MétaCan
Menu
Back to cohort
Record W2081478178 · doi:10.1002/mus.20947

Increased PFK activity and GLUT4 protein content in McArdle's disease

2007· article· en· W2081478178 on OpenAlexaff
Holly A. Robertshaw, Sandeep Raha, Jan Jacek Kaczor, Mark A. Tarnopolsky

Bibliographic record

VenueMuscle & Nerve · 2007
Typearticle
Languageen
FieldMedicine
TopicGlycogen Storage Diseases and Myoclonus
Canadian institutionsMcMaster University Medical Centre
Fundersnot available
KeywordsGLUT4GlycolysisSkeletal muscleGlucose transporterInternal medicineEndocrinologyPhosphofructokinasePhosphofructokinase 1BiologyGlycogenMetabolismCarbohydrate metabolismGlycogen phosphorylaseFlux (metallurgy)BiochemistryChemistryMedicineInsulin

Abstract

fetched live from OpenAlex

Inborn errors of metabolism represent an opportunity to conduct studies in order to understand compensatory adaptations to a defective metabolic pathway. We evaluated the molecular and biochemical adaptations in substrate metabolism (glycolysis, electron transport chain, tricarboxylic acid cycle, beta-oxidation) in response to myophosphorylase deficiency in skeletal muscle from 13 patients with McArdle's disease (MD) and 13 age-matched controls. MD muscle had higher phosphofructokinase protein content and activity as well as glucose transporter 4 (GLUT4) protein content and lower GLUT4 mRNA content than controls. At the protein level, skeletal muscle adaptations suggest an augmented glucose transport and glycolytic flux as a compensatory metabolic strategy to a chronic absence of muscle glycogen phosphorylase. These results support previous findings of increased glucose uptake during exercise and alleviation of symptoms with oral sucrose in patients with MD.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.264
Teacher spread0.236 · 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 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

Citations18
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueMuscle & NerveSame topicGlycogen Storage Diseases and MyoclonusFrench-language works237,207