Serum per- and polyfluoroalkyl substances and abnormal lipid metabolism: A nationally representative cross-sectional study

被引:45
作者
Wu, Bing [1 ]
Pan, Yitao [2 ]
Li, Zheng [1 ]
Wang, Jinghua [2 ]
Ji, Saisai [1 ]
Zhao, Feng [1 ]
Chang, Xiaochen [2 ]
Qu, Yingli [1 ]
Zhu, Yuanduo [1 ]
Xie, Linna [1 ]
Li, Yawei [1 ]
Zhang, Zheng [1 ,3 ]
Song, Haocan [1 ]
Hu, Xiaojian [1 ]
Qiu, Yidan [1 ,4 ,5 ]
Zheng, Xulin [1 ,3 ]
Zhang, Wenli [1 ]
Yang, Yanwei [1 ]
Gu, Heng [1 ]
Li, Fangyu [1 ]
Cai, Jiayi [1 ]
Zhu, Ying [1 ]
Cao, Zhaojin [1 ]
Ji, John S. [6 ]
Lv, Yuebin [1 ]
Dai, Jiayin [2 ,3 ,8 ]
Shi, Xiaoming [1 ,3 ,7 ]
机构
[1] Chinese Ctr Dis Control & Prevent, Natl Inst Environm Hlth, China CDC Key Lab Environm & Populat Hlth, Beijing, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Environm Sci & Engn, State Environm Protect Key Lab Environm Hlth Impac, Shanghai, Peoples R China
[3] Nanjing Med Univ, Ctr Global Hlth, Sch Publ Hlth, Nanjing, Peoples R China
[4] Zhejiang Univ, Inst Environm Hlth, Sch Publ Hlth, Hangzhou, Zhejiang, Peoples R China
[5] Zhejiang Univ, Sch Med, Bioelectromagnet Lab, Hangzhou, Zhejiang, Peoples R China
[6] Tsinghua Univ, Vanke Sch Publ Hlth, Beijing, Peoples R China
[7] 7 Panjiayuan Nanli, Beijing 100021, Peoples R China
[8] 800 Dongchuan Rd, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Per-and polyfluoroalkyl substances (PFAS); Emerging per-; polyfluoroalkyl substances; Lipid profiles; Dyslipidemia; China National Human Biomonitoring; PERFLUOROOCTANOIC ACID; PERFLUOROALKYL SUBSTANCES; ASSOCIATIONS; EXPOSURE; HEALTH; RISK; TRIGLYCERIDES; CHOLESTEROL; ALBUMIN; GLUCOSE;
D O I
10.1016/j.envint.2023.107779
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: The associations of legacy per- and polyfluoroalkyl substances (PFAS) with lipid metabolism are controversial, and there is little information about the impact of emerging PFAS (6:2 Cl-PFESA) on lipid metabolism in China. Objectives: We aimed to explore the associations of legacy and emerging PFAS with lipid profiles and dyslipidemia in Chinese adults. Methods: We included 10,855 Chinese participants aged 18 years and above in the China National Human Biomonitoring. The associations of 8 PFAS with 5 lipid profiles and 4 dyslipidemia were investigated using weighted multiple linear regression or weighted logistic regression, and the dose-response associations were investigated using restricted cubic spline model. Results: Among the 8 PFAS, the concentration of PFOS was the highest, with a geometric mean of 5.15 ng/mL, followed by PFOA and 6:2 Cl-PFESA, which were 4.26 and 1.63 ng/mL, respectively. Legacy (PFOA, PFOS, PFUnDA) or emerging (6:2 Cl-PFESA) PFAS were associated with lipid profiles (TC, LDL-C, HDL-C, non HDL-C) and dyslipidemia (high LDL-C, high TC, low HDL-C), and their effects on TC were most obvious. TC concentration increased by 0.595 mmol/L in the highest quartile (Q4) of PFOS when compared with the lowest quartile (Q1), (95 % CI:0.396, 0.794). Restricted cubic spline models showed that PFAS are nonlinearly associated with TC, non HDL-C, LDL-C and HDL-C, and that the lipid concentrations tend to be stable when PFOS and PFOA were > 20 ng/mL well as when the 6:2 Cl-PFESA level was > 10 ng/mL. The positive associations between PFAS mixtures and lipid profiles were also significant. Conclusions: Single and mixed exposure to PFAS were positively associated with lipid profiles, and China's unique legacy PFAS substitutes (6:2 Cl-PFESA) contributed less to lipid profiles than legacy PFAS. In the future, cohort studies will be needed to confirm our findings.
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页数:12
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