Drinking Water-Associated PFAS and Fluoroethers and Lipid Outcomes in the GenX Exposure Study.
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| Title: | Drinking Water-Associated PFAS and Fluoroethers and Lipid Outcomes in the GenX Exposure Study. |
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| Authors: | Rosen, Emma M.1, Kotlarz, Nadine2,3,4, Knappe, Detlef R. U.2,4, Lea, C. Suzanne4,5, Collier, David N.4,6, Richardson, David B.1,7, Hoppin, Jane A.3,4 jahoppin@ncsu.edu |
| Source: | Environmental Health Perspectives. Sep2022, Vol. 130 Issue 9, p097002-1-097002-9. 9p. 5 Charts, 1 Graph. |
| Subject Terms: | *Pollutants, *Water, *Fluorocarbons, *Environmental exposure, Triglycerides, Statistics, Confidence intervals, Cross-sectional method, Age distribution, LDL cholesterol, Regression analysis, Descriptive statistics, Questionnaires, High density lipoproteins, Data analysis software, Lipids, Cholesterol |
| Geographic Terms: | North Carolina |
| Abstract: | BACKGROUND: Residents of Wilmington, North, Carolina, were exposed to drinking water contaminated by fluoroethers and legacy per- and polyfluoroalkyl substances (PFAS), such as perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS), with fluoroether exposure occurring from 1980 to 2017. PFOA and PFOS have previously been associated with metabolic dysfunction; however, few prior studies have examined associations between other PFAS and lipid levels. OBJECTIVES: We measured the association between serum fluoroether and legacy PFAS levels and various cholesterol outcomes. METHODS: Participants in the GenX Exposure Study contributed nonfasting blood samples in November 2017 and May 2018 that were analyzed for 20 PFAS (10 legacy, 10 fluoroethers) and serum lipids [total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides] and calculated non-HDL cholesterol. We estimated covariate-adjusted associations between quartiles of exposure to each of the PFAS measures (as well as the summed concentrations of legacy PFAS, fluoroethers, and all 10 targeted PFAS) and lipid outcomes by fitting inverse probability of treatment weighted linear regressions. RESULTS: In this cross-sectional study of 326 participants (age range 6–86 y), eight PFAS were detected in >50% of the population. For PFOS and perfluorononanoic acid (PFNA), non-HDL cholesterol was approximately 5 mg/dL higher per exposure quartile increase: [PFOS: 4.89; 95% confidence interval (CI): 0.10, 9.68 and PFNA: 5.25 (95% CI: 0.39, 10.1)], whereas total cholesterol was approximately 6 mg/dL higher per quartile [PFOS: 5.71 (95% CI: 0.38, 11.0), PFNA: 5.92 (95% CI: 0.19, 11.7)]. In age-stratified analyses, associations were strongest among the oldest participants. Two fluoroethers were associated with higher HDL, whereas other fluoroether compounds were not associated with serum lipid levels. DISCUSSION: PFNA and PFOS were associated with higher levels of total and non-HDL cholesterol, with associations larger in magnitude among older adults. In the presence of these legacy PFAS, fluoroethers appeared to be associated with HDL but not non-HDL lipid measures. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 159613021 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Drinking Water-Associated PFAS and Fluoroethers and Lipid Outcomes in the GenX Exposure Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rosen%2C+Emma+M%2E%22">Rosen, Emma M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kotlarz%2C+Nadine%22">Kotlarz, Nadine</searchLink><relatesTo>2,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Knappe%2C+Detlef+R%2E+U%2E%22">Knappe, Detlef R. U.</searchLink><relatesTo>2,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Lea%2C+C%2E+Suzanne%22">Lea, C. Suzanne</searchLink><relatesTo>4,5</relatesTo><br /><searchLink fieldCode="AR" term="%22Collier%2C+David+N%2E%22">Collier, David N.</searchLink><relatesTo>4,6</relatesTo><br /><searchLink fieldCode="AR" term="%22Richardson%2C+David+B%2E%22">Richardson, David B.</searchLink><relatesTo>1,7</relatesTo><br /><searchLink fieldCode="AR" term="%22Hoppin%2C+Jane+A%2E%22">Hoppin, Jane A.</searchLink><relatesTo>3,4</relatesTo><i> jahoppin@ncsu.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Health+Perspectives%22">Environmental Health Perspectives</searchLink>. Sep2022, Vol. 130 Issue 9, p097002-1-097002-9. 9p. 5 Charts, 1 Graph. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Pollutants%22">Pollutants</searchLink><br />*<searchLink fieldCode="DE" term="%22Water%22">Water</searchLink><br />*<searchLink fieldCode="DE" term="%22Fluorocarbons%22">Fluorocarbons</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+exposure%22">Environmental exposure</searchLink><br /><searchLink fieldCode="DE" term="%22Triglycerides%22">Triglycerides</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22LDL+cholesterol%22">LDL cholesterol</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22High+density+lipoproteins%22">High density lipoproteins</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Lipids%22">Lipids</searchLink><br /><searchLink fieldCode="DE" term="%22Cholesterol%22">Cholesterol</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22North+Carolina%22">North Carolina</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: BACKGROUND: Residents of Wilmington, North, Carolina, were exposed to drinking water contaminated by fluoroethers and legacy per- and polyfluoroalkyl substances (PFAS), such as perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS), with fluoroether exposure occurring from 1980 to 2017. PFOA and PFOS have previously been associated with metabolic dysfunction; however, few prior studies have examined associations between other PFAS and lipid levels. OBJECTIVES: We measured the association between serum fluoroether and legacy PFAS levels and various cholesterol outcomes. METHODS: Participants in the GenX Exposure Study contributed nonfasting blood samples in November 2017 and May 2018 that were analyzed for 20 PFAS (10 legacy, 10 fluoroethers) and serum lipids [total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides] and calculated non-HDL cholesterol. We estimated covariate-adjusted associations between quartiles of exposure to each of the PFAS measures (as well as the summed concentrations of legacy PFAS, fluoroethers, and all 10 targeted PFAS) and lipid outcomes by fitting inverse probability of treatment weighted linear regressions. RESULTS: In this cross-sectional study of 326 participants (age range 6–86 y), eight PFAS were detected in >50% of the population. For PFOS and perfluorononanoic acid (PFNA), non-HDL cholesterol was approximately 5 mg/dL higher per exposure quartile increase: [PFOS: 4.89; 95% confidence interval (CI): 0.10, 9.68 and PFNA: 5.25 (95% CI: 0.39, 10.1)], whereas total cholesterol was approximately 6 mg/dL higher per quartile [PFOS: 5.71 (95% CI: 0.38, 11.0), PFNA: 5.92 (95% CI: 0.19, 11.7)]. In age-stratified analyses, associations were strongest among the oldest participants. Two fluoroethers were associated with higher HDL, whereas other fluoroether compounds were not associated with serum lipid levels. DISCUSSION: PFNA and PFOS were associated with higher levels of total and non-HDL cholesterol, with associations larger in magnitude among older adults. In the presence of these legacy PFAS, fluoroethers appeared to be associated with HDL but not non-HDL lipid measures. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1289/EHP11033 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 097002-1 Subjects: – SubjectFull: Pollutants Type: general – SubjectFull: Water Type: general – SubjectFull: Fluorocarbons Type: general – SubjectFull: Environmental exposure Type: general – SubjectFull: Triglycerides Type: general – SubjectFull: Statistics Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Age distribution Type: general – SubjectFull: LDL cholesterol Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: High density lipoproteins Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Lipids Type: general – SubjectFull: Cholesterol Type: general – SubjectFull: North Carolina Type: general Titles: – TitleFull: Drinking Water-Associated PFAS and Fluoroethers and Lipid Outcomes in the GenX Exposure Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rosen, Emma M. – PersonEntity: Name: NameFull: Kotlarz, Nadine – PersonEntity: Name: NameFull: Knappe, Detlef R. U. – PersonEntity: Name: NameFull: Lea, C. Suzanne – PersonEntity: Name: NameFull: Collier, David N. – PersonEntity: Name: NameFull: Richardson, David B. – PersonEntity: Name: NameFull: Hoppin, Jane A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 00916765 Numbering: – Type: volume Value: 130 – Type: issue Value: 9 Titles: – TitleFull: Environmental Health Perspectives Type: main |
| ResultId | 1 |