In Vitro BBB triculture assay and preliminary computational model development to predict brain exposure

体外血脑屏障三元培养试验和初步计算模型开发,用于预测脑暴露

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Abstract

INTRODUCTION: Neurotoxicity is a critical liability for many environmental pollutants. Current in vitro neurotoxicity screens rely on direct exposure of cultured neurons to xenobiotics, often at exceeding physiologically relevant levels due to the restrictive nature of the blood -brain barrier (BBB). This limitation reduces the accuracy of central nervous system (CNS) exposure predictions. METHODS: To address this limitation, we have developed a novel human in vitro direct-contact triculture BBB model that more closely mimics the in vivo barrier. The triculture is formed by layering primary astrocytes, primary pericytes, and then brain microvessel endothelial cells (BMECs, HBEC-5i) in direct contact, increasing the restrictive nature of tight junctions and allowing cell -cell signaling that mimics the configuration found in the in vivo BBB. Using this model, we quantified the apparent bidirectional permeability (P(app)) of more than 50 compounds, including environmental pollutants and CNS drugs, primarily by paracellular, passive transcellular and transporter-mediated pathways, to help develop a risk of exposure. In parallel with our in vitro BBB model, we are using the high-throughput toxicokinetics (HTTK) R library developed by the U.S. Environmental Protection Agency (EPA) as our model to predict brain exposure. RESULTS: The triculture model demonstrated enhanced tight junction organization and increased efflux transporter expression compared with endothelial monocultures, indicating an improved barrier phenotype. Using our measured bidirectional Papp values, calculated efflux ratios, and EPA physiologically based pharmacokinetic (PBTK) reference data for compound parameters, we are developing predictions of toxicant accumulation in the brain parenchyma after chronic exposure in steady state. DISCUSSION: Integration of in vitro BBB permeability measurements with toxicokinetic modeling provides a physiologically relevant approach to predict CNS exposure and neurotoxicity risk. Through the development of this model, we postulate that future investigators could simply perform in vitro BBB permeability studies to determine the relative risk of potential brain accumulation and the risk of neurotoxicity.

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