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Record W2126090323 · doi:10.1123/ijsnem.11.s1.s92

Skeletal Muscle Fatty Acid Transport and Transporters

2001· review· en· W2126090323 on OpenAlexaff
Joost J.F.P. Luiken, Danilo Mišković, Y. Arumugam, Jan F. C. Glatz, Arend Bonen

Bibliographic record

VenueInternational Journal of Sport Nutrition and Exercise Metabolism · 2001
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCD36Skeletal muscleTransporterIntracellularTransport proteinFatty acidOxidative phosphorylationChemistryVesicleBiochemistryBiologyCell biologyMembraneEndocrinologyGene

Abstract

fetched live from OpenAlex

While it has long been assumed that long chain fatty acids (LCFA) can freely diffuse across the plasma membrane, recent work has shown that LCFA uptake also involves a protein-mediated mechanism. Three putative LCFA transporters have been identified (FABPpm, FATP, and FAT/CD36), and all are expressed in rodent and human muscles. In a new model system (giant vesicles), we have demonstrated that (a) LCFA transport rates are scaled with the oxidative capacity of heart and muscle, (b) only FABPpm and FAT/CD36, but not FATP1, correlate with vesicular LCFA transport, and (c) LCFA transport can be increased by increasing (1) the FAT/CD36 protein of muscle (chronic adaptation) or (2) via the translocation of FAT/CD36 from an intracellular pool to the plasma membrane during muscle contraction (acute adaptation).

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.008

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 head0.015
GPT teacher head0.281
Teacher spread0.266 · 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

Citations18
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Sport Nutrition and Exercise MetabolismSame topicPeroxisome Proliferator-Activated ReceptorsFrench-language works237,207