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Miniaturization and Automation of a Human In Vitro Blood–Brain Barrier Model for the High-Throughput Screening of Compounds in the Early Stage of Drug Discovery

Abstract : Central nervous system (CNS) diseases are one of the top causes of death worldwide. As there is a difficulty of drug penetration into the brain due to the blood–brain barrier (BBB), many CNS drugs treatments fail in clinical trials. Hence, there is a need to develop effective CNS drugs following strategies for delivery to the brain by better selecting them as early as possible during the drug discovery process. The use of in vitro BBB models has proved useful to evaluate the impact of drugs/compounds toxicity, BBB permeation rates and molecular transport mechanisms within the brain cells in academic research and early-stage drug discovery. However, these studies that require biological material (animal brain or human cells) are time-consuming and involve costly amounts of materials and plastic wastes due to the format of the models. Hence, to adapt to the high yields needed in early-stage drug discoveries for compound screenings, a patented well-established human in vitro BBB model was miniaturized and automated into a 96-well format. This replicate met all the BBB model reliability criteria to get predictive results, allowing a significant reduction in biological materials, waste and a higher screening capacity for being extensively used during early-stage drug discovery studies.
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https://hal-univ-artois.archives-ouvertes.fr/hal-03472477
Contributor : Virginie Justin-Labonne Connect in order to contact the contributor
Submitted on : Friday, December 10, 2021 - 10:42:23 AM
Last modification on : Friday, January 21, 2022 - 3:31:26 AM
Long-term archiving on: : Friday, March 11, 2022 - 6:46:05 PM

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Elisa Moya, Elodie Vandenhaute, Eleonora Rizzi, Marie-Christine Boucau, Johan Hachani, et al.. Miniaturization and Automation of a Human In Vitro Blood–Brain Barrier Model for the High-Throughput Screening of Compounds in the Early Stage of Drug Discovery. Pharmaceutics, 2021, 13 (6), pp.892. ⟨10.3390/pharmaceutics13060892⟩. ⟨hal-03472477⟩

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