Exploring the Causal Relationship Between Immune Cells and Idiopathic Pulmonary Fibrosis: A Mendelian Randomization Analysis

IF 2.6 4区医学 Q2 MEDICAL LABORATORY TECHNOLOGY

Journal of Clinical Laboratory Analysis Pub Date : 2025-04-01 DOI:10.1002/jcla.70026

Peng Gong, Yimin Lu, Xi Chai, Xiaobo Li

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Abstract

Background

Idiopathic pulmonary fibrosis (IPF) is a progressive and irreversible interstitial lung disease with a complex pathogenesis involving multiple immune cells. This study investigates the relationship between immune cells and IPF using Mendelian randomization (MR) analysis.

Methods

A two-sample MR analysis was performed using genome-wide association studies (GWAS) and immune cell databases by R software. We analyzed data from 1028 European individuals with IPF, focusing on 731 immune traits. The primary method of analysis was inverse variance weighting (IVW), supplemented with sensitivity analyses, including MR-Egger regression and MR-PRESSO, to detect and correct for pleiotropy.

Results

The MR analysis identified six immune panels and 23 immune traits significantly associated with IPF, including five traits that increase and 18 traits that decrease IPF risk. Notable traits increasing IPF risk included switched memory B-cells (OR = 1.27, p = 0.0029) and IgD- CD38dim B-cells (OR = 1.08, p = 0.0449). Traits associated with a reduced IPF risk included central memory CD4+ T-cells (%CD4+, OR = 0.96, p = 0.0489), CD20 on naive-mature B-cells (OR = 0.94, p = 0.0499), and CD33br HLA-DR+ absolute count (AC) (OR = 0.93, p = 0.0489). There was no significant causal relationship between IPF disease and some immune traits (p > 0.05).

Conclusion

This study suggests a potential causal link between specific immune cell traits and the development of IPF, providing new insights into the disease's immunological mechanisms. Future research should focus on validating these findings in larger, more diverse populations to inform drug development and therapeutic strategies.

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查看原文本刊更多论文

探索免疫细胞与特发性肺纤维化之间的因果关系：孟德尔随机分析。

背景：特发性肺纤维化（IPF）是一种进行性、不可逆的间质性肺疾病，发病机制复杂，涉及多种免疫细胞。本研究利用孟德尔随机化（MR）分析研究免疫细胞与IPF之间的关系。方法：采用全基因组关联研究（GWAS）和免疫细胞数据库，采用R软件进行双样本MR分析。我们分析了1028名欧洲IPF患者的数据，重点分析了731种免疫特征。主要的分析方法是逆方差加权（IVW），辅以敏感性分析，包括MR-Egger回归和MR-PRESSO，以检测和校正多效性。结果：MR分析确定了6个免疫组和23个与IPF显著相关的免疫性状，包括5个增加IPF风险的性状和18个降低IPF风险的性状。增加IPF风险的显著性状包括开关记忆b细胞（OR = 1.27, p = 0.0029）和IgD- CD38dim b细胞（OR = 1.08, p = 0.0449）。与IPF风险降低相关的特征包括中枢记忆CD4+ t细胞（%CD4+, OR = 0.96, p = 0.0489）、未成熟b细胞CD20 （OR = 0.94, p = 0.0499）和CD33br HLA-DR+绝对计数（AC）（OR = 0.93, p = 0.0489）。IPF发病与部分免疫性状无显著的因果关系（p < 0.05）。结论：本研究提示特异性免疫细胞特征与IPF的发展之间存在潜在的因果关系，为该病的免疫学机制提供了新的见解。未来的研究应侧重于在更大、更多样化的人群中验证这些发现，从而为药物开发和治疗策略提供信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Clinical Laboratory Analysis 医学-医学实验技术

CiteScore

5.60

自引率

7.40%

发文量

584

审稿时长

6-12 weeks

期刊介绍： Journal of Clinical Laboratory Analysis publishes original articles on newly developing modes of technology and laboratory assays, with emphasis on their application in current and future clinical laboratory testing. This includes reports from the following fields: immunochemistry and toxicology, hematology and hematopathology, immunopathology, molecular diagnostics, microbiology, genetic testing, immunohematology, and clinical chemistry.