A significant association between CYP2C9 (*1,*2,*3) genotype and VKORC1 (1639 G>A) haplotype status has been found with increased bleeding tendency to warfarin. This may help to individualize therapy.
BackgroundGenetic polymorphisms in drug metabolizing enzymes (DMEs) impart distinct drug metabolizing capacity and a unique phenotype to an individual. Phenytoin has large inter-individual variability in metabolism due to polymorphisms in CYP2C9 and CYP2C19. As per Ayurveda, Prakriti imparts a unique phenotype to an individual.ObjectiveTo assess whether Prakriti can substitute phenotyping [therapeutic drug monitoring (TDM)] and genotyping in individualizing therapy with phenytoin in epilepsy patients.Methods and materialsThis was a cross-sectional study conducted over a period of three years. Prakriti was assessed using standardized and validated software. Polymorphisms in CYP2C9 and CYP2C19 were assessed using Polymerase Chain Reaction (PCR)-Restriction fragment length polymorphism (PCR-RFLP). Plasma concentrations of phenytoin (phenotype) were determined using reverse phase-high performance liquid chromatography (RF-HPLC).ResultsTotal 351 patients were enrolled for the study. Kapha vata (KV) (39%) was the predominantly observed Prakriti followed by vata kapha (VK) (20.8%) and vata pitta (VP) (8.83%) among the patients. The CYP2C9 and CYP2C19 genotype distributions were in accordance with Hardy–Weinberg equilibrium. There was no association between Prakriti and genotypes and Prakriti and phenotype (p > 0.05 each). Patients with CYP2C9 *1/*3 genotype were thrice more likely to have toxic plasma concentrations of phenytoin as compared to those with wild-type genotype (*1/*1) (Adjusted odds ratio – 3.36; 95% C.I. 1.61, 7.01). However, no such association was observed between polymorphisms of CYP2C19 and phenotype.ConclusionsWe did not find any association between Prakriti and either phenotype or genotypes suggesting that Prakriti assessment would be of limited utility in individualizing phenytoin therapy in epilepsy patients.
ObjectiveGenetic polymorphisms of CYP2C9 and VKORC1 play major role in pharmacokinetics and pharmacodynamics of warfarin, respectively. Purpose of our study was to assess the utility of pretesting patients for the above mutations in predicting tendency for bleeding and achieving target INR.MethodsThis was an audit of data collected between July 2011 and December 2016. For safety and efficacy, patients were divided into two subgroups: those with or without bleeding and those who achieved target INR or not. Chi square test was applied to compare the between group differences and crude Odds Ratio (cOR) calculated.ResultsAmong 521 patients evaluated, most common indication for warfarin therapy was valvular heart disease (210/521 = 40%); 36% (187/521) had at least one bleeding episode; 56% (269/479) had below target INR. 26% (136/521) had polymorphic alleles of CYP2C9 and 69% (358/521) had the GG haplotype of VKORC1. Polymorphic alleles of CYP2C9 or AG/AA haplotype had twice the odds of bleeding (cOR = 2.14 and 2.44 respectively) relative to those with wild CYP2C9 allele or GG haplotype. Combined CYP2C9 mutant alleles and/or AG/AA haplotypes had thrice the odds of bleeding (cOR = 3.12) relative to those with wild CYP2C9 alleles and GG haplotype. Those with GG haplotype had twice the odds (cOR = 1.81) and those with GG haplotype along with wild CYP2C9 allele had four times the odds (cOR = 4.27) of not achieving the target INR relative to those with other haplotype/alleles. All these associations were statistically significant (p < 0.05).ConclusionsPretesting patients for genetic polymorphisms could aid in individualizing warfarin therapy.
This study shows significant association between polymorphic alleles and phenytoin toxicity in this study population. However, until technology for genotyping becomes cost-effective, we would recommend Therapeutic Drug Monitoring to guide dosing.
Objectives:Cytochrome P4502E1 (CYP2E1) is involved in the metabolism of isoniazid and the mediation of its hepatotoxicity. It exhibits genetic polymorphism in humans. This study evaluated the polymorphism of CYP2E1 in adult healthy Western Indians and patients on antituberculous drugs by phenotyping and genotyping.Methods:A 500 mg single dose of chlorzoxazone (CZX) was administered to 136 healthy adult Western Indian participants. Venous blood samples 2 h postdose were analyzed for the levels of CZX and 6-hydroxy CZX, and the metabolic ratio (MR) was calculated to determine the extent of rapid and poor metabolizers using probit plot analysis. Patients on antituberculous drugs who had raised the liver enzymes or clinical symptoms of hepatotoxicity were also recruited. Genotyping for CYP2E1 * 5B allele was performed by polymerase chain reaction – rapid fragment length polymorphism technique.Results:A total of 139 healthy participants were enrolled, of which the final analysis consisted of data from 136 participants for genotyping and 137 for phenotyping. Only 1 participant had reported mild drowsiness 2 h postdose, and no other adverse events were observed. The median (range) MR of population was 0.2 (0.1–4.0), and no polymorphisms were detected using phenotype data. A total of 134/136 (98.5%) had c1/c1 genotype and 1/136 each (0.75%) had c1/c2 and c2/c2 genotypes, respectively. Of the 2/136 participants harboring c2 allele, one had MR of 0.1 (c1/c2) and another had 0.5 (c2/c2). A total of 25 cases of antituberculous drug-induced hepatotoxicity and 50 control patients were recruited, of which finally 22 cases and 49 controls were available for evaluation. All the cases had c1/c1 genotype while 42/49 (85.7%) controls had c1/c1, 6/49 (12.2%) had c1/c2, and 1/49 (2.1%) had c2/c2 genotype and the crude odds ratio was 7.9 (0.4, 145.6).Conclusions:A background prevalence of CYP2E1*B polymorphism and their activity in Western Indian population was observed. The study suggests no association between the CYP2E1 genotyping with antituberculous drug-induced hepatotoxicity.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.