ArticleRegulatory toxicology and pharmacology : RTP2020
Selecting a minimal set of androgen receptor assays for screening chemicals.
Article in Regulatory toxicology and pharmacology : RTP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Weight of evidence for cross-species conservation of androgen receptor-based biological activity.Toxicological sciences : an official journal of the Society of Toxicology · 2023Pooled it
- Screening for Endocrine Bioactivity Potential of Tobacco Product Chemicals Including Flavor Chemicals.Environmental toxicology · 2025Article
- Article
- Community-Engaged Research and the Use of Open Access ToxVal/ToxRef In Vivo Databases and New Approach Methodologies (NAM) to Address Human Health Risks From Environmental Contaminants.Birth defects research · 2024Article
- Critical assessment of the endocrine potential of Linalool and Linalyl acetate: proactive testing strategy assessing estrogenic and androgenic activity of Lavender oil main components.Archives of toxicology · 2024Article
- Exploring the effects of experimental parameters and data modeling approaches on in vitro transcriptomic point-of-departure estimates.Toxicology · 2024Article
- Optimizing androgen receptor prioritization using high-throughput assay-based activity models.Frontiers in toxicology · 2024Article
- Putative adverse outcome pathway development based on physiological responses of female fathead minnows to model estrogen versus androgen receptor agonists.Aquatic toxicology (Amsterdam, Netherlands) · 2023Article
- New Approach Methodologies for the Endocrine Activity Toolbox: Environmental Assessment for Fish and Amphibians.Environmental toxicology and chemistry · 2023Review
- High-throughput AR dimerization assay identifies androgen disrupting chemicals and metabolites.Frontiers in toxicology · 2023Article
- Evaluating structure-based activity in a high-throughput assay for steroid biosynthesis.Computational toxicology (Amsterdam, Netherlands) · 2022Article
- Advances in computational methods along the exposure to toxicological response paradigm.Toxicology and applied pharmacology · 2022Article
- Replacement of animal testing by integrated approaches to testing and assessment (IATA): a call for in vivitrosi.Archives of toxicology · 2022Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
Screening certain environmental chemicals for their ability to interact with endocrine targets, including the androgen receptor (AR), is an important global concern. We previously developed a model using a battery of eleven in vitro AR assays to predict in vivo AR activity. Here we describe a revised mathematical modeling approach that also incorporates data from newly available assays and demonstrate that subsets of assays can provide close to the same level of predictivity. These subset models are evaluated against the full model using 1820 chemicals, as well as in vitro and in vivo reference chemicals from the literature. Agonist batteries of as few as six assays and antagonist batteries of as few as five assays can yield balanced accuracies of 95% or better relative to the full model. Balanced accuracy for predicting reference chemicals is 100%. An approach is outlined for researchers to develop their own subset batteries to accurately detect AR activity using assays that map to the pathway of key molecular and cellular events involved in chemical-mediated AR activation and transcriptional activity. This work indicates in vitro bioactivity and in silico predictions that map to the AR pathway could be used in an integrated approach to testing and assessment for identifying chemicals that interact directly with the mammalian AR.
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What OpenQuestion holds
Registered trials
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.