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Role of Transient receptor potential vanilloid 4 in neutrophil activation and acute lung injury

2013· article· en· W3168607359 on OpenAlexafffundabout
Christine Tang, Jun Yin, Wolfgang M. Kuebler

Bibliographic record

VenueThe FASEB Journal · 2013
Typearticle
Languageen
FieldNeuroscience
TopicIon Channels and Receptors
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
FundersUniversity of TorontoNational Natural Science Foundation of China
KeywordsTRPV4Transient receptor potential channelExtravasationPharmacologyEvans BlueEx vivoMedicineIn vivoPathogenesisInflammationLungImmunologyChemistryReceptorInternal medicineIn vitroBiologyBiochemistry

Abstract

fetched live from OpenAlex

Introduction Transient receptor potential vanilloid 4 (TRPV4) is a cation channel expressed in lung parenchyma and inflammatory cells. TRP channels have been implicated in the activation of inflammatory cells and the pathogenesis of acute lung injury (ALI), thus we hypothesized that TRPV4 deficiency or inhibition may attenuate inflammatory responses and ALI. Method To test this, in vivo and ex vivo studies were performed using TRPV4 −/− mice. Results Genetic deficiency or pharmacologic inhibition of TRPV4 attenuated the functional, histological and inflammatory hallmarks of ALI following intratracheal instillation of hydrochloric acid or lipopolysaccharide (LPS). TRPV4 −/− compared to TRPV4 +/+ mice had an increased survival rate following i.p. LPS. Perfused lung studies showed decreased lung weight increase in TRPV4 −/− mice in response to platelet activating factor (PAF). Transfusion of TRPV4 +/+ vs. TRPV4 −/− blood into perfused lungs led to greater Evans blue extravasation following PAF administration. Neutrophils from TRPV4 −/− mice had attenuated increases in intracellular calcium and reactive oxygen species and showed reduced endothelial transmigration in response to PAF. Conclusion Our findings identify a role for TRPV4 in neutrophil activation, and suggest TRPV4 as a promising pharmacological target for the prevention and potentially treatment of ALI. Supported by CREMS, University of Toronto and NSFC # 81000028

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.004
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.226
Teacher spread0.217 · 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 teacher head, 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

Citations1
Published2013
Admission routes3
Has abstractyes

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