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    In vitro and computational modelling of drug delivery across the outer blood–retinal barrier

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    Authors
    Davies, Alys E.; orcid: 0000-0002-3489-0182
    Williams, Rachel L.
    Lugano, Gaia
    Pop, Serban R.
    Kearns, Victoria R.; orcid: 0000-0003-1426-6048
    Publication Date
    2020-02-14
    
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    Abstract
    The ability to produce rapid, cost-effective and human-relevant data has the potential to accelerate the development of new drug delivery systems. Intraocular drug delivery is an area undergoing rapid expansion, due to the increase in sight-threatening diseases linked to increasing age and lifestyle factors. The outer blood–retinal barrier (OBRB) is important in this area of drug delivery, as it separates the eye from the systemic blood flow. This study reports the development of complementary in vitro and in silico models to study drug transport from silicone oil across the OBRB. Monolayer cultures of a human retinal pigmented epithelium cell line, ARPE-19, were added to chambers and exposed to a controlled flow to simulate drug clearance across the OBRB. Movement of dextran molecules and release of ibuprofen from silicone oil in this model were measured. Corresponding simulations were developed using COMSOL Multiphysics computational fluid dynamics software and validated using independent in vitro datasets. Computational simulations were able to predict dextran movement and ibuprofen release, with all of the features of the experimental release profiles being observed in the simulated data. Simulated values for peak concentrations of permeated dextran and ibuprofen released from silicone oil were within 18% of the in vitro results. This model could be used as a predictive tool for drug transport across this important tissue.
    Citation
    Interface Focus, volume 10, issue 2, page 20190132
    Publisher
    The Royal Society
    URI
    http://hdl.handle.net/10034/624287
    Type
    article
    Description
    From Crossref journal articles via Jisc Publications Router
    History: epub 2020-02-14, issued 2020-02-14, ppub 2020-04-06
    Funder: Engineering and Physical Sciences Research Council; FundRef: 10.13039/501100000266; Grant(s): EP/R024839/1, EP/l000458/1, EP/K03952/1
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