Sarcolipin ablation decreases whole body VO2 in young female nice
Bibliographic record
Abstract
The sarco(endo)plasmic reticulum calcium (Ca 2+ ) ATPase (SERCA) pump is a major regulator of cytosolic Ca 2+ in striated muscle. Sarcolipin (SLN) reduces SERCA-mediated Ca 2+ pumping efficiency and is a key regulator of muscle metabolism and contractile function. With SERCA activity comprising approximately 12% of whole-body metabolic rate, the inefficient SERCA Ca 2+ cycling promoted by SLN would be predicted to increase metabolic rate. Although SLN is involved in adaptive diet-induced thermogenesis and overexpression of SLN increases metabolic rate and protects against diet-induced obesity, we found previously that SLN ablation had no effect on whole body metabolic rate or body composition in male mice that were fed a standard chow diet. However, unpublished work from our lab indicates that SLN expression in mouse soleus is significantly higher in females compared with males. Therefore, the purpose of this study was to investigate the effects of SLN ablation on body composition and metabolic rate of female mice. Adult (4-6mo) female wild type (WT) and SLN knockout (KO) mice (n=4 per group) were used to collect anthropometric measures (adiposity and body weight) and were housed in a comprehensive lab animal monitoring system (CLAMS) over a 48-hour period to assess daily whole body VO2 and total cage activity. With SLN ablation, total whole body VO 2 (ml/kg/hr) was lower (p<0.05) in the KO females (3534 ± 95.1) compared to WT females (5080 ± 98.8), with no differences (p>0.05) found for total cage activity (counts) (WT, 14935.42 ± 1799.6 vs. KO, 11860.83 ± 679.48), body weight (grams) (WT, 20.97 ± 0.76 vs. KO, 22.18 ± 0.80), or adiposity (arbitrary units) (WT, 5.18 ± 1.71 vs. KO, 2.12 ± 0.36). These results showing that high levels of endogenous muscle SLN expression in female mice influence whole-body metabolism even under chow-fed conditions, demonstrate a potential important sex difference in whole body physiology and metabolism. Natural Sciences and Engineering Research Council of Canada (NSERC) [grant number 311922-05 (to A.R.T.)] This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".