Exploring Causal Cytokines and Potential Regulatory Genes in Bronchiectasis: Findings from Mendelian randomization

Author:

Liao Wan-Zhe1,Zhou Hao-Bin2,Lin Zi-Kai2,Zhou Zhi-Yi1,Guo Xu-Guang1

Affiliation:

1. The Third Affiliated Hospital of Guangzhou Medical University

2. The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University

Abstract

Abstract Background Bronchiectasis is a chronic respiratory disease characterized by irreversible dilation of the bronchi, which leads to impaired mucociliary clearance, recurrent infections, and inflammatory responses. Despite advancements in diagnostic techniques and therapeutic strategies, the underlying etiological factors driving bronchiectasis pathogenesis remain incompletely elucidated. Methods Genome-wide data were utilized to conduct two-sample Mendelian randomization focusing on the causality from 41 inflammatory factors on bronchiectasis. Sensitivity tests were carried out to validate the reliability. SMR, coloc, and intermediary Mendelian randomization were utilized to determine latent upstream genes and estimate indirect effects. Results Four inflammatory factors’ potential causal effects on bronchiectasis were identified: MMIF (0.85 (0.74, 0.98) 0.029), IL-4 (1.32 (1.09, 1.55) 0.019), IFN-γ (1.28 (1.02, 1.60) 0.032), and FGF-Basic (1.28 (1.03, 1.59) 0.025) (FinnGen R9, IVW, reported as OR (95% CI) P). Sensitivity tests supported the direction consistency of IFN-γ and FGF-Basic’s estimates instead of MMIF and IL-4. RP11-589P10.5 was found to reduce the risk of bronchiectasis, mediated by the IFN-γ concentration (OR = 0.96, proportion = 36.52%). Conclusions Our study has identified strong evidence for potential positive causalities from IFN-γ and FGF-Basic. RP11-589P10.5 was found to latently decrease the risk of bronchiectasis, which is mediated by IFN-γ. At the genetic level, we anticipate that the cytokines and the gene can be taken into account in predictive models for bronchiectasis and even as indicators of the severity of the disease, providing new directions for future population research and basic experiments related to bronchiectasis.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3