Evidence map›Paper›PMID 41883380›Full record

ArticleEnvironment & health (Washington, D.C.)2026

Sex-Specific Biological Aging-Related Lipidomic Profiles Mediate the Impact of Urinary Polycyclic Aromatic Hydrocarbon Exposures on Cognitive Function in Healthy Older Adults.

Huimin Ren, Wanying Shi, Xiaojie Guo, Xiao Ma, Jiran Zhang, Yongjun Situ, Chenfeng Li, Chenlong Li, Peijie Sun, Yibo Xu and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environment & health (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

16 authors.

Huimin RenChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Wanying ShiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Xiaojie GuoChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Xiao MaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Jiran ZhangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Yongjun SituChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Chenfeng LiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Chenlong LiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Peijie SunChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Yibo XuChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Kangning CaoChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Jiankun QianChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Yifu LuChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.ORCID https://orcid.org/0000-0002-2563-8030
Shilu TongChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Xiaoming ShiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.ORCID https://orcid.org/0000-0002-7071-571X
Song TangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.ORCID https://orcid.org/0000-0003-3219-1422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging evidence suggests that exposure to polycyclic aromatic hydrocarbons (PAHs) may exacerbate cognitive deterioration and biological aging, but the biomolecular mechanisms, particularly those driving sex-specific vulnerability, remain unclear. This 5-month longitudinal panel study, conducted among 76 healthy participants aged 60-69 in Jinan, China. Urinary concentrations of six PAHs were measured, and biological age was estimated using the Klemera and Doubal method. The associations between individual and combined PAH exposures and cognitive function were examined using linear mixed-effects model, and the mediating effect of biological aging was assessed by mediation model. Additionally, lipidomic profiling including lipidome clustering and individual lipids helped identify key biomolecular mediators. The results showed that exposure to four PAHs was significantly associated with cognitive decline, with combined exposure analysis further indicated the detrimental effects of PAH mixtures. And biological aging partially mediated the association between 2-hydroxynaphthalene (2-NAP) and cognitive function. Key lipid levels, particularly phosphatidylethanolamines (PEs)-dominated clustering pattern, emerged as pivotal molecular mediator shaping this relationship. Additionally, more lipid species, notably phosphatidylcholines (PCs), mediated PAHs-induced cognitive decline in females. These findings elucidate lipid levels as a key mechanism linking biological aging and PAHs-induced cognitive decline, with specific lipid alterations partially explaining the increased vulnerability of females to cognitive decline.

Indexed as

biological agingcognitive functionpolycyclic aromatic hydrocarbonsserum lipidome

Identifiers

PMID41883380
PMCPMC13010294

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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.