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Record W914518128

Cardiac Mitochondrial Adaptations Induced by Elevated Lipid Exposure

2015· dissertation· en· W914518128 on OpenAlexfundno aff
C dos Santos Alves Rocha

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2015
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchConcordia University
KeywordsOxidative phosphorylationMitochondrionApolipoprotein EBioenergeticsLipid metabolismEndocrinologyInternal medicineRespirationCholesterolBiologyCell biologyBiochemistryMedicineAnatomyDisease
DOInot available

Abstract

fetched live from OpenAlex

Apolipoprotein E (ApoE) is necessary for normal lipid metabolism. A deficiency of this protein impedes plasma clearance of both triglycerides and cholesterol. These lipids are consequently broken down through alternate pathways, thus resulting in atypical cellular function. Cardiac mitochondria play a significant role in cellular respiration specifically, considering the extent of oxygen consumption that is required by the heart muscle. Their capacity to utilize oxygen and produce energy may be affected by the buildup of cholesterol and triglycerides, due to a deficiency in ApoE. This study will investigate the influence of ApoE deficiency on energy metabolism in young and older female mice. Whether or not any of these effects are exacerbated by further supplementation of lipids through diet will also be evaluated in male mice. Cardiac mitochondrial oxygen consumption, mitochondrial oxidative phosphorylation (OXPHOS) capacity and protein expression in cardiomyocytes will help in examining these influences. Our findings have the potential to provide important information regarding lipid shunting into non-oxidative pathways, which can ultimately disrupt normal cellular function leading to damaging effects of the heart.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.027
GPT teacher head0.281
Teacher spread0.254 · 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 designBench or experimental
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

Citations0
Published2015
Admission routes1
Has abstractyes

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