0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Food & Water Human Health Effects Remediation Sign in to save

Mechanistic study of plastic monomers in gestational diabetes mellitus: A network toxicology and molecular docking approach

PLoS ONE 2025 Score: 48 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Yingying Feng, Tingting Huang

Summary

Using network toxicology and molecular docking, researchers investigated how plastic monomers interact with molecular targets involved in gestational diabetes mellitus (GDM). The analysis identified shared gene targets and signaling pathways linking plastic monomer exposure to insulin resistance and inflammatory mechanisms relevant to GDM development.

Plastics are widely used in various fields such as food packaging, textile fibers, building materials, and transportation. Although the relationship between plastic additives and diseases has been reported, there is limited research on the association between plastic monomers (PM) and gestational diabetes mellitus (GDM). This study aims to investigate the link between environmental PM and GDM. By employing advanced network toxicology and molecular docking techniques, we successfully elucidated the molecular mechanisms by which PM may induce GDM. Utilizing databases such as PubChem, SEA, Super-PRED, SwissTargetPrediction, PharmMapper, Gene Cards, and OMIM, we identified potential targets associated with the disease. Further analysis using STRING and Cytoscape software helped determine the core targets most significantly related to these metabolic disorders. Additionally, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were conducted using the David database to characterize these core targets. Finally, molecular docking with CB-Dock2 was used to validate the binding affinity of PM to these target proteins. Our findings suggest that PM may potentially induce GDM by modulating the insulin signaling pathway through STAT3, AKT1, and TP53. In summary, this work provides novel insights into the mechanisms by which environmental pollutants may trigger GDM, thereby laying a theoretical foundation for disease prevention and treatment. It offers valuable references for the safety evaluation of plastics, urging food safety regulatory agencies to strengthen oversight and encouraging the public to reduce plastic usage.

Sign in to start a discussion.

More Papers Like This

Article Tier 2

Elucidating the Mechanism of Polyethylene Terephthalate Micro / Nanoplastics Inducing Gestational Diabetes Mellitus through Network Toxicology and Molecular Docking Analysis

Researchers used computer modeling to investigate how tiny plastic particles shed from PET water bottles and packaging may contribute to gestational diabetes, identifying three key regulatory proteins (STAT1, PIK3R1, PTPN11) that PET microplastics appear to disrupt. The findings suggest these particles could interfere with insulin signaling during pregnancy, pointing to a potential environmental driver of a condition that affects millions of expectant mothers.

Article Tier 2

Integrative network toxicology and molecular docking preliminarily explore the potential role of polystyrene microplastics in childhood obesity

Researchers used an integrative computational approach combining cross-species transcriptomics, network toxicology, and molecular docking to investigate potential links between polystyrene microplastic exposure and childhood obesity. They identified shared gene targets involved in lipid metabolism and insulin signaling pathways, with molecular docking confirming stable binding between microplastic compounds and key metabolic proteins. The findings provide a preliminary molecular hypothesis suggesting microplastics could disrupt metabolic processes relevant to obesity.

Article Tier 2

Integrative network toxicology and molecular docking preliminarily explore the potential role of polystyrene microplastics in childhood obesity

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.

Article Tier 2

Assessing the toxicological effects of exposure to environmental pollutants PET-MPs on vascular diseases: insights from network toxicology, molecular docking, molecular dynamics, and experimental validation

Researchers used network toxicology, molecular docking, and cell experiments to investigate how PET microplastics may contribute to vascular diseases. They identified four core molecular targets and found that PET microplastics induced mitochondrial oxidative stress, increased reactive oxygen species, and promoted vascular smooth muscle cell death. The study provides initial molecular-level evidence that microplastic exposure may be a contributing factor in vascular damage and remodeling.

Article Tier 2

Network toxicology and bioinformatics analysis reveal the molecular mechanisms of polyethylene terephthalate microplastics in exacerbating diabetic nephropathy

This computational study used bioinformatics to explore how polyethylene terephthalate (PET) microplastics might worsen diabetic kidney disease. The analysis identified key genes and inflammatory pathways that are affected by both PET microplastics and kidney damage in diabetes. The findings suggest that microplastic exposure could accelerate kidney problems in people who already have diabetes, though lab and clinical studies are needed to confirm this.

Share this paper