Causal relationship between gut microbiota and idiopathic pulmonary fibrosis: A bi-directional two-sample Mendelian randomization study
- VernacularTitle:肠道菌群与特发性肺纤维化因果关联的两样本、双向孟德尔随机化研究
- Author:
Xuanyu WU
1
;
Xiang XIAO
1
;
Jiajing CHEN
1
;
Xiaomin YU
2
;
Han YANG
3
Author Information
1. Clinical Medical College/Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, P. R. China
2. Classical Chinese Medicine Ward, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, P. R. China
3. Department of Geriatrics, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, P. R.China
- Publication Type:Journal Article
- Keywords:
Gut microbiota;
idiopathic pulmonary fibrosis;
causal association;
Mendelian randomization;
inverse variance weighted;
genome-wide association studies;
single nucleotide polymorphisms
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2026;33(04):584-591
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the causal relationship between gut microbiota and idiopathic pulmonary fibrosis (IPF). Methods Genome-wide association studies (GWAS) data of gut microbiota and IPF were obtained from MiBioGen and IEU OpenGWAS, respectively. Instrumental variables were screened by means of significance, linkage disequilibrium, weak instrumental variable screening, and removal of confounding factors (genetics, smoking, host characteristics). Inverse variance weighted (IVW) was used as the main Mendelian randomization (MR) analysis method, and the weighted median, simple mode, MR-Egger, and weighted mode were used to perform MR to reveal the causal effect of gut microbiota and IPF. The Cochrane's Q, leave-one-out, MR-Egger-intercept, and Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) and Steiger tests were used to analyze the heterogeneity, horizontal pleiotropy, outliers, and directionality, respectively. Results IVW analysis results showed that Actinobacteria [OR=1.773, 95%CI (1.323, 2.377), P<0.001], Erysipelatoclostridium [OR=2.077, 95%CI (1.107, 3.896), P=0.023], and Streptococcus [OR=1.35, 95%CI (1.100, 1.657), P=0.004] could increase the risk of IPF. Bifidobacterium [OR=0.668, 95%CI (0.620, 0.720), P<0.001], Ruminococcus [OR=0.434, 95%CI (0.222, 0.848), P=0.015], and Tyzzerella [OR=0.479, 95%CI (0.304, 0.755), P=0.001] could reduce the risk of IPF. No significant heterogeneity, horizontal pleiotropy, outliers, and reverse causality were found. Conclusion Actinobacteria, Erysipelatoclostridium and Streptococcus may increase the risk of IPF, while Bifidobacterium, Ruminococcus and Tyzzerella may reduce the risk of IPF. Regulation of the above gut microbiota may become a new direction in the study of the pathogenesis of IPF.
