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Latest Paper:
Yusuke Murata,
Daisuke Kobayashi,
Nanae Imuta,
Koichi Haraguchi,
Ichiro Ieiri,
Ryoji Nishimura,
Susumu Koyama,
Kazunori Mine
Department of Psychosomatic Medicine, Faculty of Pharmaceutical Sciences, Fukuoka University, Fukuoka, Japan.
Paroxetine discontinuation symptoms can at times be severe enough to reduce the quality of life. However, it is currently not possible to predict the occurrence of discontinuation syndrome before the initiation or discontinuation of paroxetine treatment. In this study, we investigated the effects of genetic polymorphisms in the serotonin 1A, 2A, 2C, 3A, and 3B receptor, the serotonin transporter, and the cytochrome P450 2D6 (CYP2D6) genes on the occurrence of paroxetine discontinuation syndrome. A consecutive series of 56 Japanese patients who had a diagnosis of major depressive or anxiety disorder according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, were treated with paroxetine. Paroxetine discontinuation syndrome was found in 35.7% of the patients by direct interview. Patients who stopped taking paroxetine abruptly experienced paroxetine discontinuation syndrome significantly more often than patients who had a tapering off of the dosage of medication. Patients who had the -1019C allele experienced paroxetine discontinuation syndrome more frequently than patients who had the -1019G homozygote (nominal P = 0.0423) of the serotonin 1A receptor gene. However, this result did not remain significant after the Bonferroni correction for multiple comparisons. The findings suggest that the abrupt stoppage of medication is a major risk factor for the occurrence of paroxetine discontinuation syndrome and that C(-1019)G polymorphism of the serotonin 1A receptor gene may be related to the occurrence of the syndrome.
Daisuke Kanda,
Hitoshi Takagi,
Yasutsugu Kawahara,
Yutaka Yata,
Tomofumi Takakusagi,
Takeshi Hatanaka,
Teruo Yoshinaga,
Keigo Iesaki,
Kenji Kashiwabara,
Tsugio Higuchi,
Masatomo Mori,
Takeshi Hirota,
Shun Higuchi,
Ichiro Ieiri
Department of Gastroenterology and Hepatology, Saiseikai Maebashi Hospital.
The Dubin-Johnson syndrome (DJS) is an inherited liver disorder characterized by conjugated hyperbilirubinemia and caused by ABCC2 gene mutations resulting in deficiency of multidrug resistance associated-protein 2 (MRP2) function. A 76-year-old woman with serious jaundice was referred to our hospital. She was clinically diagnosed with DJS with hepatic congestion, due to constrictive pericarditis. We analyzed all exons and exon-intron junctions of the ABCC2 gene by DNA sequencing and identified a new large-scale deletion, 1008 bp, including the whole exon 7, as homozygosity. Some mutations in the ABCC2 gene associated with splicing errors have been reported in intronic regions; however, this is a new type of large-scale deletion detectable in the genomic DNA sequence. Severe hyperbilirubinemia is rare in patients with constrictive pericarditis and this case suggests that MRP2 may play a crucial role in compensating for the serum bilirubin in congestive hepatopathy.
Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
AIMS: To develop a novel warfarin-dosing algorithm based on a previous population pharmacokinetic/pharmacodynamic (PK/PD) model with Bayesian forecasting to facilitate warfarin therapy. MATERIALS & METHODS: Using information on CYP2C9 and VKORC1 genotypes, S-warfarin level, dose and international normalized ratio (INR) of prothrombin time, individual PK (apparent clearance of S-warfarin [CLs]) and PD (concentration resulting in 50% of E(max)[EC(50)]) parameters were determined by Bayesian forecasting for 45 Japanese patients. Maintenance doses were described by multiple linear regression using individually estimated PK/PD parameters and INR values. The validity of the model and a comparison with other dosing methods were evaluated by bootstrap resampling and a cross-validation method. RESULTS: The plasma concentration of S-warfarin and INR were accurately predicted from individual PK/PD parameters. The following final regression model for maintenance dose was obtained; maintenance dose = 11.2 x CLs + 0.91 x EC(50)+ 2.36 x INR - 9.67, giving a strong correlation between actual and predicted maintenance doses (r(2)= 0.944). Bootstrap resampling and cross-validation showed robustness and a superior predictive performance compared with other dosing methods. On the other hand, the predictability without actual measurements (S-warfarin and INR values) and Bayesian inference was comparable to other dosing methods. CONCLUSION: A novel algorithm, based on the population PK/PD model combined with Bayesian forecasting, gave precise predictions of maintenance dose, leading to individualized warfarin therapy.
Kyushu University, Graduate School of Pharmaceutical Sciences, Department of Clinical Pharmacokinetics, Fukuoka, Japan.
Recent pharmacogenomic/pharmacogenetic studies have disclosed important roles of drug transporters in the pharmacokinetic/pharmacodynamic (PK/PD) profiles of some clinically relevant drugs. It has concurrently been explained that variations in the drug transporter genes are associated with not only inter-individual but also inter-ethnic differences in PK/PD profiles of these drugs. This review focuses on two uptake and two efflux transporters. Organic anion transporting polypeptide (OATP) 1B1 and OATP1B3 are uptake transporters, specifically expressed in the liver, and considered important for drugs, particularly as their pharmacological target organ is the liver. Two ATP-binding cassette transporters, multi-drug resistance-associated protein 2 and breast cancer resistance protein, are efflux transporters, expressed in various human tissues, and considered particularly important for intestinal drug absorption and hepatic drug elimination. All 3-hydroxyl-3-methylglutaryl-CoA reductase inhibitors (statins) except fluvastatin are substrates for OATP1B1, but hepatobiliary (canalicular) efflux transporters differ among statins. In this review, we update the pharmacogenomic/pharmacogenetic properties of these transporters and their effects on PK/PD profiles of statins and other clinically relevant drugs. In addition, we describe a physiologically-based pharmacokinetic model for predicting the effects of changes in transporter activities on systemic and hepatic exposure to pravastatin.
Clinical Pharmacokinetics, Division of Clinical Pharmacy, Department of Medico-Pharmaceutical Sciences, Faculty of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.
OBJECTIVES: The combination of cisplatin and docetaxel shows a better cure rate against non-small-cell lung cancer than other drug combinations in clinical studies; however, severe myelosuppression and nephrotoxicity are dose-limiting factors. The purpose of this study was to establish a suitable dosing schedule to reduce adverse effects and improve the antitumour effects. METHODS: Cisplatin and docetaxel were administered i.p. to male ICR mice simultaneously, or sequentially with either cisplatin or docetaxel first followed by the second drug 12 h later (docetaxel-cisplatin and cisplatin-docetaxel groups). Antitumour effects of these schedules were also tested in C57BL/6N mice bearing Lewis lung carcinomas. KEY FINDINGS: The simultaneous docetaxel/cisplatin group showed the lowest survival rate and the highest blood urea nitrogen (BUN) concentration. Cisplatin concentrations in the plasma and kidney were higher in the simultaneous dosing group than the sequential dosing groups. Antitumour effect was the greatest in the docetaxel-cisplatin group. CONCLUSIONS: The docetaxel-cisplatin regimen inhibited tumour growth the best and reduced mortality and nephrotoxicity.
Hideyo Sugahara,
Chiharu Maebara,
Hisakazu Ohtani,
Masanori Handa,
Katsumi Ando,
Kazunori Mine,
Chiharu Kubo,
Ichiro Ieiri,
Yasufumi Sawada
Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
PURPOSE: Fluvoxamine (FVX) is metabolized by cytochrome P450 (CYP) 2D6 and CYP1A2 and inhibits CYP3A4. The aim of this study was to investigate the factors responsible for interindividual variability in the extent of interaction between FVX and alprazolam (ALP). METHODS: Blood samples were taken from 49 depressive patients to determine plasma concentration of FVX, ALP or both. Twenty-four samples were taken during the FVX-alone period, 21 samples during the ALP-alone period and 30 samples during the FVX-ALP period. Subjects were also genotyped for CYP2D6. RESULTS: The concentration-to-dose (C/D) ratio of ALP during the FVX-treatment period was significantly higher than that during the ALP-alone period. The CYP2D6 genotype affected neither the C/D ratios of FVX nor the extent of interaction. The mean C/D ratio of FVX in smokers was reduced by more than 30% in comparison with that in non-smokers. The mean C/D ratio of ALP in non-smokers was increased by FVX, while that in smokers was unchanged. CONCLUSIONS: The extent of interaction between FVX and ALP may be affected by smoking, which alters the C/D ratio of FVX. Therefore, when FVX and ALP are concomitantly administered, it should be noted that non-smokers may exhibit greater drug interaction than smokers.
Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University.
Intra- and inter-ethnic differences in pharmacokinetic and pharmacodynamic profiles of clinically relevant drugs are important issues not only for scenes of appropriate drug use in clinical settings but also for those of the drug development. Pharmacogenomics is extremely useful for understanding these racial differences. In this presentation, I will introduce pharmacogenomic concepts (e.g., single nucleotide polymorphisms (SNPs) and haplotype) for interpretation of racial differences in some drugs; pharmacogenomics of drug transporters such as OATP1B1 (organic anion transporting-polypeptide 1B1) and OCT1 (organic cation transporter 1) in pravastatin, metformin, and rosuvastatin will be discussed as model drugs.
Hiroshi Takane,
Katsuyuki Kawamoto,
Tomohiro Sasaki,
Kuniaki Moriki,
Kazuyo Moriki,
Hiroya Kitano,
Shun Higuchi,
Kenji Otsubo,
Ichiro Ieiri
Department of Hospital Pharmacy, Faculty of Medicine, Tottori University, Yonago, Japan.
INTRODUCTION: To explore severe toxicities induced by irinotecan-based chemotherapy and UGT1A1*6/*28 and SLCO1B1*15/*15 genotypes. CASE REPORT: A 66-year-old Japanese male diagnosed with left pharyngeal carcinoma (T2N2bM0, stage IVA) was treated with irinotecan (70 mg/m(2)) on days 1, 8 and 15 in combination with docetaxel (60 mg/m(2)) on day 1 of a 28-day cycle. After the first cycle, he suffered marked toxicities, including grade 4 diarrhea and febrile grade 4 neutropenia. Plasma concentrations of irinotecan, SN-38 and SN-38G were measured, and extensive accumulation of SN-38 was observed. Genotyping of UGT1A1 and OATP1B1 proteins showed UGT1A1*6/*28 and SLCO1B1*15/*15, respectively, which are known to lead to extremely low glucuronidation and transport activities of substrate drugs. CONCLUSION: The severe toxicities in this patient are attributable to the extensive accumulation of SN-38, which may result from a synergistic or additive effect of low metabolic (UGT1A1*6/*28) and transport (SLCO1B1*15/*15) capabilities.
Suttasinee Suwannakul,
Ichiro Ieiri,
Miyuki Kimura,
Kiyoshi Kawabata,
Hiroyuki Kusuhara,
Takeshi Hirota,
Shin Irie,
Yuichi Sugiyama,
Shun Higuchi
Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
The impact of SLCO1B1 polymorphism on the pharmacokinetics of olmesartan and on the pharmacokinetic interaction between pravastatin and olmesartan was investigated. On day 1, ten healthy volunteers took an oral dose (10 mg) of pravastatin. After a 3-day washout period, each subject received olmesartan medoxomil (10 mg) for 3 days. On day 8, they received olmesartan medoxomil (10 mg) and pravastatin (10 mg) concurrently, and pharmacokinetic profiles were compared with those in each single-dose phase with regard to the SLCO1B1 genotypes (*1b/*1b,*1b/*15, and *15/*15). In the single-dose phase, the mean C (max) and AUC(0-24) of olmesartan tended to be higher in *15/*15 subjects than in *1b/*1b subjects, while the mean CL( t )/F (+/-SD) in *15/*15 subjects was significantly lower than that in *1b/*1b subjects. No statistically significant differences were observed in any pharmacokinetic parameters between single-dose and co-administration phases for both pravastatin and RMS-416. These results suggest that OATP1B1 plays a role in the pharmacokinetics of olmesartan, and the co-administration of olmesartan does not affect the pharmacokinetics of pravastatin or its metabolite, RMS-416, although larger scale clinical studies are needed to confirm these observations due to the small sample size in the present study.
1Department of Pharmacy, Tottori University Hospital, Yonago, Japan, 2Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan. ieiri-ttr@umin.ac.jp.
Considerable interindividual variabilities in clinical efficacy and adverse events are sometimes recognized in the treatment of Type 2 diabetes mellitus with oral antihyperglycemic drugs. Metformin is the most commonly used biguanide in clinical practice, and also improves insulin resistance and reduces cardiovascular risk. However, certain patients taking metformin do not respond sufficiently. The molecular reasons for the variability in response to metformin are not clear. However, it has been recently suggested that genetic factors may be responsible for the variability. Metformin is not metabolized but is transported by at least two organic cation transporters (OCT), OCT1 and OCT2. Recently, genetic polymorphisms in OCT 1 and OCT2 have been found to be associated with changes in pharmacokinetic/pharmacodynamic responses to substrate drugs. This review focuses on the impact of the genetic polymorphism of organic cation transporters on transport activity, and the implications for the clinical efficacy of metformin.
