Hormone-sensitive lipase-independent adipocyte lipolysis during β-adrenergic stimulation, fasting, and dietary fat loading
Bibliographic record
Abstract
In white adipose tissue, lipolysis can occur by hormone-sensitive lipase (HSL)-dependent or HSL-independent pathways. To study HSL-independent lipolysis, we placed HSL-deficient mice in conditions of increased fatty acid flux: beta-adrenergic stimulation, fasting, and dietary fat loading. Intraperitoneal administration of the beta(3)-adrenergic agonist CL-316243 caused a greater increase in nonesterified fatty acid level in controls (0.33 +/- 0.05 mmol/l) than in HSL(-/-) mice (0.12 +/- 0.01 mmol/l, P < 0.01). Similarly, in isolated adipocytes, lipolytic response to CL-316243 was greatly reduced in HSL(-/-) mice compared with controls. Fasting for <or=48 h produced normal mobilization and oxidation of fatty acids in HSL(-/-) mice, as judged by similar values of respiratory quotient and oxygen consumption as in HSL(+/+) controls. In isolated adipocytes, lipolysis in the absence of beta-adrenergic stimulation was 1.9-fold greater in HSL(-/-) than in HSL(+/+) cells (P < 0.05), increasing to 6.5-fold after fasting (P < 0.01). After 6 wk of a fat-rich diet containing 31.5% of energy as lipid, weight gain of HSL(-/-) mice was 4.4-fold less than in HSL(+/+) mice (P < 0.01), and total abdominal fat mass was 5.2-fold lower in HSL(-/-) than in HSL(+/+) mice (P < 0.01). In white adipose tissue, HSL is essential for normal acute beta-adrenergic-stimulated lipolysis and permits normal triglyceride storage capacity in response to dietary fat loading. However, HSL-independent lipolysis can markedly increase during fasting, both in isolated adipocytes and in intact mice, and can mediate a normal flux of fatty acids during fasting.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".