Evidence mapPaperPMID 41552275Full record

ArticleEco-Environment & Health2026

Serum perfluoroalkyl and polyfluoroalkyl substances and the risk of cardiometabolic diseases: Unraveling the mediating role of inflammatory markers.

Yongbin Zhao, Huijun Wang, Yanzhen Hu, Zongyao Li, Xi Kang, Chang Su, Zhenyu Wu, Tao Zhang, Aidong Liu

Abstract read
In one paragraph

Article in Eco-Environment & Health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

9 authors.

Yongbin ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Huijun WangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Yanzhen HuDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Zongyao LiDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Xi KangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Chang SuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Zhenyu WuDepartment of Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.
Tao ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Aidong LiuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · UNIV OF NORTH CAROLINA CHAPEL HILL · 1999 to 2025
$5.9M
MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · 1994 to 2005
$3.3M
CHILD HEALTH EFFECTS OF RAPID SOCIO-DEMOGRAPHIC CHANGER01HD038700 · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · 2000 to 2004
$1.5M
Carolina Population CenterR24HD050924 · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · 2005 to 2005
$961k
NICHD NIH HHS R01 HD030880NICHD NIH HHS R01 HD038700NICHD NIH HHS R24 HD050924NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

The persistence and biotoxicity of perfluoroalkyl and polyfluoroalkyl substances (PFASs) have raised concerns about cardiometabolic diseases (CMDs). Inflammation is thought to underlie the pathology of various CMDs. We aimed to comprehensively assess the risk of CMDs associated with PFASs and quantify the mediating effects of two kinds of inflammatory markers. Nine PFASs, a direct marker (high-sensitivity C-reactive protein [hs-CRP]), and an indirect marker (serum ferritin [SF]) were analyzed. A total of 12 CMDs of five types were defined based on 15 cardiometabolic biomarkers. The PFAS mixture had significant adverse effects on hypercholesterolemia (HC; OR = 1.20, 95% CI: 1.03-1.39), high low-density lipoprotein cholesterol (high LDL-C; OR = 1.13, 95% CI: 1.01-1.30), hypertension (OR = 1.10, 95% CI: 1.03-1.19), and hyperuricemia (OR = 1.31, 95% CI: 1.16-1.48) in the quantile-based g-computation (QGC) model, with PFNA and PFTrDA contributing the most. PFHxS was found to significantly impact all five types of CMDs simultaneously. The exposure-response analysis exhibited complex nonlinear patterns, with significant heterogeneity across diseases. Both inflammatory markers significantly mediated the effects of multiple PFASs on CMDs, with SF contributing a higher proportion of the mediating effects for obesity, dyslipidemia, and hyperuricemia. The highest mediation proportion reached 85.78% for abdominal obesity (FDR = 0.024). These results suggest that inflammation may serve as a key pathological mechanism linking PFAS exposure to CMDs, highlighting the potential value of SF as an iron status and indirect inflammatory marker in assessing PFAS-related cardiometabolic health risks.

Indexed as

Cardiometabolic diseases (CMDs)High-sensitivity C-Reactive protein (hs-CRP)Inflammatory markersPerfluoroalkyl and polyfluoroalkyl substances (PFASs)Serum ferritin (SF)

Identifiers

PMID41552275
PMCPMC12810535

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.