Uncovering a causal connection between the

Lachnoclostridium genus Mendelian randomization causal effects gut microbiota non-alcoholic fatty liver

Journal

Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977

Informations de publication

Date de publication:
2023
Historique:
received: 13 08 2023
accepted: 21 11 2023
medline: 9 1 2024
pubmed: 9 1 2024
entrez: 9 1 2024
Statut: epublish

Résumé

Previous observational studies have indicated that an imbalance in gut microbiota may contribute to non-alcoholic fatty liver disease (NAFLD). However, given the inevitable bias and unmeasured confounders in observational studies, the causal relationship between gut microbiota and NAFLD cannot be deduced. Therefore, we employed a two-sample Mendelian randomization (TSMR) study to assess the causality between gut microbiota and NAFLD. The gut microbiota-related genome-wide association study (GWAS) data of 18,340 individuals were collected from the International MiBioGen consortium. The GWAS summary data for NAFLD from the Anstee cohort (1,483 cases and 17,781 controls) and the FinnGen consortium (894 cases and 217,898 controls) were utilized in the discovery and verification phases, respectively. The inverse variance weighted (IVW) method was used as the principal method in our Mendelian randomization (MR) study, with sensitivity analyses using the MR-Egger, weighted median, simple mode, and weighted mode methods. The MR-Egger intercept test, Cochran's The gene prediction results showed that at the genus level, four gut microbiota were causally associated with NAFLD in the GWAS conducted by Anstee et al. The relative abundance of This study provided new evidence of the relationship between the

Sections du résumé

Background UNASSIGNED
Previous observational studies have indicated that an imbalance in gut microbiota may contribute to non-alcoholic fatty liver disease (NAFLD). However, given the inevitable bias and unmeasured confounders in observational studies, the causal relationship between gut microbiota and NAFLD cannot be deduced. Therefore, we employed a two-sample Mendelian randomization (TSMR) study to assess the causality between gut microbiota and NAFLD.
Methods UNASSIGNED
The gut microbiota-related genome-wide association study (GWAS) data of 18,340 individuals were collected from the International MiBioGen consortium. The GWAS summary data for NAFLD from the Anstee cohort (1,483 cases and 17,781 controls) and the FinnGen consortium (894 cases and 217,898 controls) were utilized in the discovery and verification phases, respectively. The inverse variance weighted (IVW) method was used as the principal method in our Mendelian randomization (MR) study, with sensitivity analyses using the MR-Egger, weighted median, simple mode, and weighted mode methods. The MR-Egger intercept test, Cochran's
Results UNASSIGNED
The gene prediction results showed that at the genus level, four gut microbiota were causally associated with NAFLD in the GWAS conducted by Anstee et al. The relative abundance of
Conclusion UNASSIGNED
This study provided new evidence of the relationship between the

Identifiants

pubmed: 38192292
doi: 10.3389/fmicb.2023.1276790
pmc: PMC10773585
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1276790

Informations de copyright

Copyright © 2023 Zhou, Cai, Xie, Dai, Jiang, Li and Zhang.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Wanhui Dai (W)

Department of Clinical Laboratory, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, China.

Dandong Cai (D)

Department of Neurology, The Fifth People's Hospital of Huai'an, Huai'an, China.

Shuai Zhou (S)

Department of Endocrinology, Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, China.

Ang Li (A)

Department of Endocrinology, Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, China.

Jinsong Xie (J)

Department of Clinical Laboratory, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, China.

Jie Zhang (J)

Department of Endocrinology, Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, China.

Classifications MeSH