Regulation of Tfam expression at the onset of muscle disuse
Bibliographic record
Abstract
Chronic muscle disuse, such as that produced by long‐term denervation, results in a loss of muscle mass in addition to reductions in mitochondrial content and function. However, acute alterations in the expression of factors regulating mitochondrial content, namely mitochondrial transcription factor A (Tfam), have yet to be elucidated following denervation. Thus, to investigate changes in Tfam expression, we employed the in vivo transfection of a Tfam promoter‐luciferase reporter construct into rat tibialis anterior muscle denervated for 0, 8, 16, 24, 72 or 120 hours. Tfam transcription was reduced by 40–70% between 8 and 24 hours of denervation. This was reflected in a 30% reduction in Tfam mRNA content by 24 hours of denervation, which occurred without any notable changes in Tfam mRNA stability. These changes in Tfam transcription and mRNA preceded alterations in mitochondrial content and muscle mass, first noted by 72 and 120 hours, respectively. Our data suggest that denervation results in early changes in gene expression regulating mitochondrial content, which precede subsequent decrements in muscle mass during disuse conditions. Further investigation of the upstream signals governing Tfam expression in muscle is warranted. Supported by NSERC.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".