35216 |
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author | Tedjo, Danyta. I. Smolinska, Agnieszka Savelkoul, Paul H. Masclee, Ad A. van Schooten, Frederik J. Pierik, Marieke J. Penders, John Jonkers, Daisy M. A. E. |
author_facet | Tedjo, Danyta. I. Smolinska, Agnieszka Savelkoul, Paul H. Masclee, Ad A. van Schooten, Frederik J. Pierik, Marieke J. Penders, John Jonkers, Daisy M. A. E. |
author_sort | Tedjo, Danyta. I. |
collection | PubMed |
description | Monitoring mucosal inflammation is crucial to prevent complications and disease progression in Crohn’s disease (CD). Endoscopy is the current standard, but is invasive. Clinical activity scores and non-invasive biochemical markers do not correlate well with mucosal inflammation. Microbial perturbations have been associated with disease activity in CD. Therefore, we aimed to investigate its potential use to differentiate CD patients in remission from those with an exacerbation. From 71 CD patients repeated fecal samples were collected, resulting in 97 active disease and 97 remission samples based on a combination of biochemical and clinical parameters. The microbiota composition was assessed by pyrosequencing of the 16S rRNA V1-V3 region. Random Forest analysis was used to find the most discriminatory panel of operational taxonomic units (OTUs) between active and remission samples. An independent internal validation set was used to validate the model. A combination of 50 OTUs was able to correctly predict 73% of remission and 79% of active samples with an AUC of 0.82 (sensitivity: 0.79, specificity: 0.73). This study demonstrates that fecal microbial profiles can be used to differentiate between active and remission CD and underline the potential of the fecal microbiota as a non-invasive tool to monitor disease activity in CD. |
format | Online Article Text |
id | pubmed-5062155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50621552016-10-24 The fecal microbiota as a biomarker for disease activity in Crohn’s disease Tedjo, Danyta. I. Smolinska, Agnieszka Savelkoul, Paul H. Masclee, Ad A. van Schooten, Frederik J. Pierik, Marieke J. Penders, John Jonkers, Daisy M. A. E. Sci Rep Article Monitoring mucosal inflammation is crucial to prevent complications and disease progression in Crohn’s disease (CD). Endoscopy is the current standard, but is invasive. Clinical activity scores and non-invasive biochemical markers do not correlate well with mucosal inflammation. Microbial perturbations have been associated with disease activity in CD. Therefore, we aimed to investigate its potential use to differentiate CD patients in remission from those with an exacerbation. From 71 CD patients repeated fecal samples were collected, resulting in 97 active disease and 97 remission samples based on a combination of biochemical and clinical parameters. The microbiota composition was assessed by pyrosequencing of the 16S rRNA V1-V3 region. Random Forest analysis was used to find the most discriminatory panel of operational taxonomic units (OTUs) between active and remission samples. An independent internal validation set was used to validate the model. A combination of 50 OTUs was able to correctly predict 73% of remission and 79% of active samples with an AUC of 0.82 (sensitivity: 0.79, specificity: 0.73). This study demonstrates that fecal microbial profiles can be used to differentiate between active and remission CD and underline the potential of the fecal microbiota as a non-invasive tool to monitor disease activity in CD. Nature Publishing Group 2016-10-13 /pmc/articles/PMC5062155/ /pubmed/27734914 http://dx.doi.org/10.1038/srep35216 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Tedjo, Danyta. I. Smolinska, Agnieszka Savelkoul, Paul H. Masclee, Ad A. van Schooten, Frederik J. Pierik, Marieke J. Penders, John Jonkers, Daisy M. A. E. The fecal microbiota as a biomarker for disease activity in Crohn’s disease |
title | The fecal microbiota as a biomarker for disease activity in Crohn’s disease |
title_full | The fecal microbiota as a biomarker for disease activity in Crohn’s disease |
title_fullStr | The fecal microbiota as a biomarker for disease activity in Crohn’s disease |
title_full_unstemmed | The fecal microbiota as a biomarker for disease activity in Crohn’s disease |
title_short | The fecal microbiota as a biomarker for disease activity in Crohn’s disease |
title_sort | fecal microbiota as a biomarker for disease activity in crohn’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5062155/ https://www.ncbi.nlm.nih.gov/pubmed/27734914 http://dx.doi.org/10.1038/srep35216 |
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