PubMed Health⌕ Search

Biomedical subjects

David E Leahy

Publications and source records attributed to David E Leahy.

3 recordsLinked to original sources

Prediction of in vivo tissue distribution from in vitro data. 2. Influence of albumin diffusion from tissue pieces during an in vitro incubation on estimated tissue-to-unbound plasma partition coefficients (Kpu).

PURPOSE: To determine the extent of albumin diffusion from tissue pieces into medium during in vitro incubations, to develop and assess the utility of mathematical models describing this effect on the estimation of tissue-to-unbound plasma partition coefficients (Kpu) of drug substances and to derive factors to correct for associated errors. METHODS: Twelve separate tissues were obtained from rats sacrificed by cervical dislocation, 48 h after an intravenous dose of 125I-human albumin, and tissue pieces incubated to determine the efflux of albumin into media over 2 to 4 h. A mathematical model was developed to predict and correct for the effect of albumin diffusion on the measured Kpu values of drugs. RESULTS: The model predicted that the effect of albumin diffusion from tissue pieces during in vitro incubation (ranging from 14 to 59% remaining in tissue) on Kpu values was generally minimal, except for compounds that are highly plasma bound and have a low measured Kpu. Under these circumstances, the measured Kpu substantially underestimates the true value. An equation was derived from readily available or measurable parameters to correct for this underestimation. CONCLUSIONS: Albumin diffuses from tissue pieces into protein free media during in vitro incubations until equilibrium is reached, defined by the albumin Kpu. Model predictions indicated that for the majority of compounds albumin diffusion would have a minimal effect on the measured Kpu value and that a correction factor could be calculated to account for any deviation.

Albumins↗

Prediction of in vivo tissue distribution from in vitro data. 3. Correlation between in vitro and in vivo tissue distribution of a homologous series of nine 5-n-alkyl-5-ethyl barbituric acids.

PURPOSE: To evaluate the ability to determine accurate in vivo tissue-to-unbound plasma distribution coefficients (Kpue) from in vitro data. METHODS: Fresh pieces of fifteen rat tissues/organs were incubated at 37 degrees C with a homologous series of nine barbiturates covering a wide range of lipophilicity (Log P 0.02 to 4.13). Steady-state in vivo Kpue values were estimated from the tissue and plasma concentrations following simultaneous dosing by constant rate i.v. infusion of all nine barbiturates. Drug concentrations in the tissues and media were determined by HPLC with UV or mass spectrometric detection. RESULTS: The pharmacokinetics of the barbiturate series following constant rate i.v. infusion indicated a range of clearance (0.49 to 30 ml x min(-1) x kg(-1)) and volume of distribution at steady state (0.51 to 1.9 l x kg(-1)) values. Good agreement was observed between the in vitro and in vivo Kpu values, although for the most lipophilic barbiturates the in vitro data underpredicted the in vivo tissue distribution for all tissues. CONCLUSION: The in vitro system for predicting the extent of in vivo tissue distribution works well for compounds of widely differing lipophilicity, although for the most lipophilic drugs it may result in an underprediction of in vivo values.

Animals↗

Progress in simulation modelling for pharmacokinetics.

Simulation models for the prediction of pharmacokinetics in humans and other mammalian species, which are based on the physiology and mechanistic models of absorption, distribution, metabolism and elimination are reviewed. The structure of such models is explained with reference to papers describing the mathematical details and alternative representations of organ flow and distribution. Approaches to the modelling of more complex tissues such as tumours and the liver are also reviewed as well as some specific transport processes such as biliary secretion and methods of ADME property estimation by experimental and in silico models. Specific approaches to the modelling of gastro-intestinal transit are explained as is the extension of the approach to simulating drug-drug interactions following co-administration of more than one drug.

Absorption↗