Duan Li, Guo Long, Wang Lei, Yin Qiang, Zhang Chen-Meng, Zheng Yu-Guang, Liu E-Hu
1College of Chemistry and Material Science, Hebei Normal University, Shijiazhuang, 050024 China.
2School of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang, 050200 China.
Chin Med. 2018 Dec 4;13:60. doi: 10.1186/s13020-018-0218-5. eCollection 2018.
Traditional Chinese medicines (TCM) have a long history of use because of its potential complementary therapy and fewer adverse effects. However, the toxicity and safety issues of TCM have drawn considerable attention in the past two decades. Metabolomics is an "omics" approach that aims to comprehensively analyze all metabolites in biological samples. In agreement with the holistic concept of TCM, metabolomics has shown great potential in efficacy and toxicity evaluation of TCM. Recently, a large amount of metabolomic researches have been devoted to exploring the mechanism of toxicity induced by TCM, such as hepatotoxicity, nephrotoxicity, and cardiotoxicity. In this paper, the application of metabolomics in toxicity evaluation of bioactive compounds, TCM extracts and TCM prescriptions are reviewed, and the potential problems and further perspectives for application of metabolomics in toxicological studies are also discussed.
中药因其潜在的辅助治疗作用和较少的不良反应而有着悠久的使用历史。然而，在过去二十年中，中药的毒性和安全性问题已引起了相当多的关注。代谢组学是一种“组学”方法，旨在全面分析生物样品中的所有代谢物。与中医的整体观念相一致，代谢组学在中药的功效和毒性评估中已显示出巨大潜力。最近，大量的代谢组学研究致力于探索中药诱导的毒性机制，如肝毒性、肾毒性和心脏毒性。本文综述了代谢组学在生物活性化合物、中药提取物和中药方剂毒性评估中的应用，并讨论了代谢组学在毒理学研究中应用的潜在问题和进一步展望。
