Back

Therapeutic Potential of 20E in Pulmonary Arterial Hypertension: Involvement of Mas Receptor and PI3K/Akt Pathway

Lu, T.; Jia, W.; Wang, Y.; Ma, Y.; Du, F.; Gao, H.; Song, C.; Li, H.; Jin, X.; Liu, C.; Jin, H.; Lin, Y.

2025-04-06 molecular biology
10.1101/2025.04.03.647130 bioRxiv
Show abstract

BACKGROUND20-Hydroxyecdysone (20E), a natural polyhydroxylated steroid found in various edible plants, exhibits diverse pharmacological effects. This study aims to investigate the preventive and therapeutic effects of 20E on pulmonary arterial hypertension (PAH) and elucidate its underlying molecular mechanisms. METHODSA monocrotaline (MCT)-induced PAH rat model was utilized to evaluate the efficacy of 20E. The Mas receptor antagonist A779 and agonist AVE0991 were used to investigate the role of Mas in PAH progression and 20E-mediated prevention. Molecular docking and pull-down assays were conducted to confirm the interaction between 20E and the Mas receptor. In vitro, the effects of 20E on Ang II-induced proliferation and migration of human pulmonary arterial smooth muscle cells (HPASMCs) were assessed. The PI3K/Akt signaling pathway was analyzed by Western blot. RESULTS20E prevented PAH at 30 mg/kg and 90 mg/kg, while 90 mg/kg rescued pre-existing PAH. The protective effects of 20E were attenuated by A779. 20E upregulated Mas receptor expression and directly bound to it. In vitro, 20E inhibited Ang II-induced HPASMC proliferation and migration. It also downregulated p-PI3K, p-Akt, and p-mTOR while restoring P27 and P21 expression. Furthermore, knockdown of the Mas in HPASMCs abolished the effects of 20E on these processes. CONCLUSIONS20E inhibits PASMC proliferation and migration by activating the Mas receptor and modulating the downstream PI3K/Akt signaling pathway, thereby effectively preventing and rescuing PAH. It may be a promising pharmacological candidate for PAH treatment.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.