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Integrative network toxicology and molecular docking preliminarily explore the potential role of polystyrene microplastics in childhood obesity
Summary
Researchers used computational methods including network toxicology, machine learning, and molecular docking to explore how polystyrene microplastics might contribute to childhood obesity. They identified 40 overlapping genes between obesity-related and microplastic-affected pathways, concentrated in lipid metabolism and insulin signaling. The study suggests that polystyrene microplastics may act as environmental triggers capable of disrupting metabolic balance by interacting with key regulatory genes.
Childhood obesity is a severe global epidemic, and emerging evidence suggests environmental pollutants like polystyrene microplastics (PS-MPs) may disrupt metabolic homoeostasis though mechanistic insights remain limited. This study integrated cross-species transcriptomics (from zebrafish and human adipose datasets), network toxicology, machine learning, and molecular docking to explore this link. We identified 40 overlapping genes between childhood obesity related DEGs and PS-MPs related genes, enriched in lipid metabolic pathways such as cholesterol homoeostasis and insulin signalling. Topological and machine-learning analyses highlighted hub genes, which showed strong diagnostic accuracy. Molecular docking further revealed stable binding (energy < −5.0 kcal/mol) between PS-MPs and key targets (APOB、BUB1、CDC20 and PPARGC1A). Our integrative analysis suggests that PS-MPs may act as an environmental trigger that could disrupt conserved lipid and metabolic homoeostasis by targeting key hub genes (APOB、BUB1、CDC20 and PPARGC1A). These findings provide a novel molecular hypothesis linking PS-MPs exposure to childhood obesity and support precautionary measures.