Literature DB >> 32809952

Genotype-driven pharmacokinetic simulations of warfarin levels in Puerto Ricans.

Stephanie Reyes-González1, Camila de Las Barreras2, Gledys Reynaldo2, Leyanis Rodríguez-Vera2, Cornelis Vlaar1, Vilmali Lopez Mejias3,4, Jean-Christophe M Monbaliu5, Torsten Stelzer1,4, Victor Mangas6,7, Jorge Duconge1.   

Abstract

Objectives The inter-individual variability of warfarin dosing has been linked to genetic polymorphisms. This study was aimed at performing genotype-driven pharmacokinetic (PK) simulations to predict warfarin levels in Puerto Ricans. Methods Analysis of each individual dataset was performed by one-compartmental modeling using WinNonlin®v6.4. The k e of warfarin given a cytochrome P450 2C9 (CYP2C9) genotype ranged from 0.0189 to 0.0075 h-1. K a and V d parameters were taken from literature. Data from 128 subjects were divided into two groups (i.e., wild-types and carriers) and statistical analyses of PK parameters were performed by unpaired t-tests. Results In the carrier group (n=64), 53 subjects were single-carriers and 11 double-carriers (i.e., *2/*2, *2/*3, *2/*5, *3/*5, and *3/*8). The mean peak concentration (Cmax) was higher for wild-type (0.36±0.12 vs. 0.32±0.14 mg/L). Likewise, the average clearance (CL) parameter was faster among non-carriers (0.22±0.03 vs. 0.17±0.05 L/h; p=0.0001), with also lower area under the curve (AUC) when compared to carriers (20.43±6.97 vs. 24.78±11.26 h mg/L; p=0.025). Statistical analysis revealed a significant difference between groups with regard to AUC and CL, but not for Cmax. This can be explained by the variation of k e across different genotypes. Conclusions The results provided useful information for warfarin dosing predictions that take into consideration important individual PK and genotyping data.

Entities:  

Keywords:  zzm321990CYP2C9 polymorphisms; Puerto Ricans; genotype; pharmacokinetics; simulations; warfarin

Year:  2020        PMID: 32809952      PMCID: PMC7892629          DOI: 10.1515/dmdi-2020-0135

Source DB:  PubMed          Journal:  Drug Metab Pers Ther        ISSN: 2363-8915


  16 in total

1.  A pharmacometric model describing the relationship between warfarin dose and INR response with respect to variations in CYP2C9, VKORC1, and age.

Authors:  A-K Hamberg; M Wadelius; J D Lindh; M L Dahl; R Padrini; P Deloukas; A Rane; E N Jonsson
Journal:  Clin Pharmacol Ther       Date:  2010-04-21       Impact factor: 6.875

2.  Influence of genetic polymorphisms in cytochrome P450 oxidoreductase on the variability in stable warfarin maintenance dose in Han Chinese.

Authors:  Wu-Tao Zeng; Qing Xu; Cheng-Hsun Li; Wei-Yan Chen; Xiu-Ting Sun; Xiang Wang; Yi-Ying Yang; Hui Shi; Zhi-Sheng Yang
Journal:  Eur J Clin Pharmacol       Date:  2016-08-04       Impact factor: 2.953

3.  Clinical benefits of pharmacogenetic algorithm-based warfarin dosing: meta-analysis of randomized controlled trials.

Authors:  Xiaoqi Li; Jie Yang; Xuyun Wang; Qiang Xu; Yuxiao Zhang; Tong Yin
Journal:  Thromb Res       Date:  2015-01-17       Impact factor: 3.944

4.  Development of a pharmacogenetic-guided warfarin dosing algorithm for Puerto Rican patients.

Authors:  Alga S Ramos; Richard L Seip; Giselle Rivera-Miranda; Marcos E Felici-Giovanini; Rafael Garcia-Berdecia; Yirelia Alejandro-Cowan; Mohan Kocherla; Iadelisse Cruz; Juan F Feliu; Carmen L Cadilla; Jessica Y Renta; Krystyna Gorowski; Cunegundo Vergara; Gualberto Ruaño; Jorge Duconge
Journal:  Pharmacogenomics       Date:  2012-12       Impact factor: 2.533

5.  Genetic factors associated with patient-specific warfarin dose in ethnic Indonesians.

Authors:  Ivet M Suriapranata; Wen Ye Tjong; Tingliang Wang; Andi Utama; Sunu B Raharjo; Yoga Yuniadi; Susan Sw Tai
Journal:  BMC Med Genet       Date:  2011-06-06       Impact factor: 2.103

6.  Clinical and genetic determinants of warfarin pharmacokinetics and pharmacodynamics during treatment initiation.

Authors:  Inna Y Gong; Ute I Schwarz; Natalie Crown; George K Dresser; Alejandro Lazo-Langner; GuangYong Zou; Dan M Roden; C Michael Stein; Marc Rodger; Philip S Wells; Richard B Kim; Rommel G Tirona
Journal:  PLoS One       Date:  2011-11-16       Impact factor: 3.240

7.  Genotype-guided versus traditional clinical dosing of warfarin in patients of Asian ancestry: a randomized controlled trial.

Authors:  Nicholas L Syn; Andrea Li-Ann Wong; Soo-Chin Lee; Hock-Luen Teoh; James Wei Luen Yip; Raymond Cs Seet; Wee Tiong Yeo; William Kristanto; Ping-Chong Bee; L M Poon; Patrick Marban; Tuck Seng Wu; Michael D Winther; Liam R Brunham; Richie Soong; Bee-Choo Tai; Boon-Cher Goh
Journal:  BMC Med       Date:  2018-07-10       Impact factor: 8.775

8.  Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Pharmacogenetics-Guided Warfarin Dosing: 2017 Update.

Authors:  J A Johnson; K E Caudle; L Gong; M Whirl-Carrillo; C M Stein; S A Scott; M T Lee; B F Gage; S E Kimmel; M A Perera; J L Anderson; M Pirmohamed; T E Klein; N A Limdi; L H Cavallari; M Wadelius
Journal:  Clin Pharmacol Ther       Date:  2017-04-04       Impact factor: 6.875

Review 9.  Warfarin Pharmacogenomics in Diverse Populations.

Authors:  Justin B Kaye; Lauren E Schultz; Heidi E Steiner; Rick A Kittles; Larisa H Cavallari; Jason H Karnes
Journal:  Pharmacotherapy       Date:  2017-09-06       Impact factor: 4.705

10.  A Proposal for an Individualized Pharmacogenetic-Guided Warfarin Dosage Regimen for Puerto Rican Patients Commencing Anticoagulation Therapy.

Authors:  Luis Ángel Bermúdez Bosch
Journal:  J Pharmacogenomics Pharmacoproteomics       Date:  2014-01-25
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