东亚
孟德尔随机化
遗传学
生物
医学
疾病
孟德尔遗传
基因
生物信息学
基因型
尘肺病
免疫学
等位基因
计算生物学
作者
Chen Zhang,Bin Wan,Yanxia Zhang,Tao Xiong,Yi Li,Xue Su,Gang Liu,Y. Wei,Yuan Sun,Jing Fen Zhang,Yu Xiao,Yi Wei Shi
出处
期刊:PubMed
[National Institutes of Health]
日期:2025-10-20
卷期号:38 (10): 1270-1286
摘要
Objective: Pneumoconiosis, a lung disease caused by irreversible fibrosis, represents a significant public health burden. This study investigates the causal relationships between gut microbiota, gene methylation, gene expression, protein levels, and pneumoconiosis using a multi-omics approach and Mendelian randomization (MR). Methods: We analyzed gut microbiota data from MiBioGen and Esteban et al. to assess their potential causal effects on pneumoconiosis subtypes (asbestosis, silicosis, and inorganic pneumoconiosis) using conventional and summary-data-based MR (SMR). Gene methylation and expression data from Genotype-Tissue Expression and eQTLGen, along with protein level data from deCODE and UK Biobank Pharma Proteomics Project, were examined in relation to pneumoconiosis data from FinnGen. To validate our findings, we assessed self-measured gut flora from a pneumoconiosis cohort and performed fine mapping, drug prediction, molecular docking, and Phenome-Wide Association Studies to explore relevant phenotypes of key genes. Results: were significantly associated with pneumoconiosis risk. Conclusions: ) with pneumoconiosis, offering insights into potential therapeutic targets and personalized treatment strategies.
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