Evidence map›Paper›PMID 35433974›Full record

ArticleAnnals of translational medicine2022

Mechanisms of the Jian Pi Tiao Gan Yin in the treatment of simple obesity revealed by network pharmacology.

Minghui Tian, Hua Gao, Hongfei Jiao, Hongbin Tian, Lulu Han, Xiaowan Lin, Gong Cheng, Fenglei Sun, Bo Feng

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 5 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 3 institutions in 1 country.

Minghui TianFirst clinical medical college, Shandong University of Traditional Chinese Medicine, Jinan, China.
Hua GaoECG Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Hongfei JiaoCollege of Health Sciences, Shandong University of Traditional Chinese Medicine, Jinan, China.
Hongbin TianMedicine College of optometry and ophthalmology, Shandong University of Traditional Chinese Medicine, Jinan, China.
Lulu HanInternal Medicine-Neurology, The Fifth People's Hospital of Jinan, Jinan, China.
Xiaowan LinFirst clinical medical college, Shandong University of Traditional Chinese Medicine, Jinan, China.
Gong ChengFirst clinical medical college, Shandong University of Traditional Chinese Medicine, Jinan, China.
Fenglei SunGeneral Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Bo FengDepartment of Geriatrics, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Shandong University of Traditional Chinese Medicine · CNAffiliated Hospital of Shandong University of Traditional Chinese Medicine · CNShandong Provincial QianFoShan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study sought to examine the mechanism of the Jian Pi Tiao Gan Yin in the treatment of obesity by network pharmacology. Methods: The active components and corresponding targets of the Jian Pi Tiao Gan Yin were identified using the traditional Chinese medicine systems pharmacology database and analysis platform, and the obesity-related targets were acquired from the Online Mendelian Inheritance in Man database. The drug and disease targets were also identified. Cytoscape software was used to construct the "active component target" network diagram. The protein-protein interaction network was drawn using the Search Tool for the Retrieval of Interacting Genes/Proteins platform, and the Cytoscape MCODE plugin was used to find clusters for the protein cluster analysis. The gene annotation and analysis were performed with the Metascape database via functional databases, such as the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), and Autodock and PyMOL were used for the molecular docking. Results: The GO analysis identified 244 target genes of the Jian Pi Tiao Gan Yin, 1,378 targets of obesity, and 123 targets of drug and disease. Additionally, 208 biological process items, 38 molecular function items, and 33 cell component items were also identified. The KEGG pathway analysis identified the hypoxia-inducible factor, forkhead box O, cyclic adenosine monophosphate, and vascular endothelial growth factor signaling pathways. The results of the molecular docking showed that the main active components of the Jian Pi Tiao Gan Yin in the treatment of obesity were quercetin, kaempferol, stigmasterol, luteolin, isorhamnetin, β-sitosterol, sapogenin, tanshinone, and formononetin, all of which have been proven to bind to core obesity-related proteins, such as AKT1, interleukin-6 ( Conclusions: The Jian Pi Tiao Gan Yin can be used as a multi-component, multi-target, and multi-channel treatment for obesity.

Indexed as

Jian Pi Tiao Gan Yinmolecular dockingnetwork pharmacologyobesity

Identifiers

PMID35433974
PMCPMC9011268
OpenAlexW4224218995

What OpenQuestion holds

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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.