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AMPK Regulation of Glucose, Lipid and Protein Metabolism: Mechanisms and Nutritional Significance

2017· review· en· W2605957846 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Protein and Peptide Science · 2017
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAMPKLipid metabolismAMP-activated protein kinaseRegulatorCarbohydrate metabolismDiabetes mellitusGlucose uptakeUpstream and downstream (DNA)Glucose transporterGlucose homeostasisInflammationNutrient sensingSignal transductionChemistryCell biologyBiologyProtein kinase AEndocrinologyBiochemistryInternal medicineUpstream (networking)MedicineInsulinPhosphorylationInsulin resistanceGene

Abstract

fetched live from OpenAlex

AMP-activated protein kianse (AMPK) is a master sensor of cellular energy levels and a crucial regulator of nutrient metabolism such as the synthesis of fatty acids, glucose and protein as well as their oxidation to CO2 and water . Thus, AMPK signaling has important implications for fat deposition and glucose homeostasis in animals and humans. Much experimental and clinical evidence show that AMPK is a key therapeutic target for the prevention of diseases such as obesity, diabetes, cancer, inflammation and cardiac dysfunction. In this review we highlight recent advances on the upstream and downstream targets of AMPK, as well as the specific mechanisms whereby AMPK regulates digestive functions and chronic energy balance in animals and humans. Keywords: AMPK, glucose, lipid, protein, regulation.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.055
GPT teacher head0.337
Teacher spread0.282 · 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