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The blood–brain barrier in health and disease: Important unanswered questions
Open accessAbstract
The blood vessels vascularizing the central nervous system exhibit a series of distinct properties that tightly control the movement of ions, molecules, and cells between the blood and the parenchyma. This “blood–brain barrier” is initiated during angiogenesis via signals from the surrounding neural environment, and its integrity remains vital for homeostasis and neural protection throughout life. Blood–brain barrier dysfunction contributes to pathology in a range of neurological conditions including multiple sclerosis, stroke, and epilepsy, and has also been implicated in neurodegenerative diseases such as Alzheimer’s disease. This review will discuss current knowledge and key unanswered questions regarding the blood–brain barrier in health and disease.
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Metadata
- Authors
- Profaci, C. P., Munji, R. N., Pulido, R. S., & Daneman, R.
- Venue
- Journal of Experimental Medicine
- Publisher
- Rockefeller University Press
- Published
- 2020-03-25
- Volume
- 217
- Issue
- 4
- ISSN
- 0022-1007 (ISSN-L)
- 1540-9538
- OpenAlex
- W3013784088
- Cited by
- 761
- References
- 69
- FWCI
- 29.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.