Prediction of human pharmacokinetic profile in animal scale up based on normalizing time course profiles.
نویسندگان
چکیده
The aim of the present study was to develop a method for predicting the concentration-time profile in humans based on pharmacokinetic data for animals. The method is based on the assumptions that concentration-time profiles of a drug are similar among species and "normalized curves" from a variety of animal species including humans can be superimposed. Normalized curves are obtained by normalizing the time axis with the MRT (mean residence time) and the concentration axis with dose/Vdss, where Vdss is the volume of distribution at steady state. The concentration-time profile in humans after intravenous injection can be simulated using the normalized curve for an animal and the predicted values of clearance (CL) and Vdss for humans. Although the general idea of our method is similar to the Dedrick plots, ours is superior in that it enables the use of predicted CL and Vdss values from any method. Our method was applied to some drugs using actual published data sets, and the assumption of the similarity of concentration-time profiles among species was found to be acceptable for these drugs. The results for the prediction of concentration-time profiles for humans were also acceptable. This method can be applied to any drug on the assumption that normalized curves from a variety of species can be superimposed.
منابع مشابه
Multivariate Feature Extraction for Prediction of Future Gene Expression Profile
Introduction: The features of a cell can be extracted from its gene expression profile. If the gene expression profiles of future descendant cells are predicted, the features of the future cells are also predicted. The objective of this study was to design an artificial neural network to predict gene expression profiles of descendant cells that will be generated by division/differentiation of h...
متن کاملMultivariate Feature Extraction for Prediction of Future Gene Expression Profile
Introduction: The features of a cell can be extracted from its gene expression profile. If the gene expression profiles of future descendant cells are predicted, the features of the future cells are also predicted. The objective of this study was to design an artificial neural network to predict gene expression profiles of descendant cells that will be generated by division/differentiation of h...
متن کاملComparative Pharmacokinetics of Levofloxacin in Healthy Volunteers and in Patients Suffering from Typhoid Fever
The aim of this study was to characterize the effect of typhoid fever on pharmacokinetic parameters of levofloxacin (LF) and compare the pharmacokinetic parameters of the said antibiotic in healthy human volunteers and patients with typhoid fever. Total of 12 subjects were divided into two groups “A” (healthy volunteers) and “B” (typhoid patients). Single oral dose of LF 500 mg was given and 5 ...
متن کاملHuman Pharmacokinetics Prediction
Drug development is very time consuming and costly process. Only few candidates enters in to clinical trials can eventually become a drug. Accurate prediction of the right dose before entering in to clinical study can reduce time as well as cost of drug discovery process. Pharmacokinetic plays an essential role in the selecting the right dose and dosage regimen [1-5]. Thus early prediction of h...
متن کاملComparative Pharmacokinetics of Levofloxacin in Healthy Volunteers and in Patients Suffering from Typhoid Fever
The aim of this study was to characterize the effect of typhoid fever on pharmacokinetic parameters of levofloxacin (LF) and compare the pharmacokinetic parameters of the said antibiotic in healthy human volunteers and patients with typhoid fever. Total of 12 subjects were divided into two groups “A” (healthy volunteers) and “B” (typhoid patients). Single oral dose of LF 500 mg was given and 5 ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Journal of pharmaceutical sciences
دوره 93 7 شماره
صفحات -
تاریخ انتشار 2004