The absence of UCP3 leads to tighter coupling of oxidative phosphorylation in skeletal muscle at rest
Bibliographic record
Abstract
The role of uncoupling protein 3 (UCP3) in mitochondrial function in skeletal muscle remains controversial. To gain insight into the role of this mitochondrial protein, we sought to determine whether UCP3 uncouples oxidative phosphorylation in vivo , as suggested by the putative function of the homologue, UCP1. We hypothesized that, under resting conditions, the presence of UCP3 would correspond with a reduction in coupling. To test this we compared wild type mice with UCP3 knockout mice using non‐invasive methods for assessing in vivo resting metabolism, 31 P nuclear magnetic resonance spectroscopy and optical spectroscopy. During a bout of ischemia, the former provides a measure of the resting rate of ATP production while the latter provides a measure of the resting rate of oxygen consumption. Dividing the rate of ATP production by the rate of oxygen consumption provides a measure of coupling (P/O ratio). We found a significant increase in the P/O ratio in mice lacking UCP3 compared to wild type mice (2.81 +/‐ 0.34 for knockout and 2.00 +/‐ 0.18 for wild type). This difference appears to be due to an increase in resting mitochondrial ATP production in the absence of UCP3. Our results indicate that UCP3 plays a role in regulating coupling of oxidative phosphorylation in skeletal muscle under resting conditions. This work was supported by NIH grants AG022385 and AG028455 and the Ellison Medical Foundation. Sample Data
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".