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Modulation of insulin action by dietary proteins and amino acids: role of the mammalian target of rapamycin nutrient sensing pathway

2005· review· en· W1964282874 on OpenAlexaff
Frédéric Tremblay, Hélène Jacques, André Marette

Bibliographic record

VenueCurrent Opinion in Clinical Nutrition & Metabolic Care · 2005
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsUniversité LavalWilfrid Laurier UniversityMcGill University
Fundersnot available
KeywordsInsulinAmino acidMetabolismNutrient sensingProtein biosynthesisBiochemistryCarbohydrate metabolismBiologyLeucineGlucose uptakeSignal transductionMetabolic pathwayInsulin receptorEndocrinologyChemistryInsulin resistance

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: An increasing number of studies point towards an important role of dietary proteins and amino acids in the modulation of insulin action in peripheral tissues. The purpose of this review is to discuss how these nutrients affect insulin sensitivity and the potential mechanism by which they exert their action. RECENT FINDINGS: Increased plasma amino acid availability in both animals and humans has been shown to cause enhanced translation initiation and protein synthesis and the inhibition of insulin-stimulated glucose transport in skeletal muscle. Moreover, dietary interventions in animals fed proteins from various sources resulted in drastically different outcomes in terms of glucose metabolism and insulin signaling in skeletal muscles. Finally, amino acids, particularly leucine, were shown to modulate insulin action by specifically activating the mammalian target of rapamycin nutrient sensing pathway. SUMMARY: Dietary proteins and amino acids are important modulators of glucose metabolism and insulin signaling via their ability, at least partly, to modulate the mammalian target of rapamycin pathway.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.075
GPT teacher head0.386
Teacher spread0.311 · 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 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

Citations70
Published2005
Admission routes1
Has abstractyes

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