Contribution of sarcoplasmic reticulum calcium pumping to resting mouse muscle metabolism
Bibliographic record
Abstract
Few studies have quantified resting mouse muscle metabolism and even fewer studies have separated the contribution of sarcoplasmic reticulum (SR) Ca2+ pumping to resting metabolic rate. Furthermore, the studies that have attempted to quantify the contribution of Ca2+ pumping have used indirect methods to inhibit SR Ca2+ ATPase activity. The purpose of this study is to directly quantify resting muscle oxygen consumption and the contribution of SR Ca2+ pumping to resting oxygen consumption in mouse hindlimb muscles by using CPA to specifically inhibit Ca2+ pump activity in intact muscles at rest. The TIOX system was used to measure resting muscle VO2 of extensor digitorum longus (EDL) and soleus (SOL) muscles at 30oC and 20oC. C57BL mice aged 8-12 weeks were used with an average whole body mass of 23.8 g and EDL and SOL dry weights averaging 1.88 mg and 1.8 mg, respectively. All muscle VO2 measurements are expressed per gram dry weight. There were no differences (P>0.1) in resting muscle VO2 between EDL and SOL muscles at either 30oC (EDL, 2.05 µL/g/s; SOL, 2.27 µL/g/s) or 20oC (EDL, 0.62 µL/g/s; SOL, 0.71 µL/g/s). The average Q10 (3.1) was determined from EDL and SOL VO2 measures at 20oC and 30oC. The contribution of Ca2+ pumping by the sarco(endo)plasmic reticulum Ca2+ ATPase (SERCA) was measured at 30oC using a range of CPA concentrations (1-15 µM) . There was a concentration-dependent effect of CPA on oxygen consumption with increasing CPA concentrations up to 10 µM resulting in progressively greater reductions in muscle oxygen consumption. Specifically, 1, 5, 10, and 15 µM CPA caused an 11, 35.4, 49.5, and 50.3% reduction in VO2. There were no differences (P>0.1) between 10 and 15 µM CPA indicating that 10 µM CPA induces maximal inhibition of SERCA in isolated muscle preparations. The results indicate that the Ca2+ pumping by SERCA is responsible for ~50% of oxygen consumption in resting mouse EDL and SOL muscle. This is the first study to use a direct inhibitor of SERCA to quantify the contribution of Ca2+ cycling to resting oxygen consumption and therefore is a more accurate reflection of the actual contribution of SERCA to resting muscle oxygen consumption compared to previous findings. These results suggest that SERCA energy consumption accounts for a large portion of resting muscle metabolism and may represent a potential therapeutic target for metabolic alterations to oppose obesity.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".