Gene correlation network analysis to identify regulatory factors in idiopathic pulmonary fibrosis

被引:44
|
作者
McDonough, John E. [1 ]
Kaminski, Naftali [2 ]
Thienpont, Bernard [3 ]
Hogg, James C. [4 ]
Vanaudenaerde, Bart M. [1 ]
Wuyts, Wim A. [1 ]
机构
[1] Katholieke Univ Leuven, Dept Chron Dis Metab & Ageing, Lab Resp Dis, B-3000 Leuven, Belgium
[2] Yale Univ, Sect Pulm Crit Care & Sleep Med, New Haven, CT USA
[3] Katholieke Univ Leuven, Dept Human Genet, Lab Funct Epigenet, Leuven, Belgium
[4] Univ British Columbia, St Pauls Hosp, Ctr Heart Lung Innovat, Vancouver, BC, Canada
关键词
ANALYSIS REVEALS; EXPRESSION; CELLS; SIGNATURES; DISEASE; LUNG;
D O I
10.1136/thoraxjnl-2018-211929
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background Idiopathic pulmonary fibrosis (IPF) is a severe lung disease characterised by extensive pathological changes. The objective for this study was to identify the gene network and regulators underlying disease pathology in IPF and its association with lung function. Methods Lung Tissue Research Consortium dataset with 262 IPF and control subjects (GSE47460) was randomly divided into two non-overlapping groups for cross-validated differential gene expression analysis. Consensus weighted gene coexpression network analysis identified overlapping coexpressed gene modules between both IPF groups. Modules were correlated with lung function (diffusion capacity, DLCO; forced expiratory volume in 1 s, FEV1; forced vital capacity, FVC) and enrichment analyses used to identify biological function and transcription factors. Module correlation with miRNA data (GSE72967) identified associated regulators. Clinical relevance in IPF was assessed in a peripheral blood gene expression dataset (GSE93606) to identify modules related to survival. Results Correlation network analysis identified 16 modules in IPF. Upregulated modules were associated with cilia, DNA replication and repair, contractile fibres, B-cell and unfolded protein response, and extracellular matrix. Downregulated modules were associated with blood vessels, T-cell and interferon responses, leucocyte activation and degranulation, surfactant metabolism, and cellular metabolic and catabolic processes. Lung function correlated with nine modules (eight with DLCO, five with FVC). Intermodular network of transcription factors and miRNA showed clustering of fibrosis, immune response and contractile modules. The cilia-associated module was able to predict survival (p=0.0097) in an independent peripheral blood IPF cohort. Conclusions We identified a correlation gene expression network with associated regulators in IPF that provides novel insight into the pathological process of this disease.
引用
收藏
页码:132 / 140
页数:9
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