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Network pharmacology suggests biochemical rationale for treating COVID-19 symptoms with a Traditional Chinese Medicine.
Zhang, Deng-Hai; Zhang, Xue; Peng, Bin; Deng, Sheng-Qiong; Wang, Yu-Fang; Yang, Lin; Zhang, Kai-Zheng; Ling, Chang-Quan; Wu, Kun-Lun.
  • Zhang DH; 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. shanghai_zhang@hotmail.com.
  • Zhang X; Post-graduate Training Base in Shanghai Gongli, Post-Graduate College, Ningxia Medical University, 750004, Yinchuan, Ningxia Province, China. shanghai_zhang@hotmail.com.
  • Peng B; 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.
  • Deng SQ; 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.
  • Wang YF; Department of Research Affair Management, Shanghai Pudong Gongli Hospital, Secondary Military Medical University, 200135, Shanghai, China.
  • Yang L; Post-graduate Training Base in Shanghai Gongli, Post-Graduate College, Ningxia Medical University, 750004, Yinchuan, Ningxia Province, China.
  • Zhang KZ; Post-graduate Training Base in Shanghai Gongli, Post-Graduate College, Ningxia Medical University, 750004, Yinchuan, Ningxia Province, China.
  • Ling CQ; The State Key Laboratory of Bioreactor Engineering, New World Institute of Biotechnology, East China University of Science and Technology, 200237, Shanghai, China.
  • Wu KL; The Traditional Chinese Medicines of Changhai Hospital, Secondary Military Medical University, 200433, Shanghai, China.
Commun Biol ; 3(1): 466, 2020 08 18.
Article in English | MEDLINE | ID: covidwho-723561
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Pneumonia, Viral / Drugs, Chinese Herbal / Coronavirus Infections / Pandemics / Betacoronavirus / Medicine, Chinese Traditional Type of study: Observational study / Prognostic study Topics: Traditional medicine Limits: Humans Country/Region as subject: Asia Language: English Journal: Commun Biol Year: 2020 Document Type: Article Affiliation country: S42003-020-01190-y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Pneumonia, Viral / Drugs, Chinese Herbal / Coronavirus Infections / Pandemics / Betacoronavirus / Medicine, Chinese Traditional Type of study: Observational study / Prognostic study Topics: Traditional medicine Limits: Humans Country/Region as subject: Asia Language: English Journal: Commun Biol Year: 2020 Document Type: Article Affiliation country: S42003-020-01190-y