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Record W2313041718 · doi:10.1139/cjpp-2014-0257

Smoothelin-B is not a target of matrix metalloproteinase (MMP)-2 in the vasculature of endotoxemic rats

2014· article· en· W2313041718 on OpenAlexafffundvenue
Priscila de Souza, Michele M. Castro, G.C. Goobie, José Eduardo da Silva‐Santos, Richard Schulz

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtease and Inhibitor Mechanisms
Canadian institutionsUniversity of Alberta
FundersNational Institutes of HealthCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorDalhousie UniversityNational Science Council
KeywordsCalponinChemistryLipopolysaccharideMatrix metalloproteinaseAortaPhenylephrineContraction (grammar)Internal medicineEndocrinologyPharmacologyBiochemistryMedicineActin

Abstract

fetched live from OpenAlex

Smoothelin-B (SMTL-B) and calponin-1 are important regulators of vascular contraction. SMTL-B contains a calponin-homology domain and is structurally similar to cardiac troponin T. As calponin-1 and troponin T are proteolyzed by intracellular matrix metalloproteinase (MMP)-2 in oxidative stress injury, we hypothesized that SMTL-B is also cleaved by MMP-2 and contributes to lipopolysaccharide (LPS)-induced vascular hypocontractility. Rats received ONO-4817 (an MMP inhibitor) or its vehicle, 2 h prior to being administered lipopolysaccharide (LPS). LPS-induced aorta hypocontractility to potassium chloride or phenylephrine, and reduction of calponin-1 levels, were abolished by ONO-4817 at 6 but not 3 h after LPS. However, the level of SMTL-B was unaltered in LPS aortas and further unaffected by ONO-4817. Despite the importance of SMTL-B in vascular tone, it is not a target of MMP-2 in LPS-induced hypocontractility.

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 score0.003
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
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.246
Teacher spread0.239 · 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

Citations1
Published2014
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Physiology and PharmacologySame topicProtease and Inhibitor MechanismsFrench-language works237,207