Evidence map›Paper›PMID 42006340›Full record

ArticleiScience2026

PTGS2 and KPNA2 as key mediators of DEHP-induced osteoarthritis: From network prediction to machine learning and dynamic simulation validation.

Feida Wang, Jingkai Di, Zijian Guo, Siji Gong, Yaru Liu, Likun Qi, Yuze Wang, Chuan Xiang, Xiaochun Wei

Abstract read
In one paragraph

Article in iScience, 2026. 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
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Feida WangDepartment of Orthopedics, Second Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, China.
Jingkai DiDepartment of Orthopedics, Second Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, China.
Zijian GuoDepartment of Orthopedics, Second Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, China.
Siji GongBasic Medical College, Shanxi Medical University, Taiyuan, China.
Yaru LiuClinical Medical College, Shanxi Medical University, Taiyuan, China.
Likun QiClinical Medical College, Shanxi Medical University, Taiyuan, China.
Yuze WangDepartment of Orthopedics, Second Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, China.
Chuan XiangDepartment of Orthopedics, Second Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, China.
Xiaochun WeiDepartment of Orthopedics, Second Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Di(2-ethylhexyl) phthalate (DEHP), a widely used plasticizer, has drawn increasing concern due to its high exposure potential. Although DEHP exposure has been associated with osteoarthritis (OA), its molecular mechanisms remain insufficiently defined. In this study, 271 DEHP-related OA targets were identified from public databases and functionally characterized using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) , and gene set enrichment analysis (GSEA) analyses, revealing enrichment in chondrocyte differentiation, inflammatory regulation, and PI3K-Akt/MAPK signaling. Machine learning approaches, including LASSO and SVM, further narrowed these to seven core targets, among which THRA, BAG3, PTGS2, KPNA2, and FGF1 exhibited strong diagnostic performance. Molecular docking and dynamics simulations confirmed stable DEHP-protein interactions and highlighted PTGS2 and KPNA2 as key targets. Western blot analyses demonstrated that the overexpression of KPNA2 and PTGS2 accelerates OA progression, whereas their knockdown mitigates DEHP-induced cartilage injury. Collectively, this study elucidates DEHP-mediated OA mechanisms, identifies PTGS2 and KPNA2 as central regulators, and provides mechanistic insight into the joint toxicity of DEHP.

Indexed as

computing methodologymachine learningstructural biology

Identifiers

PMID42006340
PMCPMC13091476

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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.