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Depression and fatigue in active IBD from a microbiome perspective—a Bayesian approach to faecal metagenomics
BACKGROUND: Extraintestinal symptoms are common in inflammatory bowel diseases (IBD) and include depression and fatigue. These are highly prevalent especially in active disease, potentially due to inflammation-mediated changes in the microbiota-gut-brain axis. The aim of this study was to investigat...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575298/ https://www.ncbi.nlm.nih.gov/pubmed/36244970 http://dx.doi.org/10.1186/s12916-022-02550-7 |
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author | Thomann, Anne Kerstin Wüstenberg, Torsten Wirbel, Jakob Knoedler, Laura-Louise Thomann, Philipp Arthur Zeller, Georg Ebert, Matthias Philip Lis, Stefanie Reindl, Wolfgang |
author_facet | Thomann, Anne Kerstin Wüstenberg, Torsten Wirbel, Jakob Knoedler, Laura-Louise Thomann, Philipp Arthur Zeller, Georg Ebert, Matthias Philip Lis, Stefanie Reindl, Wolfgang |
author_sort | Thomann, Anne Kerstin |
collection | PubMed |
description | BACKGROUND: Extraintestinal symptoms are common in inflammatory bowel diseases (IBD) and include depression and fatigue. These are highly prevalent especially in active disease, potentially due to inflammation-mediated changes in the microbiota-gut-brain axis. The aim of this study was to investigate the associations between structural and functional microbiota characteristics and severity of fatigue and depressive symptoms in patients with active IBD. METHODS: We included clinical data of 62 prospectively enrolled patients with IBD in an active disease state. Patients supplied stool samples and completed the questionnaires regarding depression and fatigue symptoms. Based on taxonomic and functional metagenomic profiles of faecal gut microbiota, we used Bayesian statistics to investigate the associative networks and triangle motifs between bacterial genera, functional modules and symptom severity of self-reported fatigue and depression. RESULTS: Associations with moderate to strong evidence were found for 3 genera (Odoribacter, Anaerotruncus and Alistipes) and 3 functional modules (pectin, glycosaminoglycan and central carbohydrate metabolism) with regard to depression and for 4 genera (Intestinimonas, Anaerotruncus, Eubacterium and Clostridiales g.i.s) and 2 functional modules implicating amino acid and central carbohydrate metabolism with regard to fatigue. CONCLUSIONS: This study provides the first evidence of association triplets between microbiota composition, function and extraintestinal symptoms in active IBD. Depression and fatigue were associated with lower abundances of short-chain fatty acid producers and distinct pathways implicating glycan, carbohydrate and amino acid metabolism. Our results suggest that microbiota-directed therapeutic approaches may reduce fatigue and depression in IBD and should be investigated in future research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02550-7. |
format | Online Article Text |
id | pubmed-9575298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95752982022-10-18 Depression and fatigue in active IBD from a microbiome perspective—a Bayesian approach to faecal metagenomics Thomann, Anne Kerstin Wüstenberg, Torsten Wirbel, Jakob Knoedler, Laura-Louise Thomann, Philipp Arthur Zeller, Georg Ebert, Matthias Philip Lis, Stefanie Reindl, Wolfgang BMC Med Research Article BACKGROUND: Extraintestinal symptoms are common in inflammatory bowel diseases (IBD) and include depression and fatigue. These are highly prevalent especially in active disease, potentially due to inflammation-mediated changes in the microbiota-gut-brain axis. The aim of this study was to investigate the associations between structural and functional microbiota characteristics and severity of fatigue and depressive symptoms in patients with active IBD. METHODS: We included clinical data of 62 prospectively enrolled patients with IBD in an active disease state. Patients supplied stool samples and completed the questionnaires regarding depression and fatigue symptoms. Based on taxonomic and functional metagenomic profiles of faecal gut microbiota, we used Bayesian statistics to investigate the associative networks and triangle motifs between bacterial genera, functional modules and symptom severity of self-reported fatigue and depression. RESULTS: Associations with moderate to strong evidence were found for 3 genera (Odoribacter, Anaerotruncus and Alistipes) and 3 functional modules (pectin, glycosaminoglycan and central carbohydrate metabolism) with regard to depression and for 4 genera (Intestinimonas, Anaerotruncus, Eubacterium and Clostridiales g.i.s) and 2 functional modules implicating amino acid and central carbohydrate metabolism with regard to fatigue. CONCLUSIONS: This study provides the first evidence of association triplets between microbiota composition, function and extraintestinal symptoms in active IBD. Depression and fatigue were associated with lower abundances of short-chain fatty acid producers and distinct pathways implicating glycan, carbohydrate and amino acid metabolism. Our results suggest that microbiota-directed therapeutic approaches may reduce fatigue and depression in IBD and should be investigated in future research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02550-7. BioMed Central 2022-10-17 /pmc/articles/PMC9575298/ /pubmed/36244970 http://dx.doi.org/10.1186/s12916-022-02550-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Thomann, Anne Kerstin Wüstenberg, Torsten Wirbel, Jakob Knoedler, Laura-Louise Thomann, Philipp Arthur Zeller, Georg Ebert, Matthias Philip Lis, Stefanie Reindl, Wolfgang Depression and fatigue in active IBD from a microbiome perspective—a Bayesian approach to faecal metagenomics |
title | Depression and fatigue in active IBD from a microbiome perspective—a Bayesian approach to faecal metagenomics |
title_full | Depression and fatigue in active IBD from a microbiome perspective—a Bayesian approach to faecal metagenomics |
title_fullStr | Depression and fatigue in active IBD from a microbiome perspective—a Bayesian approach to faecal metagenomics |
title_full_unstemmed | Depression and fatigue in active IBD from a microbiome perspective—a Bayesian approach to faecal metagenomics |
title_short | Depression and fatigue in active IBD from a microbiome perspective—a Bayesian approach to faecal metagenomics |
title_sort | depression and fatigue in active ibd from a microbiome perspective—a bayesian approach to faecal metagenomics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575298/ https://www.ncbi.nlm.nih.gov/pubmed/36244970 http://dx.doi.org/10.1186/s12916-022-02550-7 |
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