The Mechanism of Bisphenol S‐Induced Atherosclerosis Elucidated Based on Network Toxicology, Molecular Docking, and Machine Learning DOI Open Access
Bing Guo, He Xuan

Journal of Applied Toxicology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

The increasing prevalence of environmental pollutants has raised public concern about their potential role in diseases such as atherosclerosis (AS). Existing studies suggest that chemicals, including bisphenol S (BPS), may adversely affect cardiovascular health, but the specific mechanisms remain unclear. This study aims to elucidate effects BPS on AS and underlying mechanisms. Through an extensive search databases ChEMBL, STITCH, SwissTargetPrediction, SuperPred, SEA, GEO, we identified 34 targets related BPS-induced AS. A target network was constructed using STRING platform Cytoscape software. GO KEGG functional enrichment analysis DAVID database revealed promote occurrence by interfering with critical biological processes glutathione metabolism, nitrogen tyrosine metabolism. followed selection 4 core targets-aminopeptidase n (ANPEP), alcohol dehydrogenase 5 (ADH5), lysosomal pro-x carboxypeptidase (PRCP), microsomal s-transferase 1 (MGST1)-using five machine learning methods. These play a pivotal Furthermore, molecular docking confirmed tight binding between these targets. In conclusion, this provides theoretical framework for understanding contributes scientific evidence development prevention treatment strategies triggered exposure.

Language: Английский

The Mechanism of Bisphenol S‐Induced Atherosclerosis Elucidated Based on Network Toxicology, Molecular Docking, and Machine Learning DOI Open Access
Bing Guo, He Xuan

Journal of Applied Toxicology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

The increasing prevalence of environmental pollutants has raised public concern about their potential role in diseases such as atherosclerosis (AS). Existing studies suggest that chemicals, including bisphenol S (BPS), may adversely affect cardiovascular health, but the specific mechanisms remain unclear. This study aims to elucidate effects BPS on AS and underlying mechanisms. Through an extensive search databases ChEMBL, STITCH, SwissTargetPrediction, SuperPred, SEA, GEO, we identified 34 targets related BPS-induced AS. A target network was constructed using STRING platform Cytoscape software. GO KEGG functional enrichment analysis DAVID database revealed promote occurrence by interfering with critical biological processes glutathione metabolism, nitrogen tyrosine metabolism. followed selection 4 core targets-aminopeptidase n (ANPEP), alcohol dehydrogenase 5 (ADH5), lysosomal pro-x carboxypeptidase (PRCP), microsomal s-transferase 1 (MGST1)-using five machine learning methods. These play a pivotal Furthermore, molecular docking confirmed tight binding between these targets. In conclusion, this provides theoretical framework for understanding contributes scientific evidence development prevention treatment strategies triggered exposure.

Language: Английский

Citations

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