Evidence map›Paper›PMID 33746604›Full record

Observational studyInternational journal of medical sciences2021

A network pharmacology based approach for predicting active ingredients and potential mechanism of Lianhuaqingwen capsule in treating COVID-19.

Xiaobo Zhang, Rui Gao, Zubing Zhou, Xuehua Tang, Jingjing Lin, Long Wang, Xin Zhou, Tao Shen

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in International journal of medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 55 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

8 authors at 1 institution in 1 country.

Xiaobo ZhangSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Rui GaoSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Zubing ZhouSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xuehua TangAcademic Department, Zhuhai Ebang Pharmaceutical Co., Ltd. Zhuhai, China.
Jingjing LinSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Long WangSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xin ZhouSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Tao ShenSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of severe respiratory disease caused by SARS-CoV-2 has led to millions of infections and raised global health concerns. Lianhuaqingwen capsule (LHQW-C), a traditional Chinese medicine (TCM) formula widely used for respiratory diseases, shows therapeutic efficacy in the application of coronavirus disease 2019 (COVID-19). However, the active ingredients, drug targets, and the therapeutic mechanisms of LHQW-C in treating COVID-19 are poorly understood. In this study, an integrating network pharmacology approach including pharmacokinetic screening, target prediction (targets of the host and targets from the SARS-CoV-2), network analysis, GO enrichment analysis, KEGG pathway enrichment analysis, and virtual docking were conducted. Finally, 158 active ingredients in LHQW-C were screen out, and 49 targets were predicted. GO function analysis revealed that these targets were associated with inflammatory response, oxidative stress reaction, and other biological processes. KEGG enrichment analysis indicated that the targets of LHQW-C were highly enriched to several immune response-related and inflammation-related pathways, including the IL-17 signaling pathway, TNF signaling pathway, NF-kappa B signaling pathway, and Th17 cell differentiation. Moreover, four key components (quercetin, luteolin, wogonin, and kaempferol) showed a high binding affinity with SARS-CoV-2 3-chymotrypsin-like protease (3CL pro). The study indicates that some anti-inflammatory ingredients in LHQW-C probably modulate the inflammatory response in severely ill patients with COVID-19.

Indexed as

COVID-19 Drug TreatmentDrugs, Chinese HerbalHumansMolecular Docking SimulationPhytotherapyProtein Interaction MapsRetrospective StudiesDrugs, Chinese Herballianhuaqingwen3CL proCOVID-19Lianhuaqingwen capsulenetwork pharmacologySARS-CoV-2

Identifiers

PMID33746604
PMCPMC7976588
OpenAlexW3139200185

What OpenQuestion holds

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LicenceCC BY
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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.