Bioinformatics-based identification and experimental validation of biomarkers in pulmonary arterial hypertension - PubMed
9 hours ago
- #Biomarkers
- #Pulmonary Arterial Hypertension
- #Bioinformatics
- Current PAH diagnostic methods rely on right heart catheterization, which limits early screening.
- Imaging techniques lack sensitivity for early detection of pulmonary pressure changes, leading to late-stage diagnosis.
- The study analyzed the GSE113439 dataset to identify differentially expressed genes and pathways associated with PAH.
- Key pathways identified include focal adhesion, vascular smooth muscle contraction, RNA degradation, ferroptosis, and 2-oxocarboxylic acid metabolism.
- Five hub genes (NOP58, DDX21, ABCE1, CDC5L, HSP90AA1) were identified as potential diagnostic biomarkers and therapeutic targets.
- Immune cell analysis revealed significant differences in memory B cells, CD8 T cells, follicular helper T cells, and other immune cells between PAH patients and controls.
- The study validated the expression of hub genes in human pulmonary arterial smooth muscle cells and PAH rat models.
- The findings suggest the need for larger-sample studies to validate the clinical applicability of these biomarkers.