DOI: 10.5061/dryad.12jm63zbd
title: Data from: GLP-1 and diabetic nephropathy share key molecular targets

description: 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.
description: Title: # Data from: GLP-1 and diabetic nephropathy share key molecular
 targets 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: Accepted for publication ##
 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. ## 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/](https://creativecommons.org/publicdomain/zero/1.0/) ## Citation Melo, W.G.G., dos Santos Silva, R.L., Santos Soares, I.D., de Sousa Barbosa, B., Cardoso de Brito, F., Argôlo Neto, N.M., & Bezerra, D.O. (2025). GLP-1 and Diabetic Nephropathy Share Key Molecular Targets. Canadian Journal of Physiology and Pharmacology. (Accepted, Manuscript ID cjpp-2025-0146).