Evidence map›Paper›PMID 42483594›Full record

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

Associations of Serum Per- and Polyfluoroalkyl Substance Concentrations with Dyslipidemia and Its Subtypes in an Adult Population from Shandong, East China.

Yuting Wu, Gaoxin Zhang, Lingling Meng, Shiyu Dai, Xu Han, Yingming Li, Qinghua Zhang, Guibin Jiang

Abstract read
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. 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

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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

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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

8 authors.

Yuting WuState Key Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Gaoxin ZhangState Key Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Lingling MengDepartment of Nursing, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong 250014, China.
Shiyu DaiState Key Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Xu HanState Key Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Yingming LiState Key Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID https://orcid.org/0000-0003-4261-9744
Qinghua ZhangState Key Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Guibin JiangState Key Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID https://orcid.org/0000-0002-6335-3917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Per- and polyfluoroalkyl substances (PFAS) are a class of persistent environmental pollutants associated with significant health risks. While PFAS exposure has been linked to endocrine diseases, epidemiological evidence regarding its association with dyslipidemia and its subtypes remains limited. This study comprehensively evaluated the associations between serum PFAS levels and dyslipidemia (including its subtypes) in adults, while also investigating the effects on the Triglyceride-Glucose (TyG) index. We recruited a group of adult participants from Shandong Province, East China, which consisted of individuals with dyslipidemia and healthy controls. Multiple statistical approaches were applied, including multivariable logistic regression for single-PFAS associations, quantile-based g-computation (qg-comp) model for mixture effects, and restricted cubic spline (RCS) models for dose-response analyses. Serum concentrations of perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorooctanesulfonate (PFOS), and 6:2 chlorinated polyfluoroalkyl ether sulfonic acid (6:2 Cl-PFESA) were significantly associated with elevated TyG index levels. Exposure to PFOA and PFNA were associated with hypertriglyceridemia (odds ratio (OR) = 1.05, 95% confidence interval (CI): 1.01-1.09; OR = 2.01, 95% CI: 1.15-3.50, respectively) and low levels of high-density lipoprotein cholesterol (OR = 1.04, 95% CI: 1.00-1.07; OR = 1.63, 95% CI: 1.01-2.94, respectively). PFOS and 6:2 Cl-PFESA were associated with an increased risk of hypercholesterolemia (OR = 1.12, 95% CI: 1.02-1.23; OR = 1.27, 95% CI: 1.05-1.54, respectively). Furthermore, significant joint effects of PFAS mixture exposure were observed on the risk of dyslipidemia, hypertriglyceridemia, and hypercholesterolemia, respectively. Dose-response analyses revealed predominantly linear relationships between most PFAS concentrations and dyslipidemia and its subtypes. Exceptions included significant nonlinear relationships for PFOA, PFNA, and PFOS with dyslipidemia; for 6:2 Cl-PFESA with hypercholesterolemia; and for PFOA and PFNA with hypertriglyceridemia. Taken together, these findings suggest that exposure to specific PFAS may contribute to endocrine disruption and increase the risk of dyslipidemia in a compound and subtype-specific manner. This study provides novel epidemiological evidence by simultaneously delineating the distinct and joint effects of multiple PFAS on dyslipidemia phenotypes and the TyG index. Our findings underscore the utility of the TyG index as a potential predictive indicator and highlight the importance of considering complex exposure patterns and nonlinear relationships in assessing the cardiometabolic risks of PFAS.

Indexed as

dyslipidemiahigh-density lipoprotein cholesterolhypercholesterolemiahypertriglyceridemiaPFASTyG index

Identifiers

PMID42483594
PMCPMC13386380

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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.