Evidence map›Paper›PMID 29846006›Full record

ArticleEnvironmental toxicology and chemistry2018

The advantages of linear concentration-response curves for in vitro bioassays with environmental samples.

Beate I Escher, Peta A Neale, Daniel L Villeneuve

Abstract read
In one paragraph

Article in Environmental toxicology and chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
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

39 citing papers in PubMed.

  1. Article
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  8. Assessing Modes of Toxic Action of Organic Cations inChemical research in toxicology · 2025
    Article
  9. Article
  10. Gaining confidence inNAM journal · 2025
    Article
  11. Article
  12. Article
  13. Extrapolation of cytotoxic masked effects in planar in vitro assays.Analytical and bioanalytical chemistry · 2024
    Article
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  19. Review
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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.

Beate I EscherHelmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.ORCID 0000-0002-5304-706X
Peta A NealeAustralian Rivers Institute, School of Environment and Science, Griffith University, Southport, Queensland, Australia.
Daniel L VilleneuveMid-Continent Ecology Division, National Health and Environmental Effects Research Laboratory, Office of Research and Development, US Environmental Protection Agency, Duluth, Minnesota.ORCID 0000-0003-2801-0203

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

In vitro assays and high-throughput screening (HTS) tools are increasingly being employed as replacements for animal testing, but most concentration-response curves are still evaluated with models developed for animal testing. We argue that application of in vitro assays, particularly reporter gene assays, to environmental samples can benefit from a different approach to concentration-response modeling. First, cytotoxicity often occurs at higher concentrations, especially for weakly acting compounds and in complex environmental mixtures with many components. In these cases, specific effects can be masked by cytotoxicity. Second, for many HTS assays, low effect levels can be precisely quantified because of the low variability of controls in cell-based assays and the opportunity to run many concentrations and replicates when using high-density well-plate formats (e.g., 384 or more wells per plate). Hence, we recommend focusing concentration-response modeling on the lower portion of the concentration-response curve, which is approximately linear. Effect concentrations derived from low-effect level linear concentration-response models facilitate simple derivation of relative effect potencies and the correct application of mixture toxicity models in the calculation of bioanalytical equivalent concentrations. Environ Toxicol Chem 2018;37:2273-2280. © 2018 SETAC.

Indexed as

AnimalsBiological AssayCell DeathEnvironmental PollutantsGenes, ReporterHigh-Throughput Screening AssaysHumansEnvironmental PollutantsBioanalytical equivalent concentrationDose-response modelingEnvironmental toxicologyIn vitro toxicology

Identifiers

PMID29846006
PMCPMC6150494

What OpenQuestion holds

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Registered trials

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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.