Wang Mengmeng, Yin Fengting, Kong Ling, Yang Le, Sun Hui, Sun Ye, Yan Guangli, Han Ying, Wang Xijun
State Key Laboratory of Integration and Innovation of Classical Formula and Modern Chinese Medicines, National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin, 150040, China.
State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China.
Chin Med. 2024 Mar 13;19(1):47. doi: 10.1186/s13020-024-00917-x.
As an important part of medical science, Traditional Chinese Medicine (TCM) attracts much public attention due to its multi-target and multi-pathway characteristics in treating diseases. However, the limitations of traditional research methods pose a dilemma for the evaluation of clinical efficacy, the discovery of active ingredients and the elucidation of the mechanism of action. Therefore, innovative approaches that are in line with the characteristics of TCM theory and clinical practice are urgently needed. Chinmendomics, a newly emerging strategy for evaluating the efficacy of TCM, is proposed. This strategy combines systems biology, serum pharmacochemistry of TCM and bioinformatics to evaluate the efficacy of TCM with a holistic view by accurately identifying syndrome biomarkers and monitoring their complex metabolic processes intervened by TCM, and finding the agents associated with the metabolic course of pharmacodynamic biomarkers by constructing a bioinformatics-based correlation network model to further reveal the interaction between agents and pharmacodynamic targets. In this article, we review the recent progress of Chinmedomics to promote its application in the modernisation and internationalisation of TCM.
作为医学科学的重要组成部分,中医药因其在疾病治疗中的多靶点、多途径特点而备受公众关注。然而,传统研究方法的局限性给临床疗效评估、活性成分发现及作用机制阐释带来了困境。因此,迫切需要符合中医理论和临床实践特点的创新方法。中药组学应运而生,它是一种用于评估中药疗效的新兴策略。该策略将系统生物学、中药血清药物化学和生物信息学相结合,通过准确识别证候生物标志物并监测其受中药干预的复杂代谢过程,从整体角度评估中药疗效,并通过构建基于生物信息学的关联网络模型找到与药效学生物标志物代谢过程相关的药物,以进一步揭示药物与药效学靶点之间的相互作用。在本文中,我们综述了中药组学的最新进展,以促进其在中医药现代化和国际化中的应用。