Effect of denervation on the regulation of mitochondrial transcription factor A expression in skeletal muscle
Bibliographic record
Abstract
The purpose of this study was to determine how the expression of mitochondrial transcription factor A (Tfam), a protein that governs mitochondrial DNA (mtDNA) transcription and replication, is regulated during a state of reduced organelle content imposed by muscle disuse. We measured Tfam expression at 8 h, 16 h, 24 h, 3 days, or 7 days following denervation and hypothesized that decreases in Tfam expression would precede mitochondrial loss. Muscle mass was lowered by 13% and 38% at 3 and 7 days postdenervation, while cytochrome c oxidase activity fell by 33% and 39% at the same time points. Tfam promoter activation in vivo was reduced by 30-65% between 8 h and 3 days of denervation, while Tfam transcript half-life was increased following 8-24 h of denervation. Protein expression of RNA-binding proteins that promote mRNA degradation (CUG repeat-binding protein and K homology splicing regulator protein) was elevated at 3 and 7 days of denervation. Tfam localization within subsarcolemmal mitochondria was reduced after 3 and 7 days of denervation and was associated with suppression of the cytochrome c oxidase type I transcript at 3 days, indicating that denervation impairs both mitochondrial Tfam import and mtDNA transcription during an early period following denervation. These data suggest that putative signals downregulate Tfam transcription during the earliest stages following denervation but are counteracted by increases in Tfam mRNA stability. Import of Tfam into the mitochondrion seems to be the most critical point of regulation of this protein during the early onset of denervation, an impairment of which is coincident with the loss of mitochondria during muscle disuse.
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 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".