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Directed Vascular Expression of Human Cysteinyl Leukotriene 2 Receptor Modulates Endothelial Permeability and Systemic Blood Pressure

2004· article· en· W2161868397 on OpenAlexafffund
Yiqun Hui, Yan Cheng, Isabella Smalera, Wenying Jian, Lawrence Goldhahn, Garret A. FitzGerald, Colin Funk

Bibliographic record

VenueCirculation · 2004
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsQueen's University
FundersCanadian Institutes of Health ResearchNational Institutes of HealthNational Heart, Lung, and Blood InstituteUniversity of Pennsylvania
KeywordsMedicineBlood pressureVascular permeabilityReceptorImmunologyPharmacologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The proinflammatory and vascular actions of cysteinyl leukotrienes (CysLTs) are mediated by 2 receptors: cysteinyl leukotriene 1 receptor (CysLT1R) and cysteinyl leukotriene 2 receptor (CysLT2R). However, the distinct contribution of CysLT2R to the vascular actions of CysLTs has not been addressed. METHODS AND RESULTS: We generated an endothelial cell-specific human CysLT2R (EC-hCysLT2R) transgenic (TG) mouse model using the Tie2 promoter/enhancer. Strong expression of hCysLT2R in TG lung and endothelial cells, detected by real-time polymerase chain reaction, markedly enhanced CysLT-stimulated intracellular calcium mobilization compared with endogenous expression in cells from nontransgenic mice. The permeability response to exogenous LTC4 and to endogenous CysLTs evoked by passive cutaneous anaphylaxis was augmented in TG mice. The rapid, systemic pressor response to intravenous LTC4 was also diminished in TG mice coincidentally with augmented production of nitric oxide. CONCLUSIONS: The development of EC-hCysLT2R mice has permitted detection of distinct vascular effects of CysLTs, which can be mediated via the CysLT2R in vivo.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.238
Teacher spread0.228 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations99
Published2004
Admission routes2
Has abstractyes

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