ArticleBMC clinical pharmacology2003
The use of a physiologically based pharmacokinetic model to evaluate deconvolution measurements of systemic absorption.
Article in BMC clinical pharmacology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Heterogeneity of human adipose blood flow.BMC clinical pharmacology · 2007Trial
- Monitoring the initial pulmonary absorption of two different beclomethasone dipropionate aerosols employing a human lung reperfusion model.Respiratory research · 2005Trial
- PKQuest: PBPK modeling of highly lipid soluble and extracellular solutes.ADMET & DMPK · 2019Article
- Quantitation of small intestinal permeability during normal human drug absorption.BMC pharmacology & toxicology · 2013Article
- PKQuest_Java: free, interactive physiologically based pharmacokinetic software package and tutorial.BMC research notes · 2009Article
- An efficient deconvolution algorithm for estimating oxygen consumption during muscle activities.Computer methods and programs in biomedicine · 2007Article
- Human physiologically based pharmacokinetic model for ACE inhibitors: ramipril and ramiprilat.BMC clinical pharmacology · 2006Article
- Human physiologically based pharmacokinetic model for propofol.BMC anesthesiology · 2005Article
- Physiologically based pharmacokinetic modeling of arterial - antecubital vein concentration difference.BMC clinical pharmacology · 2004Article
- The pharmacokinetics of the interstitial space in humans.BMC clinical pharmacology · 2003Article
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1 author.
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Abstract
backgroundAn unknown input function can be determined by deconvolution using the systemic bolus input function (r) determined using an experimental input of duration ranging from a few seconds to many minutes. The quantitative relation between the duration of the input and the accuracy of r is unknown. Although a large number of deconvolution procedures have been described, these routines are not available in a convenient software package.
methodsFour deconvolution methods are implemented in a new, user-friendly software program (PKQuest, http://www.pkquest.com). Three of these methods are characterized by input parameters that are adjusted by the user to provide the "best" fit. A new approach is used to determine these parameters, based on the assumption that the input can be approximated by a gamma distribution. Deconvolution methodologies are evaluated using data generated from a physiologically based pharmacokinetic model (PBPK). RESULTS AND
conclusionsThe 11-compartment PBPK model is accurately described by either a 2 or 3-exponential function, depending on whether or not there is significant tissue binding. For an accurate estimate of r the first venous sample should be at or before the end of the constant infusion and a long (10 minute) constant infusion is preferable to a bolus injection. For noisy data, a gamma distribution deconvolution provides the best result if the input has the form of a gamma distribution. For other input functions, good results are obtained using deconvolution methods based on modeling the input with either a B-spline or uniform dense set of time points.
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