Fast and Reliable CYP Inhibition Assays

Author(s):  
Ming Yao ◽  
Hong Cai ◽  
Mingshe Zhu
Keyword(s):  
2019 ◽  
Author(s):  
Jacob Porter ◽  
Oscar Vivas-Rodriguez ◽  
C. David Weaver ◽  
Eamonn Dickson ◽  
Abdulmohsen Alsafran ◽  
...  

A set of novel Kv7.2/7.3 (KCNQ2/3) channel blockers was synthesized to address several liabilities of the known compounds XE991 (metabolic instability and CYP inhibition) and the clinical compound DMP 543 (acid instability, insolubility, and lipophilicity). Using the anthrone scaffold of the prior channel blockers, alternative heteroarylmethyl substituents were installed via enolate alkylation reactions. Incorporation of a pyridazine and a fluorinated pyridine gave an analog (JDP-107) with an optimal combination of potency (IC<sub>50</sub>= 0.16 𝜇M in a Kv7.2 thallium flux assay), efficacy in a Kv7.2/7.3 patch clamp assay, and drug-like properties.


2021 ◽  
Vol 14 (5) ◽  
pp. 472
Author(s):  
Tyler C. Beck ◽  
Kyle R. Beck ◽  
Jordan Morningstar ◽  
Menny M. Benjamin ◽  
Russell A. Norris

Roughly 2.8% of annual hospitalizations are a result of adverse drug interactions in the United States, representing more than 245,000 hospitalizations. Drug–drug interactions commonly arise from major cytochrome P450 (CYP) inhibition. Various approaches are routinely employed in order to reduce the incidence of adverse interactions, such as altering drug dosing schemes and/or minimizing the number of drugs prescribed; however, often, a reduction in the number of medications cannot be achieved without impacting therapeutic outcomes. Nearly 80% of drugs fail in development due to pharmacokinetic issues, outlining the importance of examining cytochrome interactions during preclinical drug design. In this review, we examined the physiochemical and structural properties of small molecule inhibitors of CYPs 3A4, 2D6, 2C19, 2C9, and 1A2. Although CYP inhibitors tend to have distinct physiochemical properties and structural features, these descriptors alone are insufficient to predict major cytochrome inhibition probability and affinity. Machine learning based in silico approaches may be employed as a more robust and accurate way of predicting CYP inhibition. These various approaches are highlighted in the review.


Author(s):  
David M. Shackleford ◽  
Francis C. K. Chiu ◽  
Kasiram Katneni ◽  
Scott Blundell ◽  
Jenna McLaren ◽  
...  

2001 ◽  
Vol 29 (2) ◽  
pp. 135-139 ◽  
Author(s):  
D. F. McGinnity ◽  
R. J. Riley

The pharmaceutical industry is committed to market safer drugs with fewer side effects, predictable pharmacokinetic properties and quantifiable drug-drug interactions. There is an increasing need to develop robust, enhanced-throughput in vitro assays, which accurately extrapolate to humans. The major drug metabolizing human hepatic cytochrome P450s (CYPs; CYP1A2, 2C9, 2C19, 2D6 and 3A4) have been co-expressed functionally in Escherichia coli with human NADPH-cytochrome P450 reductase and validated as surrogates to their counterparts in human liver microsomes (HLM) with respect to their kinetic and inhibition properties. Using these recombinant enzymes, fully automated in vitro assays to assess CYP inhibition and determine the enzymology of drug oxidation have been developed and validated. IC50 values determined for a series of test compounds in HLM and recombinant CYPs were similar (r2 = 0.9, P < 0.001). There was a good correlation between the sum of individual CYP intrinsic clearance (Clint) and HLM CIint (r2 = 0.8, P< 0.001) for ten prototypic substrates for which clearance was CYP-dependent. Several in vitro incubation milieu (e.g. CYPs, HLM, human hepatocytes) are routinely used and the level of non-specific binding was investigated with respect to effects on Km and Ki determinations. There were clear correlations between binding and lipophilicity (logD7.4) for a selection of bases (r2 = 0.98, P < 0.001) and acids (r2 = 0.79, P < 0.001) that may allow prediction of this property. Our laboratory has shown that recombinant enzymes are suitable for ‘frontline’ predictive human metabolism studies in early drug discovery.


2020 ◽  
Vol 48 (W1) ◽  
pp. W580-W585 ◽  
Author(s):  
Priyanka Banerjee ◽  
Mathias Dunkel ◽  
Emanuel Kemmler ◽  
Robert Preissner

Abstract Cytochrome P450 enzymes (CYPs)-mediated drug metabolism influences drug pharmacokinetics and results in adverse outcomes in patients through drug–drug interactions (DDIs). Absorption, distribution, metabolism, excretion and toxicity (ADMET) issues are the leading causes for the failure of a drug in the clinical trials. As details on their metabolism are known for just half of the approved drugs, a tool for reliable prediction of CYPs specificity is needed. The SuperCYPsPred web server is currently focused on five major CYPs isoenzymes, which includes CYP1A2, CYP2C19, CYP2D6, CYP2C9 and CYP3A4 that are responsible for more than 80% of the metabolism of clinical drugs. The prediction models for classification of the CYPs inhibition are based on well-established machine learning methods. The models were validated both on cross-validation and external validation sets and achieved good performance. The web server takes a 2D chemical structure as input and reports the CYP inhibition profile of the chemical for 10 models using different molecular fingerprints, along with confidence scores, similar compounds, known CYPs information of drugs—published in literature, detailed interaction profile of individual cytochromes including a DDIs table and an overall CYPs prediction radar chart (http://insilico-cyp.charite.de/SuperCYPsPred/). The web server does not require log in or registration and is free to use.


2007 ◽  
Vol 3 (1) ◽  
pp. 51-66 ◽  
Author(s):  
Robert J Riley ◽  
Ken Grime ◽  
Richard Weaver

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 2266-2266 ◽  
Author(s):  
Athiwat Hutchaleelaha ◽  
Christine Ye ◽  
Yonghong Song ◽  
Todd Lorenz ◽  
Daniel Gretler ◽  
...  

Abstract Abstract 2266 Betrixaban is a once daily oral Factor Xa inhibitor being investigated in a Phase 3 clinical trial to prevent venous thromboembolism in acute medically ill patients (APEX Study). Mass balance, metabolite profile and interaction with major CYP enzymes were evaluated in this study. Portola study 06–005 was an open-label, single-dose, mass-balance and metabolic profiling study using 14C-labeled betrixaban in 5 healthy male volunteers. Each subject received a single oral solution containing 40 mg of betrixaban labeled with 100 μCi of 14C. Blood samples were taken serially over a 168-hour interval. Urine samples and fecal samples were collected during the 7–14 day confinement period. Subjects were discharged from the unit when at least one of the following criteria were met: 90% of the radioactivity was recovered in urine and feces, daily excreted radioactivity was 1% or less of administered dose on two consecutive days, or subject reached 336 hours (14 days) post dose. The plasma concentration equivalents of total radioactivity increased rapidly following dosing with a mean peak of 31.69 ng eq/mL occurring at 3.5 hours post-dose. AUC and half-life could not be calculated as radioactivity in plasma could only be detected up to 6 hours post dose. Terminal elimination half life determined in other clinical pharmacology studies was 37 hours. Total radioactivity recovered from urine and feces was approximately 96% (range 92% to 99%), with the majority of 14C recovery in feces (82% to 89% of the dose). The 14C dose recovered in urine, composed of betrixaban and inactive metabolites, ranged from 6% to 13%. The metabolic profile of betrixaban was determined in plasma, urine and feces. Unchanged betrixaban was the predominant component found in human plasma and excreta, accounting for 85.3% of the dose excreted in urine and feces. The major biotransformation pathway for betrixaban was hydrolysis to form PRT062802 and PRT062803, a non-14C labeled metabolite (Figure 1). PRT062803 can be demethylated to form PRT062799 or hydroxylated to form PRT062982. PRT062982 is further conjugated with sulfate to form PRT063069. Both PRT062802 and PRT063069 were major circulating metabolites in human plasma with AUC of 34% and 24% that of betrixaban, respectively. PRT062802 was the only prominent metabolite detected in human urine and feces. In addition to hydrolysis metabolites, two CYP-mediated metabolites, O-desmethyl betrixaban (PRT058326) and N-desmethyl betrixaban (PRT054156), were observed in plasma at trace levels (AUC of each was <1% that of betrixaban). Trace levels of PRT058326 was also observed in urine and feces. Both PRT062802 and PRT063069 were inactive (IC50 for fXa inhibition >10 μM). PRT058326 and PRT054156 have an IC50 for fXa inhibition of approximately 5 nM compared to betrixaban Ki of 0.117 pM. Interaction of betrixaban with CYP enzymes was studied in vitro. CYP inhibition potential was evaluated in human liver microsomes with or without 30 minute pre-incubation of betrixaban. Selective probe substrates were used to monitor CYP activities, i.e. phenacetin for 1A2, tolbutamide for 2C9, S-mephenytoin for 2C19, dextromethorphan for 2D6, and testosterone and midazolam for 3A4. Betrixaban had IC50 > 80 μM for CYP1A2, 2C9, 2D6 and 3A4 for both competitive and time-dependent inhibition. IC50 for 2C19 were 43 and 88 μM for competitive and time-dependent inhibition, respectively. The CYP inhibition IC50's are much higher than the betrixaban therapeutic concentration of 50 nM. CYP induction by betrixaban was also studied using cryopreserved human hepatocytes (n=3). Betrixaban at 1, 10 and 25 μM were incubated in hepatocyte preparation for 48 hours. The activities for CYP1A2, CYP2C9, CYP2C19, and CYP3A4 were determined by measuring the formation of metabolites of the probe substrates similar to those used in the CYP inhibition study. CYP2C19 activities were not quantifiable in all three donors; therefore, induction for this CYP isoform could not be assessed. Betrixaban did not induce the activities of CYP1A2, CYP2C9, and CYP3A4. These results demonstrated that betrixaban was mainly excreted as the unchanged drug most likely via biliary secretion. Renal excretion and metabolism were minor elimination pathways. Betrixaban is unlikely to have drug-drug interactions with CYP-substrate, inducer, or inhibitor drugs. Disclosures: Hutchaleelaha: Portola pharmaceuticals: Employment. Ye:Portola Pharmaceuticals: Employment. Song:Portola Pharmaceuticals: Employment. Lorenz:Portola Pharmaceuticals: Employment. Gretler:Portola Pharmaceuticals: Equity Ownership. Lambing:Portola Pharmaceuticals: Employment.


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