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20 resultsShowing papers similar to 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
ClearEvaluating the toxicological effects of PET-MPs exposure on atherosclerosis through integrated network toxicology analysis and experimental validation
Researchers used network toxicology analysis and laboratory experiments to investigate how polyethylene terephthalate microplastics may contribute to atherosclerosis. They identified several molecular targets and biological pathways through which these microplastics could promote plaque formation in blood vessels. The study provides preliminary evidence that a commonly encountered type of microplastic may interact with cardiovascular disease mechanisms, though further research is needed to confirm these findings.
Exploring the Potential Mechanism of Polyethylene Terephthalate Associated Cardiotoxicity through Network Toxicology and Molecular Docking
Researchers used computational approaches including network toxicology, molecular docking, and molecular dynamics simulations to explore how polyethylene terephthalate microplastics may affect cardiovascular function. The study identified potential molecular pathways through which PET exposure could contribute to cardiotoxicity. The findings provide a theoretical framework for understanding how plastic contaminants might interact with heart-related biological targets.
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.
The impact of polyethylene terephthalate microplastics on the pathogenesis of atherosclerosis: Focusing on network toxicology and target gene detection
Researchers used network toxicology and gene analysis to investigate how PET microplastics may influence atherosclerosis, the buildup of plaque in arteries. They identified specific genes involved in inflammation and immune cell signaling that are affected by both PET exposure and atherosclerosis development. The study suggests that microplastic exposure could worsen cardiovascular disease through shared inflammatory pathways.
Microplastic exposure and allergic rhinitis: Network toxicology, and molecular docking insights
Researchers used network toxicology and molecular docking approaches to investigate how microplastic exposure may contribute to allergic rhinitis. The study identified key molecular mediators through which microplastics may drive respiratory inflammation pathways, and found that resveratrol could potentially modulate these pathways, offering insights into the mechanisms linking microplastic exposure to allergic respiratory conditions.
Assessing the toxicological impact of PET-MPs exposure on IVDD: Insights from network toxicology and molecular docking
Using computer modeling and molecular analysis, researchers identified key biological targets through which PET microplastics (the type found in plastic bottles) may contribute to spinal disc degeneration. The study found that PET particles could disrupt immune pathways, cell death processes, and tissue breakdown, suggesting a potential link between microplastic exposure and degenerative spinal conditions.
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.
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.
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.
Analyzing the toxicological effects of PET-MPs on male infertility: Insights from network toxicology, mendelian randomization, and transcriptomics
Using network toxicology, Mendelian randomisation, and transcriptomic analysis, researchers identified mechanisms by which PET microplastics may impair male fertility, linking shared gene targets to testicular oxidative stress, hormonal disruption, and spermatogenesis interference. The multi-evidence approach strengthens the case for a causal role of PET-MP exposure in male infertility.
Integrated network toxicology, machine learning, molecular docking and experimental validation to elucidate mechanism of polyethylene terephthalate microplastics inducing periodontitis
Researchers combined computational biology, machine learning, and laboratory experiments to explore how polyethylene terephthalate microplastics might contribute to periodontitis, a common gum disease. They identified key molecular targets and signaling pathways through which microplastics could promote gum tissue inflammation. The study provides the first evidence linking microplastic exposure to the biological mechanisms underlying periodontal disease.
Multi-omics analysis reveals size-dependent toxicity and vascular endothelial cell injury induced by microplastic exposurein vivoandin vitro
Researchers used multi-omics analysis to reveal that microplastics cause size-dependent toxicity and injury to vascular endothelial cells both in vivo and in vitro, identifying the vascular system as a previously understudied target of microplastic exposure.
A computational framework for multi-scale data fusion in assessing the associations between micro- and nanoplastics and human hepatotoxicity
Researchers developed a computational toxicology framework integrating multi-source data and network analysis to map associations between micro- and nanoplastics and hepatotoxicity, identifying key molecular pathways through which MNPs may damage the liver, offering a scalable alternative to traditional in vivo testing.
Mechanistic study of plastic monomers in gestational diabetes mellitus: A network toxicology and molecular docking approach
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.
Polyethylene terephthalate microplastics promote pulmonary fibrosis via AKT1, PIK3CD, and PIM1: A network toxicology and multi-omics analysis
Using computational toxicology and multi-omics analysis, researchers identified three key proteins (AKT1, PIK3CD, and PIM1) through which PET microplastics may promote pulmonary fibrosis, a serious scarring disease of the lungs. The microplastics appear to affect metabolic and inflammatory pathways in specific lung and immune cells. This study provides molecular evidence for how inhaled plastic particles from everyday items could contribute to chronic lung disease.
Adverse outcome pathway networks of microplastic ecotoxicity to aquatic organisms: A critical review
Researchers used automated text-mining combined with multi-level ecotoxicological review to construct adverse outcome pathway networks for microplastic toxicity in aquatic organisms. They mapped how microplastics cause harm from initial tissue contact through molecular disturbances to higher-level biological effects in gills, gut, liver, gonads, and brain. The study found strong evidence for early-stage toxic mechanisms but identified critical knowledge gaps in understanding downstream biological consequences.
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.
Toxicity evaluation of microplastics to aquatic organisms through molecular simulations and fractional factorial designs
Researchers used molecular docking, molecular dynamics, and fractional factorial design to evaluate the toxicity of ten common microplastic types to zebrafish, identifying polystyrene and polyvinylchloride as the most toxic based on binding interactions with key biological proteins.
Intersection of microplastic toxicity targets and differentially expressed genes in allergic rhinitis.
Network analysis identified a set of genes that are both targeted by common microplastics (PE, PP, PVC, PS) and differentially expressed in allergic rhinitis, providing a molecular framework for investigating how microplastic exposure may contribute to nasal allergy pathogenesis.
Exploring the prognostic implications of PET microplastic degradation products in colorectal cancer: insights from an integrated computational analysis on glucocorticoid pathway–mediated mechanisms
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.