Data from: GLP-1 and diabetic nephropathy share key molecular targets
Data files
Abstract
Glucagon-like peptide-1 (GLP-1) receptor agonists provide renoprotective benefits in diabetes, yet the molecular mechanisms linking GLP-1 signaling to diabetic nephropathy remain poorly defined. This study aimed to identify shared molecular targets between GLP-1 activity and diabetic kidney disease by integrating protein targets of GLP-1 from UniProt with disease-associated genes from GeneCards. The overlapping gene set was analyzed using STRING and Cytoscape with MCODE clustering, followed by Gene Ontology and KEGG enrichment through the clusterProfiler package. Molecular docking with HADDOCK was employed to validate structural interactions between GLP-1 and central network proteins. We identified 17 shared genes, including STAT3, EP300, MAPK1, and INSR, which formed a densely connected cluster enriched in pathways related to insulin response, hypoxia adaptation, apoptosis, and glucose metabolism. Docking analysis demonstrated direct and favorable binding of GLP-1 to STAT3, PIK3R1, and EP300, suggesting non-canonical intracellular mechanisms involving transcriptional regulation and epigenetic modulation. These findings reveal a novel convergence between GLP-1 signaling and diabetic nephropathy pathways, providing mechanistic insights that guide the experimental determination of the underlying molecular interactions. This framework may ultimately contribute to the refinement of renal therapies based on GLP-1 modulation.
Title:
Authors
Wanderson Gabriel Gomes de Melo¹
Regina Lúcia dos Santos Silva¹
Ianahanna Duarte Santos Soares¹
Bruno de Sousa Barbosa¹
Felipe Cardoso de Brito²
Napoleão Martins Argôlo Neto¹
Dayseanny de Oliveira Bezerra²
Affiliations
¹ Universidade Federal do Piauí (UFPI), Teresina, Brazil
² Instituto Federal do Piauí (IFPI), Teresina, Brazil
Associated Manuscript
Journal: Canadian Journal of Physiology and Pharmacology
Manuscript ID: cjpp-2025-0146
Status: Published
DOI: https://doi.org/10.1139/cjpp-2025-0146
Description of Files
csv_and_xlsx/ – Raw and processed data tables (CSV/XLSX) used for network and enrichment analyses.
tsv_and_txt/ – Gene lists, metadata, and formatted text exports from STRING and clusterProfiler outputs.
figures/ – Figures generated for visualization of PPI networks, cluster topology, and enrichment results.
others/ – Supplementary analysis scripts (.R, .py) and notes supporting the dataset.
README.txt – Descriptive metadata and license information for dataset citation and reuse.
data.zip - Whole dataset compressed as zip file
Software and Versions
R 4.3.1 with clusterProfiler, ggplot2, enrichplot, org.Hs.eg.db
Cytoscape 3.10.1 with MCODE plugin
STRING v12.0 (online platform)
HADDOCK 2.4 for molecular docking
License
All materials in this dataset are released under the CC0 1.0 Universal (Public Domain Dedication).
For more details: https://creativecommons.org/publicdomain/zero/1.0/
Citation
Wanderson Gabriel Gomes de Melo, Regina Lúcia dos Santos Silva, Ianahanna Duarte Santos Soares, Bruno de Sousa Barbosa, Felipe Cardoso de Brito, Napoleão Martins Argôlo Neto, and Dayseanny de Oliveira Bezerra. 2026. GLP-1 and diabetic nephropathy share key molecular targets. Canadian Journal of Physiology and Pharmacology. 104: 1-10. https://doi.org/10.1139/cjpp-2025-0146
