Evidence map›Paper›PMID 42227375›Full record

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.

Jiaxin Li, Xiuqin Ni, Qi Fan, Fuli Jian

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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.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jiaxin LiJiangsu Food & Pharmaceutical Science College, School of Health Medicine, Huai'an 223003, China.ORCID 0009-0008-2122-3832
Xiuqin NiJiangsu Food & Pharmaceutical Science College, School of Health Medicine, Huai'an 223003, China.ORCID 0000-0003-4143-7711
Qi FanHeilongjiang University of Chinese Medicine, Harbin 150000, China.ORCID 0009-0006-3274-0320
Fuli JianThe Thirteenth People's Hospital of Chongqing, Chongqing 400053, China.ORCID 0009-0007-4180-774X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Benzhydryl CompoundsDiabetic NephropathiesEndocrine DisruptorsMolecular Docking SimulationPhenolsBisphenol A CompoundsHumansProtein Interaction MapsSignal TransductionBenzhydryl Compoundsbisphenol ABisphenol A CompoundsEndocrine DisruptorsPhenolsBisphenol ABPA-induced nephrotoxicitydiabetic nephropathymolecular dockingnetwork toxicologytherapeutic strategies

Identifiers

PMID42227375
PMCPMC13598746

What Socratic holds

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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.