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Record W1970143948 · doi:10.1517/14728222.12.3.327

Therapeutic targets in hypertension: is there a place for antagonists of the most potent vasoconstrictors?

2008· review· en· W1970143948 on OpenAlexaff
Fernanda RC Giachini, Gláucia E. Callera, Fernando S. Carneiro, Rita C. Tostes, R. Clinton Webb

Bibliographic record

VenueExpert Opinion on Therapeutic Targets · 2008
Typereview
Languageen
FieldMedicine
TopicCardiovascular, Neuropeptides, and Oxidative Stress Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsUrotensin-IIEndothelin receptorPathogenesisPathophysiologyVasodilationReceptorMedicineInternal medicinePharmacologyEndothelin 1Endocrinology

Abstract

fetched live from OpenAlex

BACKGROUND: Endothelin-1 (ET-1) and urotensin II (U-II) are the most potent and unusually long-lasting constrictors of human vessels known to date. OBJECTIVE: In this review, we focus on the vascular effects of endothelin-1 (ET-1) and urotensin II (U-II) and their role in the pathophysiology of hypertension. RESULTS AND CONCLUSION: Unlike ET-1, which uniformly constricts most blood vessels, the vasoactive effects of U-II depend both on the species, vascular bed and vessel calibre. Both ET-1 and U-II have potent mitogenic, pro-inflammatory and pro-oxidative properties, which have been implicated in the pathogenesis of human cardiovascular and renal diseases. The availability of highly effective peptide and non-peptide antagonists both for ET-1 and U-II receptors has revealed a role for these potent vasoconstrictor peptides in human (patho)physiology.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.097
GPT teacher head0.370
Teacher spread0.272 · 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.

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

Citations19
Published2008
Admission routes1
Has abstractyes

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