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Next-generation in vitro blood–brain barrier models: benchmarking and improving model accuracy
With the limitations associated with post-mortem tissue and animal models, In 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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650371/ https://www.ncbi.nlm.nih.gov/pubmed/34876171 http://dx.doi.org/10.1186/s12987-021-00291-y |
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author | Linville, Raleigh M. Searson, Peter C. |
author_facet | Linville, Raleigh M. Searson, Peter C. |
author_sort | Linville, Raleigh M. |
collection | PubMed |
description | With the limitations associated with post-mortem tissue and animal models, In 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. |
format | Online Article Text |
id | pubmed-8650371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86503712021-12-07 Next-generation in vitro blood–brain barrier models: benchmarking and improving model accuracy Linville, Raleigh M. Searson, Peter C. Fluids Barriers CNS Commentary With the limitations associated with post-mortem tissue and animal models, In 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. BioMed Central 2021-12-07 /pmc/articles/PMC8650371/ /pubmed/34876171 http://dx.doi.org/10.1186/s12987-021-00291-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Commentary Linville, Raleigh M. Searson, Peter C. Next-generation in vitro blood–brain barrier models: benchmarking and improving model accuracy |
title | Next-generation in vitro blood–brain barrier models: benchmarking and improving model accuracy |
title_full | Next-generation in vitro blood–brain barrier models: benchmarking and improving model accuracy |
title_fullStr | Next-generation in vitro blood–brain barrier models: benchmarking and improving model accuracy |
title_full_unstemmed | Next-generation in vitro blood–brain barrier models: benchmarking and improving model accuracy |
title_short | Next-generation in vitro blood–brain barrier models: benchmarking and improving model accuracy |
title_sort | next-generation in vitro blood–brain barrier models: benchmarking and improving model accuracy |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650371/ https://www.ncbi.nlm.nih.gov/pubmed/34876171 http://dx.doi.org/10.1186/s12987-021-00291-y |
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