Literature DB >> 32087483

Probabilistic human health risk assessment of perfluorooctane sulfonate (PFOS) by integrating in vitro, in vivo toxicity, and human epidemiological studies using a Bayesian-based dose-response assessment coupled with physiologically based pharmacokinetic (PBPK) modeling approach.

Wei-Chun Chou1, Zhoumeng Lin2.   

Abstract

BACKGROUND: Environmental exposure to perfluorooctane sulfonate (PFOS) is associated with various adverse outcomes in humans. However, risk assessment for PFOS with the traditional risk estimation method is faced with multiple challenges because there are high variabilities and uncertainties in its toxicokinetics and toxicity between species and among different types of studies.
OBJECTIVES: This study aimed to develop a robust probabilistic risk assessment framework accounting for interspecies and inter-experiment variabilities and uncertainties to derive the human equivalent dose (HED) and reference dose for PFOS.
METHODS: A Bayesian dose-response model was developed to analyze selected 34 critical studies, including human epidemiological, animal in vivo, and ToxCast in vitro toxicity datasets. The dose-response results were incorporated into a multi-species physiologically based pharmacokinetic (PBPK) model to reduce the toxicokinetic/toxicodynamic variabilities. In addition, a population-based probabilistic risk assessment of PFOS was performed for Asian, Australian, European, and North American populations, respectively, based on reported environmental exposure levels.
RESULTS: The 5th percentile of HEDs derived from selected studies was estimated to be 21.5 (95% CI: 10.6-36.3) ng/kg/day. After exposure to environmental levels of PFOS, around 50% of the population in all studied populations would likely have >20% of increase in serum cholesterol, but the effects on other endpoints were estimated to be minimal (<10% changes). There was a small population (~10% of the population) that was highly sensitive to endocrine disruption and cellular response by environmental PFOS exposure.
CONCLUSION: Our results provide insights into a complete risk characterization of PFOS and may help regulatory agencies in the reevaluation of PFOS risk. Our new probabilistic approach can conduct dose-response analysis of different types of toxicity studies simultaneously and this method could be used to improve risk assessment for other perfluoroalkyl substances (PFAS).
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Dose-response analysis; Interspecies extrapolation; Perfluoroalkyl substances (PFAS); Perfluorooctane sulfonate (PFOS); Physiologically based pharmacokinetic (PBPK) modeling; Risk assessment

Year:  2020        PMID: 32087483     DOI: 10.1016/j.envint.2020.105581

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


  6 in total

1.  Commentary: cumulative risk assessment of perfluoroalkyl carboxylic acids and perfluoralkyl sulfonic acids: what is the scientific support for deriving tolerable exposures by assembling 27 PFAS into 1 common assessment group?

Authors:  Thomas Colnot; Wolfgang Dekant
Journal:  Arch Toxicol       Date:  2022-08-17       Impact factor: 6.168

Review 2.  Immunomodulation and exposure to per- and polyfluoroalkyl substances: an overview of the current evidence from animal and human studies.

Authors:  Evangelia Antoniou; Thomas Colnot; Maurice Zeegers; Wolfgang Dekant
Journal:  Arch Toxicol       Date:  2022-06-13       Impact factor: 6.168

3.  Development of a Gestational and Lactational Physiologically Based Pharmacokinetic (PBPK) Model for Perfluorooctane Sulfonate (PFOS) in Rats and Humans and Its Implications in the Derivation of Health-Based Toxicity Values.

Authors:  Wei-Chun Chou; Zhoumeng Lin
Journal:  Environ Health Perspect       Date:  2021-03-17       Impact factor: 9.031

Review 4.  Probabilistic risk assessment - the keystone for the future of toxicology.

Authors:  Alexandra Maertens; Emily Golden; Thomas H Luechtefeld; Sebastian Hoffmann; Katya Tsaioun; Thomas Hartung
Journal:  ALTEX       Date:  2022       Impact factor: 6.250

5.  An Interactive Generic Physiologically Based Pharmacokinetic (igPBPK) Modeling Platform to Predict Drug Withdrawal Intervals in Cattle and Swine: A Case Study on Flunixin, Florfenicol, and Penicillin G.

Authors:  Wei-Chun Chou; Lisa A Tell; Ronald E Baynes; Jennifer L Davis; Fiona P Maunsell; Jim E Riviere; Zhoumeng Lin
Journal:  Toxicol Sci       Date:  2022-07-28       Impact factor: 4.109

Review 6.  Per- and Polyfluoroalkyl Substance Toxicity and Human Health Review: Current State of Knowledge and Strategies for Informing Future Research.

Authors:  Suzanne E Fenton; Alan Ducatman; Alan Boobis; Jamie C DeWitt; Christopher Lau; Carla Ng; James S Smith; Stephen M Roberts
Journal:  Environ Toxicol Chem       Date:  2020-12-07       Impact factor: 4.218

  6 in total

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