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A Human Blood-Brain Interface Model to Study Barrier Crossings by Pathogens or Medicines and Their Interactions with the Brain
Published on: April 9, 2019
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A Human Brain-Chip for Modeling Brain Pathologies and Screening Blood-Brain Barrier Crossing Therapeutic Strategies
Shek Man Chim1,2, Kristen Howell1,2, Alexandros Kokkosis1,2
1Human Systems, Regeneron Pharmaceuticals, Tarrytown, NY 10591, USA.
Pharmaceutics
|October 26, 2024
Summary
This advanced Brain-Chip model uses human cells to accurately predict drug responses and disease mechanisms, overcoming limitations in brain disease research and treatment development.
Area of Science:
- Neuroscience
- Translational Medicine
- Biotechnology
Background:
- Preclinical models often fail to translate to human patients due to species differences in brain and blood-brain barrier (BBB) function.
- There is a critical need for advanced models that elucidate brain pathogenesis, cell-specific contributions, and cell-cell interactions.
- Human microphysiological systems (MPS), like Organ-Chips, offer a promising solution for modeling human brain diseases.
Purpose of the Study:
- To develop and validate an advanced human Brain-Chip model that recapitulates the human cortical parenchyma and BBB.
- To incorporate diverse human cell types, including induced pluripotent stem cell (hiPSC)-derived neurons, endothelial cells, microglia, astrocytes, and pericytes.
- To assess the model's utility in studying neuroinflammation and predicting therapeutic interventions.
Main Methods:
- Utilized a combination of primary human cells and hiPSC-derived cells (neurons, endothelial-like cells, microglia, astrocytes, pericytes).
- Emulated neuroinflammation using Tumor Necrosis Factor alpha (TNFα) to analyze cell-specific responses.
- Evaluated the Blood-Brain Barrier (BBB) crossing efficiency of therapeutic agents, including antibodies and adeno-associated viruses.
Main Results:
- The Brain-Chip model successfully recapitulated in vivo-relevant responses to neuroinflammation, including microglia-derived reactions.
- Demonstrated the model's sensitivity in capturing cell-specific contributions to human disease pathology.
- Achieved successful in vitro/in vivo correlation for predicting Blood-Brain Barrier (BBB) crossing of therapeutic agents.
Conclusions:
- The developed Brain-Chip serves as a reliable, time-efficient model for advancing brain disease therapeutics.
- The model provides valuable mechanistic insights into brain pathogenesis and drug response prediction.
- Highlights the significant potential of microphysiological systems (MPS) in translational research and drug discovery for neurological disorders.
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