Evidence map›Paper›PMID 42854077›Full record

ArticleMedicine2026

Revealing the toxicological effects and mechanisms of tris(1-chloro-2-propyl) phosphate exposure on osteoarthritis based on network toxicology, machine learning, and molecular docking.

Bin Yang, Xiangjin Wang, Li Zhuo, Yutong Chen, Qiansong He

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

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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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3 · Its place in the literature

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0 citing papers in PubMed.

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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

5 authors.

Bin YangBayi Orthopedic Hospital, China RongTong Medical Healthcare Group Co., Ltd., Chengdu, China.
Xiangjin WangDepartment of Orthopedics, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Li ZhuoBayi Orthopedic Hospital, China RongTong Medical Healthcare Group Co., Ltd., Chengdu, China.
Yutong ChenSchool of Sports Medicine and Health, Chengdu Sports University, Chengdu, China.
Qiansong HeBayi Orthopedic Hospital, China RongTong Medical Healthcare Group Co., Ltd., Chengdu, China.ORCID 0009-0006-1538-3958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is a degenerative disease affecting all joints in the body, impacting over 500 million people globally and imposing a significant healthcare burden. Tris(1-chloro-2-propyl) phosphate (TCPP), one of the widely used organophosphate flame retardants (OPFRs), exhibits notable environmental and biological toxicity. However, the role and molecular mechanisms of TCPP exposure in OA remain unclear. This study combined network toxicology, machine learning, and molecular docking techniques to identify key targets and pathways associated with TCPP exposure and OA. A nomogram model was constructed based on the identified hub genes, and immune cell infiltration was evaluated using the cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm. By searching multiple public databases, we obtained 106 TCPP-OA intersection genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed that these targets primarily participate in immune regulation and inflammatory responses, involving pathways such as the mitogen-activated protein kinase and phosphoinositide 3-kinase/protein kinase B (PI3K-Akt) signaling pathways. Machine learning algorithms identified 4 hub genes: GRB2, GSK3B, IL18, and THBS1. Based on these hub genes, we constructed a nomogram model. Calibration curves and decision curves demonstrated the model's sound diagnostic value and clinical efficacy. The CIBERSORT algorithm identified 6 immune cell types with significantly altered infiltration levels during OA progression, and the hub genes were closely associated with multiple immune cell populations. Molecular docking analysis suggested interactions between TCPP and the key proteins. These findings provide the first evidence highlighting the mechanisms through which TCPP may influence OA pathogenesis and identify relevant toxicological targets, laying a foundation for developing strategies to mitigate its effects on OA and improve the understanding of TCPP-related health risks. However, additional in vivo and in vitro studies are required to validate these mechanisms.

Indexed as

Machine LearningOsteoarthritisAnimalsHumansMolecular Docking SimulationSignal Transductionmachine learningmolecular dockingnetwork toxicologynomogramosteoarthritistris(1-chloro-2-propyl) phosphate

Identifiers

PMID42854077
PMCPMC13657492

What OpenQuestion holds

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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.