Environmental exposure to per- and polyfluoroalkyl substances and childhood congenital heart disease

A mixed analysis

Dados Bibliográficos

ID22073105
AutoresXianting Jiao (0009-0003-2801-3196, XinHua Hospital), Liqing Zhao (0000-0002-8268-4770, Shanghai Jiao Tong University), Yuejuan Xu (0000-0002-5716-2284, Shanghai Jiao Tong University), Jiawei Gao (0000-0003-4432-1132, Shanghai Jiao Tong University), Weifeng Tang (0000-0002-4157-4057), Wei‐Feng Tang (0000-0003-2143-920X, Shanghai Jiao Tong University), Yurong Wu (Shanghai Jiao Tong University), Ling Yang (0000-0001-5750-6588, Shanghai Jiao Tong University), Jihong Huang (0000-0001-7668-3010, Shanghai Jiao Tong University), Yi Guo (0000-0001-8622-2314, Shanghai First Maternity and Infant Hospital), Kun Sun (0000-0001-9766-269X, Shanghai Jiao Tong University), Chen Sun (0000-0002-6783-9631, Shanghai Jiao Tong University, autor correspondente), Sun Chen
Ano2025
Volume13
Páginas1657168-1657168
Data de publicação2025-11-27
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Public Health (JOURNAL)
Identificadores do periódicoISSN: 2296-2565 • E-ISSN: 2296-2565
EditoraFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1657168
PMID41393011
OpenAlexW4416771863
IdiomaEN
Referências citadas42

Background: Per- and polyfluoroalkyl substances (PFAS) exposure is associated with various health risks. However, limited research has explored their potential connection with congenital heart disease (CHD). Objective: This study aimed to investigate the relationship between different types of PFAS and childhood CHD using a mixed analysis approach. Methods: A hospital-based case-control study was conducted involving 282 children with CHD and 282 control participants. Plasma samples were analyzed for 19 PFAS congeners. Logistic regression, Bayesian kernel-machine regression (BKMR), and weighted quantile sum (WQS) models were employed to assess the association between individual PFAS and PFAS mixtures with CHD risk. Results: Analysis of 564 subjects revealed higher plasma concentrations of various PFAS compounds in the CHD-group. Logistic regression identified significant associations between CHD risk and specific PFAS, notably 6:2 Chlorinated polyfluoroalkyl ether sulfonic acid (6:2 Cl-PFESA) (OR = 1.65; 95%CI: 1.40-1.94), 8:2 8:2 Cl-PFESA (OR = 1.69; 95%CI: 1.69-2.19), Perfluorobutanoic acid (PFBA) (OR = 2.68; 95%CI: 2.28-3.15), Perfluorobutane sulfonic acid (PFBS) (OR = 2.38; 95%CI: 1.77-3.22), Perfluorohexanoic acid (PFHxA) (OR = 2.62; 95%CI: 1.99-3.45), and Perfluorotetradecanoic acid (PFTeDA) (OR = 2.18; 95%CI: 1.81-2.63). BKMR analysis confirmed these findings. WQS analysis emphasized PFBA, 8:2 Cl-PFESA, PFHxA, and PFTeDA as key contributors to the association between PFAS mixture exposure and CHD risk. Conclusion: Exposure to PFAS mixtures was associated with an increased risk of CHD in children, with 6:2 Cl-PFESA, 8:2 ClPFESA, PFBA, PFHxA, and PFTeDA playing significant roles

Air pollutants · Health risk · Heart disease · Inhalation exposure · Prenatal exposure · Risk assessment · Effects and risks of endocrine disrupting chemicals · Per- and polyfluoroalkyl substances research · Toxic Organic Pollutants Impact