104 research outputs found
Effects of cytochrome P450 oxidoreductase genotypes on the pharmacokinetics of amlodipine in healthy Korean subjects
Background: The aim of this study was to investigate the effects of P450 oxidoreductase (POR) genetic polymorphisms on the pharmacokinetic parameters of amlodipine.
Methods: After a single 10-mg dose of amlodipine administration, 25 healthy male subjects completed genotyping for 12 single nucleotide polymorphisms (SNPs) of the POR genes, cytochrome P450 (CYP)3A4 g.25343G>A (CYP3A4*1G), and CYP3A5 g.12083G>A (CYP3A5*3). Stratified analysis and in silico analysis to predict the possible effects of given variants on splicing were performed.
Results: The maximum blood concentration (Cmax ) of amlodipine in carriers of g.57332T>C and g.56551G>A SNPs of the POR gene was statistically significantly different. In addition, T-allele carriers of g.57332T>C had a 21% higher Cmax than those with the CC genotype (p = .007). Subjects who carried the wild-type g.56551G>A allele also had a 1.12-fold significantly higher Cmax than subjects with mutant-type homozygous carriers (p = .033). In stratified analyses, g.57332T>C was significantly associated with a 1.3-fold increase in Cmax value in T-allele carriers compared with subjects with the CC genotype in CYP3A4 and CYP3A5 expressers. POR g.57332T>C increased the score above the threshold in both ESEfinder 3.0 and HSF 3.1.
Conclusion: This study identified a novel SNP of the POR gene, which affected amlodipine metabolism and may reduce interindividual variation in responses to amlodipine.ope
A Review of Modeling Approaches to Predict Drug Response in Clinical Oncology
Model-based approaches have emerged as important tools for quantitatively understanding temporal relationships between drug dose, concentration, and effect over the course of treatment, and have now become central to optimal drug development and tailored drug treatment. In oncology, the therapeutic index of a chemotherapeutic drug is typically narrow and a full dose-response relationship is not available, often because of treatment failure. Noting the benefits of model-based approaches and the low therapeutic index of oncology drugs, in recent years, modeling approaches have been increasingly used to streamline oncologic drug development through early identification and quantification of dose-response relationships. With this background, this report reviews publications that used model-based approaches to evaluate drug treatment outcome variables in oncology therapeutics, ranging from tumor size dynamics to tumor/biomarker time courses and survival response.ope
A Study on the Deterioration and On-line Diagnosis Equipment for Surge Protective Devices
๋ณธ ๋
ผ๋ฌธ์ ์์งํธ๋ณด๊ธฐ์ฉ ์จ๋ผ์ธ ์ง๋จ์ฅ์น์ ์ค๊ณ ๋ฐ ์ ์์ ๊ดํ์ฌ ์ฐ๊ตฌํ์๋ค. ์ ๊ธฐ์ ํน์ฑ ๋ณํ ๋ฐ ๊ฑด์ ์ฑ ๊ธฐ์ค์ ์ ์ํ๊ธฐ ์ํด์ ํ์ค ๋ ์ถฉ๊ฒฉ์ ๋ฅ(8/20ฮผs) 10 kA๋ฅผ ์ธ๊ฐํ์ฌ ๊ฐ์์ดํ ์คํ์ ์ํํ์๋ค. ์คํ๊ฒฐ๊ณผ๋ฅผ ๋ฐํ์ผ๋ก ๋์ค์ ๋ฅ, ๊ธฐ์ค์ ์ ๋ฐ ์ ํ์ ์์ ์ธก์ ํ ์ ์๋ ์จ๋ผ์ธ ์ง๋จ์ฅ์น๋ฅผ ์ ์ํ์๋ค. ๋์ค์ ๋ฅ ์ธก์ ํ๋ก๋ ์ ์ก์์ฆํญ๊ธฐ ๋ฐ ํด๋จํํ ์์๋ณ๋ฅ๊ธฐ๋ก ์ค๊ณํ์๊ณ , ๊ธฐ์ค์ ์ ์ธก์ ํ๋ก๋ ์ ํ์ ์ด๋ถ, ์ฐ์ฐ๋ถ, ๋์ค์ ๋ฅ ์ธก์ ๋ถ ๋ฐ ์ง๋ฅ๊ณ ์ ์ ๋ฐ์๋ถ๋ก ๊ตฌ์ฑํ์๋ค. ์ ํ์ ์ ์ธก์ ํ๋ก๋ ์์ง๋ฐ์๋ถ ๋ฐ ์ปคํ๋ง ํ๋ก๋ก ์ ์ํ์๋ค. ์ ์ํ ์ง๋จ์ฅ์น์ ๋
๋ฆฝ ์คํ๊ณ์์ ์ธก์ ๊ฐ ์ฐจ์ด๋ 3% ๋ฏธ๋ง์ผ๋ก ์ ํํ ์ง๋จ์ด ๊ฐ๋ฅํ๋ค.This thesis dealt with the deterioration and an on-line diagnosis equipment for surge protective device(SPD). An accelerated aging test was carried out using a 8/20ฮผs standard lightning impulse current to analyze the changes of electrical characteristics and to propose the diagnostic parameters and the criterion for deterioration of metal oxide varistor(MOV) which is the core component of SPDs.
The leakage current of MOV increased whereas the reference voltage decreased with the aging process. When they changed more than 10% compared with the initial values, the deterioration was accelerated. On the other hand, since there was little change in the clamping voltage, it could not be used to evaluate the deterioration but its waveform could be applied to verify the operation of varistor. In addition, the criterion of soundness MOV was proposed.
Based on the experimental results, an on-line diagnosis equipment for SPD was fabricated, which can measure total leakage current, reference and clamping voltage. The leakage current measurement circuit is composed of a low-noise amplifier and a clamp type zero-phase current transformer(ZCT). A linear controller, a data acquisition module, and a HVDC supply were used in the measurement of reference voltage. The clamping voltage measurement circuit consists of a surge generator and a coupling circuit.
In a calibration process, measurement error of the protype equipment was less than 3%. From the experimental results, it was confirmed that the proposed equipment is avaliable to diagnose the SPD condition in operation.๋ชฉ ์ฐจ โ
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๊ทธ๋ฆผ ๋ฐ ํ ๋ชฉ์ฐจ โ
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Abstract โ
ด
์ 1 ์ฅ ์ ๋ก 1
์ 2 ์ฅ ๊ด๋ จ ์ด๋ก 3
2.1 ์์ง์ ๋ฐ์ ๋ฐ ๋ณดํธ 3
2.2 ์ฐํ์์ฐํ ๋ฐ๋ฆฌ์คํฐ 7
2.3 ์ดํ์ง๋จ๊ธฐ์ 11
์ 3 ์ฅ ๊ฐ์์ดํ ์คํ 14
3.1 ์์ง๋ฐ์์ฅ์น 14
3.2 ์คํ๊ณ 20
3.3 ์ ๊ธฐ์ ํน์ฑ ๋ณํ 22
์ 4 ์ฅ ์์ง๋ณดํธ๊ธฐ ์ง๋จ์ฅ์น 30
4.1 ํ๋ก ์ค๊ณ 30
4.2 ์ง๋จ์ฅ์น ์ ์ 36
4.3 ์ ์ฉ ์คํ 38
์ 5 ์ฅ ๊ฒฐ ๋ก 42
์ฐธ ๊ณ ๋ฌธ ํ 4
Effects of SLCO1B1 and SLCO1B3 Genetic Polymorphisms on Valsartan Pharmacokinetics in Healthy Korean Volunteers
Purpose: This study aimed to examine OATP1B1 (SLCO1B1) and OATP1B3 (SLCO1B3) on the pharmacokinetics of valsartan. Twenty-five subjects were genotyped for 16 single-nucleotide polymorphisms of the SLCO1B1 and SLCO1B3 genes. Methods: After a single dose of 160 mg of valsartan was orally administered to healthy male volunteers, drug concentrations were assayed up to 48 h. The 25 subjects were genotyped for 16 single-nucleotide polymorphisms (SNPs) of the SLCO1B1 and SLCO1B3 genes. Subjects were classified into groups according to their SLCO1B1*1B haplotype; 23 subjects were carriers of SLCO1B1*1B and two subjects were included in the reference group with SLCO1B1*1A/*1A. Alternations of the splicing factor-binding site pattern caused by the given mutation were evaluated with the Human Splicing Finder (HSF) 3.1. Results: The subjects who carried SLCO1B1*1B showed a 2.3-fold higher clearance than those without the *1B haplotype. Mean Cmax and AUCinf were reduced by 45% and 54%, respectively, in the SLCO1B1*1B genotype group compared to the reference group with the *1A/*1A genotype (p < 0.01). The carriers of the rs4149153 T allele of SLCO1B3 had a 27% lower mean Cmax and a 1.5-fold higher Vd compared to homozygotic CC carriers (p < 0.05). In a combined analysis of SLCO1B1 and SLCO1B3, subjects not carrying SLCO1B1 *1B and carrying SLCO1B3 rs4149153 T allele showed a 1.6-fold higher clearance than those with the other genotypes, whereas mean Cmax and AUClast were reduced by 35% and 42%, respectively (p < 0.05), in the subjects. HSF 3.1 analysis showed that rs4149153 could cause alterations of the acceptor splice site (TAAATACTAAAGAC to TAAATATTAAAGAC) with scoring change (from 72.57 to 71.92, difference = -0.9). Conclusion: It was found that plasma exposure to valsartan is significantly decreased in SLCO1B1*1B carriers and carriers of the rs4149153 T allele of SLCO1B3, possibly as a result of increased hepatic uptake.ope
A Pharmacometric Model to Predict Chemotherapy-Induced Myelosuppression and Associated Risk Factors in Non-Small Cell Lung Cancer
Chemotherapy often induces severe neutropenia due to the myelosuppressive effect. While predictive pharmacokinetic (PK)/pharmacodynamic (PD) models of absolute neutrophil count (ANC) after anticancer drug administrations have been developed, their deployments to routine clinics have been limited due to the unavailability of PK data and sparseness of PD (or ANC) data. Here, we sought to develop a model describing temporal changes of ANC in non-small cell lung cancer patients receiving (i) combined chemotherapy of paclitaxel and cisplatin and (ii) granulocyte colony stimulating factor (G-CSF) treatment when needed, under such limited circumstances. Maturation of myelocytes into blood neutrophils was described by transit compartments with negative feedback. The K-PD model was employed for drug effects with drug concentration unavailable and the constant model for G-CSF effects. The fitted model exhibited reasonable goodness of fit and parameter estimates. Covariate analyses revealed that ANC decreased in those without diabetes mellitus and female patients. Using the final model obtained, an R Shiny web-based application was developed, which can visualize predicted ANC profiles and associated risk of severe neutropenia for a new patient. Our model and application can be used as a supportive tool to identify patients at the risk of grade 4 neutropenia early and suggest dose reduction.ope
Population Pharmacokinetics of Primaquine in the Korean Population
While primaquine has long been used for malaria treatment, treatment failure is common. This study aims to develop a population pharmacokinetic model of primaquine and its metabolite, carboxyprimaquine, and examine factors influencing pharmacokinetic variability. The data was obtained from a clinical study in 24 Korean subjects randomly assigned to normal and obese groups. The participants received primaquine 15 mg daily for 4 days and blood samples were collected at day 4. Pharmacokinetic modeling was performed with NONMEM and using simulations; the influences of doses and covariates on drug exposure were examined. A minimal physiology-based pharmacokinetic model connected with a liver compartment comprehensively described the data, with CYP450 mediated clearance being positively correlated with the body weight and CYP2D6 activity score (p < 0.05). In the simulation, while the weight-normalized area under drug concentration for primaquine in the obese group decreased by 29% at the current recommended dose of 15 mg, it became similar to the normal weight group at a weight-normalized dose of 3.5 mg/kg. This study has demonstrated that the body weight and CYP2D6 activity score significantly influence the pharmacokinetics of primaquine. The developed model is expected to be used as a basis for optimal malaria treatment in Korean patients.ope
Population pharmacokinetic analysis of diurnal and seasonal variations of plasma concentrations of cilostazol in healthy volunteers.
BACKGROUND: The background of this study was (1) to examine factors influencing cilostazol pharmacokinetics by developing a population model incorporating diurnal variation and other covariate effects and (2) to assess the feasibility of applying the developed model to determine the optimal dosing times.
METHODS: Data obtained from a cilostazol pharmacokinetic study consisting of 2 clinical trials (a single twice-a-day (BID) dosing trial in winter and a multiple BID dosing trial in summer) conducted in healthy Korean subjects were used for model building. A basic model was built, followed by a diurnal variation model, and then a final model was built incorporating covariates, including a seasonal difference. The optimal morning and evening dosing times were determined from simulations.
RESULTS: Diurnal variation in cilostazol pharmacokinetics was explained by the morning absorption rate constant being faster than in the evening, yielding values of 0.278 versus 0.234/h in summer, when 24- and 12-hour circadian rhythms were included in the model. The seasonal variation was explained by a 26.9% and a 31.8% decrease in the absorption rate constant and clearance, respectively, in winter compared with summer. Based on twice-a-day (BID) dosing, dosing times of 9 AM and 5 PM in summer and 10 AM and 7 PM in winter were expected to produce the smallest peak-to-peak fluctuations in cilostazol concentration, possibly minimizing unwanted effects of the drug.
CONCLUSIONS: This study demonstrated the intraday and interseasonal time-varying nature of cilostazol pharmacokinetics using a population modeling approach and developed a strategy for optimizing dosing times. It is suggested that these methods can be similarly applied to analyses and controls of other drugs that exhibit characteristics of time-varying pharmacokinetics.ope
Effect of Rifampicin on the Pharmacokinetics of Evogliptin in Healthy Volunteers
Purpose: Evogliptin (DA-1229) is a novel, potent, and selective dipeptidyl peptidase 4 (DPP-4) inhibitor for treating type 2 diabetes mellitus. This study investigates the effect of rifampicin on evogliptin pharmacokinetics.
Patients and methods: An open-label, crossover, one-sequence study was conducted on 12 healthy subjects. Reference baseline pharmacokinetic samples were collected on day 1 after the subjects were administered a single dose of 5 mg evogliptin. After a washout period, the subjects were administered 600 mg rifampicin once daily for 10 days, from days 8 to 17, for full induction of hepatic enzyme activity. On day 17, single doses of evogliptin (5 mg) were administered along with rifampicin (600 mg). The test pharmacokinetic samples were collected with a sampling schedule identical to that used for the reference.
Results: Maximum concentration (Cmax) and area under the plasma drug concentration-time curve (AUC0-96h) of evogliptin with and without co-administration of rifampicin were compared. Reference and test Cmax and AUC0-96h values of evogliptin were 4.70 ng/mL vs 4.86 ng/mL and 153.97 ngโh/mL vs 58.83 ngโh/mL, respectively. All adverse events were mild in intensity and considered unrelated to evogliptin administration.
Conclusion: Rifampicin decreased the AUC0-96h of evogliptin by 61.8% without significantly affecting Cmax. The mechanism underlying the decrease in AUC0-96h is thought to be the induction of cytochrome P450 (CYP), especially 3A, by rifampicin. The adverse events, none of which were serious, were not significantly altered by the concomitant administration of evogliptin and rifampicin. Nevertheless, it would be prudent that evogliptin dosing should be carefully considered when co-administered with CYP3A inducers.ope
Predicting the longitudinal changes of levodopa dose requirements in Parkinson's disease using item response theory assessment of real-world Unified Parkinson's Disease Rating Scale
Item response theory (IRT) has been recently adopted to successfully characterize the progression of Parkinson's disease using serial Unified Parkinson's Disease Rating Scale (UPDRS) measurements. However, it has yet to be applied in predicting the longitudinal changes of levodopa dose requirements in the real-world setting. Here we use IRT to extract two latent variables that represent tremor and non-tremor-related symptoms from baseline assessments of UPDRS Part III scores. We show that relative magnitudes of the two latent variables are strong predictors of the progressive increase of levodopa equivalent dose (LED). Retrospectively collected item-level UPDRS Part III scores and longitudinal records of prescribed medication doses of 128 patients with de novo PD extracted from the electronic medical records were used for model building. Supplementary analysis based on a subset of 36 patients with at least three serial assessments of UPDRS Part III scores suggested that the two latent variables progress at significantly different rates. A web application was developed to facilitate the use of our model in making individualized predictions of future LED and disease progression.ope
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