Evidence map›Paper›PMID 37308949›Full record

ArticleJournal of translational medicine2023

Uncovering the mechanism of resveratrol in the treatment of diabetic kidney disease based on network pharmacology, molecular docking, and experimental validation.

Shengnan Chen, Bo Li, Lei Chen, Hongli Jiang

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
15.7field-weighted citation impact, top 1% 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

61 citing papers in PubMed, 88 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Ubiquitination-Related Diagnostic Biomarkers for Diabetic Nephropathy: Insights From Multiomic Analysis, Drug Docking, and Experimental Validation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  5. Article
  6. Elucidating the therapeutic targets and multi-target mechanisms of salvianolic acid A for diabetic nephropathy.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Shengnan ChenDepartment of Critical Care Nephrology and Blood Purification, The First Affiliated Hospital of Xi'an Jiaotong University, West Yanta Road No.277, Xi'an, 710061, Shaanxi, China.
Bo LiDepartment of Nephrology, Ningxia Medical University Affiliated People's Hospital of Autonomous Region of Ningxia, Yinchuan, 750002, Ningxia, China.
Lei ChenDepartment of Critical Care Nephrology and Blood Purification, The First Affiliated Hospital of Xi'an Jiaotong University, West Yanta Road No.277, Xi'an, 710061, Shaanxi, China.
Hongli JiangDepartment of Critical Care Nephrology and Blood Purification, The First Affiliated Hospital of Xi'an Jiaotong University, West Yanta Road No.277, Xi'an, 710061, Shaanxi, China. j92106@sina.com.ORCID 0000-0001-9262-6112
First Affiliated Hospital of Xi'an Jiaotong University · CNNingxia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic kidney disease (DKD) has been the leading cause of chronic kidney disease in developed countries. Evidence of the benefits of resveratrol (RES) for the treatment of DKD is accumulating. However, comprehensive therapeutic targets and underlying mechanisms through which RES exerts its effects against DKD are limited.

methodsDrug targets of RES were obtained from Drugbank and SwissTargetPrediction Databases. Disease targets of DKD were obtained from DisGeNET, Genecards, and Therapeutic Target Database. Therapeutic targets for RES against DKD were identified by intersecting the drug targets and disease targets. GO functional enrichment analysis, KEGG pathway analysis, and disease association analysis were performed using the DAVID database and visualized by Cytoscape software. Molecular docking validation of the binding capacity between RES and targets was performed by UCSF Chimera software and SwissDock webserver. The high glucose (HG)-induced podocyte injury model, RT-qPCR, and western blot were used to verify the reliability of the effects of RES on target proteins.

resultsAfter the intersection of the 86 drug targets and 566 disease targets, 25 therapeutic targets for RES against DKD were obtained. And the target proteins were classified into 6 functional categories. A total of 11 cellular components terms and 27 diseases, and the top 20 enriched biological processes, molecular functions, and KEGG pathways potentially involved in the RES action against DKD were recorded. Molecular docking studies showed that RES had a strong binding affinity toward PPARA, ESR1, SLC2A1, SHBG, AR, AKR1B1, PPARG, IGF1R, RELA, PIK3CA, MMP9, AKT1, INSR, MMP2, TTR, and CYP2C9 domains. The HG-induced podocyte injury model was successfully constructed and validated by RT-qPCR and western blot. RES treatment was able to reverse the abnormal gene expression of PPARA, SHBG, AKR1B1, PPARG, IGF1R, MMP9, AKT1, and INSR.

conclusionsRES may target PPARA, SHBG, AKR1B1, PPARG, IGF1R, MMP9, AKT1, and INSR domains to act as a therapeutic agent for DKD. These findings comprehensively reveal the potential therapeutic targets for RES against DKD and provide theoretical bases for the clinical application of RES in the treatment of DKD.

Indexed as

Diabetes MellitusDiabetic NephropathiesAldehyde ReductaseHumansMatrix Metalloproteinase 9Molecular Docking SimulationNetwork PharmacologyPPAR gammaReproducibility of ResultsResveratrolAKR1B1 protein, humanAldehyde ReductaseMatrix Metalloproteinase 9PPAR gammaResveratrolDiabetic kidney diseaseExperimental validationMolecular dockingNetwork pharmacologyResveratrol

Identifiers

PMID37308949
PMCPMC10258995
OpenAlexW4380373884

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.