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    In vitro models and systems for evaluating the dynamics of drug delivery to the healthy and diseased brain

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    Date
    2018
    Author
    Modarres H.P.
    Janmaleki M.
    Novin M.
    Saliba J.
    El-Hajj F.
    RezayatiCharan M.
    Seyfoori A.
    Sadabadi H.
    Vandal M.
    Nguyen M.D.
    Hasan A.
    Sanati-Nezhad A.
    ...show more authors ...show less authors
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    Abstract
    The blood-brain barrier (BBB) plays a crucial role in maintaining brain homeostasis and transport of drugs to the brain. The conventional animal and Transwell BBB models along with emerging microfluidic-based BBB-on-chip systems have provided fundamental functionalities of the BBB and facilitated the testing of drug delivery to the brain tissue. However, developing biomimetic and predictive BBB models capable of reasonably mimicking essential characteristics of the BBB functions is still a challenge. In addition, detailed analysis of the dynamics of drug delivery to the healthy or diseased brain requires not only biomimetic BBB tissue models but also new systems capable of monitoring the BBB microenvironment and dynamics of barrier function and delivery mechanisms. This review provides a comprehensive overview of recent advances in microengineering of BBB models with different functional complexity and mimicking capability of healthy and diseased states. It also discusses new technologies that can make the next generation of biomimetic human BBBs containing integrated biosensors for real-time monitoring the tissue microenvironment and barrier function and correlating it with the dynamics of drug delivery. Such integrated system addresses important brain drug delivery questions related to the treatment of brain diseases. We further discuss how the combination of in vitro BBB systems, computational models and nanotechnology supports for characterization of the dynamics of drug delivery to the brain.

    DOI/handle
    http://dx.doi.org/10.1016/j.jconrel.2018.01.024
    http://hdl.handle.net/10576/12296
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    • Mechanical & Industrial Systems Engineering [‎448 ‎ items ]

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