Integrative omics analysis identifies biomarkers of idiopathic pulmonary fibrosis.
Peiyan ZhengShixue SunJingxian WangZhangkai Jason ChengKuan Cheok LeiMingshan XueTeng ZhangHuimin HuangXiaohua Douglas ZhangBao-Qing SunPublished in: Cellular and molecular life sciences : CMLS (2022)
Idiopathic pulmonary fibrosis (IPF) is an interstitial lung disease characterized by chronic progressive pulmonary fibrosis and a poor prognosis. Genetic studies, including transcriptomic and proteomics, have provided new insight into revealing mechanisms of IPF. Herein we provided a novel strategy to identify biomarkers by integrative analysis of transcriptomic and proteomic profiles of IPF patients. We examined the landscape of IPF patients' gene expression in the transcription and translation phases and investigated the expression and functions of two new potential biomarkers. Differentially expressed (DE) mRNAs were mainly enriched in pathways associated with immune system activities and inflammatory responses, while DE proteins are related to extracellular matrix production and wound repair. The upregulated genes in both phases are associated with wound repair and cell differentiation, while the downregulated genes in both phases are associated with reduced immune activities and the damage of the alveolar tissues. On this basis, we identified thirteen potential marker genes. Among them, we validated the expression changes of butyrophilin-like 9 (BTNL9) and plasmolipin (PLLP) and investigated their functional pathways in the IPF mechanism. Both genes are downregulated in the tissues of IPF patients and Bleomycin-induced mice, and co-expression analysis indicates that they have a protective effect by inhibiting extracellular matrix production and promoting wound repair in alveolar epithelial cells.
Keyphrases
- idiopathic pulmonary fibrosis
- interstitial lung disease
- poor prognosis
- extracellular matrix
- gene expression
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- ejection fraction
- prognostic factors
- long non coding rna
- dna methylation
- multiple sclerosis
- systemic sclerosis
- single cell
- risk assessment
- pulmonary fibrosis
- oxidative stress
- insulin resistance
- drug induced
- climate change
- endothelial cells
- binding protein
- genome wide analysis
- high speed