数据挖掘和实验验证确定了核心草药组合作为恶性淋巴瘤的治疗剂
Yidong Zhu1, Ting Zhang2, Xiaoyi Jin3
1Department of Traditional Chinese Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China. zhuyidong0813@foxmail.com.
Naunyn-Schmiedeberg's archives of pharmacology
|December 12, 2025
概括
传统中医 (TCM) 具有治疗恶性淋巴瘤 (ML) 的潜力. 数据挖掘发现了一种核心草药组合,通过抑制PI3K-Akt通路来抑制瘤生长.
科学领域:
- 综合性瘤学 综合性瘤学
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
背景情况:
- 恶性淋巴瘤 (ML) 提出了治疗挑战,需要新的治疗策略.
- 耐药性和复发性ML病例的预后不佳,这强调了需要新的治疗方法.
- 传统中医 (TCM) 为新型治疗剂提供了潜在的来源.
研究的目的:
- 通过数据挖掘和实验验证识别ML的潜在TCM治疗剂.
- 探索TCM在ML治疗中的潜在机制.
- 确定用于ML治疗的核心草药组合.
主要方法:
- 用于ML的TCM处方的数据挖掘,包括关联规则挖掘.
- 使用ML异种移植瘤模型进行体内实验.
- 网络药理学和分子对接用于机制探索.
- 西方斑点分析以验证途径参与.
主要成果:
- 确定了118种TCM处方和213种草药;确定了Glycyrrhiza uralensis,准备的雷曼尼亚根和阿斯特拉加卢斯膜状的核心组合.
- 在ML异种移植模型中,鉴定的草药组合显著抑制了瘤生长.
- 功能分析显示PI3K-Akt信号通路是关键目标,在治疗瘤中观察到抑制激活.
结论:
- 数据挖掘成功地确定了用于ML治疗的核心TCM草药组合.
- 鉴定的组合在体内显示出抗瘤疗效,与PI3K-Akt路径抑制有关.
- 这些发现支持TCM作为ML治疗的可行方法,保证进一步的研究和临床应用.
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