text: A Physiologically-Based Pharmacokinetic Modelling Approach to Predict Disease-Drug Interactions: Suppression of CYP3A by IL-6.
  Elevated cytokine levels can down-regulate expression of cytochrome P450 enzymes (CYPs) and suppress their activity. Treatment of inflammation or infection with cytokine-modulating therapeutic proteins (TP) could reverse suppression manifesting as therapeutic protein-drug drug interactions (TP-DDI). A physiologically-based pharmacokinetic model was used to quantitatively predict the impact of IL-6 on sensitive CYP3A4 substrates. Elevated simvastatin AUC in virtual rheumatoid arthritis patients, following 100 pg/mL of IL-6 was comparable to observed clinical data (59% versus 58%). In virtual bone marrow transplant (BMT) patients, 500 pg/ml of IL-6 resulted in increase in cyclosporine AUC that was in good agreement with the observed data (45% versus 39%). In a different group of BMT patients treated with cyclosporine, the magnitude of interaction with IL-6 was under predicted ~3-fold. The complexity of TP-DDI highlights underlying pathophysiological factors to be considered but these simulations provide valuable first steps towards predictions of TP-DDI risk.Clinical Pharmacology & Therapeutics (2013); accepted article preview online 10 April 2013 doi:10.1038/clpt.2013.79.
entities.id: T10 T11 T12 T13 T14 T1 T2 T3 T4 T5 T6 T7 T8 T9
entities.type: GENE-N GENE-Y GENE-N GENE-N GENE-Y CHEMICAL CHEMICAL CHEMICAL GENE-N GENE-Y GENE-Y GENE-Y GENE-N GENE-Y
entities.text: CYPs IL-6 cytokine CYP3A IL-6 simvastatin cyclosporine cyclosporine cytokine IL-6 CYP3A4 IL-6 cytochrome P450 IL-6