Reductions in RIP140 are not required for exercise- and AICAR-mediated increases in skeletal muscle mitochondrial content
Bibliographic record
Abstract
Receptor interacting protein 1 (RIP140) has recently been demonstrated to be a key player in the regulation of skeletal muscle mitochondrial content. We have shown that β-guanadinopropionic acid (β-GPA) feeding reduces RIP140 protein content and mRNA levels concomitant with increases in mitochondrial content (Williams DB, Sutherland LN, Bomhof MR, Basaraba SA, Thrush AB, Dyck DJ, Field CJ, Wright DC. Am J Physiol Endocrinol Metab 296: E1400-E1408, 2009). Since β-GPA feeding reduces high-energy phosphate levels and activates AMPK, alterations reminiscent of exercise, we hypothesized that exercise training would reduce RIP140 protein content. We further postulated that an acute bout of exercise, or interventions known to induce the expression of mitochondrial enzymes or genes involved in mitochondrial biogenesis, would result in decreases in nuclear RIP140 content. Two weeks of daily swim training increased markers of mitochondrial content in rat skeletal muscle independent of reductions in RIP140 protein. Similarly, high-intensity exercise training in humans failed to reduce RIP140 content despite increasing skeletal muscle mitochondrial enzymes. We found that 6 wk of daily 5-aminoimidazole-4-carboxamide-1-β-D-ribofuranoside (AICAR) injections had no effect on RIP140 protein content in rat skeletal muscle while RIP140 content from LKB1 knockout mice was unaltered despite reductions in mitochondria. An acute bout of exercise, AICAR treatment, and epinephrine injections increased the mRNA levels of PGC-1α, COXIV, and lipin1 independent of decreases in nuclear RIP140 protein. Surprisingly these interventions increased RIP140 mRNA expression. In conclusion our results demonstrate that decreases in RIP140 protein content are not required for exercise and AMPK-dependent increases in skeletal muscle mitochondrial content, nor do acute perturbations alter the cellular localization of RIP140 in parallel with the induction of genes involved in mitochondrial biogenesis.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".