Gene correlation network analysis to identify regulatory factors in idiopathic pulmonary fibrosis
McDonough JE, Kaminski N, Thienpont B, Hogg JC, Vanaudenaerde BM, Wuyts WA. Gene correlation network analysis to identify regulatory factors in idiopathic pulmonary fibrosis. Thorax 2018, 74: 132. PMID: 30366970, PMCID: PMC6467239, DOI: 10.1136/thoraxjnl-2018-211929.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisLung functionPulmonary fibrosisExtensive pathological changesSevere lung diseaseLung Tissue Research ConsortiumCorrelation network analysisIPF cohortIPF groupLung diseaseControl subjectsUpregulated modulesT cellsImmune responsePathological changesLeucocyte activationB cellsClinical relevanceSurfactant metabolismDisease pathologyInterferon responseFibrosisBlood vesselsPathological processesGene correlation network analysisA role for telomere length and chromosomal damage in idiopathic pulmonary fibrosis
McDonough JE, Martens DS, Tanabe N, Ahangari F, Verleden SE, Maes K, Verleden GM, Kaminski N, Hogg JC, Nawrot TS, Wuyts WA, Vanaudenaerde BM. A role for telomere length and chromosomal damage in idiopathic pulmonary fibrosis. Respiratory Research 2018, 19: 132. PMID: 29986708, PMCID: PMC6038197, DOI: 10.1186/s12931-018-0838-4.Peer-Reviewed Original ResearchConceptsIPF lungsDisease severityChromosomal damagePulmonary fibrosisTelomere lengthBackgroundIdiopathic pulmonary fibrosisRegional disease severityStructural disease severityIdiopathic pulmonary fibrosisFatal lung diseaseAirway epithelial cellsMultivariate linear mixed-effects modelDonor lungsFibroblastic fociLung diseaseFibrotic markersTransplant surgeryPathological changesSevere diseaseLungLinear mixed-effects modelsQuantitative histologyMixed-effects modelsExtracellular matrixSeverity