Evidence map›Paper›PMID 41266764›Full record

ArticleScientific reports2025

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

Qiang Wang, Hu Liang, Lang Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Qiang Wang *Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Hu Liang *Department of Cardiology, The People's Hospital of Laibin, Laibin, Guangxi, China.
Lang LiDepartment of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China. drlilang1968@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyethylene terephthalate microplastics (PET-MPs) have emerged as a significant environmental issue, primarily due to their durability and associated health hazards. Nevertheless, their contribution to the pathogenesis of atherosclerosis (AS) is not well elucidated, highlighting the necessity for a comprehensive assessment of their molecular toxicology. In the present investigation, we utilized network toxicology and molecular docking methodologies to explore the toxic mechanisms by which PET-MPs may induce AS. Evaluations of datasets from GEO, ChEMBL, and SwissTargetPrediction led to the identification of 28 potential targets linked to PET-MPs exposure, which were narrowed down to seven key targets through machine learning techniques. Enrichment analyses involving Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways indicated that PET-MPs affect significant pathways related to inflammation and metabolism. Further, molecular docking validated robust binding affinities between PET-MPs and the identified core targets, implying their capacity to interfere with essential cellular functions. These results suggest that PET-MPs may facilitate the progression of AS by altering inflammatory responses and metabolic processes. This research offers new insights into the molecular mechanisms driving PET-MPs-related AS. It illustrates the effectiveness of network toxicology in evaluating the toxicity of novel environmental contaminants, thereby providing a theoretical framework for understanding the health implications of PET-MPs and informing strategies to alleviate their effects on cardiovascular health.

Indexed as

AtherosclerosisMachine LearningPolyethylene TerephthalatesHumansMolecular Docking SimulationPolyethylene TerephthalatesAtherosclerosisMolecular dockingNetwork toxicologyPET-MPs

Identifiers

PMID41266764
PMCPMC12749579

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.