Evidence map›Paper›PMID 33146673›Full record

ArticleBioscience reports2021

Network pharmacology for the identification of phytochemicals in traditional Chinese medicine for COVID-19 that may regulate interleukin-6.

Wen-Hao Niu, Feng Wu, Wen-Yue Cao, Zong-Gui Wu, Yu-Chieh Chao, Chun Liang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
13.1field-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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 citations in OpenAlex.

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  13. Future science OA · 2023
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  14. Bioactive compounds from Huashi Baidu decoction possess both antiviral and anti-inflammatory effects against COVID-19.Proceedings of the National Academy of Sciences of the United States of America · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Wen-Hao NiuDepartment of Cardiology, Shanghai Changzheng Hospital, Naval Medical University, Shanghai 200001, China.
Feng WuDepartment of Cardiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Affiliated hospital of Shanghai University of Traditional Chinese Medicine, Shanghai 200080, China.
Wen-Yue CaoDepartment of Ultrasound, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China.
Zong-Gui WuDepartment of Cardiology, Shanghai Changzheng Hospital, Naval Medical University, Shanghai 200001, China.
Yu-Chieh ChaoDepartment of Anesthesiology, Shanghai Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200120, China.
Chun LiangDepartment of Cardiology, Shanghai Changzheng Hospital, Naval Medical University, Shanghai 200001, China.
Second Military Medical University · CNRenji Hospital · CNShanghai Chest Hospital · CNShanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective´Three formulas and three medicines,' namely, Jinhua Qinggan Granule, Lianhua Qingwen Capsule, Xuebijing Injection, Qingfei Paidu Decoction, HuaShi BaiDu Formula, and XuanFei BaiDu Granule, were proven to be effective for coronavirus disease 2019 (COVID-19) treatment. The present study aimed to identify the active chemical constituents of this traditional Chinese medicine (TCM) and investigate their mechanisms through interleukin-6 (IL-6) integrating network pharmacological approaches.

methodsWe collected the compounds from all herbal ingredients of the previously mentioned TCM, but those that could down-regulate IL-6 were screened through the network pharmacology approach. Then, we modeled molecular docking to evaluate the binding affinity between compounds and IL-6. Furthermore, we analyzed the biological processes and pathways of compounds. Finally, we screened out the core genes of compounds through the construction of the protein-protein interaction network and the excavation of gene clusters of compounds.

resultsThe network pharmacology research showed that TCM could decrease IL-6 using several compounds, such as quercetin, ursolic acid, luteolin, and rutin. Molecular docking results showed that the molecular binding affinity with IL-6 of all compounds except γ-aminobutyric acid was < -5.0 kJ/mol, indicating the potential of numerous active compounds in TCM to directly interact with IL-6, leading to an anti-inflammation effect. Finally, Cytoscape 3.7.2 was used to topologize the biological processes and pathways of compounds, revealing potential mechanisms for COVID-19 treatment.

conclusionThese results indicated the positive effect of TCM on the prevention and rehabilitation of COVID-19 in at-risk people. Quercetin, ursolic acid, luteolin, and rutin could inhibit COVID-19 by down-regulating IL-6.

Indexed as

COVID-19 Drug TreatmentAnti-Inflammatory AgentsCOVID-19Drug DiscoveryDrugs, Chinese HerbalHumansInterleukin-6Interleukin-6 InhibitorsLuteolinMedicine, Chinese TraditionalMolecular Docking SimulationProtein Interaction MapsQuercetinRutinTriterpenesUrsolic AcidAnti-Inflammatory AgentsDrugs, Chinese HerbalInterleukin-6Interleukin-6 InhibitorsLuteolinQuercetinRutinTriterpenesUrsolic AcidCoronavirus disease 2019Interleukin-6Traditional Chinese medicine

Identifiers

PMID33146673
PMCPMC7809559
OpenAlexW3097318633

What OpenQuestion holds

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LicenceCC BY
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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.