Network toxicology and machine learning revealed the association between non-alcoholic fatty liver disease induced by polystyrene nanoplastics - PubMed
5 hours ago
- #Machine Learning
- #Environmental Health
- #Network Toxicology
- Styrene was identified as a microplastic monomer with significant hepatic toxicity using ADMETlab 3.0.
- Network toxicology linked styrene exposure to non-alcoholic fatty liver disease (NAFLD) through 158 overlapping genes from databases and NAFLD-related genes.
- Machine learning models (LASSO regression, random forest, SVM-RFE) identified HSPD1 and NFE2L2 as core genes associated with NAFLD, validated in a separate cohort.
- In vitro experiments with polystyrene nanoparticles (PS-NPs) increased lipid accumulation in HepG2 and AML12 cells, affecting lipid metabolism regulators like ACC1, FASN, and CPT1A.
- PS-NPs upregulated HSPD1 and NFE2L2, suggesting they promote hepatic lipid accumulation, providing insights into environmentally induced NAFLD.