Evidence map›Paper›PMID 35769674›Full record

ArticleBioMed research international2022

Biomedical Analytics of Four Chinese Medicinals in Treatment of Insomnia Based on Network Pharmacology.

Qiyue Deng, Libing Huang, Fanjun Yu, Jiahui Lin, Lijuan Hu, Jing Zhao, Litao Pan, Yu Kui, Shiheng Wu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 66% 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

3 citing papers in PubMed, 2 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 5 institutions in 2 countries.

Qiyue DengGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-0100-8827
Libing HuangGuangdong Kanghe Research Center of Chronic Disease, Guangzhou, China.
Fanjun YuGuangzhou University of Chinese Medicine, Guangzhou, China.
Jiahui LinGuangzhou University of Chinese Medicine, Guangzhou, China.
Lijuan HuZhejiang Chinese Medical University, Hangzhou, China.ORCID https://orcid.org/0000-0002-6800-6252
Jing ZhaoState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Science, University of Macau, Macau, China.
Litao PanThe First Affiliated Hospital of Shenzhen University, Shenzhen, China.ORCID https://orcid.org/0000-0003-2690-7391
Yu KuiThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0001-7309-5547
Shiheng WuThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0003-4375-1501
Guangzhou University of Chinese Medicine · CNShenzhen Chronic Disease Prevention Center · CNShenzhen University · CNUniversity of Macau · MOZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Our aim is to recommend the appropriate Chinese medicinals in clinical treatment of insomnia, which are Method: Based on network pharmacology, the active molecules and mechanism of these four Chinese medicinals treating insomnia were sought and analyzed. The components of the four Chinese medicinals with potential activity were collected and screened. Moreover, the recollected human disease-related targets were correlated through Cytoscape 3.8.2, and the network diagram of drug component disease targets was drawn. Based on the human protein-protein interaction database, the above network diagram was imported to establish the protein-protein interaction (PPI) and composite target pathway (C-T-P) networks. After selecting important information, the pathway analysis was carried out to show the biological process, core target, and core pathway of insomnia treatment. Result: In this study, 44 active components and 81 drug-disease common targets were obtained; 307 key targets were found in the PPI network; a core cluster composed of 14 nodes and 50 functional associations was found. Conclusion: In summary, the four Chinese medicinals' effective components and main mechanism of in the treatment of insomnia may be related to their participation in the regulation of endocrine. Compared with the existing network pharmacological analysis results of

Indexed as

Drugs, Chinese HerbalSleep Initiation and Maintenance DisordersChinaHumansHypothalamo-Hypophyseal SystemMedicine, Chinese TraditionalMolecular Docking SimulationNetwork PharmacologyPituitary-Adrenal SystemDrugs, Chinese Herbal

Identifiers

PMID35769674
PMCPMC9236802
OpenAlexW4281845269

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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.