• Korean Journal of Clinical Pharmacy
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• v.18 no.2
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• pp.84-96
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• 2008

In the recent, pharmacokinetic (PK)/pharmacodynamic (PD) modeling has appeared as a critical path tools in new drug development to optimize drug efficacy and safety. PK/PD modeling is the mathematical approaches of the relationships between PK and PD. This approach in new drug development can be estimated inaccessible PK and PD parameters, evaluated competing hypothesis, and predicted the response under new conditions. Additionally, PK/PD modeling provides the information about systemic conditions for understanding the pharmacology and biology. These advantages of PK/PD model development are to provide the early decision-making information in new drug development process, and to improve the prediction power for the success of clinical trials. The purpose of this review article is to summarize the PK/PD modeling process, and to provide the theoretical and practical information about widely used PK/PD models. This review also provides model schemes and the differential equations for the development of PK/PD model.

• Proceedings of the PSK Conference
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• 2002.10a
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• pp.223-224
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• 2002

Pharmacokinetic (PK) and pharmacodynamic (PD) study of a new reversible proton pump inhibitor (YH1885, Yuhan Pharmaceutical Co.) was done as a phase 1 clinical trial in Seoul national University Hospital Clinical trialcenter. Single dose of 60, 100, 150, 200, and 300mg were administered to total 20 healthy subjects under fasting state. Six subjects were given 100 mg after food and 12 subjects were given multiple doses of 150 and 300 mg every day for 7 days under fasting state. (omitted)

• Proceedings of the PSK Conference
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• 2002.10a
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• pp.218-219
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• 2002

In the past, the development of pharmacokinetic/pharmacodynamic (PK/PD) models for quantitating the time course of drug responses was mainly based on two types of models, the empirical effect compartment model that simply accounts for the delay between effect and plasma concentration (hysteresis) and the mechanism-based so-called indirect response model. The first approach traces back to a paper by Segre (1) and its application was popularized by Holford and Sheiner (2); indirect response models were introduced by Jusko's group (3). (omitted)

• Biomaterials and Biomechanics in Bioengineering
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• v.2 no.3
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• pp.127-141
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• 2015

Silver-based systems activated by low intensity direct current continue to be investigated as an alternative antimicrobial for infection prophylaxis and treatment. However there has been limited research on the quantitative characterization of the antimicrobial efficacy of such systems. The objective of this study was to develop a semi-mechanistic pharmacokinetic/pharmacodynamic (PK/PD) model providing the quantitative relationship between the critical system parameters and the degree of antimicrobial efficacy. First, time-kill curves were experimentally established for a strain of Staphylococcus aureus in a nutrientrich fluid environment over 48 hours. Based on these curves, a modified PK/PD model was developed with two components: a growing silver-susceptible bacterial population and a depreciating bactericidal process. The test of goodness-of-fit showed that the model was robust and had good predictability ($R^2>0.7$). The model demonstrated that the current intensity was positively correlated to the initial killing rate and the bactericidal fatigue rate of the system while the anode surface area was negatively correlated to the fatigue rate. The model also allowed the determination of the effective range of these two parameters within which the system has significant antimicrobial efficacy. In conclusion, the modified PK/PD model successfully described bacterial growth and killing kinetics when the bacteria were exposed to the electrically activated silver-titanium implant system. This modeling approach as well as the model itself can also potentially contribute to the development of optimal design strategies for other similar antimicrobial systems.

• Journal of Pharmaceutical Investigation
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• v.39 no.5
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• pp.373-379
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• 2009

This study was conducted to develop a pharmacokinetic-pharmacodynamic (PK/PD) model of a direct thrombin inhibitor, argatroban to predict the concentration-effect profiles in rats. Argatroban was i.v. injected to rats at 0. 2, 0.8 and 3.2 mg/kg doses (n = 4-5 per dose), and plasma drug levels were determined by a validated LC/MS/MS assay. The pharmacokinetics of argatroban was linear over the i.v. dose range studied. The thrombin time (TT) and the activated partial thromboplastin time (aPTT) were measured in rat plasma and they were found to linearly increase with increasing the dose. A 2-compartment pharmacokinetic model linked with an indirect response pharmacodynamic model was successfully utilized to evaluate the drug concentration-response relationship.

• Korean Journal of Clinical Pharmacy
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• v.22 no.3
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• pp.228-233
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• 2012

Purpose: The purpose of this study was to elucidate the effect of dissolved oxygen in alcohol to blood pressure of healthy persons. Methods: Subjects (n=30) were randomized in a double blind crossover study to receive 120 mL, 240 mL, 360 mL of alcohol (Korean spirit, 19.59 v/v%, dissolved oxygen is 8 ppm and 20 ppm). Blood alcohol concentration (BAC) and blood pressure were measured applying Lion SD-400 Alcolmeter$^{(R)}$ Breathalyser and Tensoval duo control. Pharmacokinetic parameters ($C_{max}$, $T_{max}$, $AUC_{last}$, $K_{el}$, $V_d$, Clearance) were calculated using Winnonlin$^{(R)}$ program. The difference of parameters and values were analysed by student t-test using Microsoft$^{(R)}$ Excel program. Results: The $AUC_{last}$ values of 8 ppm group and 20 ppm group in 240 ml administration were $6.15{\pm}2.60cg{\cdot}min/ml$, $5.33{\pm}1.84cg{\cdot}min/ml$ (p<0.05) and those in 360 mL were $11.93{\pm}5.70cg{\cdot}min/ml$, $10.33{\pm}4.60cg{\cdot}min/ml$ (p < 0.01), respectively. Thus, the $AUC_{last}$ was significantly decreased. On the other hands, there was a significant change in systolic blood pressure (SBP) after alcohol administration. All measured value after 360 mL of alcohol administration was significantly decreased (p < 0.01). Conclusions: The dissolved oxygen in alcoholic beverage has no effect on blood pressures but the alcohol administration has an effect on blood pressure. Thus, SBP can be used as a biomarker of alcohol administration and utilized in PK/PD modeling of alcohol.