Literature DB >> 20236705

Use of simple pharmacokinetic modeling to characterize exposure of Australians to perfluorooctanoic acid and perfluorooctane sulfonic acid.

Jack Thompson1, Matthew Lorber2, Leisa-Maree L Toms3, Kayoko Kato4, Antonia M Calafat4, Jochen F Mueller3.   

Abstract

Perflurooctanoic acid (PFOA) and perfluorooctane sulfonic acid (PFOS) have been used for a variety of applications including fluoropolymer processing, fire-fighting foams and surface treatments since the 1950s. Both PFOS and PFOA are polyfluoroalkyl chemicals (PFCs), man-made compounds that are persistent in the environment and humans; some PFCs have shown adverse effects in laboratory animals. Here we describe the application of a simple one compartment pharmacokinetic model to estimate total intakes of PFOA and PFOS for the general population of urban areas on the east coast of Australia. Key parameters for this model include the elimination rate constants and the volume of distribution within the body. A volume of distribution was calibrated for PFOA to a value of 170ml/kgbw using data from two communities in the United States where the residents' serum concentrations could be assumed to result primarily from a known and characterized source, drinking water contaminated with PFOA by a single fluoropolymer manufacturing facility. For PFOS, a value of 230ml/kgbw was used, based on adjustment of the PFOA value. Applying measured Australian serum data to the model gave mean+/-standard deviation intake estimates of PFOA of 1.6+/-0.3ng/kgbw/day for males and females >12years of age combined based on samples collected in 2002-2003 and 1.3+/-0.2ng/kg bw/day based on samples collected in 2006-2007. Mean intakes of PFOS were 2.7+/-0.5ng/kgbw/day for males and females >12years of age combined based on samples collected in 2002-2003, and 2.4+/-0.5ng/kgbw/day for the 2006-2007 samples. ANOVA analysis was run for PFOA intake and demonstrated significant differences by age group (p=0.03), sex (p=0.001) and date of collection (p<0.001). Estimated intake rates were highest in those aged >60years, higher in males compared to females, and higher in 2002-2003 compared to 2006-2007. The same results were seen for PFOS intake with significant differences by age group (p<0.001), sex (p=0.001) and date of collection (p=0.016).

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Year:  2010        PMID: 20236705     DOI: 10.1016/j.envint.2010.02.008

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  13 in total

1.  PFOS and PFOA in paired urine and blood from general adults and pregnant women: assessment of urinary elimination.

Authors:  Tao Zhang; Hongwen Sun; Xiaolei Qin; Zhiwei Gan; Kurunthachalam Kannan
Journal:  Environ Sci Pollut Res Int       Date:  2014-11-05       Impact factor: 4.223

2.  Perfluoroalkyl acids (PFAAs) in water and sediment from the coastal regions of Shandong peninsula, China.

Authors:  Yi Wan; Shiliang Wang; Xuezhi Cao; Yuanxin Cao; Lu Zhang; Hui Wang; Jinfeng Liu
Journal:  Environ Monit Assess       Date:  2017-02-09       Impact factor: 2.513

3.  Polyfluoroalkyl substance exposure in the Mid-Ohio River Valley, 1991-2012.

Authors:  Robert L Herrick; Jeanette Buckholz; Frank M Biro; Antonia M Calafat; Xiaoyun Ye; Changchun Xie; Susan M Pinney
Journal:  Environ Pollut       Date:  2017-05-13       Impact factor: 8.071

4.  Per- and polyfluoroalkyl substances in human serum and urine samples from a residentially exposed community.

Authors:  Rachel Rogers Worley; Susan McAfee Moore; Bruce C Tierney; Xiaoyun Ye; Antonia M Calafat; Sean Campbell; Million B Woudneh; Jeffrey Fisher
Journal:  Environ Int       Date:  2017-06-20       Impact factor: 9.621

5.  Childhood exposure to per- and polyfluoroalkyl substances (PFAS) and neurobehavioral domains in children at age 8 years.

Authors:  Ann M Vuong; Kimberly Yolton; Changchun Xie; Kim N Dietrich; Joseph M Braun; Glenys M Webster; Antonia M Calafat; Bruce P Lanphear; Aimin Chen
Journal:  Neurotoxicol Teratol       Date:  2021-08-24       Impact factor: 3.763

6.  Computational estimates of daily aggregate exposure to PFOA/PFOS from 2011 to 2017 using a basic intake model.

Authors:  Alexander East; Peter P Egeghy; Elaine A Cohen Hubal; Rachel Slover; Daniel A Vallero
Journal:  J Expo Sci Environ Epidemiol       Date:  2021-08-09       Impact factor: 5.563

7.  Contamination profiles and risk assessment of per- and polyfluoroalkyl substances in groundwater in China.

Authors:  Xiaocui Qiao; Lixin Jiao; Xiaoxia Zhang; Xue Li; Shuran Hao; Minghao Kong; Yan Liu
Journal:  Environ Monit Assess       Date:  2020-01-02       Impact factor: 2.513

8.  Private drinking water wells as a source of exposure to perfluorooctanoic acid (PFOA) in communities surrounding a fluoropolymer production facility.

Authors:  Kate Hoffman; Thomas F Webster; Scott M Bartell; Marc G Weisskopf; Tony Fletcher; Verónica M Vieira
Journal:  Environ Health Perspect       Date:  2010-10-04       Impact factor: 9.031

9.  Occurrence, temporal trends, and half-lives of perfluoroalkyl acids (PFAAs) in occupational workers in China.

Authors:  Jianjie Fu; Yan Gao; Lin Cui; Thanh Wang; Yong Liang; Guangbo Qu; Bo Yuan; Yawei Wang; Aiqian Zhang; Guibin Jiang
Journal:  Sci Rep       Date:  2016-12-01       Impact factor: 4.379

10.  Elevated levels of perfluoroalkyl acids in family members of occupationally exposed workers: the importance of dust transfer.

Authors:  Jianjie Fu; Yan Gao; Thanh Wang; Yong Liang; Aiqian Zhang; Yawei Wang; Guibin Jiang
Journal:  Sci Rep       Date:  2015-03-20       Impact factor: 4.379

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