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Record W4407847336 · doi:10.1139/apnm-2024-0458

Carnosine-enriched functional food enhances micro- and macrovascular endothelium-independent vasodilation in competitive athletes—a randomized study

2025· article· en· W4407847336 on OpenAlexvenueno aff
Leon Perić, Ines Drenjančević, Ivana Jukić, Alina Boris, Petar Šušnjara, Nikolina Kolobarić, Zrinka Mihaljević, Zlata Kralik, Gordana Kralik, Manuela Košević, Olivera Galović, Ana Stupin

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2025
Typearticle
Languageen
FieldMedicine
TopicBiochemical effects in animals
Canadian institutionsnot available
Fundersnot available
KeywordsCarnosineVasodilationEndotheliumMedicineBlood pressureInternal medicineMicrocirculationEndocrinologyBrachial arteryCardiology

Abstract

fetched live from OpenAlex

This randomized interventional study aimed to investigate the effect of carnosine-enriched chicken meat consumption on systemic endothelium-dependent and -independent micro- and macrovascular reactivity in thirty-five healthy competitive male athletes. Both forearm skin micro- and macrovascular endothelium-independent vasodilation were increased, and diastolic and mean arterial blood pressure (BP) were decreased in Carnosine group ( n = 19) following the 3-week dietary protocol. Microvascular endothelium-dependent response (post-occlusion reactive hyperemia) was increased in the Carnosine group and significantly associated with decreased mean arterial BP level. Following dietary protocol, Controls ( n = 16) had substantially higher urate (but still normal) levels than the Carnosine group. Carnosine supplementation in the form of functional food enhances endothelium-dependent and vascular smooth muscle-dependent vasodilation in peripheral micro- and microcirculation. Carnosine's effect on vascular endothelium could be attributed to its BP-lowering effect. Results suggest that carnosine has the potential to resist hyperuricemia in healthy individuals. ClinicalTrials.gov (NCT05723939)

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.248
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

Citations1
Published2025
Admission routes1
Has abstractyes

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