Japanese medicinal drug labeling for use in the clinical setting as informed by pharmacogenomic data on cytochrome P450 enzymes obtained from in silico studies.

Putting pharmacogenomics into practice

Food Effect on Oral Bioavailability: Old and New Questions.

To review the labels of United States Food and Drug Administration (FDA)-approved drugs to identify those that contain pharmacogenomic biomarker information, and to collect prevalence information on the use of those drugs for which pharmacogenomic information is included in the drug labeling. Retrospective analysis. The Physicians' Desk Reference Web site, Drugs@FDA Web site, and manufacturers' Web sites were used to identify drug labels containing pharmacogenomic information, and the prescription claims database of a large pharmacy benefits manager (insuring > 55 million individuals in the United States) was used to obtain drug utilization data. Pharmacogenomic biomarkers were defined, FDA-approved drug labels containing this information were identified, and utilization of these drugs was determined. Of 1200 drug labels reviewed for the years 1945-2005, 121 drug labels contained pharmacogenomic information based on a key word search and follow-up screening. Of those, 69 labels referred to human genomic biomarkers, and 52 referred to microbial genomic biomarkers. Of the labels referring to human biomarkers, 43 (62%) pertained to polymorphisms in cytochrome P450 (CYP) enzyme metabolism, with CYP2D6 being most common. Of 36.1 million patients whose prescriptions were processed by a large pharmacy benefits manager in 2006, about 8.8 million (24.3%) received one or more drugs with human genomic biomarker information in the drug label. Nearly one fourth of all outpatients received one or more drugs that have pharmacogenomic information in the label for that drug. The incorporation and appropriate use of pharmacogenomic information in drug labels should be tested for its ability to improve drug use and safety in the United States.

Proton Pump Inhibitors and Clopidogrel – Hazardous Drug Interaction or Hazardous Interpretation of Data?

Influence of CYP2C19 and CYP3A4 gene polymorphisms on clopidogrel responsiveness in healthy subjects.

Oxidation of tienilic acid by human cytochromes P-450 (CYP) 2C9, 2C18, 2C8 and 2C19 was studied using recombinant enzymes expressed in yeast. CYP 2C9 was the best catalyst for 5-hydroxylation of tienilic acid (K(m) = 5 +/- 1 microM, kcat = 1.7 +/- 0.2 min-1), 30-fold more potent in terms of kcat/K(m) than CYP 2C18 (K(m) = 150 +/- 15 microM, kcat = 1.8 +/- 0.2 min-1) and 300-fold more potent than CYP 2C8 (K(m) = 145 +/- 15 microM, kcat = 0.2 +/- 0.1 min-1). CYP 2C19 was unable to catalyze this hydroxylation under our experimental conditions. During this study, a marked effect of the ionic strength on the activities (hydroxylations of tienilic acid and tolbutamide) of these cytochromes P-450 expressed in the yeast strain 334 was observed. The effect was particularly great in the case of CYP 2C18, with a tenfold decrease of activity upon increasing ionic strength from 0.02 to 0.1. Specific-covalent binding of tienilic acid metabolites to cytochrome P-450 (incubations in the presence of 5 mM glutathione) was markedly higher upon tienilic acid oxidation by CYP 2C9 than by CYP 2C18 and CYP 2C8. Mechanism-based inactivation of cytochrome P-450 during tienilic acid oxidation was observed in the case of CYP 2C9 but was not detectable with CYP 2C18 and CYP 2C8. Tienilic acid thus appears to be a mechanism-based inhibitor specific for CYP 2C9 in human liver. Experiments performed with human liver microsomes confirmed that tienilic acid 5-hydroxylase underwent a time-dependent inactivation (apparent t1/2 = 10 +/- 5 min) during 5-hydroxylation of tienilic acid.

335 Cytochrome P450 2C19*17 polymorphism offsets the negative effect of 2C19*2 polymorphism on platelet reactivity in patients treated with clopidogrel

BackgroundThe anti-malarial drug, amodiaquine, a commonly used, long-acting partner drug in artemisinin-based combination therapy, is metabolized to active desethyl-amodiaquine (DEAQ) by cytochrome P450 2C8 (CYP2C8). The CYP2C8 gene carries several polymorphisms including the more frequent minor alleles, CYP2C8*2 and CYP2C8*3. These minor alleles have been associated with decreased enzymatic activity, slowing the amodiaquine biotransformation towards DEAQ. This study aimed to assess the influence of these CYP2C8 polymorphisms on the efficacy and tolerability of artesunate–amodiaquine (AS–AQ) treatment for uncomplicated Plasmodium falciparum malaria in Zanzibar.MethodsDried blood spots on filter paper were collected from 618 children enrolled in two randomized clinical trials comparing AS–AQ and artemether-lumefantrine in 2002–2005 in Zanzibar. Study participant were under five years of age with uncomplicated falciparum malaria. Human CYP2C8*2 and CYP2C8*3 genotype frequencies were determined by PCR-restriction fragment length polymorphism. Statistical associations between CYP2C8*2 and/or CYP2C8*3 allele carriers and treatment outcome or occurrence of adverse events were assessed by Fisher’s exact test.ResultsThe allele frequencies of CYP2C8*2 and CYP2C8*3 were 17.5 % (95 % CI 15.4–19.7) and 2.7 % (95 % CI 1.8–3.7), respectively. There was no significant difference in the proportion of subjects carrying either CYP2C8*2 or CYP2C8*3 alleles amongst those with re-infections (44.1 %; 95 % CI 33.8–54.8) or those with recrudescent infections (48.3 %; 95 % CI 29.4–67.5), compared to those with an adequate clinical and parasitological response (36.7 %; 95 % CI 30.0-43.9) (P = 0.25 and P = 0.31, respectively). However, patients carrying either CYP2C8*2 or CYP2C8*3 alleles were significantly associated with an increased occurrence of non-serious adverse events, when compared with CYP2C8 *1/*1 wild type homozygotes (44.9 %; 95 % CI 36.1–54.0 vs. 28.1 %; 95 % CI 21.9–35.0, respectively; P = 0.003).ConclusionsCYP2C8 genotypes did not influence treatment efficacy directly, but the tolerability to AS–AQ may be reduced in subjects carrying the CYP2C8*2 and CYP2C8*3 alleles. The importance of this non-negligible association with regard to amodiaquine-based malaria chemotherapy warrants further investigation.

EIDD-1931 is the active form of molnupiravir, an orally effective drug approved by the United States Food and Drug Administration (USFDA) against COVID-19. Pharmacokinetic alteration can cause untoward drug interaction (drug-drug/disease-drug), but hardly any information is known about this recently approved drug. Therefore, we first investigated the impact of the arthritis state on the oral pharmacokinetics of EIDD-1931 using a widely accepted complete Freund's adjuvant (CFA)-induced rat model of rheumatoid arthritis (RA) after ascertaining the disease occurrence by paw swelling measurement and X-ray examination. Comparative oral pharmacokinetic assessment of EIDD-1931 (normal state vs arthritis state) showed that overall plasma exposure was augmented (1.7-fold) with reduced clearance (0.54-fold), suggesting its likelihood of dose adjustment in arthritis conditions. In order to elucidate the effect of EIDD-1931 treatment at a therapeutic regime (normal state vs arthritis state) on USFDA-recommended panel of cytochrome P450 (CYP) enzymes (CYP1A2, CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, and CYP3A4) for drug interaction using the same disease model, we monitored protein and mRNA expressions (rat homologs) in liver tissue by western blotting (WB) and real time-polymerase chain reaction (RT-PCR), respectively. Results reveal that EIDD-1931 treatment could strongly influence CYP3A4 and CYP2C8 among experimental proteins/mRNAs. Although CYP2C8 regulation upon EIDD-1931 treatment resembles similar behavior under the arthritis state, results dictate a potentially reverse phenomenon for CYP3A4. Moreover, the lack of any CYP inhibitory effect by EIDD-1931 in human/rat liver microsomes (HLM/RLM) helps to ascertain EIDD-1931 treatment-mediated disease-drug interaction and the possibility of drug-drug interaction with disease-modifying antirheumatic drugs (DMARDs) upon coadministration. As elevated proinflammatory cytokine levels are prevalent in RA and nuclear factor-kappa B (NF-kB) and nuclear receptors control CYP expressions, further studies should focus on understanding the regulation of affected CYPs to subside unexpected drug interaction.

Flushing Oral Oncology Drugs Down the Toilet

Approximately 50% of inter-individual variation in warfarin dose requirements is attributed to the polymorphisms of cytochrome P450 (CYP) 2C9 (CYP2C9) and vitamin K epoxide reductase complex, subunit 1 (VKORC1) genotypes. What contributes to the remaining 50% of variation remains unclear. The aim of this study is to assess the clinical usefulness of monitoring plasma warfarin concentrations. We examined genotypic and clinical factors influencing high and low warfarin concentrations. We included 325 Korean patients who received warfarin therapy for more than 7 days whose plasma warfarin concentrations were measured and whose genotypes for VKORC1 and CYP2C9 were determined. The plasma concentrations of total warfarin and 7-hydroxywarfarin were determined by high-performance liquid chromatography-tandem mass spectrometry. Using 437 warfarin measurements obtained from 325 patients, we found a correlation between plasma warfarin concentration and warfarin dose (r (2) = 0.356; P < 0.001) and a significant difference in the warfarin/7-hydroxywarfarin ratios of the CYP2C9*1/*1 and CYP2C9*1/*3 genotypes combined with drugs that inhibited warfarin (P = 0.003). Insufficient warfarin dose and patient noncompliance were the most common causes of low warfarin concentrations (<0.54 µg/mL, <5th percentile). Genetic factors that cause pharmacodynamic resistance (e.g., VKORC1 genotype) and thus require high warfarin doses were the most common causes of high warfarin concentrations (>1.85 µg/mL, >95th percentile). Monitoring warfarin concentrations along with the prothrombin time-international normalized ratio may be clinically useful for managing patients with long-term warfarin therapy and identifying factors contributing to inter- or intra-individual variability such as genetic polymorphisms, underlying diseases, drug interactions with warfarin, and patient compliance.

The metabolism of amitriptyline was studied in vitro using cDNA-expressed human cytochrome P450 (CYP) enzymes 1A2, 3A4, 2C9, 2C19, 2D6 and 2E1. CYP 2C19 was the most important enzyme with regard to the demethylation of amitriptyline, the quantitatively most important metabolic pathway. CYP 1A2, 3A4, 2C9 and CYP 2D6 also participated in the demethylation of amitriptyline. CYP 2D6 was the sole enzyme mediating the hydroxylation of amitriptyline, and (E)-10-OH-amitriptyline was exclusively produced. CYP 2E1 did not metabolize amitriptyline. Concerning the quantitative relations, CYP 2C19 and 2D6 exhibited high affinities with Km values in the range of 5-13 mumol/l, whereas the affinities of 1A2, 3A4 and 2C9 were somewhat lower with Km values ranging from 74 to 92 mumol/l. CYP 2C19 displayed the highest reaction capacity per mole with Vmax equal to 475 mol h-1 (mol CYP)-1. The other enzymes had Vmax values in the range of 90-145 mol h-1 (mol CYP)-1. Allowing for the typical relative distribution of amounts of CYP enzymes in the liver, a simulation study suggested that, at therapeutic doses, on average about 60% of the metabolism depended on CYP 2C19. At toxic doses, CYP 2C19 is expected to be saturated, and CYP 3A4 may now play a dominant role in the metabolism.

* Numerous cocktails using concurrent administration of several cytochrome P450 (CYP) isoform-selective probe drugs have been reported to investigate drug-drug interactions in vivo. * This approach has several advantages: characterize the inhibitory or induction potential of compounds in development toward the CYP enzymes identified in vitro in an in vivo situation, assess several enzymes in the same trial, and have complete in vivo information about potential CYP-based drug interactions. * This study describes a new cocktail containing five probe drugs that has never been published. * This cocktail can be used to test the effects of a new chemical entity on multiple CYP isoforms in a single clinical study: CYP1A2 (caffeine), CYP2C9 (warfarin), CYP2C19 (omeprazole), CYP2D6 (metoprolol), and CYP3A (midazolam) and was designed to overcome potential liabilities of other reported cocktails. To assess the pharmacokinetics (PK) of selective substrates of CYP1A2 (caffeine), CYP2C9 (S-warfarin), CYP2C19 (omeprazole), CYP2D6 (metoprolol) and CYP3A (midazolam) when administered orally and concurrently as a cocktail relative to the drugs administered alone. This was an open-label, single-dose, randomized, six-treatment six-period six-sequence William's design study with a wash-out of 7 or 14 days. Thirty healthy male subjects received 100 mg caffeine, 100 mg metoprolol, 0.03 mg kg(-1) midazolam, 20 mg omeprazole and 10 mg warfarin individually and in combination (cocktail). Poor metabolizers of CYP2C9, 2C19 and 2D6 were excluded. Plasma samples were obtained up to 48 h for caffeine, metoprolol and omeprazole, 12 h for midazolam, 312 h for warfarin and the cocktail. Three different validated liquid chromatography tandem mass spectrometry methods were used. Noncompartmental PK parameters were calculated. Log-transformed C(max), AUC(last) and AUC for each analyte were analysed with a linear mixed effects model with fixed term for treatment, sequence and period, and random term for subject within sequence. Point estimates (90% CI) for treatment ratios (individual/cocktail) were computed for each analyte C(max), AUC(last) and AUC. There was no PK interaction between the probe drugs when administered in combination as a cocktail, relative to the probes administered alone, as the 90% CI of the PK parameters was within the prespecified bioequivalence limits of 0.80, 1.25. The lack of interaction between probes indicates that this cocktail could be used to evaluate the potential for multiple drug-drug interactions in vivo.

The promise of combinational drug therapies for cancer is hindered by the high failure rate of Phase I trials, perhaps attributable to the inavailability of an integrated source of toxicity data for cancer drugs to aid clinicians and biostatisticians designing trials. To this end, we developed DrugCombo, a knowledge base that integrates drug toxicity along with other data for single drugs and drug combinations from various sources. We extracted drug toxicity data from drug labels using the Microsoft Research Bidirectional Encoder Representations from Transformers for Biomedical Text Mining (MSR BiomedBERT) and manually from PubMed. DrugCombo is the first such database to contain crucial data, such as maximum tolerable dose (MTD), dose-limiting toxicity (DLT), and dose range, for Phase I clinical trial design as well as pharmacokinetics evidence of drug interaction among cancer drugs. Currently, DrugCombo has integrated 8797 drug interactions from DrugBank; 3995 severe adverse drug events (ADEs) and 95 535 common ADEs from drug labels; 1 816 030 ADEs from United States Food and Drug Administration Adverse Event Reporting System; and MTD and DLTs from 2592 Phase I trials. Using these data, we retrospectively investigated a Phase I trial of axitinib and nivolumab in 12 patients. Exploring the toxicity profile of each drug, we recognized that the initial study design may have overlooked overlap toxicity between them, leading to possibly excessive starting doses and dose ranges of axitinib and nivolumab. DrugCombo provides a comprehensive resource of toxicity data that will assist researchers designing Phase I trials in selecting appropriate starting doses and dose ranges for successful outcomes. Database URL: http://drugcombo.info/.

The National Heart, Lung, and Blood Institute (NHLBI) convened a Working Group on January 7, 2011, at George Washington University in Washington, DC, to provide recommendations to the NHLBI that would guide informed decisions on research directions and priorities in the field of cardiovascular