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网络药理学为用中药治疗 COVID-19 症状提供了生化原理。

Network pharmacology suggests biochemical rationale for treating COVID-19 symptoms with a Traditional Chinese Medicine.

机构信息

Shanghai Health Commission Key Lab of Artificial Intelligence (AI)-Based Management of Inflammation and Chronic Diseases, Sino-French Cooperative Central Lab, Shanghai Pudong Gongli Hospital, Secondary Military Medical University, 200135, Shanghai, China.

Post-graduate Training Base in Shanghai Gongli, Post-Graduate College, Ningxia Medical University, 750004, Yinchuan, Ningxia Province, China.

出版信息

Commun Biol. 2020 Aug 18;3(1):466. doi: 10.1038/s42003-020-01190-y.

Abstract

Chinese herbal formulas including the lung-cleaning and toxicity-excluding (LCTE) soup have played an important role in treating the ongoing COVID-19 pandemic (caused by SARS-CoV-2) in China. Applying LCTE outside of China may prove challenging due to the unfamiliar rationale behind its application in terms of Traditional Chinese Medicine. To overcome this barrier, a biochemical understanding of the clinical effects of LCTE is needed. Here, we explore the chemical compounds present in the reported LCTE ingredients and the proteins targeted by these compounds via a network pharmacology analysis. Our results indicate that LCTE contains compounds with the potential to directly inhibit SARS-CoV-2 and inflammation, and that the compound targets proteins highly related to COVID-19's main symptoms. We predict the general effect of LCTE is to affect the pathways involved in viral and other microbial infections, inflammation/cytokine response, and lung diseases. Our work provides a biochemical basis for using LCTE to treat COVID-19 and its main symptoms.

摘要

包括清肺排毒汤在内的中草药方剂在中国应对当前的 COVID-19 大流行(由 SARS-CoV-2 引起)中发挥了重要作用。由于清肺排毒汤在中医应用背后的原理不熟悉,因此在国外应用可能具有挑战性。为了克服这一障碍,需要从生化角度了解清肺排毒汤的临床效果。在这里,我们通过网络药理学分析探讨了报告的清肺排毒汤成分中的化学化合物以及这些化合物靶向的蛋白质。我们的结果表明,清肺排毒汤含有具有直接抑制 SARS-CoV-2 和炎症潜力的化合物,并且该化合物靶向与 COVID-19 的主要症状高度相关的蛋白质。我们预测,清肺排毒汤的一般作用是影响涉及病毒和其他微生物感染、炎症/细胞因子反应和肺部疾病的途径。我们的工作为使用清肺排毒汤治疗 COVID-19 及其主要症状提供了生化基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efad/7434773/9833ae906c5a/42003_2020_1190_Fig1_HTML.jpg

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