Evidence map›Paper›PMID 36197265›Full record

ArticleMedicine2022

To discuss the mechanism of colchicine in the treatment of acute cerebral infarction based on network pharmacology.

Qiaoxia Hu, Kena Luo, Puheng Liu, Yifei Mei

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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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

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

4 authors at 1 institution in 2 countries.

Qiaoxia HuDepartment of Geriatrics, the Affiliated Hospital of Medical School of Ningbo University, Institute of Geriatrics of Ningbo University, Ningbo, China.ORCID 0000-0003-2682-0851
Kena Luo
Puheng Liu
Yifei Mei
Ningbo University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the mechanism of action of colchicine in the treatment of acute cerebral infarction (ACI) based on network pharmacology. The Swiss Target Prediction Database and CTD database were used to predict the target information of colchicine. ACI-related targets were retrieved using the GeneCards database, and the target protein interaction network (PPI) and active ingredient-target network were obtained by combining Cytoscape 3.7.1 software and R language. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis and gene function analysis (GO) enrichment analysis were performed using R language to preliminarily explore the multiple pharmacological mechanisms of action of colchicine. There were 200 targets identified by network parameter analysis; 958 ACI targets were identified. Overlapping comparisons allowed the extraction of 143 overlapping targets, and the top 30 targets were screened according to the topological isomerization parameters. Component-target networks were constructed. A PPI of overlapping targets was established to identify key targets. In addition, Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis and GO functional enrichment analysis were performed to explore the multiple mechanisms of action of colchicine in the treatment of ACI. Colchicine treatment of ACI is characterized by multi-component, multi-target and multi-pathway, and can exert complex network regulation through the interaction between different targets, providing a new idea and new basis for further exploration of the mechanism of action of colchicine in the treatment of ACI.

Indexed as

Drugs, Chinese HerbalMedicine, Chinese TraditionalCerebral InfarctionColchicineHumansNetwork PharmacologyColchicineDrugs, Chinese Herbal

Identifiers

PMID36197265
PMCPMC9509177
OpenAlexW4297036265

What OpenQuestion holds

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LicenceCC BY-NC
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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.