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Record W2588192494 · doi:10.1189/jlb.3ru0816-352rr

Endothelial cell activation in central nervous system inflammation

2017· review· en· W2588192494 on OpenAlexaff
Fengjiao Wu, Lixin Liu, Hong Zhou

Bibliographic record

VenueJournal of Leukocyte Biology · 2017
Typereview
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsUniversity of Saskatchewan
FundersNational Natural Science Foundation of China
KeywordsCrosstalkBiologyInflammationEndothelial stem cellCentral nervous systemCell biologyBlood–brain barrierEndotheliumImmunologyCell adhesion moleculeNeuroscienceIn vitroGenetics

Abstract

fetched live from OpenAlex

Leukocyte migration across the endothelial barrier plays an essential role in CNS inflammation. The migration process requires complex endothelial adhesion molecules concentrated at the junctions of endothelial cells. Recent findings suggest that cerebral endothelial cells play an active role in the pathogenesis of CNS inflammatory diseases. This review describes our current understanding of the effects of various inflammatory mediators of leukocyte migration on cerebral endothelial cells, the mechanisms underlying the leukocyte-endothelial cell interactions, and the crosstalk between endothelial cells and glial cells or platelets. These emerging mechanisms may provide new therapeutic strategies for a variety of CNS inflammatory diseases.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.133
GPT teacher head0.356
Teacher spread0.223 · 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

Citations75
Published2017
Admission routes1
Has abstractyes

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