OBJECTIVE: The purpose of this study was to identify the common time point that gives plasma concentrations of lansoprazole enantiomers that adequately reflect the AUC of racemic lansoprazole. METHODS: A randomized, double-blind, placebo-controlled, crossover study in three phases was conducted at intervals of 2 weeks. Eighteen healthy Japanese volunteers, including three CYP2C19 genotype groups, took a single 60-mg oral dose of lansoprazole after 6 days of pretreatment, with either clarithromycin (800 mg/day), fluvoxamine (50 mg/day), or a placebo. Multiple linear regression analysis was used to identify the most informative sampling times of (R)- and (S)-lansoprazole, using one to three samples to estimate the AUC(0-infinity) of racemic lansoprazole. RESULTS: The best R(2) in each prediction formula for the AUC of racemic lansoprazole using one, two, and three sampling points of (R)- and (S)-lansoprazole based on the data sets from all three pretreatment groups (n = 54) were 0.897, 0.930, and 0.929, respectively. The best prediction formula for the AUC of racemic lansoprazole, using the fewest sampling points of (R)- and (S)-lansoprazole, was AUC = 6.5 x C(3h) of (R)-lansoprazole + 13.7 x C(3h) of (S)-lansoprazole - 9,917.3 x G1 - 14,387.2 x G2 + 7,103.6 (P < 0.001), where C(3h) is the plasma concentration 3 h after administration, G1 = 1 for the homozygous extensive metabolizer (EM) and 0 for the other genotypes, G2 = 1 for the heterozygous EM and 0 for the other genotypes. CONCLUSIONS: C(3h) monitoring of (R)- and (S)-lansoprazole is a useful time point to estimate the AUC of racemic lansoprazole. This method of plasma concentration monitoring at a few time points within 3 h might be more suitable for AUC estimation than CYP2C19 genotyping, particularly when lansoprazole is co-administered with CYP inhibitors.
RCT Entities:
OBJECTIVE: The purpose of this study was to identify the common time point that gives plasma concentrations of lansoprazole enantiomers that adequately reflect the AUC of racemic lansoprazole. METHODS: A randomized, double-blind, placebo-controlled, crossover study in three phases was conducted at intervals of 2 weeks. Eighteen healthy Japanese volunteers, including three CYP2C19 genotype groups, took a single 60-mg oral dose of lansoprazole after 6 days of pretreatment, with either clarithromycin (800 mg/day), fluvoxamine (50 mg/day), or a placebo. Multiple linear regression analysis was used to identify the most informative sampling times of (R)- and (S)-lansoprazole, using one to three samples to estimate the AUC(0-infinity) of racemic lansoprazole. RESULTS: The best R(2) in each prediction formula for the AUC of racemic lansoprazole using one, two, and three sampling points of (R)- and (S)-lansoprazole based on the data sets from all three pretreatment groups (n = 54) were 0.897, 0.930, and 0.929, respectively. The best prediction formula for the AUC of racemic lansoprazole, using the fewest sampling points of (R)- and (S)-lansoprazole, was AUC = 6.5 x C(3h) of (R)-lansoprazole + 13.7 x C(3h) of (S)-lansoprazole - 9,917.3 x G1 - 14,387.2 x G2 + 7,103.6 (P < 0.001), where C(3h) is the plasma concentration 3 h after administration, G1 = 1 for the homozygous extensive metabolizer (EM) and 0 for the other genotypes, G2 = 1 for the heterozygous EM and 0 for the other genotypes. CONCLUSIONS: C(3h) monitoring of (R)- and (S)-lansoprazole is a useful time point to estimate the AUC of racemic lansoprazole. This method of plasma concentration monitoring at a few time points within 3 h might be more suitable for AUC estimation than CYP2C19 genotyping, particularly when lansoprazole is co-administered with CYP inhibitors.
Authors: I Ieiri; Y Kishimoto; H Okochi; K Momiyama; T Morita; M Kitano; T Morisawa; Y Fukushima; K Nakagawa; J Hasegawa; K Otsubo; T Ishizaki Journal: Eur J Clin Pharmacol Date: 2001-09 Impact factor: 2.953
Authors: Magnus Christensen; Gunnel Tybring; Kazuo Mihara; Norio Yasui-Furokori; Juan Antonio Carrillo; Sara I Ramos; Katarina Andersson; Marja-Liisa Dahl; Leif Bertilsson Journal: Clin Pharmacol Ther Date: 2002-03 Impact factor: 6.875
Authors: T Furuta; K Ohashi; K Kosuge; X J Zhao; M Takashima; M Kimura; M Nishimoto; H Hanai; E Kaneko; T Ishizaki Journal: Clin Pharmacol Ther Date: 1999-05 Impact factor: 6.875
Authors: Katy H P Moore; Philip T Leese; Scott McNeal; Peter Gray; Stephen O'Quinn; Carole Bye; Mark Sale Journal: Clin Ther Date: 2002-04 Impact factor: 3.393