Consensus network analysis reveals pathways associated with lung function decline in both COPD and IPF

慢性阻塞性肺病 医学 DLCO公司 特发性肺纤维化 表型 肺功能 免疫学 基因 肺病 肺功能测试 间质性肺病 内科学 扩散能力 生物 遗传学
作者
John H. McDonough,Bart M. Vanaudenaerde,Wim A. Wuyts,Naftali Kaminski
出处
期刊:European Respiratory Journal 被引量:1
标识
DOI:10.1183/1393003.congress-2017.pa3484
摘要

Introduction: COPD and IPF are both diseases associated with smoking and aging but with contrasting pathologies: COPD by tissue destruction and IPF with increased fibrotic tissue. However, IPF patients also commonly present with Combined Pulmonary Fibrosis and Emphysema (CPFE) suggesting that despite very different phenotypes, common pathways may occur in both COPD and IPF. In this study, we analyzed gene expression using a weighted gene connectivity consensus network to identify groups of genes with correlated expression that are present in both COPD and IPF. Methods: GEO dataset 47460 consisting of 105 control, 211 COPD, and 159 IPF subjects collected by the Lung Tissue Research Consortium was analyzed. A consensus WGCNA was applied to the COPD and IPF samples to determine overlapping groups of correlated genes. These modules were then correlated to lung function (DLCO, FEV1, FVC) with adjustment for multiple comparisons. Genes in each module that were correlated to both module and lung function were used to determine GO pathways. Results: A total of 44 consensus modules were identified with 19 having significant correlation with lung function (p Conclusion: This study highlights pathways that are present in both COPD and IPF that are related to lung function decline using network analysis. We found overlapping immune response and cellular stress pathways and downregulation of pathways related to cellular adhesion present in both COPD and IPF. Further confirmation on CPFE lungs to determine clinical relevance is required.

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