Evidence map›Paper›PMID 34433871›Full record

ArticleScientific reports2021

Reveals of candidate active ingredients in Justicia and its anti-thrombotic action of mechanism based on network pharmacology approach and experimental validation.

Zongchao Hong, Ting Zhang, Ying Zhang, Zhoutao Xie, Yi Lu, Yunfeng Yao, Yanfang Yang, Hezhen Wu, Bo Liu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 17 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

9 authors at 1 institution in 1 country.

Zongchao Hong *Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Ting Zhang *Affiliated Hospital of Hubei University of Chinese Medicine, Hubei Hospital of Traditional Chinese Medicine, Wuhan, China.
Ying ZhangFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Zhoutao XieFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Yi LuFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Yunfeng YaoFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Yanfang YangFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China. yyf0204@hbtcm.edu.cn.
Hezhen WuFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China. hezh_wu@163.com.
Bo LiuFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China. 4860715@qq.com.
Hubei University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thrombotic diseases seriously threaten human life. Justicia, as a common Chinese medicine, is usually used for anti-inflammatory treatment, and further studies have found that it has an inhibitory effect on platelet aggregation. Therefore, it can be inferred that Justicia can be used as a therapeutic drug for thrombosis. This work aims to reveal the pharmacological mechanism of the anti-thrombotic effect of Justicia through network pharmacology combined with wet experimental verification. During the analysis, 461 compound targets were predicted from various databases and 881 thrombus-related targets were collected. Then, herb-compound-target network and protein-protein interaction network of disease and prediction targets were constructed and cluster analysis was applied to further explore the connection between the targets. In addition, Gene Ontology (GO) and pathway (KEGG) enrichment were used to further determine the association between target proteins and diseases. Finally, the expression of hub target proteins of the core component and the anti-thrombotic effect of Justicia's core compounds were verified by experiments. In conclusion, the core bioactive components, especially justicidin D, can reduce thrombosis by regulating F2, MMP9, CXCL12, MET, RAC1, PDE5A, and ABCB1. The combination of network pharmacology and the experimental research strategies proposed in this paper provides a comprehensive method for systematically exploring the therapeutic mechanism of multi-component medicine.

Indexed as

Gene Regulatory NetworksProtein Interaction MapsAnimalsATP Binding Cassette Transporter, Subfamily BBlood PlateletsCells, CulturedChemokine CXCL12Cyclic Nucleotide Phosphodiesterases, Type 5DioxolanesDrug DiscoveryFibrinolytic AgentsHumansJusticiaLignansMaleMatrix Metalloproteinase 9ABCB1 protein, humanATP Binding Cassette Transporter, Subfamily BChemokine CXCL12CXCL12 protein, humanCyclic Nucleotide Phosphodiesterases, Type 5DioxolanesFibrinolytic AgentsjusticidinsLignansMatrix Metalloproteinase 9MET protein, humanMMP9 protein, humanPDE5A protein, humanProto-Oncogene Proteins c-metrac1 GTP-Binding ProteinRAC1 protein, human

Identifiers

PMID34433871
PMCPMC8387432
OpenAlexW3195172902

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.