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Quinapril treatment enhances vascular sensitivity to insulin

2001· article· en· W2322231279 on OpenAlexaff
Ross D. Feldman, Nancy D. Schmidt

Bibliographic record

VenueJournal of Hypertension · 2001
Typearticle
Languageen
FieldNursing
TopicSodium Intake and Health
Canadian institutionsWestern University
Fundersnot available
KeywordsQuinaprilMedicineInternal medicineInsulinEndocrinologyACE inhibitorInsulin resistancePhenylephrineVasodilationVascular smooth muscleAngiotensin-converting enzymeBlood pressure

Abstract

fetched live from OpenAlex

OBJECTIVE: Insulin-mediated vasodilation has been shown to be impaired with hypertension and aggravated by dietary sodium restriction. Whether vascular insulin resistance in this setting could be improved by antihypertensive therapy was unknown. Therefore, we determined the effect of therapy with an angiotensin-converting enzyme inhibitor, on vascular sensitivity to insulin in hypertensive subjects fed a sodium-restricted diet. DESIGN AND METHODS: The effects of 3 months of therapy with quinapril on vascular sensitivity to insulin was assessed in 11 hypertensive subjects using a randomized, placebo-controlled, double-blind design. Vascular sensitivity to insulin was assessed by determination of the insulin ED50 from dorsal hand vein linear variable differential transformer in phenylephrine-preconstricted vessels. Subjects were maintained on a 75 mmol/day sodium diet for 3 days prior to each study. RESULTS: Quinapril therapy significantly improved vascular sensitivity to insulin, as assessed by a decrease in the ED50 for insulin (ED50 insulin: placebo = 501 +/- 189 [muU/ min; quinapril = 276 +/- 100 muU/min P < 0.05). Isoproterenol-mediated relaxation was also enhanced by quinapril treatment (maximal isoproterenol-mediated relaxation: Placebo = 92 +/- 15% of baseline distension; Quinapril = 151 +/- 31% P < 0.05). CONCLUSIONS: The current study suggests the hypothesis that the ACE-inhibitor quinapril has beneficial effects on vascular function in general, and on insulin-mediated vascular responses, in particular.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score0.378

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 head0.049
GPT teacher head0.294
Teacher spread0.245 · 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

Citations18
Published2001
Admission routes1
Has abstractyes

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