Exposure to perfluoroalkyl and polyfluoroalkyl substances and estimated glomerular filtration rate in adults: a cross-sectional study based on NHANES (2017–2018)

• Published in: Environmental science and pollution research international Vol. 30; no. 20; pp. 57931 - 57944
• Main Authors: Liang, Yufen, Zhou, Han, Zhang, Jiachen, Li, Shuangjing, Shen, Weitong, Lei, Lijian
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2023; Springer Nature B.V
• Subjects: Acids; Adult; Alkanesulfonates; Alkanesulfonic Acids; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Bayes Theorem; Bayesian analysis; Bayesian theory; Cross-Sectional Studies; Earth and Environmental Science; Ecotoxicology; Environment; Environmental Chemistry; Environmental Health; Environmental Pollutants - adverse effects; Environmental risk; Environmental science; Epidermal growth factor receptors; Exposure; Fluorocarbons; Glomerular Filtration Rate; Humans; Mathematical models; National Health and Nutrition Examination Survey; Nutrition Surveys; people; Perfluoro compounds; Perfluoroalkyl & polyfluoroalkyl substances; Perfluorochemicals; Perfluorodecanoic acid; Perfluorohexane; perfluorohexane sulfonic acid; perfluorononanoic acid; Perfluorooctane sulfonic acid; Perfluorooctanoic acid; Regression analysis; Renal function; Research Article; risk; Risk factors; Sulfonates; Waste Water Technology; Water Management; Water Pollution Control; Bayesian kernel machine regression; Adults; Perfluoroalkyl and polyfluoroalkyl substances; National Health and Nutrition Examination Survey; Estimated glomerular filtration rate; Overall effect
• ISSN: 1614-7499; 0944-1344; 1614-7499
• DOI: 10.1007/s11356-023-26384-9

Perfluoroalkyl and polyfluoroalkyl substances (PFASs) may be important environmental risk factors affecting renal function. This study aimed to investigate the relationships between PFASs and estimated glomerular filtration rate (eGFR) in univariate exposure and multivariate co-exposure models of PFASs. A total of 1700 people over 18 years from National Health and Nutrition Examination Survey (NHANES) in 2017–2018 were selected as subjects to explore the relationships between eGFR and six PFASs (perfluorooctanoic acid (PFOA), perfluorooctane sulfonate (PFOS), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFUA), perfluorodecanoic acid (PFDeA), and perfluorohexane sulfonate (PFHxS)). First, multiple linear regression was used to estimate the association of each PFAS with eGFR, and the joint effect of PFAS mixtures was evaluated by Bayesian kernel machine regression (BKMR). Multiple linear regression analysis showed PFOS ( β  =  − 0.246, p  = 0.026) and PFHxS ( β  = 0.538, p  = 0.049) were significantly associated with eGFR in total population. In BKMR analysis, there was joint effect between PFOS and PFHxS for eGFR. And there were the joint effects of multiple PFAS on eGFR, especially the significant joint effect between PFHxS and PFDeA/PFNA/PFUA. Future cohort studies need to explore the association of multiple PFASs and health.