Insights derived from testing a library of per- and polyfluoroalkyl substances (PFAS) in a battery of new approach methods (NAMs)

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Patlewicz, Grace;Judson, Richard;Friedman, Katie Paul;Wetmore, Barbara A.;DeVito, Michael J.;Harrill, Joshua A.;Carstens, Kelly E.;Houck, Keith A.;Wambaugh, John F.;Padilla, Stephanie;Britton, Katy N.;Shafer, Timothy J.;Degitz, Sigmund;Nyffeler, Jo;Kreutz, Anna;Richard, Ann M.;Williams, Antony J.;Coutros, Katherine;Hornung, Michael W.;Cowden, John;Everett, Logan J.;Willis, Clinton M.;Smeltz, Marci G.;Clifton, M. Scott;Feshuk, Madison;Wall, Jonathan T.;Sayre, Risa R.;Brown, Jason;Thomas, Russell S.

Description

Per- and polyfluoroalkyl substances (PFAS) comprise a large class of human-made chemicals that are in widespread use and present concerns for persistence, bioaccumulation and toxicity. Whilst a handful of PFAS have been characterized for their hazard profiles, the vast majority of PFAS have not been extensively studied. A comprehensive evaluation to characterize the hazard profiles of the thousands of available PFAS would require extensive resources in terms of cost, number of animals and time. An alternative and more efficient approach is to develop a structural chemical categorization approach to prioritize which PFAS or categories of PFAS should be subject to additional study. To that end, the U.S. Environmental Protection Agency (EPA), in collaboration with the National Institute of Environmental Health Sciences (NIEHS) Division of Translational Toxicology (DTT), initiated a research project in 2018 to screen approximately 150 PFAS through a battery of alternative model organisms, in vitro cell and biochemical assays, and in vitro toxico kinetic (TK) assays in order to inform chemical category and read-across approaches. The aim of this review summarizes the experimental testing undertaken, how data were processed, what insights were derived from a category perspective and how these might potentially inform subsequent tiered testing.

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Mentions (0)

Metrics

Dataset Index

1.0

FAIR Score

85%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Environmental Chemistry

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

53%

Source

Scholar Data Model

Keywords

BiochemistryBiological Sciences not elsewhere classifiedCancerInfectious DiseasesFOS: Health sciences

Normalization Factors

FT

42.31

CTw

1.00

MTw

1.00