普拉克里蒂阐明了冠状动脉疾病风险预测生物标志物的个体间变异性:一项基于第三级保健医院的病例控制研究

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Updated: Sep 10, 2025

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Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty

Published on: January 28, 2020

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Pamila Dua¹, Bhavana Prasher², Sandeep Seth³

¹Department of Pharmacology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.

Journal of Ayurveda and integrative medicine

|August 19, 2025

概括

阿育吠陀Prakriti分类,结合生物化学标记,提供精确的冠状动脉疾病 (CAD) 风险预测. 这种方法识别了与瓦塔,卡法和皮塔表型相关的特定风险,用于个性化CAD管理.

科学领域:

综合医学是一个整体的医学.
心血管研究研究心血管研究
生化分析生化分析

背景情况:

冠状动脉疾病 (CAD) 风险评估的生物化学标记因表型异质性而显示出相互矛盾的结果.
阿育吠陀的Prakriti (表型) 分类概念可能有助于预测疾病易感性和指导治疗.
这项研究探讨了阿育吠陀宪法类型和生化标志物之间的关联,以改善CAD风险预测.

研究的目的:

为了确定阿育吠陀Prakriti类型和生化标志物之间的关联,以准确预测CAD风险.
调查不同的表型如何影响CAD风险因素的表现.

主要方法:

招募了200名临床稳定的CAD患者和100名健康对照.
进行了一系列与CAD病理生理学相关的全面生物化学测试.
通过临床评估和基于AI/ML算法的验证问卷,评估Prakriti.

主要成果:

单细胞-淋巴细胞比率 (MLR),禁食血糖,尿素,肌素,尿酸和NT-pro BNP在CAD患者中显著升高.
卡法普拉克里蒂在CAD患者中最为普遍.
瓦塔患者的MLR和IL-6高;卡法患者的糖尿病控制不佳;皮塔患者的NT-pro BNP高.

结论:

普拉克里蒂分类提供了更深入的见解,精确的CAD风险超出个人生化参数.
综合Prakriti和生物化学标记物的双重方法可以增强个人化CAD管理治疗策略.

关键词:

艾尔维达是一种阿育韦德.生物标志物生物标志物冠状动脉疾病是一种冠状动脉疾病.现象型现象型是一种表现型.在Prakriti中使用.

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