PMID- 38423340
OWN - NLM
STAT- MEDLINE
DCOM- 20240327
LR  - 20240327
IS  - 1879-1026 (Electronic)
IS  - 0048-9697 (Linking)
VI  - 923
DP  - 2024 May 1
TI  - Associations between serum per- and polyfluoroalkyl substances as mixtures and 
      lipid levels: A cross-sectional study in Jinan.
PG  - 171305
LID - S0048-9697(24)01444-X [pii]
LID - 10.1016/j.scitotenv.2024.171305 [doi]
AB  - 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.
CI  - Copyright (c) 2024 Elsevier B.V. All rights reserved.
FAU - Liu, Yi
AU  - Liu Y
AD  - School of Public Health, Shandong University, Jinan 250012, China.
FAU - Zhang, Haoyu
AU  - Zhang H
AD  - Environmental Research Institute, Shandong University, Qingdao 266237, China.
FAU - Xu, Fei
AU  - Xu F
AD  - Environmental Research Institute, Shandong University, Qingdao 266237, China.
FAU - Zhang, Xiaozhen
AU  - Zhang X
AD  - School of environmental science and engineering, Shandong University, Qingdao 
      266237, China.
FAU - Zhao, Nan
AU  - Zhao N
AD  - School of environmental science and engineering, Shandong University, Qingdao 
      266237, China.
FAU - Ding, Lei
AU  - Ding L
AD  - Environmental Research Institute, Shandong University, Qingdao 266237, China. 
      Electronic address: Lding@sdu.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20240227
PL  - Netherlands
TA  - Sci Total Environ
JT  - The Science of the total environment
JID - 0330500
RN  - 0 (perfluoroundecanoic acid)
RN  - 0 (perfluorotridecanoic acid)
RN  - 0 (Environmental Pollutants)
RN  - 0 (Fluorocarbons)
RN  - 0 (Lipids)
RN  - 0 (Alkanesulfonic Acids)
RN  - 0 (Fatty Acids)
SB  - IM
MH  - Humans
MH  - Aged
MH  - *Environmental Pollutants
MH  - Cross-Sectional Studies
MH  - Bayes Theorem
MH  - *Fluorocarbons
MH  - Lipids
MH  - *Alkanesulfonic Acids
MH  - *Fatty Acids
OTO - NOTNLM
OT  - Bayesian kernel machine regression
OT  - Lipid levels
OT  - Mixture/joint effects
OT  - PFASs
OT  - Quantile g-computation
COIS- Declaration of competing interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2024/03/01 01:22
MHDA- 2024/03/27 06:43
CRDT- 2024/02/29 19:17
PHST- 2023/12/18 00:00 [received]
PHST- 2024/02/24 00:00 [revised]
PHST- 2024/02/25 00:00 [accepted]
PHST- 2024/03/27 06:43 [medline]
PHST- 2024/03/01 01:22 [pubmed]
PHST- 2024/02/29 19:17 [entrez]
AID - S0048-9697(24)01444-X [pii]
AID - 10.1016/j.scitotenv.2024.171305 [doi]
PST - ppublish
SO  - Sci Total Environ. 2024 May 1;923:171305. doi: 10.1016/j.scitotenv.2024.171305. 
      Epub 2024 Feb 27.