Evidence map›Paper›PMID 33513419›Full record

ArticleJournal of ethnopharmacology2021

Potential effect of Maxing Shigan decoction against coronavirus disease 2019 (COVID-19) revealed by network pharmacology and experimental verification.

Yuan Li, Fuhao Chu, Ping Li, Nadia Johnson, Tao Li, Yan Wang, Rongxian An, Dantong Wu, Jiena Chen, Zeqi Su and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of ethnopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
10.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
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  6. Current issues in molecular biology · 2026
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  18. Frontiers in pharmacology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Yuan LiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Liangxiang University Town, Fangshan District, Beijing, 102488, China; Dongzhimen Hospital, Beijing University of Chinese Medicine, Dongcheng District, Hai Yun Cang on the 5th, Beijing, 100700, China.
Fuhao ChuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Liangxiang University Town, Fangshan District, Beijing, 102488, China; Institute of Regulatory Science for Traditional Chinese Medicine, Beijing University of Chinese Medicine, Liangxiang University Town, Fangshan District, Beijing, 102488, China.
Ping LiDongzhimen Hospital, Beijing University of Chinese Medicine, Dongcheng District, Hai Yun Cang on the 5th, Beijing, 100700, China.
Nadia JohnsonInternational School, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Chaoyang District, Beijing, 100029, China.
Tao LiDongzhimen Hospital, Beijing University of Chinese Medicine, Dongcheng District, Hai Yun Cang on the 5th, Beijing, 100700, China.
Yan WangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Liangxiang University Town, Fangshan District, Beijing, 102488, China.
Rongxian AnDongzhimen Hospital, Beijing University of Chinese Medicine, Dongcheng District, Hai Yun Cang on the 5th, Beijing, 100700, China.
Dantong WuDongzhimen Hospital, Beijing University of Chinese Medicine, Dongcheng District, Hai Yun Cang on the 5th, Beijing, 100700, China.
Jiena ChenSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Liangxiang University Town, Fangshan District, Beijing, 102488, China.
Zeqi SuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Liangxiang University Town, Fangshan District, Beijing, 102488, China.
Xiaohong GuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Liangxiang University Town, Fangshan District, Beijing, 102488, China. Electronic address: guxh1003@126.com.
Xia DingSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Liangxiang University Town, Fangshan District, Beijing, 102488, China. Electronic address: dingx@bucm.edu.cn.
Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ethnopharmacological relevanceSince the occurrence of coronavirus disease 2019 (COVID-19) in Wuhan, China in December 2019, COVID-19 has been quickly spreading out to other provinces and countries. Considering that traditional Chinese medicine (TCM) played an important role during outbreak of SARS and H1N1, finding potential alternative approaches for COVID-19 treatment is necessary before vaccines are developed. According to previous studies, Maxing Shigan decoction (MXSGD) present a prominent antivirus effect and is often used to treat pulmonary diseases. Furthermore, we collected 115 open prescriptions for COVID-19 therapy from the National Health Commission, State Administration of TCM and other organizations, MXSGD was identified as the key formula. However, the underlying molecular mechanism of MXSGD against COVID-19 is still unknown. AIM OF THE STUDY: The present study aimed to evaluate the therapeutic mechanism of MXSGD against COVID-19 by network pharmacology and in vitro experiment verification, and screen the potential components which could bind to key targets of COVID-19 via molecular docking method. MATERIALS AND

methodsMultiple open-source databases related to TCM or compounds were employed to screen active ingredients and potential targets of MXSGD. Network pharmacology analysis methods were used to initially predict the antivirus and anti-inflammatory effects of MXSGD against COVID-19. IL-6 induced rat lung epithelial type Ⅱ cells (RLE-6TN) damage was established to explore the anti-inflammatory damage activity of MXSGD. After MXSGD intervention, the expression level of related proteins and their phosphorylation in the IL-6 mediated JAK-STAT signaling pathway were detected by Western blot. Molecular docking technique was used to further identify the potential substances which could bind to three key targets (ACE2, Mpro and RdRp) of COVID-19.

resultsIn this study, 105 active ingredients and 1025 candidate targets were selected for MXSGD, 83 overlapping targets related to MXSGD and COVID-19 were identified, and the protein-protein interaction (PPI) network of MXSGD against COVID-19 was constructed. According to the results of biological enrichment analysis, 63 significant KEGG pathways were enriched, and most of them were related to signal transduction, immune system and virus infection. Furthermore, according the relationship between signal pathways, we confirmed MXSGD could effectively inhibit IL-6 mediated JAK-STAT signal pathway related protein expression level, decreased the protein expression levels of p-JAK2, p-STAT3, Bax and Caspase 3, and increased the protein expression level of Bcl-2, thereby inhibiting RLE-6TN cells damage. In addition, according to the LibDock scores screening results, the components with strong potential affinity (Top 10) with ACE2, Mpro and RdRp are mainly from glycyrrhiza uralensis (Chinese name: Gancao) and semen armeniacae amarum (Chinese name: Kuxingren). Among them, amygdalin was selected as the optimal candidate component bind to all three key targets, and euchrenone, glycyrrhizin, and glycyrol also exhibited superior affinity interactions with ACE2, Mpro and RdRp, respectively.

conclusionThis work explained the positive characteristics of multi-component, multi-target, and multi-approach intervention with MXSGD in combating COVID-19, and preliminary revealed the antiviral and anti-inflammatory pharmacodynamic substances and mechanism of MXSGD, which might provide insights into the vital role of TCM in the prevention and treatment of COVID-19.

Indexed as

COVID-19 Drug TreatmentAlveolar Epithelial CellsAngiotensin-Converting Enzyme 2AnimalsAnti-Inflammatory AgentsAntiviral AgentsCell LineComputational BiologyCoronavirus 3C ProteasesCOVID-19Drug Evaluation, PreclinicalDrugs, Chinese HerbalHumansInterleukin-6Janus KinasesMedicine, Chinese TraditionalAce2 protein, ratAngiotensin-Converting Enzyme 2Anti-Inflammatory AgentsAntiviral AgentsCoronavirus 3C ProteasesDrugs, Chinese HerbalInterleukin-6Janus KinasesmaxingshiganRNA-Dependent RNA PolymeraseSTAT Transcription FactorsAnti-inflammatoryAntiviralIn vitro experimentMaxing Shigan decoctionNovel coronavirusTraditional Chinese medicine

Identifiers

PMID33513419
PMCPMC7835541
OpenAlexW3121804669

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.