Evaluating Salidroside as a Therapeutic Agent for Vascular Calcification Using Network Pharmacology and Experimental Rat Models

红景天苷 药理学 医学 钙化 神经科学 生物 病理
作者
Hao Xu,Xiaolei Tang,Pengfei Li,Dongmei Zhang,Guang Ta,Jing Lü,Jian Wang
出处
期刊:Journal of Visualized Experiments [MyJOVE]
卷期号: (215)
标识
DOI:10.3791/67728
摘要

Vascular calcification (VC) is a critical pathological condition associated with significant morbidity and mortality. This study employs a hybrid approach of network pharmacology and molecular biology to delineate the therapeutic mechanisms of salidroside (SAL), an active compound from Rhodiola crenulata, against VC. Through database mining and network analysis, 388 SAL targets intersecting with 2871 VC-associated targets were identified, resulting in 208 common targets. A protein-protein interaction (PPI) network constructed via the String database and topological analysis in Cytoscape 3.9.1 pinpointed 10 key targets, including IL6, TNF, TP53, IL1B, HIF1A, CASP3, and STAT3, among others. The identified genes were concentrated in the lipid and atherosclerosis pathways, indicating that the improvement of VC by SAL may occur through the regulation of abnormal expression of lipid and inflammatory factors. It was also found that SAL inhibits the abnormal expression of inflammatory factors, thereby activating the JAK2/STAT3 pathway to intervene in the progression of VC. The JAK2/STAT3 pathway is a key molecular mechanism by which SAL prevents further deterioration of VC. Functional enrichment analyses revealed the involvement of these targets in inflammatory responses and lipid metabolism, pivotal pathways in VC. In vivo studies in rats demonstrated SAL's efficacy in mitigating dyslipidemia and vascular inflammation, with improved serum lipid profiles and reduced vascular calcium deposition. The mechanistic exploration, grounded in Western blot analysis, demonstrated salidroside's ability to regulate the JAK2/STAT3 signaling pathway, highlighting its potential as a modulator in this critical molecular mechanism and offering a potential therapeutic target for VC. The strength of this research lies in its methodological rigor, integrating computational predictions with in vivo validations. This comprehensive approach establishes a robust framework for exploring the therapeutic mechanisms of natural compounds in combating VC.
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