来自Salvia miltiorrhiza的生物活性成分组合用于心血管保护的计算-实验识别
Yanxia Liu1, Jianing Zhang1, Zewen Wang1
1Key Laboratory of TCM-Information Engineer of State Administration of TCM, School of Chinese Material Medical, Beijing University of Chinese Medicine, Beijing, 102488, China.
Naunyn-Schmiedeberg's archives of pharmacology
|January 27, 2026
概括
本研究提出了一种计算实验策略,用于识别传统草药中用于心血管保护的关键生物活性成分. 一个定义的Salvia miltiorrhiza成分组合显示了与原始提取物相比较的活性.
科学领域:
- 药理学 药理学是指药理学的学科.
- 计算化学计算化学
- 草药是一种草药.
背景情况:
- 心血管疾病对全球健康造成重大负担,需要先进的药物发现方法.
- 传统的草药提供复杂的混合物,具有潜在的治疗益处,但它们的机制往往不清楚.
- 在复杂的草本提取物中有效地识别活性成分对于药物开发至关重要.
研究的目的:
- 开发和应用一个整合性的计算实验策略,以确定生物活性成分组合与传统草药的原始提取物可比活性 (BECC) 的组合.
- 使用Salvia miltiorrhiza (Danshen, DS) 作为心血管保护研究的模型.
- 为研究传统药物的多成分基础建立一个方法参考.
主要方法:
- 集成LC-MS/MS代谢物概况,反向目标捕捞,分子对接和药分析以构建组件-目标网络.
- 收集了139个潜在目标,26个生物活性成分和41个代谢物的数据.
- 利用目标活动频谱 (TAS) 和药理动力学活动频谱 (PAS) 分析来确定优先级.
主要成果:
- 确定了一个优先考虑的BECC,包括罗斯马林酸,沙尔维亚诺酸A和B,密度辛和辛I.
- 这种组合在体外显示了与原始Salvia miltiorrhiza提取物相比较的药理活性概况.
- 在心血管相关的细胞模型中验证了这个定义的多组件候选者的潜力.
结论:
- 该研究提供了一个综合策略的概念证明,以简化复杂的草本提取物到定义的成分组合中.
- 这种方法有助于随后对传统医学成分进行翻译性评估.
- 为传统医药的心血管研究提供了宝贵的方法参考.
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