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Record W2927799170

Irisine, adipokines et résistance à l'insuline

2015· article· fr· W2927799170 on OpenAlexfundno aff
Claire Huth

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldMedicine
TopicNatural Products and Biological Research
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsAdipokineMedicineInsulin resistanceDiabetes mellitusEndocrinology
DOInot available

Abstract

fetched live from OpenAlex

La résistance à l’insuline et l’obésité sont des sujets d’intérêt majeur de la recherche. Le muscle squelettique, étant le site principal de la captation insulinodépendante du glucose, est une cible d’intervention privilégiée dans la lutte contre cette dysfonction métabolique. L’interaction entre le tissu adipeux et le muscle squelettique, par le biais des myokines et des adipokines, joue un rôle dans cette captation insulinodépendante du glucose. Le sujet de ce mémoire porte sur l’étude de l’irisine et de deux adipokines, la leptine et l’adiponectine, et leur lien avec la résistance à l’insuline. Les travaux ont été réalisés chez des hommes non diabétiques. Les résultats ont montré que des niveaux circulants élevés d’irisine sont reliés à un profil métabolique détérioré et que la santé du tissu adipeux est un prédicteur de la sensibilité à l’insuline plus puissant que l’obésité abdominale.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.547
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.162
GPT teacher head0.426
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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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