Li Lin, Wu Yuzheng, Wang Jiabao, Yan Huimin, Lu Jia, Wang Yu, Zhang Boli, Zhang Junhua, Yang Jian, Wang Xiaoying, Zhang Min, Li Yue, Miao Lin, Zhang Han
State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Key Laboratory of Pharmacology of Traditional Chinese Medical Formulae, Ministry of Education, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Engineering (Beijing). 2022 Dec;19:139-152. doi: 10.1016/j.eng.2021.08.020. Epub 2021 Oct 28.
Traditional Chinese medicine (TCM) has been successfully applied worldwide in the treatment of coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the pharmacological mechanisms underlying this success remain unclear. Hence, the aim of this review is to combine pharmacological assays based on the theory of TCM in order to elucidate the potential signaling pathways, targets, active compounds, and formulas of herbs that are involved in the TCM treatment of COVID-19, which exhibits combatting viral infections, immune regulation, and amelioration of lung injury and fibrosis. Extensive reports on target screening are elucidated using virtual prediction via docking analysis or network pharmacology based on existing data. The results of these reports indicate that an intricate regulatory mechanism is involved in the pathogenesis of COVID-19. Therefore, more pharmacological research on the natural herbs used in TCM should be conducted in order to determine the association between TCM and COVID-19 and account for the observed therapeutic effects of TCM against COVID-19.
传统中医（TCM）已在全球范围内成功应用于治疗由严重急性呼吸综合征冠状病毒2（SARS-CoV-2）引起的2019冠状病毒病（COVID-19）。然而，这一成功背后的药理机制仍不清楚。因此，本综述的目的是结合基于中医理论的药理分析，以阐明参与中医治疗COVID-19的潜在信号通路、靶点、活性化合物和草药配方，这些表现为对抗病毒感染、免疫调节以及改善肺损伤和纤维化。通过对接分析或基于现有数据的网络药理学进行虚拟预测，阐明了大量关于靶点筛选的报告。这些报告的结果表明，COVID-19的发病机制涉及复杂的调节机制。因此，应该对中医使用的天然草药进行更多的药理研究，以确定中医与COVID-19之间的关联，并解释所观察到的中医对COVID-19的治疗效果。
