Cargando…

Alternation of the gut microbiota in irritable bowel syndrome: an integrated analysis based on multicenter amplicon sequencing data

BACKGROUND: Gut dysbacteriosis has been reported as one of the etiologies for irritable bowel syndrome (IBS). However, the association between gut microbiota and IBS is still inconclusive. METHOD: A paired-sample study was designed by retrieving original multicenter 16 s-rRNA data of IBS patients an...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Han, Ou, Rong, Tang, Nana, Su, Wei, Yang, Ruoyun, Yu, Xin, Zhang, Guoxin, Jiao, Jianhua, Zhou, Xiaoying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921069/
https://www.ncbi.nlm.nih.gov/pubmed/36774467
http://dx.doi.org/10.1186/s12967-023-03953-7
_version_ 1784887224373870592
author Chen, Han
Ou, Rong
Tang, Nana
Su, Wei
Yang, Ruoyun
Yu, Xin
Zhang, Guoxin
Jiao, Jianhua
Zhou, Xiaoying
author_facet Chen, Han
Ou, Rong
Tang, Nana
Su, Wei
Yang, Ruoyun
Yu, Xin
Zhang, Guoxin
Jiao, Jianhua
Zhou, Xiaoying
author_sort Chen, Han
collection PubMed
description BACKGROUND: Gut dysbacteriosis has been reported as one of the etiologies for irritable bowel syndrome (IBS). However, the association between gut microbiota and IBS is still inconclusive. METHOD: A paired-sample study was designed by retrieving original multicenter 16 s-rRNA data of IBS patients and healthy controls from the GMrepo database. The propensity score matching (PSM) algorithm was applied to reduce confounding bias. The differential analysis of microbiota composition was performed at different taxonomic levels. The co-occurrence network was established. Subgroup analysis was performed to identify specific microbial compositions in different IBS subtypes. RESULTS: A total of 1522 amplicon samples were initially enrolled. After PSM, 708 individuals (354 IBS and 354 healthy controls) were eligible for further analysis. A total of 1,160 genera were identified. We identified significantly changed taxa in IBS groups (IBS-enriched: the families Enterobacteriaceae, Moraxellaceae and Sphingobacteriaceae; the genera Streptococcus, Bacillus, Enterocloster, Sphingobacterium, Holdemania and Acinetobacter. IBS-depleted: the phyla Firmicutes, Euryarchaeota, Cyanobacteria, Acidobacteria and Lentisphaerae; the families Bifidobacteriaceae, Ruminococcaceae, Methanobacteriaceae and the other 25 families; the genera Faecalibacterium, Bifidobacterium and other 68 genera). The co-occurrence network identified three hub genera and six hub species (including Faecalibacterium prausnitzii) that may be involved in IBS pathophysiology. Strong positive interactions were identified among the Bifidobacterium longum, Bifidobacterium breve and Bifidobacterium adolescentis in the Bifidobacterium community. CONCLUSION: This study provides quantitative analysis and visualization of the interaction between the gut microbiota and IBS. The identification of key species should be further validated to evaluate their causal relationships with the pathogenesis of IBS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-03953-7.
format Online
Article
Text
id pubmed-9921069
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-99210692023-02-12 Alternation of the gut microbiota in irritable bowel syndrome: an integrated analysis based on multicenter amplicon sequencing data Chen, Han Ou, Rong Tang, Nana Su, Wei Yang, Ruoyun Yu, Xin Zhang, Guoxin Jiao, Jianhua Zhou, Xiaoying J Transl Med Research BACKGROUND: Gut dysbacteriosis has been reported as one of the etiologies for irritable bowel syndrome (IBS). However, the association between gut microbiota and IBS is still inconclusive. METHOD: A paired-sample study was designed by retrieving original multicenter 16 s-rRNA data of IBS patients and healthy controls from the GMrepo database. The propensity score matching (PSM) algorithm was applied to reduce confounding bias. The differential analysis of microbiota composition was performed at different taxonomic levels. The co-occurrence network was established. Subgroup analysis was performed to identify specific microbial compositions in different IBS subtypes. RESULTS: A total of 1522 amplicon samples were initially enrolled. After PSM, 708 individuals (354 IBS and 354 healthy controls) were eligible for further analysis. A total of 1,160 genera were identified. We identified significantly changed taxa in IBS groups (IBS-enriched: the families Enterobacteriaceae, Moraxellaceae and Sphingobacteriaceae; the genera Streptococcus, Bacillus, Enterocloster, Sphingobacterium, Holdemania and Acinetobacter. IBS-depleted: the phyla Firmicutes, Euryarchaeota, Cyanobacteria, Acidobacteria and Lentisphaerae; the families Bifidobacteriaceae, Ruminococcaceae, Methanobacteriaceae and the other 25 families; the genera Faecalibacterium, Bifidobacterium and other 68 genera). The co-occurrence network identified three hub genera and six hub species (including Faecalibacterium prausnitzii) that may be involved in IBS pathophysiology. Strong positive interactions were identified among the Bifidobacterium longum, Bifidobacterium breve and Bifidobacterium adolescentis in the Bifidobacterium community. CONCLUSION: This study provides quantitative analysis and visualization of the interaction between the gut microbiota and IBS. The identification of key species should be further validated to evaluate their causal relationships with the pathogenesis of IBS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-03953-7. BioMed Central 2023-02-11 /pmc/articles/PMC9921069/ /pubmed/36774467 http://dx.doi.org/10.1186/s12967-023-03953-7 Text en © The Author(s) 2023 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
Chen, Han
Ou, Rong
Tang, Nana
Su, Wei
Yang, Ruoyun
Yu, Xin
Zhang, Guoxin
Jiao, Jianhua
Zhou, Xiaoying
Alternation of the gut microbiota in irritable bowel syndrome: an integrated analysis based on multicenter amplicon sequencing data
title Alternation of the gut microbiota in irritable bowel syndrome: an integrated analysis based on multicenter amplicon sequencing data
title_full Alternation of the gut microbiota in irritable bowel syndrome: an integrated analysis based on multicenter amplicon sequencing data
title_fullStr Alternation of the gut microbiota in irritable bowel syndrome: an integrated analysis based on multicenter amplicon sequencing data
title_full_unstemmed Alternation of the gut microbiota in irritable bowel syndrome: an integrated analysis based on multicenter amplicon sequencing data
title_short Alternation of the gut microbiota in irritable bowel syndrome: an integrated analysis based on multicenter amplicon sequencing data
title_sort alternation of the gut microbiota in irritable bowel syndrome: an integrated analysis based on multicenter amplicon sequencing data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921069/
https://www.ncbi.nlm.nih.gov/pubmed/36774467
http://dx.doi.org/10.1186/s12967-023-03953-7
work_keys_str_mv AT chenhan alternationofthegutmicrobiotainirritablebowelsyndromeanintegratedanalysisbasedonmulticenterampliconsequencingdata
AT ourong alternationofthegutmicrobiotainirritablebowelsyndromeanintegratedanalysisbasedonmulticenterampliconsequencingdata
AT tangnana alternationofthegutmicrobiotainirritablebowelsyndromeanintegratedanalysisbasedonmulticenterampliconsequencingdata
AT suwei alternationofthegutmicrobiotainirritablebowelsyndromeanintegratedanalysisbasedonmulticenterampliconsequencingdata
AT yangruoyun alternationofthegutmicrobiotainirritablebowelsyndromeanintegratedanalysisbasedonmulticenterampliconsequencingdata
AT yuxin alternationofthegutmicrobiotainirritablebowelsyndromeanintegratedanalysisbasedonmulticenterampliconsequencingdata
AT zhangguoxin alternationofthegutmicrobiotainirritablebowelsyndromeanintegratedanalysisbasedonmulticenterampliconsequencingdata
AT jiaojianhua alternationofthegutmicrobiotainirritablebowelsyndromeanintegratedanalysisbasedonmulticenterampliconsequencingdata
AT zhouxiaoying alternationofthegutmicrobiotainirritablebowelsyndromeanintegratedanalysisbasedonmulticenterampliconsequencingdata