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Record W1512819323 · doi:10.1002/mus.23838

Expression of mitochondrial fission and fusion regulatory proteins in skeletal muscle during chronic use and disuse

2013· article· en· W1512819323 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

VenueMuscle & Nerve · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsYork University
Fundersnot available
KeywordsMFN2Mitochondrial fissionmitochondrial fusionMitochondrionSkeletal muscleMFN1DenervationInternal medicineCell biologyBiologyEndocrinologyMedicineBiochemistryMitochondrial DNA

Abstract

fetched live from OpenAlex

INTRODUCTION: The mitochondrial network within cells is mediated by fission and fusion processes. METHODS: We investigated the expression of the proteins responsible for these events during conditions of altered oxidative capacity. RESULTS: With chronic contractile activity, the mitochondrial reticulum increased in size, along with concomitant increases in the fusion proteins Opa1 and Mfn2 (by 36% and 53%; P < 0.05). When we induced muscle disuse through denervation for 7 days, fragmented mitochondria were observed, along with significant decreases in the expression of Mfn2 and Opa1 (by 84% and 70%). To assess the effects of aging on mitochondrial morphology, young (5 month) and aged (35 month) Fisher 344 Brown Norway rats were used. Aged animals also possessed smaller mitochondria and displayed increased levels of fission proteins. CONCLUSIONS: Chronic muscle use increases the ratio of fusion:fission proteins, leading to reticular mitochondria, whereas muscle disuse and aging result in a decrease in this ratio, culminating in fragmented organelles.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.009
GPT teacher head0.216
Teacher spread0.206 · 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