Evidence map›Paper›PMID 42293615›Full record

ArticleFrontiers in public health2026

Associations of co-exposure to metals and polycyclic aromatic hydrocarbons with aging biomarkers: insights from epidemiology and network toxicology.

Min Mu, Shikai Xiong, Xin Guan, Liliang Yu, Huan Guo, Xuefeng Lai

Abstract read
In one paragraph

Article in Frontiers in public health, 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
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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

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

6 authors.

Min Mu *Key Laboratory of Industrial Dust Prevention and Control and Occupational Health and Safety, Ministry of Education, Anhui University of Science and Technology, Huainan, Anhui, China.
Shikai Xiong *Provincial Key Laboratory of Occupational Health, School of Public Health, Healthy Hubei Development and Social Progress Research Center of the Key Research Base of Humanities and Social Sciences in Hubei Province, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Xin Guan *Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Liliang YuProvincial Key Laboratory of Occupational Health, School of Public Health, Healthy Hubei Development and Social Progress Research Center of the Key Research Base of Humanities and Social Sciences in Hubei Province, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Huan GuoDepartment of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Xuefeng LaiProvincial Key Laboratory of Occupational Health, School of Public Health, Healthy Hubei Development and Social Progress Research Center of the Key Research Base of Humanities and Social Sciences in Hubei Province, Wuhan University of Science and Technology, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of polycyclic aromatic hydrocarbons (PAHs) and metals on aging biomarkers-telomere length (TL) and mitochondrial DNA copy number (mtDNAcn)- has been investigated separately. However, their combined effects, particularly in highly exposed occupational populations, remain unexamined, despite their frequent co-occurrence in environmental settings. This study measured baseline urinary and blood samples from 867 coke oven workers at baseline for 33 chemical pollutants and mtDNAcn, and assessed leukocyte TL at both baseline and follow-up. The combined effect of metals and PAHs on aging biomarkers was evaluated using weighted quantum sum (WQS) regression and Bayesian kernel machine regression (BKMR), and mediation analyses were also conducted. Multiple linear regression incorporating 33 pollutants and least absolute shrinkage and selection operator (LASSO) regression were used to identify individual exposures with significant effects, while restricted cubic splines were applied to explore potential nonlinear dose-response relationships. We observed that both the WQS and BKMR indicated that 33 chemical mixtures exposure was significantly negatively associated with the TL ratio (follow-up/baseline) and positively associated with baseline mtDNAcn. Urinary 1-hydroxypyrene, molybdenum, selenium (Se), and barium were identified as the major contributors. Furthermore, oxidative stress and inflammation mediated the link of major individual pollutants as well as the chemical mixture to biological aging. Network toxicology analysis identified

Indexed as

AgingBiomarkersMetalsOccupational ExposurePolycyclic Aromatic HydrocarbonsCokeDNA, MitochondrialFemaleHumansMaleMiddle AgedBiomarkersCokeDNA, MitochondrialMetalsPolycyclic Aromatic Hydrocarbonsco-exposurecohort studymetalsMtDNAcnpolycyclic aromatic hydrocarbonstelomere shortening

Identifiers

PMID42293615
PMCPMC13253628

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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.