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Use of A-192621 and IRL-2500 to Unmask the Mesenteric and Renal Vasodilator Role of Endothelin ETB Receptors

2002· article· en· W2068520478 on OpenAlexaff
Susan W.S. Leung, Su Lin Lim, Catherine C.Y. Pang, Ricky Y.K. Man

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2002
Typearticle
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVasoconstrictionVasodilationInternal medicineEndocrinologyEndothelin receptorAntagonistPhosphoramidonReceptorMedicineAgonistChemistry

Abstract

fetched live from OpenAlex

Endothelin-1 (ET-1) is known to cause a transient (<1 min) depressor followed by a sustained (>1 h) pressor response. The former through the activation of ET(B) receptors, and the latter through the activation of ET(A) and ET(B) receptors. This study examines if ET(B) receptors mediate sustained mesenteric and renal dilation in anesthetized rats. Intravenous bolus ET-1 (0.8, 1.4, and 2 nmol/kg) and IRL-1620 (ET(B) agonist, 2, 5, and 10 nmol/kg) caused transient decrease followed by sustained increases in mean arterial pressure (MAP) that were accompanied by increases in total peripheral resistance (TPR), reductions in cardiac output (CO), and mesenteric and renal vasoconstriction. Pretreatment with FR-139317 (ET(A) antagonist, 1 mg/kg) attenuated the pressor and constrictor effects of ET-1 but did not alter responses to IRL-1620. IRL-2500 (ET(B) antagonist, 5 mg/kg) slightly inhibited the renal constrictor effect of IRL-1620, whereas A-192621 (ET(B) antagonist, 5 mg/kg) abolished all hemodynamic responses to IRL-1620. Both IRL-2500 and A-192621 markedly enhanced MAP, TPR, and mesenteric, and the renal constrictor effects of ET-1. Therefore, A-192621 was more effective than IRL-2500 in blocking IRL-1620-induced vasoconstriction, but both augmented constrictor responses to ET-1. The potentiation of ET-1-induced vasoconstriction by ET(B) receptor antagonists revealed a sustained vasodilator role of ET(B) receptors.

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)0.001
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 score0.431
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.024
GPT teacher head0.256
Teacher spread0.232 · 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

Citations7
Published2002
Admission routes1
Has abstractyes

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