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Record W2110473740 · doi:10.1016/j.febslet.2009.07.008

Differential effects of chronic, in vivo, PPAR's stimulation on the myocardial subcellular redistribution of FAT/CD36 and FABPpm

2009· article· en· W2110473740 on OpenAlexafffund
Agnieszka Kalinowska, J Górski, Ewa Harasim‐Symbor, Dorota Harasiuk, Arend Bonen, Adrian Chabowski

Bibliographic record

VenueFEBS Letters · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsUniversity of Guelph
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaHeart and Stroke Foundation of Canada
KeywordsCD36Peroxisome proliferator-activated receptorStimulationDownregulation and upregulationAMPKPeroxisomeFatty acidChemistryBeta oxidationInternal medicineEndocrinologySubcellular localizationIntracellularIn vivoPPAR agonistRosiglitazoneCell biologyReceptorBiologyBiochemistryMedicineProtein kinase AEnzymeCytoplasm

Abstract

fetched live from OpenAlex

This study reveals that the activation of either PPARalpha (WY 14643) or PPARbeta (GW0742) each induce the translocation of FAT/CD36 from an intracellular pool(s) to the plasma membrane, while PPARbeta also induces the subcellular redistribution of FABPpm(Got2) to the plasma membrane. In contrast, activation of PPARgamma failed to induce the subcellular redistribution of FAT/CD36 and FABPpm. These PPARalpha-, and PPARbeta-induced changes in the plasmalemmal content of these fatty acid transporters were associated with the concurrent upregulation of fatty acid triacylglycerol esterification (PPARbeta) and oxidation (PPARalpha and PPARbeta). Observed effects of chronic PPAR stimulation were not related to either AMPK or ERK1/2 activation.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.389

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 head0.004
GPT teacher head0.205
Teacher spread0.201 · 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 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

Citations21
Published2009
Admission routes2
Has abstractyes

Explore more

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