Evidence map›Paper›PMID 41840833›Full record

ArticleThe Journal of international medical research2026

Association between urinary polycyclic aromatic hydrocarbon metabolites and sleep disturbances: A cross-sectional study integrating machine learning and network toxicology.

Yiren Bao, Bo Liang, Yankai Dong, Rui Wang

Abstract read
In one paragraph

Article in The Journal of international medical research, 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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0cells of the map it votes in
0citing papers in PubMed
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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

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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

4 authors.

Yiren BaoDepartment of Massage, The Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, China.
Bo LiangDepartment of Nephrology, The Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), China.ORCID 0000-0002-1749-6976
Yankai DongModern Industrial College of Traditional Chinese Medicine and Health, Lishui University, China.
Rui WangDepartment of Massage, The Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, China.ORCID 0009-0004-2959-4372

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveAlthough humans are widely exposed to polycyclic aromatic hydrocarbons, current evidence on the association between urinary polycyclic aromatic hydrocarbon metabolites and sleeping troubles remains limited. Herein, we aimed to investigate the effects of urinary polycyclic aromatic hydrocarbon metabolites on sleep-related issues.MethodsThis retrospective cross-sectional study analyzed data from 3262 adults (≥20 years) enrolled in the National Health and Nutrition Examination Survey cycles (2005-2006, 2007-2008, and 2011-2012). The association between urinary polycyclic aromatic hydrocarbon metabolites and sleeping troubles was assessed using 11 distinct machine learning algorithms. Subsequently, network toxicology was conducted to identify critical protein targets, which were subsequently validated through molecular docking analyses.ResultsBoth the Random Forest and CatBoost algorithms exhibited superior performance, identifying four key pollutants: 1-hydroxypyrene, 2-hydroxyfluorene, 3-hydroxyfluorene, and 3-hydroxyphenanthrene. Molecular docking analysis further revealed that the critical targets through which polycyclic aromatic hydrocarbons influence sleep include androgen receptor, B-cell lymphoma, nuclear receptor subfamily 3 group C member 1, and transient receptor potential vanilloid 1.ConclusionsOur findings revealed an association between environmentally relevant polycyclic aromatic hydrocarbon metabolites and sleep disturbances. We also explored the underlying mechanisms using network toxicology. Our findings provide a foundation for in vivo validation in preclinical animal models and the development of sleep interventions targeting polycyclic aromatic hydrocarbons.

Indexed as

Environmental PollutantsMachine LearningPolycyclic Aromatic HydrocarbonsSleep Wake DisordersAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedMolecular Docking SimulationNutrition SurveysRetrospective StudiesEnvironmental PollutantsPolycyclic Aromatic Hydrocarbonsmachine learningmolecular dockingnetwork toxicologypolycyclic aromatic hydrocarbonsTrouble sleeping

Identifiers

PMID41840833
PMCPMC13009798

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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.