| Literature DB >> 28215648 |
Yoo-Seong Jeong1, Chang-Soon Yim2, Heon-Min Ryu3, Chi-Kyoung Noh4, Yoo-Kyung Song5, Suk-Jae Chung6.
Abstract
The objective of the current study was to determine the minimum permeability coefficient, P, needed for perfusion-limited distribution in PBPK. Two expanded kinetic models, containing both permeability and perfusion terms for the rate of tissue distribution, were considered: The resulting equations could be simplified to perfusion-limited distribution depending on tissue permeability. Integration plot analyses were carried out with theophylline in 11 typical tissues to determine their apparent distributional clearances and the model-dependent permeabilities of the tissues. Effective surface areas were calculated for 11 tissues from the tissue permeabilities of theophylline and its PAMPA P. Tissue permeabilities of other drugs were then estimated from their PAMPA P and the effective surface area of the tissues. The differences between the observed and predicted concentrations, as expressed by the sum of squared log differences with the present models were at least comparable to or less than the values obtained using the traditional perfusion-limited distribution model for 24 compounds with diverse PAMPA P values. These observations suggest that the use of a combination of the proposed models, PAMPA P and the effective surface area can be used to reasonably predict the pharmacokinetics of 22 out of 24 model compounds, and is potentially applicable to calculating the kinetics for other drugs. Assuming that the fractional distribution parameter of 80% of the perfusion rate is a reasonable threshold for perfusion-limited distribution in PBPK, our theoretical prediction indicates that the pharmacokinetics of drugs having an apparent PAMPA P of 1×10-6cm/s or more will follow the traditional perfusion-limited distribution in PBPK for major tissues in the body.Entities:
Keywords: Effective surface area of tissues; PAMPA permeability; PBPK modeling; Perfusion-limited model; Tissue distribution
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Year: 2017 PMID: 28215648 DOI: 10.1016/j.ejpb.2017.01.026
Source DB: PubMed Journal: Eur J Pharm Biopharm ISSN: 0939-6411 Impact factor: 5.571