Evidence map›Paper›PMID 41436509›Full record

ArticleScientific reports2025

Identifying toxicological effects of perfluoroalkyl and polyfluoroalkyl substances exposure on osteoarthritis.

Zhenxing Hou, Yanzheng Gao

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
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

2 authors.

Zhenxing HouDepartment of Spinal Cord Surgery, People's Hospital of Henan University, Zhengzhou, 450003, China.
Yanzheng GaoDepartment of Spinal Cord Surgery, Henan Provincial People's Hospital, Zhengzhou, 450003, China. syjzgyz@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perfluoroalkyl and polyfluoroalkyl substances (PFAS) pose a significant challenge due to their persistence, bioaccumulation, and multi-system toxicity. Their impact on degenerative diseases, particularly osteoarthritis (OA), remains understudied, necessitating comprehensive toxicity assessment. Multiple databases identified targets between PFAS and OA. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to elucidate the underlying mechanisms. Machine learning further screened targets, and molecular docking confirmed strong binding affinities between PFAS and core targets. 31 targets between PFAS and OA were identified through the multiple databases, with GO analysis revealing enrichment in inflammatory response, nuclear receptor activity, and oxidative stress. KEGG pathway enrichment analyses implicated PI3K-Akt, interleukin-17 (IL-17), and peroxisome proliferator-activated receptor (PPAR) signaling in cartilage homeostasis disruption. Machine learning further identified nine hub genes, and molecular docking confirmed strong binding affinities between PFAS and these core targets. RT-qPCR analyses indicated that PFAS may exacerbate OA via the following mechanisms: impairing ABCB1-mediated detoxification, antagonizing ESR1-mediated cartilage protection, down-regulating FGFR2 to suppress chondrocyte survival, and inhibiting DNMT1-mediated methylation to disrupt chondrocyte phenotypic stability. This study provides new insights into the potential impact of PFAS on OA and highlights the need for further investigation.

Indexed as

FluorocarbonsOsteoarthritisEnvironmental PollutantsGene OntologyHumansMolecular Docking SimulationSignal TransductionEnvironmental PollutantsFluorocarbonsMachine learningMolecular dockingNetwork toxicologyOsteoarthritisPFASPFOS

Identifiers

PMID41436509
PMCPMC12727728

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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 OpenQuestion graph.