Serum per- and polyfluoroalkyl substances and abnormal lipid metabolism: A nationally representative cross-sectional study
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 eme...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | Environment International |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412023000521 |
| _version_ | 1828012615305003008 |
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| author | Bing Wu Yitao Pan Zheng Li Jinghua Wang Saisai Ji Feng Zhao Xiaochen Chang Yingli Qu Yuanduo Zhu Linna Xie Yawei Li Zheng Zhang Haocan Song Xiaojian Hu Yidan Qiu Xulin Zheng Wenli Zhang Yanwei Yang Heng Gu Fangyu Li Jiayi Cai Ying Zhu Zhaojin Cao John S.Ji Yuebin Lv Jiayin Dai Xiaoming Shi |
| author_facet | Bing Wu Yitao Pan Zheng Li Jinghua Wang Saisai Ji Feng Zhao Xiaochen Chang Yingli Qu Yuanduo Zhu Linna Xie Yawei Li Zheng Zhang Haocan Song Xiaojian Hu Yidan Qiu Xulin Zheng Wenli Zhang Yanwei Yang Heng Gu Fangyu Li Jiayi Cai Ying Zhu Zhaojin Cao John S.Ji Yuebin Lv Jiayin Dai Xiaoming Shi |
| author_sort | Bing Wu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T09:34:27Z |
| format | Article |
| id | doaj.art-96c55376d58a4e7fb8abcb98f48ebe9f |
| institution | Directory Open Access Journal |
| issn | 0160-4120 |
| language | English |
| last_indexed | 2024-04-10T09:34:27Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environment International |
| spelling | doaj.art-96c55376d58a4e7fb8abcb98f48ebe9f2023-02-18T04:16:20ZengElsevierEnvironment International0160-41202023-02-01172107779Serum per- and polyfluoroalkyl substances and abnormal lipid metabolism: A nationally representative cross-sectional studyBing Wu0Yitao Pan1Zheng Li2Jinghua Wang3Saisai Ji4Feng Zhao5Xiaochen Chang6Yingli Qu7Yuanduo Zhu8Linna Xie9Yawei Li10Zheng Zhang11Haocan Song12Xiaojian Hu13Yidan Qiu14Xulin Zheng15Wenli Zhang16Yanwei Yang17Heng Gu18Fangyu Li19Jiayi Cai20Ying Zhu21Zhaojin Cao22John S.Ji23Yuebin Lv24Jiayin Dai25Xiaoming Shi26China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaState Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaState Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaState Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Institute of Environmental Health, School of Public Health, and Bioelectromagnetics Laboratory, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaVanke School of Public Health, Tsinghua University, Beijing, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaState Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Corresponding authors at: No. 7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China (X. Shi). 800 Dongchuan Road, Shanghai 200240, China (J. Dai).China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Corresponding authors at: No. 7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China (X. Shi). 800 Dongchuan Road, Shanghai 200240, China (J. Dai).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.http://www.sciencedirect.com/science/article/pii/S0160412023000521Per- and polyfluoroalkyl substances (PFAS)Emerging per-/polyfluoroalkyl substancesLipid profilesDyslipidemiaChina National Human Biomonitoring |
| spellingShingle | Bing Wu Yitao Pan Zheng Li Jinghua Wang Saisai Ji Feng Zhao Xiaochen Chang Yingli Qu Yuanduo Zhu Linna Xie Yawei Li Zheng Zhang Haocan Song Xiaojian Hu Yidan Qiu Xulin Zheng Wenli Zhang Yanwei Yang Heng Gu Fangyu Li Jiayi Cai Ying Zhu Zhaojin Cao John S.Ji Yuebin Lv Jiayin Dai Xiaoming Shi Serum per- and polyfluoroalkyl substances and abnormal lipid metabolism: A nationally representative cross-sectional study Environment International Per- and polyfluoroalkyl substances (PFAS) Emerging per-/polyfluoroalkyl substances Lipid profiles Dyslipidemia China National Human Biomonitoring |
| title | Serum per- and polyfluoroalkyl substances and abnormal lipid metabolism: A nationally representative cross-sectional study |
| title_full | Serum per- and polyfluoroalkyl substances and abnormal lipid metabolism: A nationally representative cross-sectional study |
| title_fullStr | Serum per- and polyfluoroalkyl substances and abnormal lipid metabolism: A nationally representative cross-sectional study |
| title_full_unstemmed | Serum per- and polyfluoroalkyl substances and abnormal lipid metabolism: A nationally representative cross-sectional study |
| title_short | Serum per- and polyfluoroalkyl substances and abnormal lipid metabolism: A nationally representative cross-sectional study |
| title_sort | serum per and polyfluoroalkyl substances and abnormal lipid metabolism a nationally representative cross sectional study |
| topic | Per- and polyfluoroalkyl substances (PFAS) Emerging per-/polyfluoroalkyl substances Lipid profiles Dyslipidemia China National Human Biomonitoring |
| url | http://www.sciencedirect.com/science/article/pii/S0160412023000521 |
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