Exploring synergy in ayurveda and traditional Indian systems of medicine

Q2 Medicine
Pulok K. Mukherjee, Subhadip Banerjee, Amit Kar
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引用次数: 25

Abstract

Synergy is a phenomenon of life. It has been observed that combinatory treatments may achieve more stable “network responses’’ than single drugs. Drug combination treatments are routinely applied in an increasing number of disciplines in medicine. Single drug treatments are less effective than drug combinations in complex treatment regimes. Plant derived herbal drugs or phytopharmaceuticals can be considered a natural “model” for combinatory treatments. Specific compositions of multi-component mixtures represent combined actions of single substances. Ayurveda, the traditional medicine of India has played an important role in disease management and health for many centuries, their present frequent use is challenged by the necessity to determine their complex composition and their multitarget mode of action. Ancient Ayurvedic literature like Sarangadhar Samhita focuses on the idea of synergy or ‘samyoga’. Network pharmacology research focuses on excellent systems biology techniques like protein interaction, genomic expression and mRNA expression data, which are employed to gain insight into the mechanism of action (MoA) prediction and validation. The following brief review provides valuable perspective regarding the bridge of Ayurveda and synergy research using network pharmacology as the tool to understand the molecular combination mechanism.

Abstract Image

探索阿育吠陀和传统印度医学系统的协同作用
协同作用是一种生活现象。据观察,联合治疗可能比单一药物获得更稳定的“网络反应”。药物联合治疗在越来越多的医学学科中得到常规应用。在复杂的治疗方案中,单一药物治疗不如药物联合治疗有效。植物衍生的草药或植物药物可以被认为是组合治疗的天然“模型”。多组分混合物的特定组成代表了单一物质的联合作用。许多世纪以来,印度传统医学阿育吠陀在疾病管理和健康方面发挥了重要作用,但由于需要确定其复杂的成分和多靶点的作用方式,它们目前的频繁使用受到了挑战。古老的阿育吠陀文学,如Sarangadhar Samhita,专注于协同作用或“samyoga”的想法。网络药理学研究侧重于蛋白质相互作用、基因组表达和mRNA表达数据等优秀的系统生物学技术,用于深入了解作用机制(MoA)的预测和验证。以下简要综述为阿育吠陀与协同研究的桥梁提供了有价值的视角,以网络药理学为工具,了解分子结合机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Synergy
Synergy Medicine-Medicine (miscellaneous)
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