Chemical composition and pharmacological mechanism of Qingfei Paidu Decoction and Ma Xing Shi Gan Decoction against Coronavirus Disease 2019 (COVID-19): In silico and experimental study.


Journal

Pharmacological research
ISSN: 1096-1186
Titre abrégé: Pharmacol Res
Pays: Netherlands
ID NLM: 8907422

Informations de publication

Date de publication:
07 2020
Historique:
received: 29 03 2020
revised: 05 04 2020
accepted: 07 04 2020
pubmed: 4 5 2020
medline: 1 7 2020
entrez: 4 5 2020
Statut: ppublish

Résumé

The Coronavirus Disease 2019 (COVID-19) pandemic has become a huge threaten to global health, which raise urgent demand of developing efficient therapeutic strategy. The aim of the present study is to dissect the chemical composition and the pharmacological mechanism of Qingfei Paidu Decoction (QFPD), a clinically used Chinese medicine for treating COVID-19 patients in China. Through comprehensive analysis by liquid chromatography coupled with high resolution mass spectrometry (MS), a total of 129 compounds of QFPD were putatively identified. We also constructed molecular networking of mass spectrometry data to classify these compounds into 14 main clusters, in which exhibited specific patterns of flavonoids (45 %), glycosides (15 %), carboxylic acids (10 %), and saponins (5 %). The target network model of QFPD, established by predicting and collecting the targets of identified compounds, indicated a pivotal role of Ma Xing Shi Gan Decoction (MXSG) in the therapeutic efficacy of QFPD. Supportively, through transcriptomic analysis of gene expression after MXSG administration in rat model of LPS-induced pneumonia, the thrombin and Toll-like receptor (TLR) signaling pathway were suggested to be essential pathways for MXSG mediated anti-inflammatory effects. Besides, changes in content of major compounds in MXSG during decoction were found by the chemical analysis. We also validate that one major compound in MXSG, i.e. glycyrrhizic acid, inhibited TLR agonists induced IL-6 production in macrophage. In conclusion, the integration of in silico and experimental results indicated that the therapeutic effects of QFPD against COVID-19 may be attributed to the anti-inflammatory effects of MXSG, which supports the rationality of the compatibility of TCM.

Identifiants

pubmed: 32360484
pii: S1043-6618(20)31128-2
doi: 10.1016/j.phrs.2020.104820
pmc: PMC7194979
pii:
doi:

Substances chimiques

Anti-Inflammatory Agents 0
Drugs, Chinese Herbal 0
Interleukin-6 0
Lipopeptides 0
Lipopolysaccharides 0
Pam(3)CSK(4) peptide 0
Toll-Like Receptors 0
maxingshigan 0
qingfei paidu decoction 0
Glycyrrhizic Acid 6FO62043WK
Thrombin EC 3.4.21.5

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104820

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare there are no known conflicts of interest associated with this publication and there has been no significant financial support for this work that could have influenced its outcome.

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Auteurs

Ruocong Yang (R)

School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Bei San Huan East Road, Beijing, 100029, China.

Hao Liu (H)

Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.

Chen Bai (C)

School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Bei San Huan East Road, Beijing, 100029, China.

Yingchao Wang (Y)

Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.

Xiaohui Zhang (X)

Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.

Rui Guo (R)

Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.

Siying Wu (S)

School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Bei San Huan East Road, Beijing, 100029, China.

Jianxun Wang (J)

School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Bei San Huan East Road, Beijing, 100029, China.

Elaine Leung (E)

Macau University of Science & Technology, Macau, China.

Hang Chang (H)

Lawrence Berkeley National Laboratory, University of California, USA.

Peng Li (P)

School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Bei San Huan East Road, Beijing, 100029, China.

Tiegang Liu (T)

School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Bei San Huan East Road, Beijing, 100029, China. Electronic address: liutg@bucm.edu.cn.

Yi Wang (Y)

Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China. Electronic address: zjuwangyi@zju.edu.cn.

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Classifications MeSH