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

被引:6
作者
Liu, Yi [1 ]
Zhang, Haoyu [2 ]
Xu, Fei [2 ]
Zhang, Xiaozhen [3 ]
Zhao, Nan [3 ]
Ding, Lei [2 ]
机构
[1] Shandong Univ, Sch Publ Hlth, Jinan 250012, Peoples R China
[2] Shandong Univ, Environm Res Inst, Qingdao 266237, Peoples R China
[3] Shandong Univ, Sch Environm Sci & Engn, Qingdao 266237, Peoples R China
基金
中国国家自然科学基金;
关键词
PFASs; Lipid levels; Bayesian kernel machine regression; Quantile g-computation; Mixture/joint effects; POLYFLUORINATED ETHER SULFONATES; ACTIVATED RECEPTOR-ALPHA; PERFLUOROALKYL ACIDS; EXPOSURE; MOUSE; PFAS; CLASSIFICATION;
D O I
10.1016/j.scitotenv.2024.171305
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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), highdensity 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.
引用
收藏
页数:11
相关论文
共 73 条
  • [1] Perfluorooctanoic acid-induced developmental toxicity in the mouse is dependent on expression of peroxisome proliferator-activated receptor-alpha
    Abbott, Barbara D.
    Wolf, Cynthia J.
    Schmid, Judith E.
    Das, Kaberi P.
    Zehr, Robert D.
    Helfant, Laurence
    Nakayama, Shoji
    Lindstrom, Andrew B.
    Strynar, Mark J.
    Lau, Christopher
    [J]. TOXICOLOGICAL SCIENCES, 2007, 98 (02) : 571 - 581
  • [2] ATSDR, 2021, Toxicological profile for Perfluoroalkyls, P852
  • [3] ATSDR, 2020, Perand Polyfluoroalkyl Substances (PFAS) and Your Health
  • [4] Perfluoroalkyl substance mixtures and cardio-metabolic outcomes in highly exposed male workers in the Veneto Region: A mixture-based approach
    Batzella, Erich
    Girardi, Paolo
    Russo, Francesca
    Pitter, Gisella
    Da Re, Filippo
    Fletcher, Tony
    Canova, Cristina
    [J]. ENVIRONMENTAL RESEARCH, 2022, 212
  • [5] Early-life associations between per- and polyfluoroalkyl substances and serum lipids in a longitudinal birth cohort
    Blomberg, Annelise J.
    Shih, Yu-Hsuan
    Messerlian, Carmen
    Jorgensen, Louise Helskov
    Weihe, Pal
    Grandjean, Philippe
    [J]. ENVIRONMENTAL RESEARCH, 2021, 200
  • [6] Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression
    Bobb, Jennifer F.
    Henn, Birgit Claus
    Valeri, Linda
    Coull, Brent A.
    [J]. ENVIRONMENTAL HEALTH, 2018, 17
  • [7] Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures
    Bobb, Jennifer F.
    Valeri, Linda
    Claus Henn, Birgit
    Christiani, David C.
    Wright, Robert O.
    Mazumdar, Maitreyi
    Godleski, John J.
    Coull, Brent A.
    [J]. BIOSTATISTICS, 2015, 16 (03) : 493 - 508
  • [8] Identification and classification of commercially relevant per- and poly-fluoroalkyl substances (PFAS)
    Buck, Robert C.
    Korzeniowski, Stephen H.
    Laganis, Evan
    Adamsky, Frank
    [J]. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT, 2021, 17 (05) : 1045 - 1055
  • [9] Buck Robert C., 2011, Integrated Environmental Assessment and Management, V7, P513, DOI 10.1002/ieam.258
  • [10] The applicability of biomonitoring data for perfluorooctanesulfonate to the environmental public health continuum
    Butenhoff, John L.
    Olsen, Geary W.
    Pfahles-Hutchens, Andrea
    [J]. ENVIRONMENTAL HEALTH PERSPECTIVES, 2006, 114 (11) : 1776 - 1782