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Folic Acid Does Not Limit Endothelial Dysfunction Induced by Ischemia and Reperfusion

2005· article· en· W2034243206 on OpenAlexaff
Saverio Dragoni, Tommaso Gori, Giuseppe Di Stolfo, Silvia Sicuro, Sandro Forconi, John D. Parker

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2005
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsUniversity of TorontoMount Sinai HospitalUniversity Health Network
Fundersnot available
KeywordsNitric oxideBrachial arteryIschemiaMedicineEndothelial dysfunctionPlaceboReperfusion injuryEndotheliumInternal medicineHomocysteineEndocrinologyAnesthesiaPharmacologyBlood pressurePathology

Abstract

fetched live from OpenAlex

Nitric oxide synthase (NOS) uncoupling is a condition of increased production of superoxide anion associated with a decreased production of nitric oxide (NO) by this enzyme. Folic acid can prevent and/or reverse NOS uncoupling in the setting of diabetes, smoking, hypercholesterolemia, and nitrate tolerance. Whereas animal studies showed a protective effect of folic acid in ischemia and reperfusion (IR) injury, no study tested whether folic acid administration limits IR-induced endothelial dysfunction in humans. In a double-blind, parallel study, 20 healthy young male volunteers were randomized to receive folic acid, 10 mg/d for 7 days, or matching placebo. At the end of the treatment period, endothelium-dependent, flow-mediated dilation (FMD) of the radial artery was measured before and after IR injury (15 minutes of ischemia at the level of the brachial artery followed by 15 minutes of reperfusion). There was no difference at baseline between groups in any variable. In the placebo group, IR significantly blunted FMD (before IR, 6.7+/-1.0%; after IR, 1.5+/-1.3%, P<0.01). A similar effect was observed in the folic acid group (before IR, 6.3+/-1.1%; after IR, 2.1+/-1.0%, P=ns compared with placebo). As opposed to animal studies, high-dose folic acid does not protect the vascular endothelium from IR injury in humans.

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 score0.187
Threshold uncertainty score0.611

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 head0.009
GPT teacher head0.252
Teacher spread0.243 · 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

Citations17
Published2005
Admission routes1
Has abstractyes

Explore more

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