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Record W2056384367 · doi:10.1089/rej.2011.1276

Cardioprotective Effect of a Biofermented Nutraceutical on Endothelial Function in Healthy Middle-Aged Subjects

2012· article· en· W2056384367 on OpenAlex
Francesco Marotta, Hariom Yadav, Archana Kumari, Roberto Catanzaro, Shalini Jain, Ascanio Polimeni, Vincenzo Soresi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRejuvenation Research · 2012
Typearticle
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsUniversité du QuébecInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsNutraceuticalMedicineTraditional medicinePharmacologyGerontologyInternal medicinePathology

Abstract

fetched live from OpenAlex

We tested a biofermented nutraceutical (FPP) that has been previously shown to positively modulate nitric oxide (NO). Forty-two healthy middle-aged subjects were given 3 grams of FPP three times a day for 6 weeks, and tests were repeated at 3 and 6 weeks; the control group was given a placebo. Flow-mediated dilation (FMD) was measured together with NO compounds (nitrogen oxides [NOx]: NO(2)(-)+NO(3)(-)) plasma levels and asymmetrical dimethylarginine (ADMA). In the interventional group, overall FMD significantly increased from 4.2% to 7.3% (p<0.05 vs. placebo). A significant increase in plasma NO and a decrease in ADMA were detected after consumption of FPP (p<0.01). Although larger studies are awaited, it appears that, at least in healthy individuals, such nutraceutical intervention by positively acting on significant cardiovascular parameters can be considered in the armamentarium of a proactive age-management strategy.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.104
GPT teacher head0.408
Teacher spread0.304 · 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