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Record W2093703769 · doi:10.1515/cclm-2012-0553

Mechanisms of the beneficial effects of vitamin B6 and pyridoxal 5-phosphate on cardiac performance in ischemic heart disease

2013· review· en· W2093703769 on OpenAlexafffund
Naranjan S. Dhalla, Satoshi Takeda, Vijayan Elimban

Bibliographic record

VenueClinical Chemistry and Laboratory Medicine (CCLM) · 2013
Typereview
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
FundersCanadian Institutes of Health Research
KeywordsPyridoxal 5-PhosphatePyridoxineMedicinePyridoxal phosphateVitamin b6PyridoxalInternal medicineDiseaseCardiologyPhosphateVitaminChemistryBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Although vitamin B6 and its metabolite, pyridoxal 5'-phosphate (PLP), have been shown to exert beneficial effects in ischemic heart disease, the mechanisms of their action are not fully understood. Some studies have shown that ventricular arrhythmias and mortality upon the occlusion of coronary artery were attenuated by pretreatment of animals with PLP. Furthermore, ischemia-reperfusion-induced abnormalities in cardiac performance and defects in sarcoplasmic reticular Ca2+-transport activities were decreased by PLP. The increase in cardiac contractile activity of isolated heart by ATP was reduced by PLP, unlike propranolol, whereas that by isoproterenol was not depressed by PLP. ATP-induced increase in [Ca2+]i, unlike KCl-induced increase in [Ca2+]i in cardiomyocytes was depressed by PLP. Both high- and low-affinity sites for ATP binding in sarcolemmal membranes were also decreased by PLP. These observations support the view that PLP may produce cardioprotective effects in ischemic heart disease by attenuating the occurrence of intracellular Ca2+ overload due to the blockade of purinergic receptors.

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)0.002
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 score0.734
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.031
GPT teacher head0.358
Teacher spread0.327 · 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

Citations36
Published2013
Admission routes2
Has abstractyes

Explore more

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