In vitro and in silico strategies to identify OATP1B1 inhibitors and predict clinical drug-drug interactions.
Pharm Res
; 29(2): 411-26, 2012 Feb.
Article
en En
| MEDLINE
| ID: mdl-21861202
ABSTRACT
PURPOSE:
To establish in vitro and in silico models that predict clinical drug-drug interactions (DDIs) with the OATP1B1 (SLCO1B1) transporter.METHODS:
The inhibitory effect of 146 drugs and drug-like compounds on OATP1B1-mediated transport was studied in HEK293 cells. A computational model was developed to predict OATP1B1 inhibition. Concentration-dependent effects were investigated for six compounds; clinical DDIs were predicted by calculating change in exposure (i.e. R-values) in eight different ways.RESULTS:
Sixty-five compounds were identified as OATP1B1 inhibitors at 20 µM. The computational model predicted the test set with 80% accuracy for inhibitors and 91% for non-inhibitors. In vitro-in vivo comparisons underscored the importance of using drugs with known clinical effects as references. Thus, reference drugs, cyclosporin A, gemfibrozil, and fenofibrate, provided an inhibition interval to which three antiviral drugs, atazanavir, lopinavir, and amprenavir, could be compared and their clinical DDIs with OATP1B1 classified.CONCLUSIONS:
Twenty-two new OATP1B1 inhibitors were identified, a predictive OATP1B1 inhibition in silico model was developed, and successful predictions of clinical DDIs were obtained with OATP1B1.
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Transportadores de Anión Orgánico
/
Interacciones Farmacológicas
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Pharm Res
Año:
2012
Tipo del documento:
Article
País de afiliación:
Suecia