Abstract:In this study we have evaluated the reliability of a fluorescence-based method used for rapid identification of irreversible CYP inhibitors (mechanism-based inhibitors). This was accomplished by comparing the time-dependence pattern of IC50 values from fluorometric kinetic measurements. For irreversible CYP inhibitors, IC50 values decreased as incubation proceeded. This was due to progressive inactivation of corresponding enzymes by reactive metabolites generated during the incubation. This change pattern was … Show more
“…As reported by Yan et al, 2002 andNaritomi et al, 2004, irreversible CYP inhibition can easily be stopping the enzymatic reactions. Therefore, estimating IC50 values over time using microtiter plate assays is a simple and attractive method to detect irreversible inhibitors (Naritomi et al, 2004).…”
Section: Discussionmentioning
confidence: 92%
“…This parameter is related to the time-dependent decrease of IC50 values for irreversible inhibition (Yan et al, 2002). In this situation, the Cheng-Prusoff equation results in erroneous predictions.…”
The potential of enzyme inhibition of a drug is frequently quantified in terms of IC50 values. While this is a suitable quantity for reversible inhibitors, concerns arise when dealing with irreversible, or mechanism-based inhibitors (MBI). IC50 values of MBI are time-dependent, causing serious problems when aiming at ranking different compounds with respect to their inhibitory potential. As a consequence, most studies and ranking schemes related to MBI rely on the inhibition constant (K I ) and the rate of enzyme inactivation (k inact ) rather than on IC50 values. In this article we derive a novel relation between potentially time-dependent IC50 values and K I , k inact parameters for different types of inhibition. This allows for direct estimation of K I and k inact values from time-dependent IC50 values, even without the need of additional pre-incubation experiments. The application of this approach is illustrated using a fluorimetric assay to access the drug-drug interaction potential associated with new chemical entities. The approach can easily be implemented using standard software tools (e.g., XLfit) and may also be suitable for applications where mechanism-based inhibition is a desired mode of actions, e.g., at particular pharmacological drug targets.
“…As reported by Yan et al, 2002 andNaritomi et al, 2004, irreversible CYP inhibition can easily be stopping the enzymatic reactions. Therefore, estimating IC50 values over time using microtiter plate assays is a simple and attractive method to detect irreversible inhibitors (Naritomi et al, 2004).…”
Section: Discussionmentioning
confidence: 92%
“…This parameter is related to the time-dependent decrease of IC50 values for irreversible inhibition (Yan et al, 2002). In this situation, the Cheng-Prusoff equation results in erroneous predictions.…”
The potential of enzyme inhibition of a drug is frequently quantified in terms of IC50 values. While this is a suitable quantity for reversible inhibitors, concerns arise when dealing with irreversible, or mechanism-based inhibitors (MBI). IC50 values of MBI are time-dependent, causing serious problems when aiming at ranking different compounds with respect to their inhibitory potential. As a consequence, most studies and ranking schemes related to MBI rely on the inhibition constant (K I ) and the rate of enzyme inactivation (k inact ) rather than on IC50 values. In this article we derive a novel relation between potentially time-dependent IC50 values and K I , k inact parameters for different types of inhibition. This allows for direct estimation of K I and k inact values from time-dependent IC50 values, even without the need of additional pre-incubation experiments. The application of this approach is illustrated using a fluorimetric assay to access the drug-drug interaction potential associated with new chemical entities. The approach can easily be implemented using standard software tools (e.g., XLfit) and may also be suitable for applications where mechanism-based inhibition is a desired mode of actions, e.g., at particular pharmacological drug targets.
“…KCZ, which is a well-established pharmacological tool used to inhibit adrenal steroid synthesis, binds to the heme iron of cytochrome 450P (CYP450) isoforms mediating steroid hydroxylation reactions (Wolff et al 1993;Yan et al 2002). Thus, early increases in glucocorticoids immediately after the stressor may be critical for the protracted effects on NOS.…”
Stress-restress-mediated glucocorticoid release activates iNOS, followed by a reactive downregulation of hippocampal NMDA receptors and dysregulation of inhibitory GABA pathways. The role of NO in neuronal toxicity, and its regulation by glutamate and GABA has important implications in stress-related hippocampal degeneration.
“…A screening method for CYP inhibition using fluorescent substrates has been reported. 11,12) This method could be utilized to find potential mechanism-based inhibition since mechanismbased inhibitors enhance the degree of inhibition according to the preincubation time, so-called time-dependent inhibition (TDI). This method is suitable for use with HTS because it enables a rapid measurement of many compounds.…”
A method of assessing the risk of drug-drug interaction (DDI) caused by mechanism-based inhibition (MBI) was developed for early-stage drug development using cytochrome P450 (CYP) 3A4 inhibition screening data. CYP3A4 inhibition was evaluated using a fluorescent substrate with or without preincubation containing an inhibitor. The results showed that five well-known mechanism-based inhibitors, but not the competitive inhibitor ketoconazole, had lower IC(50) after preincubation, suggesting the utility of the IC(50) shift by preincubation to discern mechanism-based inhibitors. A method to approximately predict the change in the area under the concentration-time curve (AUC) of a co-administered drug by MBI was found using IC(50) shift data and the unbound mean plasma concentration of the inhibitor. From our predictions of change in the AUC for 38 drugs using this method, all mechanism-based inhibitors causing change in the AUC of more than 200% were predicted to be high risk. In conclusion, our method provides a simple assessment of the risk of DDI from mechanism-based inhibitors, especially in the early stages of drug development.
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