A prospective study to assess the association between genotype, phenotype and Prakriti in individuals on phenytoin monotherapy

Background: Genetic 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 uni...

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Main Authors: Saket J. Thaker, Prajakta P. Gandhe, Charuta J. Godbole, Shital R. Bendkhale, Nitin B. Mali, Urmila M. Thatte, Nithya J. Gogtay
Format: Article
Language:English
Published: Elsevier 2017-01-01
Series:Journal of Ayurveda and Integrative Medicine
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0975947616303527
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spelling doaj-031a6e1331a14920b1291f112aea32d52020-11-24T23:30:56ZengElsevierJournal of Ayurveda and Integrative Medicine0975-94762017-01-0181374110.1016/j.jaim.2016.12.001A prospective study to assess the association between genotype, phenotype and Prakriti in individuals on phenytoin monotherapySaket J. ThakerPrajakta P. GandheCharuta J. GodboleShital R. BendkhaleNitin B. MaliUrmila M. ThatteNithya J. GogtayBackground: Genetic 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. Objective: To assess whether Prakriti can substitute phenotyping [therapeutic drug monitoring (TDM)] and genotyping in individualizing therapy with phenytoin in epilepsy patients. Methods and materials: This 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). Results: Total 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. Conclusions: We 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.http://www.sciencedirect.com/science/article/pii/S0975947616303527PharmacogenomicsAyurvedaEpilepsyTherapeutic drug monitoringCYP2C9CYP2C19
collection DOAJ
language English
format Article
sources DOAJ
author Saket J. Thaker
Prajakta P. Gandhe
Charuta J. Godbole
Shital R. Bendkhale
Nitin B. Mali
Urmila M. Thatte
Nithya J. Gogtay
spellingShingle Saket J. Thaker
Prajakta P. Gandhe
Charuta J. Godbole
Shital R. Bendkhale
Nitin B. Mali
Urmila M. Thatte
Nithya J. Gogtay
A prospective study to assess the association between genotype, phenotype and Prakriti in individuals on phenytoin monotherapy
Journal of Ayurveda and Integrative Medicine
Pharmacogenomics
Ayurveda
Epilepsy
Therapeutic drug monitoring
CYP2C9
CYP2C19
author_facet Saket J. Thaker
Prajakta P. Gandhe
Charuta J. Godbole
Shital R. Bendkhale
Nitin B. Mali
Urmila M. Thatte
Nithya J. Gogtay
author_sort Saket J. Thaker
title A prospective study to assess the association between genotype, phenotype and Prakriti in individuals on phenytoin monotherapy
title_short A prospective study to assess the association between genotype, phenotype and Prakriti in individuals on phenytoin monotherapy
title_full A prospective study to assess the association between genotype, phenotype and Prakriti in individuals on phenytoin monotherapy
title_fullStr A prospective study to assess the association between genotype, phenotype and Prakriti in individuals on phenytoin monotherapy
title_full_unstemmed A prospective study to assess the association between genotype, phenotype and Prakriti in individuals on phenytoin monotherapy
title_sort prospective study to assess the association between genotype, phenotype and prakriti in individuals on phenytoin monotherapy
publisher Elsevier
series Journal of Ayurveda and Integrative Medicine
issn 0975-9476
publishDate 2017-01-01
description Background: Genetic 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. Objective: To assess whether Prakriti can substitute phenotyping [therapeutic drug monitoring (TDM)] and genotyping in individualizing therapy with phenytoin in epilepsy patients. Methods and materials: This 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). Results: Total 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. Conclusions: We 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.
topic Pharmacogenomics
Ayurveda
Epilepsy
Therapeutic drug monitoring
CYP2C9
CYP2C19
url http://www.sciencedirect.com/science/article/pii/S0975947616303527
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