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 Human Health Effects Policy & Risk Remediation Sign in to save

Exploring the prognostic implications of PET microplastic degradation products in colorectal cancer: insights from an integrated computational analysis on glucocorticoid pathway–mediated mechanisms

Figshare 2025 Score: 48 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Jiaxiang Yang, Yingzhe Zhang, Yingzhe Zhang, Jia Peng, Xiang Huang, Xiang Huang, Jiayao Li, Jiayao Li, Tao Yi, Tao Yi, XiaoLan Jian

Summary

Combining network toxicology, machine learning, and molecular docking, this study found that PET plastic degradation products ethylene glycol and terephthalic acid may influence colorectal cancer prognosis through 43 shared genes linked to TNF/IL-17 signaling and glucocorticoid-mediated metabolic pathways.

Polymers
Body Systems

Microplastics (MPs) and their degradation products pose growing environmental and health risks. This study investigates how polyethylene terephthalate (PET)-derived degradation products, ethylene glycol (EG) and terephthalic acid (TPA), influence colorectal cancer (CRC) prognosis. Integrating network toxicology, machine learning (ML), and molecular docking, we identified 43 genes linking EG/TPA exposure to CRC pathogenesis. Functional enrichment analysis revealed their involvement in TNF/IL-17 signaling and glucocorticoid (GC)-mediated metabolic pathways, synergistically promoting chronic inflammation and immune suppression. Prognostic ML models prioritized SPP1, TJP1, and DDIT3 as hub genes significantly correlated with poor survival outcomes. Molecular docking confirmed EG’s stable binding to these targets, suggesting mechanisms involving cytoskeletal remodeling, tight junction disruption, and endoplasmic reticulum stress. Notably, GC pathway activation emerged as a critical driver of CRC progression, facilitating tumor immune evasion and therapy resistance. Our findings highlight the prognostic relevance of PET-derived MPs via GC signaling dysregulation, providing mechanistic insights into how environmental pollutants exacerbate cancer risks. This study advances strategies for refining MPs toxicity assessments and developing targeted interventions to mitigate CRC progression linked to MPs exposure.

Sign in to start a discussion.

More Papers Like This

Article Tier 2

Exploring the prognostic implications of PET microplastic degradation products in colorectal cancer: insights from an integrated computational analysis on glucocorticoid pathway–mediated mechanisms

Researchers used network toxicology, machine learning, and molecular docking to investigate how PET degradation products—ethylene glycol and terephthalic acid—affect colorectal cancer prognosis through the glucocorticoid signaling pathway. The analysis identified 43 shared target genes, suggesting that PET breakdown products may worsen colorectal cancer outcomes by dysregulating glucocorticoid-mediated anti-inflammatory and cell survival signals.

Article Tier 2

Exploring the prognostic implications of PET microplastic degradation products in colorectal cancer: insights from an integrated computational analysis on glucocorticoid pathway–mediated mechanisms

This computational study investigated how PET microplastic degradation products affect colorectal cancer prognosis, identifying 43 genes linking ethylene glycol and terephthalic acid exposure to cancer pathogenesis via chronic inflammation mediated through TNF/IL-17 and glucocorticoid metabolic pathways.

Article Tier 2

The toxicological impact of PET-MPs exposure on atherosclerosis: insights from network toxicology, molecular docking, and machine learning

Researchers used network toxicology, molecular docking, and machine learning to identify how PET microplastics may promote atherosclerosis, narrowing 28 candidate targets to seven key genes and predicting interactions with atherosclerosis-relevant pathways including inflammation and lipid metabolism.

Article Tier 2

Polyethylene terephthalate microplastics exposure enhances the risk of ulcerative colitis: insights from multiomics integration, machine learning, and molecular docking reveal intestinal toxicity mechanisms

Using multiomics integration, machine learning, and molecular docking, this study identified mechanisms by which PET microplastic exposure may increase the risk of ulcerative colitis. Key pathways included intestinal barrier disruption, immune dysregulation, and oxidative stress triggered by PET-MP-protein interactions.

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.

Share this paper