Evidence map›Paper›PMID 30247711›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2019

Employing Dietary Comparators to Perform Risk Assessments for Anti-Androgens Without Using Animal Data.

Matthew P Dent, Hequn Li, Paul L Carmichael, Francis L Martin

Open access · hybridAbstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. A Next-Generation Risk Assessment Case Study for Coumarin in Cosmetic Products.Toxicological sciences : an official journal of the Society of Toxicology · 2020
    Article
  6. Potential of ToxCast Data in the Safety Assessment of Food Chemicals.Toxicological sciences : an official journal of the Society of Toxicology · 2020
    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

4 authors at 2 institutions in 1 country.

Matthew P DentSafety and Environmental Assurance Centre, Unilever, Colworth Science Park, Bedfordshire MK44 1LQ, UK.
Hequn LiSafety and Environmental Assurance Centre, Unilever, Colworth Science Park, Bedfordshire MK44 1LQ, UK.
Paul L CarmichaelSafety and Environmental Assurance Centre, Unilever, Colworth Science Park, Bedfordshire MK44 1LQ, UK.
Francis L MartinSchool of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK.
Unilever (United Kingdom) · GBUniversity of Central Lancashire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the use of androgen receptor (AR) reporter gene assay data in a non-animal exposure-led risk assessment in which in vitro anti-androgenic activity and exposure data were put into context using a naturally occurring comparator substance with a history of dietary consumption. First, several dietary components were screened to identify which selectively interfered with AR signaling in vitro, using the AR CALUX® test. The IC50 values from these dose-response data together with measured or predicted human exposure levels were used to calculate exposure: activity ratios (EARs) for the dietary components and a number of other well-known anti-androgenic substances. Both diindolylmethane (DIM) and resveratrol are specifically acting dietary anti-androgens. The EARs for several anti-androgens were therefore expressed relative to the EAR of DIM, and how this 'dietary comparator ratio' (DCR) approach may be used to make safety decisions was assessed using an exposure-led case study for an anti-androgenic botanical ingredient. This highlights a pragmatic approach which allows novel chemical exposures to be put into context against dietary exposures to natural anti-androgenic substances. The DCR approach may have utility for other modes of action where appropriate comparators can be identified.

Indexed as

Models, BiologicalAndrogen AntagonistsAnimal Testing AlternativesBiological AssayCell Line, TumorDietary ExposureFood AnalysisFood ContaminationGenes, ReporterHumansLuciferasesReceptors, AndrogenRisk AssessmentAndrogen AntagonistsAR protein, humanLuciferasesReceptors, Androgen

Identifiers

PMID30247711
PMCPMC6358230
OpenAlexW2893678674

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.