ArticleEndocrine, metabolic & immune disorders drug targets2026
Study on the Potential Mechanism of Bisphenol A-induced Human Diabetic Nephropathy Based on Network Toxicology and Molecular Docking.
Article in Endocrine, metabolic & immune disorders drug targets, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThis study aims to systematically elucidate the potential molecular targets and core signaling pathways underlying bisphenol A (BPA)-induced diabetic nephropathy (DN) through the integration of network toxicology and molecular docking approaches.
methodsUsing multiple public databases-including ADMETlab 2.0, ProTox-III, SwissTarget- Prediction, GeneCards, OMIM, TTD, and the PDB-we systematically identified the potential therapeutic targets of BPA and the disease-associated targets of DN. Overlapping targets between the two sets were rigorously extracted using Venn diagram analysis. Subsequently, a BPA-DN protein- protein interaction network was constructed and visualized using Cytoscape. Functional enrichment analyses (GO and KEGG) were performed to clarify the biological processes and signaling pathways involved. Finally, molecular docking simulations between BPA and top-ranked hub targets were conducted using CB-Dock2 to evaluate binding feasibility and stability.
resultsA total of 42 potential therapeutic targets of BPA in DN were identified through integrative bioinformatic analysis. Functional enrichment analysis indicated that immune-inflammatory response and programmed cell death were the predominant biological processes associated with BPA-induced toxicity. Molecular docking simulations demonstrated stable binding conformations between BPA and six core targets-ESR1, PTGS2, MMP2, BCL2, MMP9, and INS-with binding energies ranging from -6.1 to -8.6 kcal/mol, suggesting strong binding affinity. Pathway enrichment analysis further indicated that the MAPK, PI3K-Akt, and NF-κB signaling pathways act as central mediators in BPA-associated DN pathogenesis. DISCUSSION: This study clarifies the molecular mechanism by which BPA may induce DN through multitarget and multipathway approaches. The findings not only provide a new theoretical framework for understanding the pathogenesis of BPA-induced nephrotoxicity but also demonstrate the effectiveness of network toxicology in identifying toxic pathways of environmental pollutants. Moreover, they offer a scientific basis for the prevention of BPA-related diabetic complications and the development of targeted therapeutic strategies.
conclusionBPA may influence the secretion and sensitivity of INS by interfering with the ESR1- mediated hormone signaling pathway, affecting the expression of PTGS2, MMP2, and MMP9, modulating BCL2, and ultimately promoting the pathological progression of DN.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.