Evidence map›Paper›PMID 40981471›Full record

ArticleInternational journal of surgery (London, England)2026

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

Xueli Yang, Bo Yan, Yu Zhao, Linxiang Zhou, Miao Liu, Gong Chen, Lei Shen, Tao Deng

Abstract read
In one paragraph

Article in International journal of surgery (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
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

8 authors.

Xueli YangDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Bo YanDepartment of Gastroenterology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, China.
Yu ZhaoDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Linxiang ZhouDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Miao LiuDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Gong ChenDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Lei ShenDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Tao DengDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent decades, the widespread use of polyethylene terephthalate (PET) has led to the proliferation of PET microplastics (PET-MPs) in the environment, posing potential threats to human health, including ulcerative colitis (UC). However, the underlying molecular mechanisms remain unclear.

methodsData sourced from public databases were harnessed to predict the targets of PET-MPs and identify UC-related differentially expressed genes. Functional enrichment analyses were conducted to uncover relevant biological pathways. Three machine learning (ML) algorithms were utilized to screen for hub genes associated with PET-MPs-induced UC, followed by the evaluation of these hub genes using eight ML algorithms via SHapley Additive exPlanations (SHAP) analysis. Subsequently, a nomogram was constructed and validated based on a risk prediction model, and single-cell sequencing analysis and molecular docking were performed. An animal model was established via coadministration of 3% dextran sulfate sodium (DSS) and PET-MPs. Western blot analysis was employed to verify the protein expression levels in intestinal tissues.

resultsEleven potential targets related to PET-MPs-induced UC toxicity were identified. Four hub genes (CTSK, NAAA, PDE4B, and PFKFB3) were successfully screened out, exhibiting significant expression disparities in UC samples. The constructed risk prediction model demonstrated high prediction accuracy. Single-cell analysis revealed distinct expression patterns of the hub genes across different cell types, and molecular docking confirmed strong binding affinities between PET-MPs and these genes. Animal experiments revealed that the expression levels of CTSK, PDE4B, and PFKFB3 in the DSS + PET-MPs group were significantly upregulated, while the expression level of NAAA was significantly downregulated, compared with the DSS group.

conclusionThis study offers valuable insights into the molecular mechanisms by which PET-MPs may induce UC, providing a theoretical foundation for understanding the potential health risks associated with PET-MPs exposure.

Indexed as

Colitis, UlcerativeMicroplasticsPolyethylene TerephthalatesAnimalsDisease Models, AnimalHumansMachine LearningMaleMiceMolecular Docking SimulationMultiomicsMicroplasticsPolyethylene Terephthalatesmachine learningmolecular dockingmultiomicsnetwork toxicologyPET-MPsulcerative colitis

Identifiers

PMID40981471
PMCPMC12825725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.