Time filter

Source Type

He Y.-L.,Novartis | Ito H.,Novartis | Yamaguchi M.,Novartis | Terao S.,Novartis | And 3 more authors.
International Journal of Clinical Pharmacology and Therapeutics

Objective: To assess the effects of meal timing on the pharmacokinetics and pharmacodynamics of the dipeptidyl peptidase IV (DPP-4) inhibitor vildagliptin in Japanese patients with Type 2 diabetes. Methods: In this open-label, single-center crossover study, 12 Japanese patients with Type 2 diabetes were randomized to twice-daily vildagliptin 50 mg, administered 30 min before or immediately before breakfast and dinner for 7 days. After a 7-day washout period, patients received the other regimen. Blood samples were collected for the determination of vildagliptin, DPP-4, glucagon-like peptide-1 (GLP-1) and glucose. Results: Vildagliptin absorption appeared slower when administered 30 min before rather than immediately before meals (t maxabsolute range: 1.00 - 2.00 h vs. 0.33 - 1.58 h). Vildagliptin C max and AUC 0-8 h were essentially the same irrespective of meal timing (geometric mean ratio: C max 1.08 (90% CI; 0.92 - 1.26); AUC 0-8 h 0.97 (90% CI; 0.91 - 1.05)). Meal timing did not affect pharmacodynamics; complete DPP-4 inhibition (> 90%) was sustained for 8 h post-dose, and plasma active glucagon-like peptide-1 levels increased 2 - 3-fold from baseline. Fasting plasma glucose (FPG) and postprandial plasma glucose (PPPG) reductions from baseline did not differ significantly with meal timing (30 min before vs. immediately before: FPG, -8.9 vs. -5.8 mg/dl; adjusted AUE 0-4 h, -67.0 vs. -51.0 mgxh/dl). Vildagliptin was well tolerated. Conclusions: Dosing 30 min or immediately before meals did not affect vildagliptin pharmacokinetics or pharmacodynamics in Japanese patients with Type 2 diabetes. ©2012 Dustri-Verlag Dr. K. Feistle. Source

Man M.,Eli Lilly and Company | Farmen M.,Eli Lilly and Company | Dumaual C.,Eli Lilly and Company | Teng C.H.,National University of Singapore | And 7 more authors.
Journal of Clinical Pharmacology

The advent of high-throughput technologies has proven valuable in the assessment of genetic differences and their effects on drug activation, metabolism, disposition, and transport. However, most studies to date have focused on a small number of genes or few alleles, some of which are rare and therefore observed infrequently or lacked rigorous ethnic characterization, thus reducing the ability to extrapolate within and among populations. In this study, the authors comprehensively assessed the allele frequencies of 165 variants comprising 27 drug-metabolizing enzyme and transporter (DMET) genes from 2188 participants across 3 major ethnic populations: Caucasians, Africans, and East Asians. This sample size was sufficiently large to demonstrate genetic differences among these major ethnic groups while concomitantly confirming similarities among East Asian subpopulations (Korean, Han Chinese, and Japanese). A comprehensive presentation of allele and genotype frequencies is included in the online supplement, and 3 of the most widely studied cytochrome P450 (CYP) genes, CYP2D6, CYP2C19, and CYP2C9; 2 non-CYP enzymes, NAT1 and TMPT; and 2 transporter genes, SLCO1B1 and SLCO2B1, are presented herein according to ethnic classification. © 2010 The Author(s). Source

Ieiri I.,Kyushu University | Doi Y.,Kyushu University | Maeda K.,University of Tokyo | Sasaki T.,Kyushu University | And 7 more authors.
Journal of Clinical Pharmacology

The authors evaluated the contribution of the SLCO2B1 polymorphism to the pharmacokinetics of celiprolol at a microdose (MD) and therapeutic dose (TD) and compared pharmacokinetic proportionality between the 2 dose forms in 30 SLCO2B1 genotype-matched healthy volunteers. Three drugs (celiprolol, fexofenadine, and atenolol) were orally administered as a cassette dosing following the MD (totally 97.5 μg) and then a TD (100 mg) of celiprolol, with and without grapefruit juice. The mean AUC0-24 of celiprolol was lower in SLCO2B1*3/*3 individuals (775 ng•h/mL) than in *1/*3 (1097 ng•h/mL) and *1/*1 (1547 ng•h/mL) individuals following the TD, and this was confirmed in population pharmacokinetic analysis with statistical significances; however, SLCO2B1 genotype-dependent differences disappeared following the MD. Dose-normalized AUC of celiprolol at the MD was much lower than that at the TD, explained by the saturation of the efflux transporter. Thus, the effect of SLCO2B1 polymorphism on the AUC of celiprolol clearly observed only at the TD may be due to the saturation of the efflux transport systems. © 2012 The Author(s). Source

Yi S.,Seoul National University | Yi S.,Dong - A University | An H.,Seoul National University | Lee H.,Seoul National University | And 16 more authors.
Pharmacogenetics and Genomics

Results: On microarray analysis, 1071 of 1936 variants (>50% of markers) were found to be monomorphic. In a large number of genetic variants, the fixation index and Pearson's correlation coefficient of minor allele frequencies were less than 0.034 and greater than 0.95, respectively, among the three ethnic groups. PCA identified 47 genetic variants with multiple testing, but was unable to discriminate ethnic groups by the first three components. Multinomial least absolute shrinkage and selection operator analysis identified 269 genetic variants that showed different frequencies among the three ethnic groups. However, none of those variants distinguished between the three ethnic groups during subsequent PCA.Conclusion: Korean, Japanese, and Chinese populations are not pharmacogenetically distant from one another, at least with regard to drug disposition, metabolism, and elimination.Background: Interethnic differences in genetic polymorphism in genes encoding drug-metabolizing enzymes and transporters are one of the major factors that cause ethnic differences in drug response. This study aimed to investigate genetic polymorphisms in genes involved in drug metabolism, transport, and excretion among Korean, Japanese, and Chinese populations, the three major East Asian ethnic groups.Methods: The frequencies of 1936 variants representing 225 genes encoding drug-metabolizing enzymes and transporters were determined from 786 healthy participants (448 Korean, 208 Japanese, and 130 Chinese) using the Affymetrix Drug-Metabolizing Enzymes and Transporters Plus microarray. To compare allele or genotype frequencies in the high-dimensional data among the three East Asian ethnic groups, multiple testing, principal component analysis (PCA), and regularized multinomial logit model through least absolute shrinkage and selection operator were used. © 2014 Wolters Kluwer Health | Lippincott Williams & Wilkins. Source

Ieiri I.,Kyushu University | Nishimura C.,Kyushu University | Maeda K.,University of Tokyo | Sasaki T.,Kyushu University | And 8 more authors.
Pharmacogenetics and Genomics

Objectives: In this study, we evaluated (a) the contribution of SLCO1B3 and UGT1A polymorphisms to the pharmacokinetics of telmisartan in two forms, a microdose (MD) and a therapeutic dose (TD); (b) linkage disequilibrium (LD) between UGT1A1 and UGT1A3; and (c) linearity in the pharmacokinetics of telmisartan between the two forms. Methods: Telmisartan was orally administered at MD condition (100 μg), and then at TD condition (80 mg) to 33 healthy volunteers whose genotypes were prescreened by DMET Plus. Plasma concentrations of telmisartan and its glucuronide were measured by LC-MS/MS, and population pharmacokinetic analysis was performed. Results: No obvious effect of SLCO1B3 polymorphisms (334T>G, 699G>A, and rs11045585) on the pharmacokinetics of telmisartan was observed. The strong LD between UGT1A1*6 and UGT1A3*4a, and between UGT1A1*28 and UGT1A3*2a were observed. After both MD and TD administration, the mean area under the curve0-24 (±standard deviation) of telmisartan was significantly lower and higher in individuals with the UGT1A3*2a (TD, 1701±970 ng hr/ml; MD, 978±537 pg hr/ml) and *4a variants (TD, 5340±1168; MD, 3145±1093), respectively, compared with those in individuals with UGT1A3*1/*1 (TD, 2969±1456; MD, 1669±726). These results were quantitatively confirmed by population pharmacokinetic analysis. Nonlinearity of the dose-exposure relationship was observed between the MD and TD. Conclusion: The haplotypes of UGT1A3 significantly influenced pharmacokinetics of telmisartan and a strong LD between UGT1A1 genotype and UGT1A3 haplotype was observed. These findings are potentially of pharmacological and toxicological importance to the development and clinical use of drugs. © 2011 Wolters Kluwer Health | Lippincott Williams & Wilkins. Source

Discover hidden collaborations