Evidence map›Paper›PMID 36626429›Full record

ArticleMedicine2022

Mechanism of Datura metel on sinus bradycardia based on network pharmacology and molecular docking.

Feifei Yang, Pihong Liu, Xiaosi Zhang, Zhe Zhang, Hao Lu, Naizhi Geng

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact, top 61% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 4 institutions in 1 country.

Feifei YangHeilongjiang University of Chinese Medicine, Harbin, China.
Pihong LiuFirst Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Xiaosi ZhangBeijing University of Chinese Medicine, Bingjing, China.
Zhe ZhangAffiliated Hospital of North Sichuan Medical College, Nanchong, China.
Hao LuTianshui City Hospital of Traditional Chinese Medicine, Tianshui, China.
Naizhi GengFirst Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.ORCID 0000-0002-9468-2561
First Affiliated Hospital of Heilongjiang University of Chinese Medicine · CNAffiliated Hospital of North Sichuan Medical College · CNBeijing University of Chinese Medicine · CNHeilongjiang University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the mechanism of action of Datura metel in the treatment of sinus bradycardia based on network pharmacology and molecular docking.

methodsThe active ingredients and targets of Datura metel were collected by TCMSP database, and the Cytoscape software was used to map to show the interrelationship. Use 5 databases: GeneCards, PharmGKB, OMIM, DisGeNET, and Drugbank to obtain targets related to sinus bradycardia; establish a protein-to-protein interaction network with the help of the STRING platform; GO and Kyoto Encyclopedia of Genes and Genomes analysis of the selected core targets using the Metascape platform; Finally, the AutoDock platform was used for molecular docking and the results were displayed through Pymol.

results27 kinds of active ingredients of the drug were screened, including 10 kinds of main ingredients; 198 drug targets and 1059 disease targets. There are 54 targets of action in the treatment of sinus bradycardia, of which 19 targets such as AKT1, IL6, TNF, and VEGFA are the core targets of Datura metel in the treatment of sinus bradycardia. Kyoto Encyclopedia of Genes and Genomes obtained 18 results suggesting that AGE-RAGE, hepatitis C, relaxin, and JAK-STAT may be key signaling pathways. Molecular docking shows that most components of the drug have good docking ability with the core target, indicating that the prediction results have certain reliability.

conclusionThis study preliminarily explores the potential active ingredients and possible mechanisms of action of Datura metel in the treatment of sinus bradycardia and provides a basis for in-depth investigation of its medicinal material basis and mechanism of action.

Indexed as

Datura metelDrugs, Chinese HerbalBradycardiaHumansMedicine, Chinese TraditionalMolecular Docking SimulationNetwork PharmacologyReproducibility of ResultsDrugs, Chinese Herbal

Identifiers

PMID36626429
PMCPMC9750526
OpenAlexW4315436062

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LicenceCC BY
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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.