hsa_circWDR37_016 Regulates Hypoxia-Induced Proliferation of Pulmonary Arterial Smooth Muscle Cells.
Shan-Shan LiShuang LiangYao LongXu ChenXin JinPublished in: Cardiovascular therapeutics (2022)
Pulmonary arterial hypertension (PAH) is characterized by abnormal remodeling of pulmonary vessel walls caused by excessive pulmonary arterial smooth muscle cell (PASMC) proliferation. Our previous clinical studies have demonstrated the importance of the downregulated circRNA in PAH. However, the role of upregulated circRNAs is still elusive. Here, we identified the upregulated circRNA in PAH patients, hsa_circWDR37_016 (circWDR37), as a key regulator of hypoxic proliferative disorder of pulmonary arterial smooth muscle cells (PASMCs). Quantitative real-time PCR (qRT-PCR) analysis validated that exposure to hypoxia markedly increased the circWDR37 level in cultured human PASMCs. As evidenced by flow cytometry, 5-ethynyl-2'-deoxyuridine (EdU) incorporation, wound healing, and Tunel assay, silencing of endogenous circWDR37 attenuated proliferation and cell-cycle progression in hypoxia-exposed human PASMCs in vitro. Furthermore, bioinformatics and Luciferase assay showed that circWDR37 directly sponged hsa-miR-138-5p (miR-138) and was involved in the immunoregulatory and inflammatory processes of PAH. Together, these studies suggested new insights into circRNA regulated the pathology of PAH, providing a new potential therapeutic target for PAH treatment.
Keyphrases
- pulmonary hypertension
- endothelial cells
- pulmonary arterial hypertension
- cell cycle
- polycyclic aromatic hydrocarbons
- smooth muscle
- cell proliferation
- pulmonary artery
- flow cytometry
- real time pcr
- signaling pathway
- high throughput
- wound healing
- end stage renal disease
- ejection fraction
- long non coding rna
- newly diagnosed
- pluripotent stem cells
- induced pluripotent stem cells
- oxidative stress
- single cell
- prognostic factors
- cell therapy
- body mass index
- coronary artery
- weight gain
- climate change
- risk assessment
- human health
- case control
- smoking cessation
- data analysis