Cargando…
A Targeted in Vivo SILAC Approach for Quantification of Drug Metabolism Enzymes: Regulation by the Constitutive Androstane Receptor
[Image: see text] The modulation of drug metabolism enzyme (DME) expression by therapeutic agents is a central mechanism of drug–drug interaction and should be assessed as early as possible in preclinical drug development. Direct measurement of DME levels is typically achieved by Western blotting, q...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2013
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3923450/ https://www.ncbi.nlm.nih.gov/pubmed/24303842 http://dx.doi.org/10.1021/pr400897t |
Sumario: | [Image: see text] The modulation of drug metabolism enzyme (DME) expression by therapeutic agents is a central mechanism of drug–drug interaction and should be assessed as early as possible in preclinical drug development. Direct measurement of DME levels is typically achieved by Western blotting, qPCR, or microarray, but these techniques have their limitations; antibody cross-reactivity among highly homologous subfamilies creates ambiguity, while discordance between mRNA and protein expression undermines observations. The aim of this study was to design a simple targeted workflow by combining in vivo SILAC and label-free proteomics approaches for quantification of DMEs in mouse liver, facilitating a rapid and comprehensive evaluation of metabolic potential at the protein level. A total of 197 peptides, representing 51 Phase I and Phase II DMEs, were quantified by LC-MS/MS using targeted high resolution single ion monitoring (tHR/SIM) with a defined mass-to-charge and retention time window for each peptide. In a constitutive androstane receptor (Car) activated mouse model, comparison of tHR/SIM-in vivo SILAC with Western blotting for analysis of the expression of cytochromes P450 was favorable, with agreement in fold-change values between methods. The tHR/SIM-in vivo SILAC approach therefore permits the robust analysis of multiple DME in a single protein sample, with clear utility for the assessment of the drug–drug interaction potential of candidate therapeutic compounds. |
---|