Analysis on herbal medicines utilized for treatment of COVID-19

As coronavirus disease 2019 (COVID-19) pandemic poses a substantial global public health threat, traditional Chinese medicine (TCM) was used in 91.50% of the COVID-19 cases in China, showing encouraging results in improving symptom management and reducing the deterioration, mortality, and recurrence...

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Main Authors: Lu Luo, Jingwen Jiang, Cheng Wang, Martin Fitzgerald, Weifeng Hu, Yumei Zhou, Hui Zhang, Shilin Chen
Format: Article
Language:English
Published: Elsevier 2020-07-01
Series:Acta Pharmaceutica Sinica B
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S221138352030589X
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spelling doaj-7c45b04eda404025b982ada494e9f5e02020-11-25T03:37:53ZengElsevierActa Pharmaceutica Sinica B2211-38352020-07-0110711921204Analysis on herbal medicines utilized for treatment of COVID-19Lu Luo0Jingwen Jiang1Cheng Wang2Martin Fitzgerald3Weifeng Hu4Yumei Zhou5Hui Zhang6Shilin Chen7Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, ChinaWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041 ChinaInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100006, ChinaAshdale Clinic, Cork T12 T2VK, IrelandThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310000, ChinaThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 518033, ChinaAkupunktur Akademiet, Aabyhoej 8230, DenmarkInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China; Corresponding author. Tel: +86 10 64032658, fax: +86 10 64013996.As coronavirus disease 2019 (COVID-19) pandemic poses a substantial global public health threat, traditional Chinese medicine (TCM) was used in 91.50% of the COVID-19 cases in China, showing encouraging results in improving symptom management and reducing the deterioration, mortality, and recurrence rates. A total of 166 modified herbal formulae consisting of 179 single herbal medicines were collected for treating COVID-19 in China. Glycyrrhizae Radix et Rhizome, Scutellariae Radix, and Armeniacae Semen Amarum are the most frequently utilized in clinics, most of which are antipyretic (47, 26.26%), expectorant and cough-suppressing (22, 12.29%), and dampness-resolving (21, 11.73%) from traditional descriptions. A total of 1212 chemical components containing β-sitosterol, stigmasterol, and quercetin were primarily selected. Additionally, using complex system entropy and unsupervised hierarchical clustering, 8 core herbal combinations and 10 new formulae emerged as potentially useful candidates for COVID-19. Finally, following scaffold analysis, self-organizing mapping (SOM) and cluster analysis, 12 clusters of molecules yielded 8 pharmacophore families of structures that were further screened as pharmacological targets in human metabolic pathways for inhibiting coronavirus. This article aims to make more easily accessible and share historical herbal knowledge used in contemporary treatments in a modern manner to assist researchers contain the global spread of COVID-19.http://www.sciencedirect.com/science/article/pii/S221138352030589XCOVID-19Traditional Chinese medicine (TCM)Herbal medicinesClustering analysisScaffold analysis
collection DOAJ
language English
format Article
sources DOAJ
author Lu Luo
Jingwen Jiang
Cheng Wang
Martin Fitzgerald
Weifeng Hu
Yumei Zhou
Hui Zhang
Shilin Chen
spellingShingle Lu Luo
Jingwen Jiang
Cheng Wang
Martin Fitzgerald
Weifeng Hu
Yumei Zhou
Hui Zhang
Shilin Chen
Analysis on herbal medicines utilized for treatment of COVID-19
Acta Pharmaceutica Sinica B
COVID-19
Traditional Chinese medicine (TCM)
Herbal medicines
Clustering analysis
Scaffold analysis
author_facet Lu Luo
Jingwen Jiang
Cheng Wang
Martin Fitzgerald
Weifeng Hu
Yumei Zhou
Hui Zhang
Shilin Chen
author_sort Lu Luo
title Analysis on herbal medicines utilized for treatment of COVID-19
title_short Analysis on herbal medicines utilized for treatment of COVID-19
title_full Analysis on herbal medicines utilized for treatment of COVID-19
title_fullStr Analysis on herbal medicines utilized for treatment of COVID-19
title_full_unstemmed Analysis on herbal medicines utilized for treatment of COVID-19
title_sort analysis on herbal medicines utilized for treatment of covid-19
publisher Elsevier
series Acta Pharmaceutica Sinica B
issn 2211-3835
publishDate 2020-07-01
description As coronavirus disease 2019 (COVID-19) pandemic poses a substantial global public health threat, traditional Chinese medicine (TCM) was used in 91.50% of the COVID-19 cases in China, showing encouraging results in improving symptom management and reducing the deterioration, mortality, and recurrence rates. A total of 166 modified herbal formulae consisting of 179 single herbal medicines were collected for treating COVID-19 in China. Glycyrrhizae Radix et Rhizome, Scutellariae Radix, and Armeniacae Semen Amarum are the most frequently utilized in clinics, most of which are antipyretic (47, 26.26%), expectorant and cough-suppressing (22, 12.29%), and dampness-resolving (21, 11.73%) from traditional descriptions. A total of 1212 chemical components containing β-sitosterol, stigmasterol, and quercetin were primarily selected. Additionally, using complex system entropy and unsupervised hierarchical clustering, 8 core herbal combinations and 10 new formulae emerged as potentially useful candidates for COVID-19. Finally, following scaffold analysis, self-organizing mapping (SOM) and cluster analysis, 12 clusters of molecules yielded 8 pharmacophore families of structures that were further screened as pharmacological targets in human metabolic pathways for inhibiting coronavirus. This article aims to make more easily accessible and share historical herbal knowledge used in contemporary treatments in a modern manner to assist researchers contain the global spread of COVID-19.
topic COVID-19
Traditional Chinese medicine (TCM)
Herbal medicines
Clustering analysis
Scaffold analysis
url http://www.sciencedirect.com/science/article/pii/S221138352030589X
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