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Record W2031869753 · doi:10.1097/fjc.0b013e31824cc427

Autophagy in the Heart

2012· review· en· W2031869753 on OpenAlexafffund
Erika Y. Wang, Agnieszka Biala, Joseph W. Gordon, Lorrie A. Kirshenbaum

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2012
Typereview
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsSt. Boniface Hospital
FundersCanadian Institutes of Health Research
KeywordsAutophagyCell biologyProgrammed cell deathMitochondrionMitophagyBiologyOrganelleLysosomeCytosolCatabolismHomeostasisBiochemistryApoptosisMetabolism

Abstract

fetched live from OpenAlex

Autophagy constitutes a catabolic process involving lysosomal degradation of damaged and redundant cytosolic components into biomolecules, via an elaborate lysosomal pathway. Autophagy is a highly regulated and evolutionary conserved process crucial for normal tissue homeostasis and cell life. Certain members of the Bcl-2 gene family, including the BH3 only protein Bnip3 regulate autophagy during cardiac stress during ischemic or hypoxic injury as means of discarding damaged mitochondria and organelles to avert cell death. Defects in the regulation of autophagy have been associated with a number of human pathologies including cancer, neurodegenerative diseases, and heart failure. Here, we discuss the molecular regulation of autophagy in the heart and cellular demise from "too much a good thing."

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)0.003
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0000.000
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 head0.072
GPT teacher head0.397
Teacher spread0.324 · 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 designOther design
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

Citations29
Published2012
Admission routes2
Has abstractyes

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