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Record W2395217429 · doi:10.1038/cddis.2015.293

Heart disease: recruitment of MEF2 activity by β−blockers wards off cardiomyocyte death

2015· article· en· W2395217429 on OpenAlexaff
Seyedeh‐Sara Hashemi, Stephanie Wales, Taichiro Miyake, John C. McDermott

Bibliographic record

VenueCell Death and Disease · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiac Fibrosis and Remodeling
Canadian institutionsIONICS Mass Spectrometry (Canada)York University
Fundersnot available
KeywordsMef2Heart failureProgrammed cell deathMyocyteMyocardial infarctionApoptosisMedicineDiseaseVentricular remodelingInternal medicineHeart diseaseCardiac function curveRegeneration (biology)BiologyCardiologyCell biologyTranscription factorGeneEnhancer

Abstract

fetched live from OpenAlex

Morbidity and mortality associated with cardiovascular disease is a predominant global health problem. Death of cardiac muscle cells (cardiomyocytes) through programmed cell death (apoptosis) is one hallmark of the progression to heart failure. 1 Moreover, loss of cardiomyocytes due to myocardial infarction (MI) in patients who survive the initial insult is a major determinant of residual heart function and ultimately their longer term prognosis. The extent of cardiomyocyte death is thus a primary determinant of subsequent left ventricular remodeling and progress to heart failure. 2 Given that the human heart has virtually no innate capacity for regeneration, the mechanisms of cardiomyocyte cell death, and arguably more importantly, the survival of these cells and ultimately the salvage of the myocardium, is of profound clinical importance. An emergent concept in the report by Hashemi et al. 3 is that a protein complex named MEF2, commonly known for its role in the development of the cardiovascular system, is linked to cardiomyocyte survival. In addition, the β adrenergic signaling pathway that fulfills an extensive role in the physiology and pathology of the adult heart is shown to intersect with MEF2’s pro-survival function in cardiomyocytes.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.697

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 head0.052
GPT teacher head0.299
Teacher spread0.247 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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