Evidence mapPaperPMID 41540215Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

Evaluating the toxicological effects of PET-MPs exposure on atherosclerosis through integrated network toxicology analysis and experimental validation.

Cong Yan, Tianming Liu

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In one paragraph

Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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

2 authors.

Cong YanThe First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Tianming LiuThe First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China. liutianming857@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyethylene terephthalate microplastics (PET-MPs) can enter the human body and accumulate through various pathways. However, the toxicological mechanism by which they cause atherosclerosis (AS) remains unclear. PET targets from the ChEMBL, SwissTargetPrediction, SEA, and PharmMapper databases; AS targets from the GeneCards and OMIM databases; and RNA-seq data related to AS were retrieved from the GEO database. The intersection of the aforementioned targets was taken to identify the potential targets of PET-induced AS. Enrichment analysis was conducted on these intersecting genes. The protein-protein interaction (PPI) network was used to further screen the core targets. Single-cell RNA sequencing data of atherosclerotic tissues were retrieved from the GEO database. Molecular docking was carried out using the AutoDock Vina software. Cell experiments were conducted using kit-based detection and PCR technology. A total of 41 potential targets of PET-induced AS were obtained. After further screening, four core targets were obtained, namely CCL5, CTSB, PPARG, and TNF. The expression of core target genes exhibited cellular heterogeneity in atherosclerotic plaque tissues. Enrichment analysis indicated that PET might induce AS through multiple signaling pathways. The results of molecular docking indicated that PET had a certain affinity for all four core target proteins. Cell experiments showed that PET-MPs may exacerbate AS by promoting inflammatory responses. In this study, we use a combination of bioinformatics and experimental verification to initially explore the potential toxicological mechanism by which PET-MPs induce AS.

Indexed as

AtherosclerosisPolyethylene TerephthalatesAnimalsHumansMolecular Docking SimulationProtein Interaction MapsSignal TransductionPolyethylene TerephthalatesASMolecular dockingNetwork toxicologyPET-MPs

Identifiers

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Registered trials

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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 Socratic graph.