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Record W2117588500 · doi:10.1139/h09-022

Mitochondrial DNA shifting in older adults following resistance exercise trainingThis paper article is one of a selection of papers published in this Special Issue, entitled 14th International Biochemistry of Exercise Conference – Muscles as Molecular and Metabolic Machines, and has undergone the Journal’s usual peer review process.

2009· review· en· W2117588500 on OpenAlexafffundvenue
Mark A. Tarnopolsky

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2009
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health ResearchBaoji University of Arts And Sciences
KeywordsMitochondrial DNASkeletal muscleResistance trainingOxidative stressSarcopeniaBiologyMitochondrionGeneticsOxidative phosphorylationInternal medicineEndocrinologyMedicineBiochemistryGene

Abstract

fetched live from OpenAlex

Aging is associated with a reduction in muscle mass and strength, which compromises functional independence. Skeletal muscle also shows an increase in mitochondrial dysfunction and oxidative stress in older adults. Resistance-exercise training is an important countermeasure for aging-associated muscle weakness. It has been shown that resistance-exercise training increases muscle strength and function in older adults, in association with a reduction in markers of oxidative stress and an improvement in mitochondrial function. Patients with sporadic mitochondrial cytopathies show an accumulation of mitochondrial DNA mutations and deletions in mature muscle, but not in satellite cells. Such patients have shown an activation of the satellite cells following myotoxic trauma and resistance, likely due to a fusion of the relatively quiescent satellite cells with mature muscle, which dilutes the mutational burden, a process called mitochondrial DNA shifting. Preliminary data strongly suggest that mitochondrial DNA shifting occurs in skeletal muscle from older adults following resistance-exercise training.

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)0.000
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.813
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.013
GPT teacher head0.268
Teacher spread0.255 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations60
Published2009
Admission routes3
Has abstractyes

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