Cargando…

Causal effects of gut microbiome on autoimmune liver disease: a two-sample Mendelian randomization study

BACKGROUND: Epidemiological studies have indicated a potential link between the gut microbiome and autoimmune liver disease (AILD) such as autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC). The relationship between the gut microbiome and autoimmu...

Descripción completa

Detalles Bibliográficos
Autores principales: Fu, Yugang, Li, Jiacheng, Zhu, Yingying, Chen, Chong, Liu, Jing, Gu, Simin, Zheng, Yiyuan, Li, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548566/
https://www.ncbi.nlm.nih.gov/pubmed/37789337
http://dx.doi.org/10.1186/s12920-023-01670-0
_version_ 1785115294934499328
author Fu, Yugang
Li, Jiacheng
Zhu, Yingying
Chen, Chong
Liu, Jing
Gu, Simin
Zheng, Yiyuan
Li, Yong
author_facet Fu, Yugang
Li, Jiacheng
Zhu, Yingying
Chen, Chong
Liu, Jing
Gu, Simin
Zheng, Yiyuan
Li, Yong
author_sort Fu, Yugang
collection PubMed
description BACKGROUND: Epidemiological studies have indicated a potential link between the gut microbiome and autoimmune liver disease (AILD) such as autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC). The relationship between the gut microbiome and autoimmune liver disease is still uncertain due to confounding variables. In our study, we aim to shed light on this relationship by employing a two-sample Mendelian randomization approach. METHODS: We conducted a two-sample Mendelian randomization (MR) study using the R package "TwoSampleMR". The exposure data consisted of genetic variants associated with 194 bacterial traits obtained from the MiBioGen consortium. Summary statistics for AILD were obtained from the GWAS Catalog website. Furthermore, a series of sensitivity analyses were performed to validate the initial MR results. RESULTS: There were two, four and three bacteria traits associated with an increased risk of AIH. PBC, and PSC respectively. In contrast, there were five, two and five bacteria traits associated with a decreased risk for AIH, PBC and PSC. Notably, the genus_Clostridium_innocuum_group showed a negative association with AIH (OR = 0.67, 95% CI: 0.49–0.93), and the genus_Actinomyces was found to be genetically associated with a decreased risk of PSC (OR = 0.62, 95% CI: 0.42–0.90). CONCLUSIONS: Our study identified the causal impact of specific bacterial features on the risk of AILD subtypes. Particularly, the genus_Clostridium_innocuum_group and the genus_Actinomyces demonstrated significant protective effects against AIH and PSC respectively. These findings provide further support for the potential use of targeted probiotics in the management of AILD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01670-0.
format Online
Article
Text
id pubmed-10548566
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-105485662023-10-05 Causal effects of gut microbiome on autoimmune liver disease: a two-sample Mendelian randomization study Fu, Yugang Li, Jiacheng Zhu, Yingying Chen, Chong Liu, Jing Gu, Simin Zheng, Yiyuan Li, Yong BMC Med Genomics Research BACKGROUND: Epidemiological studies have indicated a potential link between the gut microbiome and autoimmune liver disease (AILD) such as autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC). The relationship between the gut microbiome and autoimmune liver disease is still uncertain due to confounding variables. In our study, we aim to shed light on this relationship by employing a two-sample Mendelian randomization approach. METHODS: We conducted a two-sample Mendelian randomization (MR) study using the R package "TwoSampleMR". The exposure data consisted of genetic variants associated with 194 bacterial traits obtained from the MiBioGen consortium. Summary statistics for AILD were obtained from the GWAS Catalog website. Furthermore, a series of sensitivity analyses were performed to validate the initial MR results. RESULTS: There were two, four and three bacteria traits associated with an increased risk of AIH. PBC, and PSC respectively. In contrast, there were five, two and five bacteria traits associated with a decreased risk for AIH, PBC and PSC. Notably, the genus_Clostridium_innocuum_group showed a negative association with AIH (OR = 0.67, 95% CI: 0.49–0.93), and the genus_Actinomyces was found to be genetically associated with a decreased risk of PSC (OR = 0.62, 95% CI: 0.42–0.90). CONCLUSIONS: Our study identified the causal impact of specific bacterial features on the risk of AILD subtypes. Particularly, the genus_Clostridium_innocuum_group and the genus_Actinomyces demonstrated significant protective effects against AIH and PSC respectively. These findings provide further support for the potential use of targeted probiotics in the management of AILD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01670-0. BioMed Central 2023-10-03 /pmc/articles/PMC10548566/ /pubmed/37789337 http://dx.doi.org/10.1186/s12920-023-01670-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Fu, Yugang
Li, Jiacheng
Zhu, Yingying
Chen, Chong
Liu, Jing
Gu, Simin
Zheng, Yiyuan
Li, Yong
Causal effects of gut microbiome on autoimmune liver disease: a two-sample Mendelian randomization study
title Causal effects of gut microbiome on autoimmune liver disease: a two-sample Mendelian randomization study
title_full Causal effects of gut microbiome on autoimmune liver disease: a two-sample Mendelian randomization study
title_fullStr Causal effects of gut microbiome on autoimmune liver disease: a two-sample Mendelian randomization study
title_full_unstemmed Causal effects of gut microbiome on autoimmune liver disease: a two-sample Mendelian randomization study
title_short Causal effects of gut microbiome on autoimmune liver disease: a two-sample Mendelian randomization study
title_sort causal effects of gut microbiome on autoimmune liver disease: a two-sample mendelian randomization study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548566/
https://www.ncbi.nlm.nih.gov/pubmed/37789337
http://dx.doi.org/10.1186/s12920-023-01670-0
work_keys_str_mv AT fuyugang causaleffectsofgutmicrobiomeonautoimmuneliverdiseaseatwosamplemendelianrandomizationstudy
AT lijiacheng causaleffectsofgutmicrobiomeonautoimmuneliverdiseaseatwosamplemendelianrandomizationstudy
AT zhuyingying causaleffectsofgutmicrobiomeonautoimmuneliverdiseaseatwosamplemendelianrandomizationstudy
AT chenchong causaleffectsofgutmicrobiomeonautoimmuneliverdiseaseatwosamplemendelianrandomizationstudy
AT liujing causaleffectsofgutmicrobiomeonautoimmuneliverdiseaseatwosamplemendelianrandomizationstudy
AT gusimin causaleffectsofgutmicrobiomeonautoimmuneliverdiseaseatwosamplemendelianrandomizationstudy
AT zhengyiyuan causaleffectsofgutmicrobiomeonautoimmuneliverdiseaseatwosamplemendelianrandomizationstudy
AT liyong causaleffectsofgutmicrobiomeonautoimmuneliverdiseaseatwosamplemendelianrandomizationstudy