98%
921
2 minutes
20
The objective of this study was to investigate the hepatotoxic effects and molecular mechanisms underlying di(2-ethylhexyl) phthalate (DEHP)-induced intrahepatic cholestasis of pregnancy (ICP) through a network toxicology approach. Utilizing liver transcriptomics in conjunction with the GeneCards, DisGeNET, and OMIM databases, we identified 151 potential targets associated with DEHP-induced ICP. Subsequent analyses employing STRING and cytoscape software revealed five core targets: EGFR, STAT3, JUN, FOS, and HSP90AA1. Functional enrichment analysis via gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathways indicated significant involvement in cholesterol synthesis, bile salt secretion, and the MAPK signaling pathway. Molecular docking studies conducted using AutoDock demonstrated strong binding affinities between DEHP and these core targets. In conclusion, this study offers novel insights into the molecular mechanisms of DEHP-induced hepatotoxicity during pregnancy while providing a systematic framework for assessing risks associated with DEHP exposure; thus contributing to the prevention and treatment of ICP.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12214484 | PMC |
http://dx.doi.org/10.1038/s41598-025-05489-w | DOI Listing |
Pestic Biochem Physiol
November 2025
Marine College, Shandong University, Weihai, Shandong 264209, China. Electronic address:
Tralopyril (TP), a representative bromopyrrolonitrile, functions as a broad-spectrum insecticide, raising growing concerns about its potential impact on aquatic organisms and human intestinal health. However, the key targets and toxicity mechanisms underlying TP-induced enteritis remain unclear. In this study, we utilized network toxicology combined with molecular docking to comprehensively explore the potential molecular mechanisms underlying TP-induced enteritis.
View Article and Find Full Text PDFEcotoxicol Environ Saf
September 2025
Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu, China. Electronic address:
Pulmonary arterial hypertension (PAH) is a rare but serious disease that poses a significant threat to patients' quality of life and life expectancy. Perfluorooctane sulfonate (PFOS) is a widely used chemical that, due to its toxicity, persistence, and bioaccumulation properties, may increase the risk of developing PAH with prolonged exposure. This study investigated the molecular mechanisms linking PFOS exposure to PAH by integrating network toxicology and molecular docking methods.
View Article and Find Full Text PDFJ Appl Toxicol
September 2025
Department of Urology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China.
N-(1,3-Dimethylbutyl)-N'-phenyl-p-phenylenediamine-quinone (6PPDQ), as a recently identified environmental toxicant, has garnered significant attention because of its widespread detection in ecosystems and human habitats. Emerging evidence highlights its potential detrimental effects on various organs. However, its carcinogenic potential remains poorly understood, particularly its role in clear cell renal cell carcinoma (ccRCC).
View Article and Find Full Text PDFFood Chem Toxicol
September 2025
School of Life Science, Huaibei Normal University, Huaibei, 235000, China. Electronic address:
Bleomycin (BLM) is an effective anticancer agent; however, its clinical use is limited by its tendency to induce pulmonary fibrosis (PF), a complication whose molecular mechanisms remain unclear. In this study, we established a BLM-induced C57BL/6 mouse model of PF and applied total RNA-seq in combination with network toxicology approaches to investigate the role of long noncoding RNAs (lncRNAs) in this process. The lncRNA Xist was identified as a hub node in the network, regulating the expression of its target Mmp25 via interaction with miR-34a-5p and miR-449c-5p.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
School of Computer Software, College of Intelligence and Computing, Tianjin University, Tianjin, China.
Drug-induced liver injury is a leading cause of high attrition rates for both candidate drugs and marketed medications. Previous in silico models may not effectively utilize biological drug property information and often lack robust model validation. In this study, we developed a graph convolutional network embedded with a biological graph learning (BioGL) module-named BioGL-GCN(Biological Graph Learning-Graph Convolutional Network)-for drug-induced liver injury prediction using toxicogenomic profiles.
View Article and Find Full Text PDF