PKQuest_Java: free, interactive physiologically based pharmacokinetic software package and tutorial
© Levitt et al; licensee BioMed Central Ltd. 2009
Received: 30 April 2009
Accepted: 5 August 2009
Published: 5 August 2009
Physiologically based pharmacokinetics (PBPK) uses a realistic organ model to describe drug kinetics. The blood-tissue exchange of each organ is characterized by its volume, perfusion, metabolism, capillary permeability and blood/tissue partition coefficient. PBPK applications require both sophisticated mathematical modeling software and a reliable complete set of physiological parameters. Currently there are no software packages available that combine ease of use with the versatility that is required of a general PBPK program.
The program is written in Java and is available for free download at http://www.pkquest.com/. Included in the download is a detailed tutorial that discusses the pharmacokinetics of 6 solutes (D2O, amoxicillin, desflurane, propofol, ethanol and thiopental) illustrated using experimental human pharmacokinetic data. The complete PBPK description for each solute is stored in Excel spreadsheets that are included in the download. The main features of the program are: 1) Intuitive and versatile interactive interface; 2) Absolute and semi-logarithmic graphical output; 3) Pre-programmed optimized human parameter data set (but, arbitrary values can be input); 4) Time dependent changes in the PBPK parameters; 5) Non-linear parameter optimization; 6) Unique approach to determine the oral "first pass metabolism" of non-linear solutes (e.g. ethanol); 7) Pulmonary perfusion/ventilation heterogeneity for volatile solutes; 8) Input and output of Excel spreadsheet data; 9) Antecubital vein sampling.
PKQuest_Java is a free, easy to use, interactive PBPK software routine. The user can either directly use the pre-programmed optimized human or rat data set, or enter an arbitrary data set. It is designed so that drugs that are classified as "extracellular" or "highly fat soluble" do not require information about tissue/blood partition coefficients and can be modeled by a minimum of user input parameters. PKQuest_Java, along with the included tutorial, could be used as the basis of an interactive, on-line, pharmacokinetic course.
Physiologically Based Pharmacokinetics (PBPK) refers to the approach of modeling drug kinetics using a realistic physiological description of the animal [1, 2]. The PBPK modeling approach has remained primarily in the realm of the specialist because of its requirement for both sophisticated mathematical software and a reliable set of physiological parameters describing the model organs. The PBPK software available as of 2002 was reviewed by Rowland et. al. . The software that has been adapted for PBPK modeling varies from general scientific computing packages (e.g. MATLAB) to biological and pharmacokinetic routines (e.g. ADAPT II, NONMEM, WinNonlin, SAAM) to proprietary software designed for specific applications that are difficult to adapt for general use (e.g. GastroPlus, Physiolab). More recently, Barboriak et. al. developed a freely distributed, dedicated PBPK model using JSim . None of these programs provide the combination of an easy to learn, intuitive interface with the wide-ranging features that are necessary for the most general applications.
PKQuest, a freely distributed general purpose PBPK program, was released in 2002 . It has now been used in the analysis of the pharmacokinetics of more then 30 different solutes in a series of publications [5–14]. Using and refining the same parameter set for this large number of disparate solutes provides increased confidence in the validity and generality of the physiological parameters. Because PKQuest was written in Maple (Maplesoft), it required the purchase, installation and some minimal training in Maple. The purpose of this paper is to introduce PKQuest_Java, a completely revised, Java based, interactive version of PKQuest. It is available for free download at http://www.pkquest.com/. It requires that a recent version of the Java Runtime Environment (JRE) is installed on the computer where it will be run. The main features and a brief tutorial on its use are described below. Since its interactive design is intuitive and there is little installation required, the easiest way to learn about it is to simply download and run it.
PBPK modeling presents an ideal approach to introduce students to the dependence of pharmacokinetics on the interaction between the physical chemical properties of a drug and physiology. Included in the download is a detailed tutorial that takes the student through the pharmacokinetics of a series of 6 solutes in the human (D2O, amoxicillin, desflurane, propofol, ethanol and thiopental) and two solutes in the rat (sevoflurane and propofol). These examples use actual experimental data and provide a good introduction to the major features of PKQuest_Java. All of the parameters for each solute are stored in Excel "example" files that are also included in the download. This tutorial could form the basis of an online pharmacokinetics course.
Intuitive and versatile interactive interface.
Absolute and semi-logarithmic graphical output.
Pre-programmed optimized human and rat parameter data set (but, arbitrary values can be input).
Time dependent changes in the PBPK parameters.
Non-linear parameter optimization.
Unique approach to determine the oral "first pass metabolism" of non-linear solutes such as ethanol.
Pulmonary perfusion/ventilation heterogeneity for volatile solutes.
Input and output of Excel spreadsheet data.
Antecubital vein sampling.
The pharmacokinetics of amoxicillin is discussed in the tutorial as an example of a typical "extracellular" solute for which the tissue/blood partition can be predicted from in vitro measurements of plasma binding. This drug class is selected by clicking the "Extracellular" box which activates 3 other input boxes (see Figure 2): 1) the free plasma fraction, 2) A factor that adjusts the default extracellular volume of each organ; and 3) A capillary permeability factor (= 1.0 for amoxicillin which is flow limited). In addition, a value needs to be entered in the renal clearance box (Figure 3).
Two "high fat soluble" drug classes are discussed in the tutorial as examples of drugs whose tissue/partition coefficient can be predicted from in vitro measurements of fat/water partition. The first are the volatile anesthetics, represented by modeling the experimental desflurane pharmacokinetics . Since the metabolism of most volatile anesthetics is negligible, their elimination rate is completely determined by the physiological ventilation parameters. This class is selected by clicking the "Volatile" check box and entering the values of blood/air, water/air and fat/water partition coefficients (see Figure 2). Optionally, the alveolar volume and ventilation rate can be input if they differ from the default values. A unique feature of PKQuest_Java is that it can be used to model perfusion-ventilation heterogeneity. The boxes labeled "Perf/vent stdF and stdV characterize the values of the perfusion and ventilation heterogeneity (normal value = 1). The long time kinetics of these solutes is dominated by the adipose tissue exchange and an accurate model requires a heterogeneous adipose perfusion . This is modeled in PKQuest_Java by two equal volume adipose compartments with different perfusion rates (see Figure 1). The second "high fat soluble" drug in the tutorial focuses on the pharmacokinetics of the non-volatile propofol  and is selected by clicking the Fat/water partition box and filling in the fat/water partition and, optionally, the fraction free in plasma (if it differs from the default value). The propofol experimental data that is modeled has a complex input (2 different constant inputs and 1 exponential input) which is illustrated in the tutorial.
One class where PBPK modeling is a necessity is for drugs with non-linear metabolism. For example, in order to accurately model the non-linear ethanol pharmacokinetics it is necessary to determine the Vmax and Km for the liver metabolism. This requires an accurate simulation of the liver tissue concentration through a modeling of liver perfusion. The tutorial focuses on ethanol and illustrates, through a series of problems, the main pharmacokinetic features of non-linear solutes. A unique feature of PKQuest_Java is that it provides a rigorous definition and procedure for determining "first pass metabolism" using two sets of experimental data: the blood concentration following 1) intravenous and 2) oral input. It uses the following procedure: Firstly, the non-linear PBPK parameters are determined using the IV input data. Secondly, the time course of the intestinal absorption that would produce the observed blood values following an oral input is determined. (The intestinal absorption is modeled in the form of the Hill equation). Finally, the IV input required to fit this same blood concentration data following oral input is determined and the "first pass metabolism" is defined as the difference between the calculated oral and IV inputs. Although this seems to be a complicated procedure, it is made simple and transparent in PKQuest_Java and is discussed in detail in the tutorial.
The above examples all used solutes for which the tissue/blood partition coefficient can be determined from in vitro measurements. Unfortunately, the great majority of solutes are exceptions to this. Although rough estimates (within a factor of about 2) of this partition can be made from drug structure algorithms, accurate estimates usually require direct animal measurement of tissue/plasma partition . This general partition case is illustrated in the tutorial using thiopental. It is selected by clicking the "tissue partition" check box and then clicking the "Partition" button (see Figure 2) which opens a table that requires the user to fill in the values of the tissue/plasma partition for each organ in the table.
The most important application of PBPK modeling is in the area of toxicokinetics and environmental risk assessment where it is essential to simulate local tissue concentrations under varying exposure conditions (e.g. rest, exercise, etc.) [17, 18]. For this analysis, the PBPK model must be able to simulate time dependent changes in the physiological parameters (e.g. ventilation rate, cardiac output, muscle blood flow). The design of PKQuest_Java provides a relatively simple procedure to model step changes in the PBPK parameters. One first develops (and saves in Excel files) separate models for each set of the constant PBPK parameters. Then, using an interactive option, one lists the order that the individual models are called and the time point when the switch is made and then the complete sequential set is run. This procedure is illustrated in the tutorial by the modeling of the experimental long time (6 day) washout of desflurane during a period when the subject's alveolar ventilation varied as the conditions varied from anesthesia to ambulatory .
PBPK modeling still remains a subject for specialists, primarily in the area of environmental risk assessment. Highly refined sophisticated software that satisfies regulatory requirements has been developed to meet these needs. PKQuest_Java is not designed as a substitute for these programs. In addition, PKQuest_Java makes no attempt to incorporate population modeling which adds another level of sophistication and training and is superbly described by NONMEM. PKQuest_Java is designed for the non-specialist who would like to attempt some PBPK modeling without acquiring detailed training or expensive software. In addition, it is hoped that PKQuest_Java along with the included tutorial can be used as an introduction to pharmacokinetics for students (possibly as an on-line tutorial). The version now being distributed is a first attempt and the author welcomes suggestions for modifying it to add additional features, make it more user friendly or increase its value as a student learning tool.
Availability and requirements
The jar file, tutorial and example files are now available for download from http://www.pkquest.com/
PKQuest_Java requires that a recent version of the Java Runtime Environment (JRE) is installed on the computer where it will be run.
The software application is freely available to anyone wishing to use it for non-commercial purposes, without restrictions such as the need for a material transfer agreement.
List of abbreviations used
Physiologically based pharmacokinetic modeling.
- Reddy MB, Yang RSH, Clewell HJ, Andersen ME: Physiologically Based Pharmacokinetic Modeling. 2005, Hoboken, New Jersey: Wiley-InterscienceView ArticleGoogle Scholar
- Edginton AN, Theil FP, Schmitt W, Willmann S: Whole body physiologically-based pharmacokinetic models: their use in clinical drug development. Expert Opin Drug Metab Toxicol. 2008, 4: 1143-1152. 10.1517/17425255.4.9.1143.View ArticlePubMedGoogle Scholar
- Rowland M, Balant L, Peck C: Physiologically based pharmacokinetics in drug development and regulatory science: a workshop report (Georgetown University, Washington, DC, May 2930, 2002). AAPS PharmSci. 2004, 6: E6-10.1208/ps060106.View ArticlePubMedGoogle Scholar
- Barboriak DP, MacFall JR, Viglianti BL, Dewhirst Dvm MW: Comparison of three physiologically-based pharmacokinetic models for the prediction of contrast agent distribution measured by dynamic MR imaging. J Magn Reson Imaging. 2008, 27: 1388-1398. 10.1002/jmri.21344.PubMed CentralView ArticlePubMedGoogle Scholar
- Levitt DG: PKQuest: a general physiologically based pharmacokinetic model. Introduction and application to propranolol. BMC Clin Pharmacol. 2002, 2: 5-10.1186/1472-6904-2-5.PubMed CentralView ArticlePubMedGoogle Scholar
- Levitt DG: PKQuest: capillary permeability limitation and plasma protein binding application to human inulin, dicloxacillin and ceftriaxone pharmacokinetics. BMC Clin Pharmacol. 2002, 2: 7-10.1186/1472-6904-2-7.PubMed CentralView ArticlePubMedGoogle Scholar
- Levitt DG: PKQuest: volatile solutes application to enflurane, nitrous oxide, halothane, methoxyflurane and toluene pharmacokinetics. BMC Anesthesiol. 2002, 2: 5-10.1186/1471-2253-2-5.PubMed CentralView ArticlePubMedGoogle Scholar
- Levitt DG: PKQuest: measurement of intestinal absorption and first pass metabolism application to human ethanol pharmacokinetics. BMC Clin Pharmacol. 2002, 2: 4-10.1186/1472-6904-2-4.PubMed CentralView ArticlePubMedGoogle Scholar
- Levitt DG: The use of a physiologically based pharmacokinetic model to evaluate deconvolution measurements of systemic absorption. BMC Clin Pharmacol. 2003, 3: 1-10.1186/1472-6904-3-1.PubMed CentralView ArticlePubMedGoogle Scholar
- Levitt DG: The pharmacokinetics of the interstitial space in humans. BMC Clin Pharmacol. 2003, 3: 3-10.1186/1472-6904-3-3.PubMed CentralView ArticlePubMedGoogle Scholar
- Levitt DG: Physiologically based pharmacokinetic modeling of arterial antecubital vein concentration difference. BMC Clin Pharmacol. 2004, 4: 2-10.1186/1472-6904-4-2.PubMed CentralView ArticlePubMedGoogle Scholar
- Levitt DG: Heterogeneity of human adipose blood flow. BMC Clin Pharmacol. 2007, 7: 1-10.1186/1472-6904-7-1.PubMed CentralView ArticlePubMedGoogle Scholar
- Levitt DG, Schnider TW: Human physiologically based pharmacokinetic model for propofol. BMC Anesthesiol. 2005, 5: 4-10.1186/1471-2253-5-4.PubMed CentralView ArticlePubMedGoogle Scholar
- Levitt DG, Schoemaker RC: Human physiologically based pharmacokinetic model for ACE inhibitors: ramipril and ramiprilat. BMC Clin Pharmacol. 2006, 6: 1-10.1186/1472-6904-6-1.PubMed CentralView ArticlePubMedGoogle Scholar
- Fagerholm U: Prediction of human pharmacokinetics evaluation of methods for prediction of volume of distribution. J Pharm Pharmacol. 2007, 59: 1181-1190. 10.1211/jpp.59.9.0001.View ArticlePubMedGoogle Scholar
- Schloerb PR, Friis-Hansen BJ, Edelman IS, Solomon AK, Moore FD: The measurement of total body water in the human subject by deuterium oxide dilution. J Clin Invest. 1950, 29: 1296-1310. 10.1172/JCI102366.PubMed CentralView ArticlePubMedGoogle Scholar
- Clewell Iii HJ, Andersen ME, Blaauboer BJ: On the incorporation of chemical-specific information in risk assessment. Toxicology Letters. 2008, 180: 100-109. 10.1016/j.toxlet.2008.06.002.View ArticleGoogle Scholar
- Thompson CM, Sonawane B, Barton HA, DeWoskin RS, Lipscomb JC, Schlosser P, Chiu WA, Krishnan K: Approaches for Applications of Physiologically Based Pharmacokinetic Models in Risk Assessment. Taylor & Francis. 2008, 11: 519-547.Google Scholar
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