Evidence map›Paper›PMID 27473340›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2016

A Demonstration of the Uncertainty in Predicting the Estrogenic Activity of Individual Chemicals and Mixtures From an In Vitro Estrogen Receptor Transcriptional Activation Assay (T47D-KBluc) to the In Vivo Uterotrophic Assay Using Oral Exposure.

Justin M Conley, Bethany R Hannas, Johnathan R Furr, Vickie S Wilson, L Earl Gray

Open access · bronzeAbstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Lessons learned from evaluating defined chemical mixtures in a high-throughput estrogen receptor assay system.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Endocrine disruptors of sex hormone activities.Molecular and cellular endocrinology · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. A Conflicted Tale of Two Novel AR Antagonists In Vitro and In Vivo: Pyrifluquinazon Versus Bisphenol C.Toxicological sciences : an official journal of the Society of Toxicology · 2019
    Article
  18. Article
  19. Article
  20. DifferentialEnvironmental health perspectives · 2018
    Article
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

5 authors at 2 institutions in 1 country.

Justin M Conley*Toxicity Assessment Division, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711.
Bethany R Hannas*Toxicity Assessment Division, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711 Dow Chemical Company, Midland, Michigan 48674.
Johnathan R Furr*Toxicity Assessment Division, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711 Southern Research, Birmingham, Alabama 35205.
Vickie S Wilson*Toxicity Assessment Division, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711.
L Earl Gray*Toxicity Assessment Division, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711 gray.earl@epa.gov.
Research Triangle Park Foundation · USEnvironmental Protection Agency · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro estrogen receptor assays are valuable tools for identifying environmental samples and chemicals that display estrogenic activity. However, in vitro potency cannot necessarily be extrapolated to estimates of in vivo potency because in vitro assays are currently unable to fully account for absorption, distribution, metabolism, and excretion. To explore this issue, we calculated relative potency factors (RPF), using 17α-ethinyl estradiol (EE2) as the reference compound, for several chemicals and mixtures in the T47D-KBluc estrogen receptor transactivation assay. In vitro RPFs were used to predict rat oral uterotrophic assay responses for these chemicals and mixtures. EE2, 17β-estradiol (E2), benzyl-butyl phthalate (BBP), bisphenol-A (BPA), bisphenol-AF (BPAF), bisphenol-C (BPC), bisphenol-S (BPS), and methoxychlor (MET) were tested individually, while BPS + MET, BPAF + MET, and BPAF + BPC + BPS + EE2 + MET were tested as equipotent mixtures. In vivo ED50 values for BPA, BPAF, and BPC were accurately predicted using in vitro data; however, E2 was less potent than predicted, BBP was a false positive, and BPS and MET were 76.6 and 368.3-fold more active in vivo than predicted from the in vitro potency, respectively. Further, mixture ED50 values were more accurately predicted by the dose addition model using individual chemical in vivo uterotrophic data (0.7-1.5-fold difference from observed) than in vitro data (1.4-86.8-fold). Overall, these data illustrate the potential for both underestimating and overestimating in vivo potency from predictions made with in vitro data for compounds that undergo substantial disposition following oral administration. Accounting for aspects of toxicokinetics, notably metabolism, in in vitro models will be necessary for accurate in vitro-to-in vivo extrapolations.

Indexed as

UncertaintyAnimalsDose-Response Relationship, DrugEstrogensFemaleRatsRats, Sprague-DawleyReceptors, EstrogenTranscriptional ActivationUterusEstrogensReceptors, Estrogenbisphenolsestrogenmixtureoral exposureT47D-KBlucuterotrophic

Identifiers

PMID27473340
PMCPMC5036621
OpenAlexW2502978712

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.