Associations between serum per- and polyfluoroalkyl substances as mixtures and lipid levels : A cross-sectional study in Jinan

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Per- and polyfluoroalkyl substances (PFASs) are known to be linked with dyslipidemia. Between March and June 2022, we collected 575 fasting serum samples from individuals without occupational exposure in Jinan, China. Eighteen PFASs were analyzed using UHPLC-Orbitrap MS. Multiple linear regression (MLR), Bayesian kernel machine regression (BKMR), and Quantile g-computation (QGC) models were utilized to assess the effects of both individual PFAS and PFAS mixtures on serum lipid levels, including triglycerides (TG), cholesterol (CHO), high-density lipoprotein (HDL), and low-density lipoprotein (LDL). The PFAS mixture, composed of perfluoroheptanoic acid (PFHpA), perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluoroundecanoic acid (PFUnDA), perfluorododecanoic acid (PFDoDA), perfluorotridecanoic acid (PFTrDA), perfluorohexane sulfonate (PFHxS), perfluoroheptane sulfonic acid (PFHpS), perfluorooctane sulfonate (PFOS), and 6:2 chlorinated polyfluoroalkyl ether sulfonate (6:2 Cl-PFESA), showed a positive association with CHO and LDL levels, while no distinct trend was noted in HDL and TG levels about changes in PFAS mixtures levels in BKMR and QGC models, adjusted for gender, age, BMI, occupation, and educational level. The effects of individual PFASs on lipid levels were in general consistent across MLR, BKMR and QGC models. PFUnDA and PFTrDA demonstrated greater impacts on blood lipid levels compared to other PFAS, albeit with varied directional effects. Age-stratified analysis revealed PFAS mixture effect was more pronounced in participants aged higher than 40. No obvious trend in lipid levels with changes in PFAS mixture levels in participants with age ranged from 18 to 40, while positive association between PFAS mixture and CHO and LDL was detected in participants aged higher than 40.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:923

Enthalten in:

The Science of the total environment - 923(2024) vom: 01. März, Seite 171305

Sprache:

Englisch

Beteiligte Personen:

Liu, Yi [VerfasserIn]
Zhang, Haoyu [VerfasserIn]
Xu, Fei [VerfasserIn]
Zhang, Xiaozhen [VerfasserIn]
Zhao, Nan [VerfasserIn]
Ding, Lei [VerfasserIn]

Links:

Volltext

Themen:

Alkanesulfonic Acids
Bayesian kernel machine regression
Environmental Pollutants
Fatty Acids
Fluorocarbons
Journal Article
Lipid levels
Lipids
Mixture/joint effects
PFASs
Perfluorotridecanoic acid
Perfluoroundecanoic acid
Quantile g-computation

Anmerkungen:

Date Completed 27.03.2024

Date Revised 27.03.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.scitotenv.2024.171305

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369132394