Wang Ming, Chen Lin, Liu Dan, Chen Hua, Tang Dan-Dan, Zhao Ying-Yong
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, No. 229 Taibai North Road, Xi'an, Shaanxi 710069, China.
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, No. 229 Taibai North Road, Xi'an, Shaanxi 710069, China.
Chem Biol Interact. 2017 Aug 1;273:133-141. doi: 10.1016/j.cbi.2017.06.011. Epub 2017 Jun 13.
Traditional Chinese medicine (TCM) has attracted increasing interest throughout the world because of its potential complementary therapy and an abundant source for new drug discovery. TCM possesses the significant bioactivity of the use of multi-component drugs and can act multiple targets by multiple components. Metabolomics is a holistic investigation of numerous metabolite responses of complex biology systems to pathological stimuli and drug treatments based on the global metabolic profiles in complex biological matrixes. It provides variation of systematic metabolic networks for characterizing pathological states in animal models and clinical studies. In agreement with the holistic thinking of TCM, metabolomics has shown potential in bioactivity evaluation and action mechanism of TCM as well as pharmaceutical research and development. Recently, different metabolomic technologies have been applied to the modernization of TCM and treatments of different diseases such as cardiovascular disease, kidney disease, liver disease and metabolic disease. Based on the reported literature, this paper introduced the application of metabolomics in efficacy evaluation of TCM and its biochemical action mechanism.
传统中医(TCM)因其潜在的辅助治疗作用以及作为新药发现的丰富来源,已在全球引起越来越多的关注。中药具有使用多成分药物的显著生物活性,并且可以通过多种成分作用于多个靶点。代谢组学是基于复杂生物基质中的全局代谢谱,对复杂生物系统对病理刺激和药物治疗的众多代谢物反应进行的全面研究。它为表征动物模型和临床研究中的病理状态提供了系统代谢网络的变化。与中医的整体思维一致,代谢组学在中药生物活性评价、作用机制以及药物研发方面已显示出潜力。最近,不同的代谢组学技术已应用于中药现代化以及心血管疾病、肾脏疾病、肝脏疾病和代谢疾病等不同疾病的治疗。基于已发表的文献,本文介绍了代谢组学在中药疗效评价及其生化作用机制方面的应用。