SysNatMed:通过系统遗传学的理性自然医学发现
Chang-Qing Ye1,2,3, Jie Leng3, Meng-Yuan Jin1
1Hubei Key Laboratory of Biological Resources Protection and Utilization, Hubei Minzu University, Enshi, China.
Frontiers in pharmacology
|March 18, 2025
概括
这项研究引入了一种数据驱动的框架,用于发现阿尔茨海默病 (AD) 等疾病的自然药物 (NM). 研究人员确定并验证了Dang Gui和Dang Shen两种草药,用于在老鼠模型中预防AD.
科学领域:
- 系统遗传学 系统遗传学
- 药理学 药理学是指药理学的学科.
- 计算生物学是一种计算生物学.
背景情况:
- 自然医学 (NM) 是现代医学的重要补充,但仍未得到充分利用.
- 需要一种新的数据驱动方法来发现自然医学.
研究的目的:
- 开发一个透明的,数据驱动的框架,用于基于系统遗传学的自然医学发现.
- 识别和评估用于阿尔茨海默病 (AD) 管理和预防的自然医学候选者.
主要方法:
- 收集了关于AD和定量特征位置的GWAS总结统计数据.
- 使用基于摘要的门德尔随机化对疾病基因关联进行排名.
- 使用 BATMAN-TCM v2.0 数据库编译了成分,天然产品和目标基因之间的等级关系.
- 优先考虑的NM候选人对AD和在老鼠模型中验证的疗效.
主要成果:
- 开发了一个透明的,数据驱动的NM发现框架.
- 确定了139个优先考虑的NM候选人用于AD管理.
- 在大鼠模型中证明了Dang Gui (Angelicae Sinensis Radix,ASR) 和Dang Shen (Codonopsis Pilosula,CP) 在AD预防方面的有效性.
- 显示的ASR通过神经细胞保护和抑制微质,血管生成,炎症和细胞外基质来预防AD相关的损伤.
结论:
- 开发的方法为疾病治疗和预防提供了新的补充医学策略的潜力.
- 这种方法对于复杂的多基因疾病尤其有希望.
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