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Updated: Jan 29, 2026

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease
Published on: May 10, 2024
GLP-1 and diabetic nephropathy share key molecular targets
Wanderson Gabriel Gomes de Melo1, Regina Lúcia Dos Santos Silva1, Ianahanna Duarte Santos Soares1
1Núcleo Integrado de Morfologia e Pesquisa com Células Tronco, Programa de Pós-Graduação em Tecnologias Aplicadas a Animais de Interesse Regional, Universidade Federal do Piauí, Teresina, Piauí, Brazil.
None:
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 GO 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 noncanonical 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.
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