Cargando…
Multi-omics analysis reveals the interaction of gut microbiome and host microRNAs in ulcerative colitis
BACKGROUND: Inflammatory bowel disease (IBD) is a chronic inflammation of the gastrointestinal tract that co-occurs with gut microbiota dysbiosis; however, its etiology remains unclear. MicroRNA (miRNA)-microbiome interactions play an essential role in host health and disease. METHODS: To investigat...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543339/ https://www.ncbi.nlm.nih.gov/pubmed/37774039 http://dx.doi.org/10.1080/07853890.2023.2261477 |
_version_ | 1785114280529494016 |
---|---|
author | Ma, Lingyan Hou, Chenyang Yang, Hua Chen, Qu Lyu, Wentao Wang, Zhen Wang, Jianfeng Xiao, Yingping |
author_facet | Ma, Lingyan Hou, Chenyang Yang, Hua Chen, Qu Lyu, Wentao Wang, Zhen Wang, Jianfeng Xiao, Yingping |
author_sort | Ma, Lingyan |
collection | PubMed |
description | BACKGROUND: Inflammatory bowel disease (IBD) is a chronic inflammation of the gastrointestinal tract that co-occurs with gut microbiota dysbiosis; however, its etiology remains unclear. MicroRNA (miRNA)-microbiome interactions play an essential role in host health and disease. METHODS: To investigate the gut microbiome and host miRNA profiles in colitis, we used a Dextran Sulfate Sodium (DSS)-induced ulcerative colitis (UC) model. Metagenomic sequencing and metabolome profiling were performed to explore typical microbiota and metabolite signatures in colitis, whereas mRNA and miRNA sequencing were used to determine differentially expressed miRNAs and their target genes in the inflamed colon. RESULTS: A total of 986 miRNAs were identified between the two groups, with 41 upregulated and 21 downregulated miRNAs in colitis mice compared to the control group. Notably, the target genes of these significantly altered miRNAs were primarily enriched in the immune and inflammation-related pathways. Second, LEfSe analysis revealed bacterial biomarkers distinguishing the two groups, with significantly higher levels of commonly encountered pathogens such as Escherichia coli and Shigella flexneri in the UC group, whereas beneficial species such as Bifidobacterium pseudolongum were more abundant in the control group. Microbiota metabolites histamine, N-acetylhistamine, and glycocholic acid were found to be downregulated in colitis mice. Spearman correlation further revealed the potential crosstalk between the microbiota profile and colonic miRNA, revealing the possibility of microbiome–miRNA interactions involved in IBD development. CONCLUSIONS: Our data reveal the relationships between multi-omic features during UC and suggest that targeting specific miRNAs may provide new avenues for the development of effective miRNA-based therapeutics. |
format | Online Article Text |
id | pubmed-10543339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-105433392023-10-03 Multi-omics analysis reveals the interaction of gut microbiome and host microRNAs in ulcerative colitis Ma, Lingyan Hou, Chenyang Yang, Hua Chen, Qu Lyu, Wentao Wang, Zhen Wang, Jianfeng Xiao, Yingping Ann Med Gastroenterology BACKGROUND: Inflammatory bowel disease (IBD) is a chronic inflammation of the gastrointestinal tract that co-occurs with gut microbiota dysbiosis; however, its etiology remains unclear. MicroRNA (miRNA)-microbiome interactions play an essential role in host health and disease. METHODS: To investigate the gut microbiome and host miRNA profiles in colitis, we used a Dextran Sulfate Sodium (DSS)-induced ulcerative colitis (UC) model. Metagenomic sequencing and metabolome profiling were performed to explore typical microbiota and metabolite signatures in colitis, whereas mRNA and miRNA sequencing were used to determine differentially expressed miRNAs and their target genes in the inflamed colon. RESULTS: A total of 986 miRNAs were identified between the two groups, with 41 upregulated and 21 downregulated miRNAs in colitis mice compared to the control group. Notably, the target genes of these significantly altered miRNAs were primarily enriched in the immune and inflammation-related pathways. Second, LEfSe analysis revealed bacterial biomarkers distinguishing the two groups, with significantly higher levels of commonly encountered pathogens such as Escherichia coli and Shigella flexneri in the UC group, whereas beneficial species such as Bifidobacterium pseudolongum were more abundant in the control group. Microbiota metabolites histamine, N-acetylhistamine, and glycocholic acid were found to be downregulated in colitis mice. Spearman correlation further revealed the potential crosstalk between the microbiota profile and colonic miRNA, revealing the possibility of microbiome–miRNA interactions involved in IBD development. CONCLUSIONS: Our data reveal the relationships between multi-omic features during UC and suggest that targeting specific miRNAs may provide new avenues for the development of effective miRNA-based therapeutics. Taylor & Francis 2023-09-29 /pmc/articles/PMC10543339/ /pubmed/37774039 http://dx.doi.org/10.1080/07853890.2023.2261477 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Gastroenterology Ma, Lingyan Hou, Chenyang Yang, Hua Chen, Qu Lyu, Wentao Wang, Zhen Wang, Jianfeng Xiao, Yingping Multi-omics analysis reveals the interaction of gut microbiome and host microRNAs in ulcerative colitis |
title | Multi-omics analysis reveals the interaction of gut microbiome and host microRNAs in ulcerative colitis |
title_full | Multi-omics analysis reveals the interaction of gut microbiome and host microRNAs in ulcerative colitis |
title_fullStr | Multi-omics analysis reveals the interaction of gut microbiome and host microRNAs in ulcerative colitis |
title_full_unstemmed | Multi-omics analysis reveals the interaction of gut microbiome and host microRNAs in ulcerative colitis |
title_short | Multi-omics analysis reveals the interaction of gut microbiome and host microRNAs in ulcerative colitis |
title_sort | multi-omics analysis reveals the interaction of gut microbiome and host micrornas in ulcerative colitis |
topic | Gastroenterology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543339/ https://www.ncbi.nlm.nih.gov/pubmed/37774039 http://dx.doi.org/10.1080/07853890.2023.2261477 |
work_keys_str_mv | AT malingyan multiomicsanalysisrevealstheinteractionofgutmicrobiomeandhostmicrornasinulcerativecolitis AT houchenyang multiomicsanalysisrevealstheinteractionofgutmicrobiomeandhostmicrornasinulcerativecolitis AT yanghua multiomicsanalysisrevealstheinteractionofgutmicrobiomeandhostmicrornasinulcerativecolitis AT chenqu multiomicsanalysisrevealstheinteractionofgutmicrobiomeandhostmicrornasinulcerativecolitis AT lyuwentao multiomicsanalysisrevealstheinteractionofgutmicrobiomeandhostmicrornasinulcerativecolitis AT wangzhen multiomicsanalysisrevealstheinteractionofgutmicrobiomeandhostmicrornasinulcerativecolitis AT wangjianfeng multiomicsanalysisrevealstheinteractionofgutmicrobiomeandhostmicrornasinulcerativecolitis AT xiaoyingping multiomicsanalysisrevealstheinteractionofgutmicrobiomeandhostmicrornasinulcerativecolitis |