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Next-generation in vitro blood-brain barrier models: benchmarking and improving model accuracy.
Linville, Raleigh M; Searson, Peter C.
Affiliation
  • Linville RM; Institute for Nanobiotechnology, Johns Hopkins University, Baltimore, MD, USA.
  • Searson PC; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Fluids Barriers CNS ; 18(1): 56, 2021 Dec 07.
Article in En | MEDLINE | ID: mdl-34876171
ABSTRACT
With the limitations associated with post-mortem tissue and animal modelsIn vitro BBB models enable precise control of independent variables and microenvironmental cues, and hence play an important role in studying the BBB. Advances in stem cell technology and tissue engineering provide the tools to create next-generation in vitro BBB models with spatial organization of different cell types in 3D microenvironments that more closely match the human brain. These models will be capable of assessing the physiological and pathological responses to different perturbations relevant to health and disease. Here, we review the factors that determine the accuracy of in vitro BBB models, and describe how these factors will guide the development of next-generation models. Improving the accuracy of cell sources and microenvironmental cues will enable in vitro BBB models with improved accuracy and specificity to study processes and phenomena associated with zonation, brain region, age, sex, ethnicity, and disease state.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood-Brain Barrier / Pluripotent Stem Cells / Endothelial Cells / Cellular Microenvironment / Models, Biological Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Fluids Barriers CNS Year: 2021 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood-Brain Barrier / Pluripotent Stem Cells / Endothelial Cells / Cellular Microenvironment / Models, Biological Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Fluids Barriers CNS Year: 2021 Document type: Article Affiliation country: