随机试验和多组学,基于机器学习的机械探索,用于2型糖尿病患者的daixie脱颗粒
Zhong Zheng1, Kepei Zhang1, Xiaogang Ma1
1Traditional Chinese Medicine Department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Frontiers in pharmacology
|January 21, 2026
概括
戴克西开颗粒 (DDG) 与甲福明相结合,改善了2型糖尿病患者的血糖控制. 这项研究确定了八个核心目标,并涉及DDG的炎症,代谢和氧化应激途径.
科学领域:
- 综合医学是一个整体的医学.
- 药理学 药理学是指药理学的学科.
- 基因组学就是基因组学.
- 蛋白质组学是指蛋白质组学.
背景情况:
- 传统中医 (TCM) 为2型糖尿病 (T2DM) 提供了多目标方法.
- 像Daixie Decoction颗粒 (DDG) 这样的TCM干预的确切机制仍然不清楚.
- 将多omics数据与临床试验的整合可以阐明这些机制.
研究的目的:
- 评估DDG作为T2DM患者对甲福明的补充疗法的疗效.
- 通过使用多omics框架,为DDG的行动生成机械学假设.
- 为了确定潜在的治疗点和途径调节的DDG.
主要方法:
- 进行了一项随机,双盲,安慰剂对照试验 (RCT).
- 网络药理学和转录基因数据 (DEGs) 用于目标预测.
- 机器学习算法从集成的数据集中优先考虑核心目标.
- 血清蛋白质组学和组织特异性表达特征 (GTEx) 验证了计算结果.
主要成果:
- 与安慰剂相比,DDG附加疗法显著降低了HbA1c水平.
- 网络药理学和DEG分析确定了29个候选目标,优先考虑了8个核心目标.
- 血清蛋白质组学和丰富分析涉及PI3K-Akt信号,炎症和氧化应激通路.
- 这八个核心目标包括P2RX7,IL1B,PTPN1,AKT2,CD38,NFE2L2,NOS3和MERTK.
结论:
- 与甲胺结合的DDG在T2DM的血糖控制中提供了适度但显著的改善.
- DDG的多目标作用可能涉及炎症,代谢,氧化-内皮和血管分辨路径.
- 这项研究为DDG在T2DM中的治疗效果提供了可测试的机械学假设.
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