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The Blood-Brain Barrier and Its Role in Inflammation

2000· article· en· W1974267026 on OpenAlexaff
Aubrey A. Webb, Gillian D. Muir

Bibliographic record

VenueJournal of Veterinary Internal Medicine · 2000
Typearticle
Languageen
FieldNeuroscience
TopicBarrier Structure and Function Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsBlood–brain barrierInflammationCentral nervous systemMedicineProteasesMatrix metalloproteinaseNeuroscienceCell adhesion moleculeImmunologyCell biologyBiologyBiochemistryEnzyme

Abstract

fetched live from OpenAlex

The unique microenvironment within the central nervous system (CNS) relies upon the integrity of the blood-brain barrier (BBB). This selectively permeable barrier comprises interendothelial tight junctions located at the capillaries and postcapillary venules. Cells and structures in the local environment are required to maintain normal BBB function. When inflammation is present, the BBB itself plays an integral role in the inflammatory response by either producing or expressing a variety of cytokines, adhesion molecules, metalloproteinases, serine proteases, products of arachidonic acid metabolism, and nitric oxide. Understanding the role of the BBB during inflammation is essential when creating and employing a therapeutic regime for animals with CNS disease. This review focusses on recent discoveries about the BBB and its role in inflammation, and applies this knowledge to our current understanding of inflammatory CNS disease in dogs and cats.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.289
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations85
Published2000
Admission routes1
Has abstractyes

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