Evidence map›Paper›PMID 37184865›Full record

ArticleChemical research in toxicology2023

Plasma Protein Binding Evaluations of Per- and Polyfluoroalkyl Substances for Category-Based Toxicokinetic Assessment.

Marci Smeltz, John F Wambaugh, Barbara A Wetmore

Open access · greenAbstract read
In one paragraph

Article in Chemical research in toxicology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
21.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 81 citations in OpenAlex.

  1. Article
  2. Review
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  8. Adapting existing toxicokinetic models to relate perfluoroalkyl and polyfluoroalkyl intake to biomarkers in humans.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Article
  9. Review
  10. Review
  11. Article
  12. Cross-species comparisons of plasma binding and considerations for data evaluation.Toxicology in vitro : an international journal published in association with BIBRA · 2025
    Article
  13. Article
  14. An in vitro and machine learning framework for quantifying serum albumin binding of per- and polyfluoroalkyl substances.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Article
  15. Review
  16. Review
  17. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Marci SmeltzCenter for Computational Toxicology and Exposure, US EPA Office of Research and Development, Research Triangle Park, North Carolina 27711, United States.
John F WambaughCenter for Computational Toxicology and Exposure, US EPA Office of Research and Development, Research Triangle Park, North Carolina 27711, United States.ORCID 0000-0002-4024-534X
Barbara A WetmoreCenter for Computational Toxicology and Exposure, US EPA Office of Research and Development, Research Triangle Park, North Carolina 27711, United States.ORCID 0000-0002-6878-5348
Environmental Protection Agency · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

New approach methodologies (NAMs) that make use of in vitro screening and in silico approaches to inform chemical evaluations rely on in vitro toxicokinetic (TK) data to translate in vitro bioactive concentrations to exposure metrics reflective of administered dose. With 1364 per- and polyfluoroalkyl substances (PFAS) identified as of interest under Section 8 of the U.S. Toxic Substances Control Act (TSCA) and concern over the lack of knowledge regarding environmental persistence, human health, and ecological effects, the utility of NAMs to understand potential toxicities and toxicokinetics across these data-poor compounds is being evaluated. To address the TK data deficiency, 71 PFAS selected to span a wide range of functional groups and physico-chemical properties were evaluated for in vitro human plasma protein binding (PPB) by ultracentrifugation with liquid chromatography-mass spectrometry analysis. For the 67 PFAS successfully evaluated by ultracentrifugation, fraction unbound in plasma (

Indexed as

FluorocarbonsProtein BindingToxicokineticsWater Pollutants, ChemicalBayes TheoremBlood ProteinsCarboxylic AcidsHumansBlood ProteinsCarboxylic AcidsFluorocarbonsWater Pollutants, Chemical

Identifiers

PMID37184865
PMCPMC10506455
OpenAlexW4376618782

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.