Drug Concentration-Time Profile in the Plasma Following the Dissolution-Type Transdermal Delivery.

2003 ◽  
Vol 36 (1) ◽  
pp. 45-48 ◽  
Author(s):  
Daisuke Mori ◽  
Hideki Kawamata ◽  
Kakuji Tojo
Keyword(s):  
Drug Concentration ◽  
Transdermal Delivery ◽  
Time Profile ◽  
Concentration Time

Control of drug concentration-time profiles in vivo by zero-order transdermal delivery systems

1987 ◽  
Vol 6 (1) ◽  
pp. 99-106 ◽  
Author(s):  
T. Okano ◽  
M. Miyajima ◽  
F. Komada ◽  
G. Imanidis ◽  
S. Nishiyama ◽  
...  
Keyword(s):  
Drug Concentration ◽  
Transdermal Delivery ◽  
Delivery Systems ◽  
Zero Order ◽  
Time Profiles ◽  
Concentration Time

scholarly journals Use of an In Vitro Pharmacodynamic Model To Derive a Linezolid Regimen That Optimizes Bacterial Kill and Prevents Emergence of Resistance in Bacillus anthracis

2008 ◽  
Vol 52 (7) ◽  
pp. 2486-2496 ◽  
Author(s):  
A. Louie ◽  
H. S. Heine ◽  
K. Kim ◽  
D. L. Brown ◽  
B. VanScoy ◽  
...  
Keyword(s):  
Bacillus Anthracis ◽  
Drug Concentration ◽  
Human Subjects ◽  
Time Profile ◽  
Pharmacodynamic Model ◽  
Dose Fractionation ◽  
Serum Drug Concentration ◽  
Maximum Serum ◽  
Concentration Time

ABSTRACT Simulating the average non-protein-bound (free) human serum drug concentration-time profiles for linezolid in an in vitro pharmacodynamic model, we characterized the pharmacodynamic parameter(s) of linezolid predictive of kill and for prevention of resistance in Bacillus anthracis. In 10-day dose-ranging studies, the average exposure for ≥700 mg of linezolid given once daily (QD) resulted in >3-log CFU/ml declines in B. anthracis without resistance selection. Linezolid at ≤600 mg QD amplified for resistance. With twice-daily (q12h) dosing, linezolid at ≥500 mg q12 h was required for resistance prevention. In dose fractionation studies, killing of B. anthracis was predicted by the area under the time-concentration curve (AUC)/MIC ratio. However, resistance prevention was linked to the maximum serum drug concentration (C max)/MIC ratio. Monte Carlo simulations predicted that linezolid at 1,100 mg QD would produce in 96.7% of human subjects a free 24-h AUC that would match or exceed the average 24-h AUC of 78.5 mg·h/liter generated by linezolid at 700 mg QD while reproducing the shape of the concentration-time profile for this pharmacodynamically optimized regimen. However, linezolid at 700 mg q12h (cumulative daily dose of 1,400 mg) would produce an exposure that would equal or exceed the average free 24-h AUC of 90 mg·h/liter generated by linezolid at 500 mg q12h in 93.8% of human subjects. In conclusion, in our in vitro studies, the QD-administered, pharmacodynamically optimized regimen for linezolid killed drug-susceptible B. anthracis and prevented resistance emergence at lower dosages than q12h regimens. The lower dosage for the pharmacodynamically optimized regimen may decrease drug toxicity. Also, the QD administration schedule may improve patient compliance.

scholarly journals A General Fitting Function to Estimate Apparent Reaction Orders of Kinetic Profiles

2019 ◽  
Author(s):  
Robert Pollice
Keyword(s):  
Chemical Reactions ◽  
Catalyst Deactivation ◽  
Rapid Development ◽  
Product Inhibition ◽  
Time Profile ◽  
Time Data ◽  
Concentration Time ◽  
Wide Range ◽  
Reaction Orders

The rapid development of analytical methods in recent decades has resulted in a wide range of readily available and accurate reaction-monitoring techniques, which allow for easy determination of high-quality concentration-time data of chemical reactions. However, while the acquisition of kinetic data has become routine in the development of new chemical reactions and the study of their mechanisms, not all the information contained therein is utilized because of a lack of suitable analysis tools which unnecessarily complicates mechanistic studies. Herein, we report on a general method to analyze a single concentration-time profile of chemical reactions and extract information regarding the reaction order with respect to substrates, the presence of multiple kinetic regimes, and the presence of kinetic complexities, such as catalyst deactivation, product inhibition, and substrate decomposition.<br>

scholarly journals Development of a Physiologically Based Pharmacokinetic Model for Prediction of Ethanol Concentration-Time Profile in Different Organs

2020 ◽  
Author(s):  
Armin Sadighi ◽  
Lorenzo Leggio ◽  
Fatemeh Akhlaghi
Keyword(s):  
Pbpk Model ◽  
Organ Damage ◽  
Time Profile ◽  
Sensitivity Analyses ◽  
Pbpk Modeling ◽  
Time Curve ◽  
Physiologically Based Pharmacokinetic ◽  
Concentration Time ◽  
Physiologically Based

Abstract Aims A physiologically based pharmacokinetic (PBPK) modeling approach was used to simulate the concentration-time profile of ethanol (EtOH) in stomach, duodenum, plasma and other tissues upon consumption of beer and whiskey under fasted and fed conditions. Methods A full PBPK model was developed for EtOH using the advanced dissolution, absorption and metabolism (ADAM) model fully integrated into the Simcyp Simulator® 15 (Simcyp Ltd., Sheffield, UK). The prediction performance of the developed model was verified and the EtOH concentration-time profile in different organs was predicted. Results Simcyp simulation showed ≤ 2-fold difference in values of EtOH area under the concentration-time curve (AUC) in stomach and duodenum as compared to the observed values. Moreover, the simulated EtOH maximum concentration (Cmax), time to reach Cmax (Tmax) and AUC in plasma were comparable to the observed values. We showed that liver is exposed to the highest EtOH concentration, faster than other organs (Cmax = 839.50 mg/L and Tmax = 0.53 h), while brain exposure of EtOH (AUC = 1139.43 mg·h/L) is the highest among all other organs. Sensitivity analyses (SAs) showed direct proportion of EtOH rate and extent of absorption with administered EtOH dose and inverse relationship with gastric emptying time (GE) and steady-state volume of distribution (Vss). Conclusions The current PBPK model approach might help with designing in vitro experiments in the area of alcohol organ damage or alcohol-drug interaction studies.

scholarly journals Pharmacokinetics of Telavancin at Fixed Doses in Normal-Body-Weight and Obese (Classes I, II, and III) Adult Subjects

2018 ◽  
Vol 62 (4) ◽  
Author(s):  
Kristen L. Bunnell ◽  
Manjunath P. Pai ◽  
Monica Sikka ◽  
Susan C. Bleasdale ◽  
Eric Wenzler ◽  
...  
Keyword(s):  
Body Weight ◽  
Time Profile ◽  
Primary Objective ◽  
Fixed Dose ◽  
Target Area ◽  
Obese Patients ◽  
Time Curve ◽  
Content Type ◽  
Time Zero ◽  
Concentration Time

ABSTRACT A recommended total-body-weight (TBW) dosing strategy for telavancin may not be optimal in obese patients. The primary objective of this study was to characterize and compare the pharmacokinetics (PK) of telavancin across four body size groups: normal to overweight and obese classes I, II, and III. Healthy adult subjects ( n = 32) received a single, weight-stratified, fixed dose of 500 mg ( n = 4), 750 mg ( n = 8), or 1,000 mg ( n = 20) of telavancin. Noncompartmental PK analyses revealed that subjects with a body mass index (BMI) of ≥40 kg/m 2 had a higher volume of distribution (16.24 ± 2.7 liters) than subjects with a BMI of <30 kg/m 2 (11.71 ± 2.6 liters). The observed area under the concentration-time curve from time zero to infinity (AUC 0–∞ ) ranged from 338.1 to 867.3 mg · h/liter, with the lowest exposures being in subjects who received 500 mg. AUC 0–∞ values were similar among obese subjects who received 1,000 mg. A two-compartment population PK model best described the plasma concentration-time profile of telavancin when adjusted body weight (ABW) was included as a predictive covariate. Fixed doses of 750 mg and 1,000 mg had similar target attainment probabilities for efficacy as doses of 10 mg/kg of body weight based on ABW and TBW, respectively. However, the probability of achieving a target area under the concentration-time curve from time zero to 24 h of ≥763 mg · h/liter in association with acute kidney injury was highest (19.7%) with TBW-simulated dosing and lowest (0.4%) at the 750-mg dose. These results suggest that a fixed dose of 750 mg is a safe and effective alternative to telavancin doses based on TBW or ABW for the treatment of obese patients with normal renal function and Staphylococcus aureus infections. (This study has been registered at ClinicalTrials.gov under identifier NCT02753855.)

scholarly journals Pharmacodynamics of Isavuconazole in a DynamicIn VitroModel of Invasive Pulmonary Aspergillosis

2015 ◽  
Vol 60 (1) ◽  
pp. 278-287 ◽  
Author(s):  
Helen Box ◽  
Joanne Livermore ◽  
Adam Johnson ◽  
Laura McEntee ◽  
Timothy W. Felton ◽  
...  
Keyword(s):  
Invasive Pulmonary Aspergillosis ◽  
Pathogenic Fungi ◽  
Time Profile ◽  
Wild Type ◽  
Time Curve ◽  
Content Type ◽  
Concentration Time ◽  
Target Values ◽  
Maximal Suppression

ABSTRACTIsavuconazonium sulfate is a novel triazole prodrug that has been recently approved for the treatment of invasive aspergillosis by the FDA. The active moiety (isavuconazole) has a broad spectrum of activity against many pathogenic fungi. This study utilized a dynamicin vitromodel of the human alveolus to describe the pharmacodynamics of isavuconazole against two wild-type and two previously defined azole-resistant isolates ofAspergillus fumigatus. A human-like concentration-time profile for isavuconazole was generated. MICs were determined using CLSI and EUCAST methodologies. Galactomannan was used as a measure of fungal burden. Target values for the area under the concentration-time curve (AUC)/MIC were calculated using a population pharmacokinetics-pharmacodynamics (PK-PD) mathematical model. Isolates with higher MICs required higher AUCs in order to achieve maximal suppression of galactomannan. The AUC/MIC targets necessary to achieve 90% probability of galactomannan suppression of <1 were 11.40 and 11.20 for EUCAST and CLSI, respectively.

scholarly journals Concentration-time profile for perhexiline and hydroxyperhexiline in patients at steady state

2003 ◽  
Vol 57 (3) ◽  
pp. 263-269 ◽  
Author(s):  
Terry E. Jones ◽  
Raymond G. Morris ◽  
John D. Horowitz
Keyword(s):  
Steady State ◽  
Time Profile ◽  
Concentration Time
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