Evidence mapPaperPMID 36670362Full record

ArticleMolecular medicine (Cambridge, Mass.)2023

Exploring the mechanism by which aqueous Gynura divaricata inhibits diabetic foot based on network pharmacology, molecular docking and experimental verification.

Yu Sun, Cailiang Gao, Huiting Liu, Xue Liu, Tun Yue

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2023. 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
1.2field-weighted citation impact, top 21% 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, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Network Pharmacology and Validation of the Combinative Therapy ofCombinatorial chemistry & high throughput screening · 2025
    Article
  5. Review
  6. Review
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

5 authors at 1 institution in 1 country.

Yu SunChongqing University Three Gorges Hospital, No. 165 Xincheng Road, Wanzhou District, 404000, Chongqing, People's Republic of China.
Cailiang GaoChongqing University Three Gorges Hospital, No. 165 Xincheng Road, Wanzhou District, 404000, Chongqing, People's Republic of China.
Huiting LiuChongqing University Three Gorges Hospital, No. 165 Xincheng Road, Wanzhou District, 404000, Chongqing, People's Republic of China.
Xue LiuChongqing University Three Gorges Hospital, No. 165 Xincheng Road, Wanzhou District, 404000, Chongqing, People's Republic of China.
Tun YueChongqing University Three Gorges Hospital, No. 165 Xincheng Road, Wanzhou District, 404000, Chongqing, People's Republic of China. 397875315@qq.com.ORCID 0000-0003-1400-489X
Chongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo predict and validate the potential mechanism by which Gynura divaricata (GD) functions in the treatment of diabetic foot (DF).

methodsThe main chemical constituents of GD were identified by reviewing the literature, the traditional Chinese medicine database platform (TCMIP) and the BATMAN-TCM platform. DF disease targets were identified with the GeneCards database, and the compound-target network was constructed by using the intersection of drugs and disease. The STRING platform was used to construct the protein-protein interaction (PPI) network, and Cytoscape 3.7.2 software was used to visualize the results. Moreover, the Metascape database was used for Gene Ontology (GO) enrichment analyses and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Molecular docking of the active ingredients of GD and core protein targets of DF was performed using AutoDock software. Finally, the predicted results were preliminarily verified with experiments.

resultsA total of 140 potential targets of GD were identified and associated with DF. According to the PPI network analysis, GD accelerated DF wound healing, and the mechanism may be related to proteins such as AKT1, TP53, IL6, CASP3, TNF, and VEGFA. GO and KEGG enrichment analyses indicated that GD may play a role in the treatment of diabetic foot by affecting various signaling pathways. Molecular docking results showed that the proteins AKT1, TP53, IL6, CASP3, TNF, and VEGFA were closely associated with the components of GD. The animal experiments showed that GD reduced the levels of IL-6 and TNF-α and increased the mRNA and protein expression of VEGFA in rats with DF.

conclusionsGD regulates multiple targets and multiple pathways to promote wound healing in DF.

Indexed as

Diabetes MellitusDiabetic FootAnimalsCaspase 3Interleukin-6Molecular Docking SimulationNetwork PharmacologyRatsCaspase 3Interleukin-6Diabetic footGynura divaricataMolecular dockingNetwork pharmacology

Identifiers

PMID36670362
PMCPMC9862864
OpenAlexW4317614462

What Socratic 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 Socratic graph.