Predicting the Activation of the Androgen Receptor by Mixtures of Ligands Using Generalized Concentration Addition. (8th July 2020)
- Record Type:
- Journal Article
- Title:
- Predicting the Activation of the Androgen Receptor by Mixtures of Ligands Using Generalized Concentration Addition. (8th July 2020)
- Main Title:
- Predicting the Activation of the Androgen Receptor by Mixtures of Ligands Using Generalized Concentration Addition
- Authors:
- Schlezinger, Jennifer J
Heiger-Bernays, Wendy
Webster, Thomas F - Abstract:
- Abstract: Concentration/dose addition is widely used for compounds that act by similar mechanisms. But it cannot make predictions for mixtures of full and partial agonists for effect levels above that of the least efficacious component. As partial agonists are common, we developed generalized concentration addition, which has been successfully applied to systems in which ligands compete for a single binding site. Here, we applied a pharmacodynamic model for a homodimer receptor system with 2 binding sites, the androgen receptor, that acts according to the classic homodimer activation model: Each cytoplasmic monomer protein binds ligand, undergoes a conformational change that relieves inhibition of dimerization, and binds to DNA response elements as a dimer. We generated individual dose-response data for full (dihydroxytestosterone, BMS564929) and partial (TFM-4AS-1) agonists and a competitive antagonist (MDV3100) using reporter data generated in the MDA-kb2 cell line. We used the Schild method to estimate the binding affinity of MDV3100. Data for individual compounds fit the homodimer pharmacodynamic model well. In the presence of a full agonist, the partial agonist had agonistic effects at low effect levels and antagonistic effects at high levels, as predicted by pharmacological theory. The generalized concentration addition model fits the empirical mixtures data—full/full agonist, full/partial agonist, and full agonist/antagonist—as well or better than relative potencyAbstract: Concentration/dose addition is widely used for compounds that act by similar mechanisms. But it cannot make predictions for mixtures of full and partial agonists for effect levels above that of the least efficacious component. As partial agonists are common, we developed generalized concentration addition, which has been successfully applied to systems in which ligands compete for a single binding site. Here, we applied a pharmacodynamic model for a homodimer receptor system with 2 binding sites, the androgen receptor, that acts according to the classic homodimer activation model: Each cytoplasmic monomer protein binds ligand, undergoes a conformational change that relieves inhibition of dimerization, and binds to DNA response elements as a dimer. We generated individual dose-response data for full (dihydroxytestosterone, BMS564929) and partial (TFM-4AS-1) agonists and a competitive antagonist (MDV3100) using reporter data generated in the MDA-kb2 cell line. We used the Schild method to estimate the binding affinity of MDV3100. Data for individual compounds fit the homodimer pharmacodynamic model well. In the presence of a full agonist, the partial agonist had agonistic effects at low effect levels and antagonistic effects at high levels, as predicted by pharmacological theory. The generalized concentration addition model fits the empirical mixtures data—full/full agonist, full/partial agonist, and full agonist/antagonist—as well or better than relative potency factors or effect summation. The ability of generalized concentration addition to predict the activity of mixtures of different types of androgen receptor ligands is important as a number of environmental compounds act as partial androgen receptor agonists or antagonists. … (more)
- Is Part Of:
- Toxicological sciences. Volume 177:Number 2(2020)
- Journal:
- Toxicological sciences
- Issue:
- Volume 177:Number 2(2020)
- Issue Display:
- Volume 177, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 177
- Issue:
- 2
- Issue Sort Value:
- 2020-0177-0002-0000
- Page Start:
- 466
- Page End:
- 475
- Publication Date:
- 2020-07-08
- Subjects:
- mixtures -- androgen receptor -- modeling -- partial agonist -- antagonist
Toxicology -- Periodicals
Toxicology -- Periodicals
Toxicology
Periodicals
615.9 - Journal URLs:
- http://www.sciencedirect.com/science/journal/10966080 ↗
http://toxsci.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/toxsci/kfaa108 ↗
- Languages:
- English
- ISSNs:
- 1096-6080
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8873.031900
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25860.xml