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Record W2035445759 · doi:10.1007/s10863-009-9211-0

Mitochondria in the human heart

2009· review· en· W2035445759 on OpenAlexfundno aff
Hélène Lemieux, Charles L. Hoppel

Bibliographic record

VenueJournal of Bioenergetics and Biomembranes · 2009
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteNatural Sciences and Engineering Research Council of CanadaNational Institute on AgingNational Institutes of Health
KeywordsMitochondrionHeart diseaseDiseaseHuman heartFunction (biology)Human diseaseMitochondrial diseaseCardiac function curveEnergy metabolismBioinformaticsBiologyMedicineNeuroscienceInternal medicineCell biologyMitochondrial DNAHeart failureBiochemistry

Abstract

fetched live from OpenAlex

The heart relies mainly on mitochondrial metabolism to provide the energy needed for pumping blood to oxygenate the organs of the body. The study of mitochondrial function in the human heart faces many obstacles and elucidation of the role of mitochondria in cardiac diseases has relied mainly on studies with animal models. Cardiac diseases are the leading cause of mortality worldwide. With the emergence of new therapies to treat and prevent heart disease, some aiming at metabolic modulation, a need for acquiring a better understanding of mitochondrial function in the human heart becomes apparent. Our review is aimed at specific evaluation of the human heart in terms of (1) methods to understand mitochondrial function, with particular emphasis on integrated function, (2) data on the role of mitochondrial dysfunction in cardiovascular disease, and (3) possible applications of this knowledge in the treatment of patients with cardiac disease.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.004

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 head0.033
GPT teacher head0.327
Teacher spread0.294 · 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 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

Citations93
Published2009
Admission routes1
Has abstractyes

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