HORMONE SENSITIVE LIPASE ACTIVITY AND FATTY ACYL-COA CONTENT IN HUMAN SKELETAL MUSCLE DURING PROLONGED EXERCISE
Bibliographic record
Abstract
Hormone sensitive lipase (HSL) catalyzes the hydrolysis of intramuscular triacylglycerol (IMTG) but HSL regulation is poorly understood in skeletal muscle. PURPOSE To measure human skeletal muscle HSL activity and several putative regulators of HSL at rest and during prolonged moderate intensity exercise. METHODS Healthy male volunteers (n = 7; 21 ± years, 77 ± kg) cycled for 120 min at 60% peak pulmonary oxygen uptake. Muscle, venous blood and respiratory gas samples were obtained at rest and 10, 60 and 120 min of exercise. RESULTS HSL activity increased from resting levels by 10 min of exercise (2.09 ± 0.19 to 2.56 ± 0.22 mmol/min/kg dm, P < 0.05), increased further by 60 min (3.1227 ± 0. mmol/min/kg dm, P < 0.05) and decreased to near-resting rates after 120 min of cycling. Skeletal muscle LCFA CoA increased (P < 0.05) above rest by 60 min (15.9 ± 3.0 to 50.4 ± 7.9 mmol/kg dm) and increased further by 120 min. Estimated free AMP increased (P < 0.05) from rest to 60 min, and was ∼20-fold greater than rest by 120 min. Epinephrine was increased above rest (P < 0.05) at 60 (1.47 ± 0.15 nM) and 120 min (4.87 ± 0.76 nM) of exercise. Insulin concentrations decreased rapidly and were lower than rest by 10 min and continued to decrease throughout exercise. CONCLUSION HSL activity was increased above rest by 10 min, increased further by 60 min and decreased to near-resting values by 120 min. The increased HSL activity from 10–60 min was associated with the stimulating effect of increased epinephrine and decreased insulin levels. After 120 min, the decreased HSL activity was associated with the proposed inhibitory effects of increased free AMP. The LCFA CoA accumulation in the second hour of exercise may have reduced flux through HSL and accounted for the reduction in IMTG utilization previously observed late in prolonged exercise. Supported by NSERC and CIHR, Canada.
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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 | 0.000 | 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) | 0.001 | 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".