Evidence map›Paper›PMID 35934629›Full record

ArticleJournal of integrative medicine2022

Analysis of mechanisms of Shenhuang Granule in treating severe COVID-19 based on network pharmacology and molecular docking.

Xiang-Ru Xu, Wen Zhang, Xin-Xin Wu, Hong-Qiang Yang, Yu-Ting Sun, Yu-Ting Pu, Bei Wang, Wei Peng, Li-Hua Sun, Quan Guo and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of integrative medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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 2 institutions in 1 country.

Xiang-Ru XuDepartment of Emergency, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Wen ZhangDepartment of Emergency, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Xin-Xin WuDepartment of Emergency, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Hong-Qiang YangDepartment of Emergency, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Yu-Ting SunDepartment of Emergency, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Yu-Ting PuDepartment of Emergency, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Bei WangDepartment of Emergency, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Wei PengDepartment of Emergency, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Li-Hua SunDepartment of Emergency, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Quan GuoDepartment of Emergency, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Shuang ZhouAcupuncture and Massage College, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China. Electronic address: zhsh@shutcm.edu.cn.
Bang-Jiang FangDepartment of Emergency, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China; Institute of Critical Care, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China. Electronic address: fangbji@shutcm.edu.cn.
Shanghai University of Traditional Chinese Medicine · CNLonghua Hospital Shanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSevere cases of coronavirus disease 2019 (COVID-19) are expected to have a worse prognosis than mild cases. Shenhuang Granule (SHG) has been shown to be a safe and effective treatment for severe COVID-19 in a previous randomized clinical trial, but the active chemical constituents and underlying mechanisms of action remain unknown. The goal of this study is to explore the chemical basis and mechanisms of SHG in the treatment of severe COVID-19, using network pharmacology.

methodsUltra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry was employed to screen chemical constituents of SHG. Putative therapeutic targets were predicted by searching traditional Chinese medicine system pharmacology database and analysis platform, SwissTargetPrediction, and Gene Expression Omnibus (GEO) databases. The target protein-protein interaction network and enrichment analysis were performed to investigate the hub genes and presumptive mechanisms. Molecular docking and molecular dynamics simulations were used to verify the stability and interaction between the key chemical constituents of SHG and COVID-19 protein targets.

resultsForty-five chemical constituents of SHG were identified along with 131 corresponding therapeutic targets, including hub genes such as HSP90AA1, MMP9, CXCL8, PTGS2, IFNG, DNMT1, TYMS, MDM2, HDAC3 and ABCB1. Functional enrichment analysis indicated that SHG mainly acted on the neuroactive ligand-receptor interaction, calcium signaling pathway and cAMP signaling pathway. Molecular docking showed that the key constituents had a good affinity with the severe acute respiratory syndrome coronavirus 2 protein targets. Molecular dynamics simulations indicated that ginsenoside Rg4 formed a stable protein-ligand complex with helicase.

conclusionMultiple components of SHG regulated multiple targets to inhibit virus invasion and cytokine storm through several signaling pathways; this provides a scientific basis for clinical applications and further experiments.

Indexed as

COVID-19 Drug TreatmentDrugs, Chinese HerbalHumansLigandsMedicine, Chinese TraditionalMolecular Docking SimulationNetwork PharmacologyDrugs, Chinese HerbalLigandsCOVID-19MechanismMolecular dockingMolecular dynamics simulationNetwork pharmacologySARS-CoV-2Shenhuang granule

Identifiers

PMID35934629
PMCPMC9328842
OpenAlexW4288070195

What OpenQuestion holds

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Registered trials

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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.