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      3D self-organized microvascular model of the human blood-brain barrier with endothelial cells, pericytes and astrocytes

      , , , , ,
      Biomaterials
      Elsevier BV

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          Abstract

          <p class="first" id="P3">The blood-brain barrier (BBB) regulates molecular trafficking, protects against pathogens, and prevents efficient drug delivery to the brain. Models to date failed to reproduce the human anatomical complexity of brain barriers, contributing to misleading results in clinical trials. To overcome these limitations, a novel 3-dimensional BBB microvascular network model was developed via vasculogenesis to accurately replicate the <i>in vivo</i> neurovascular organization. This microfluidic system includes human induced pluripotent stem cell-derived endothelial cells, brain pericytes, and astrocytes as self-assembled vascular networks in fibrin gel. Gene expression of membrane transporters, tight junction and extracellular matrix proteins, was consistent with computational analysis of geometrical structures and quantitative immunocytochemistry, indicating BBB maturation and microenvironment remodeling. Confocal microscopy validated microvessel-pericyte/astrocyte dynamic contact-interactions. The BBB model exhibited perfusable and selective microvasculature, with permeability lower than conventional <i>in vitro</i> models, and similar to <i>in vivo</i> measurements in rat brain. This robust and physiologically relevant BBB microvascular model offers an innovative and valuable platform for drug discovery to predict neuro-therapeutic transport efficacy in pre-clinical applications as well as recapitulate patient-specific and pathological neurovascular functions in neurodegenerative disease. </p>

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          Author and article information

          Journal
          Biomaterials
          Biomaterials
          Elsevier BV
          01429612
          October 2018
          October 2018
          : 180
          : 117-129
          Article
          10.1016/j.biomaterials.2018.07.014
          6201194
          30032046
          dd0cc6dc-35db-412f-bdaf-b4f2046621d9
          © 2018

          https://www.elsevier.com/tdm/userlicense/1.0/

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