Increased mitochondrial proton leak in skeletal muscle mitochondria of UCP1-deficient mice
Bibliographic record
Abstract
Mice having targeted inactivation of uncoupling protein 1 (UCP1) are cold sensitive but not obese (Enerbäck S, Jacobsson A, Simpson EM, Guerra C, Yamashita H, Harper M-E, and Kozak LP. Nature 387: 90-94, 1997). Recently, we have shown that proton leak in brown adipose tissue (BAT) mitochondria from UCP1-deficient mice is insensitive to guanosine diphosphate (GDP), a well known inhibitor of UCP1 activity (Monemdjou S, Kozak LP, and Harper M-E. Am J Physiol Endocrinol Metab 276: E1073-E1082, 1999). Moreover, despite a fivefold increase of UCP2 mRNA in BAT of UCP1-deficient mice, we found no differences in the overall kinetics of this GDP-insensitive proton leak between UCP1-deficient mice and controls. Based on these findings, which show no adaptive increase in UCP1-independent leak in BAT, we hypothesized that adaptive thermogenesis may be occurring in other tissues of the UCP1-deficient mouse (e.g., skeletal muscle), thus allowing them to maintain their normal resting metabolic rate, feed efficiency, and adiposity. Here, we report on the overall kinetics of the mitochondrial proton leak, respiratory chain, and ATP turnover in skeletal muscle mitochondria from UCP1-deficient and heterozygous control mice. Over a range of mitochondrial protonmotive force (Deltap) values, leak-dependent oxygen consumption is higher in UCP1-deficient mice compared with controls. State 4 (maximal leak-dependent) respiration rates are also significantly higher in the mitochondria of mice deficient in UCP1, whereas state 4 Deltap is significantly lower. No significant differences in state 3 respiration rates or Deltap values were detected between the two groups. Thus the altered kinetics of the mitochondrial proton leak in skeletal muscle of UCP1-deficient mice indicate a thermogenic mechanism favoring the lean phenotype of the UCP1-deficient mouse.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".