Abstract:
:Central-nervous-system, physiologically based pharmacokinetic (PBPK) models predict exposure profiles in the brain, that is, the rate and extent of distribution. The current work develops one such model and presents improved methods for determining key input parameters. A simple linear regression statistical model estimates the passive permeability at the blood-brain barrier from brain uptake index data and descriptors, and a novel analysis extracts the relative active transport parameter from in vitro assays taking into consideration both paracellular transport and unstirred water layers. The integrated PBPK model captures the concentration profiles of both rate-restricted and effluxed compounds with high passive permeability. In many cases, compounds distribute rapidly into the brain and are, therefore, not rate limited. The PBPK model is then simplified to a straightforward equation to describe brain-to-plasma ratios at steady state. The equation can estimate brain penetration either from in vitro efflux data or from in vivo results from another species and, therefore, is a valuable tool in the discovery setting.
journal_name
J Pharm Scijournal_title
Journal of pharmaceutical sciencesauthors
Trapa PE,Belova E,Liras JL,Scott DO,Steyn SJdoi
10.1016/j.xphs.2015.12.005subject
Has Abstractpub_date
2016-02-01 00:00:00pages
965-971issue
2eissn
0022-3549issn
1520-6017pii
S0022-3549(15)00194-Xjournal_volume
105pub_type
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