A Role for Hormone-Sensitive Lipase in Glucose-Stimulated Insulin Secretion
Bibliographic record
Abstract
Endogenous lipid stores are thought to be involved in the mechanism whereby the beta-cell adapts its secretory capacity in obesity and diabetes. In addition, hormone-sensitive lipase (HSL) is expressed in beta-cells and may provide fatty acids necessary for the generation of coupling factors linking glucose metabolism to insulin release. We have recently created HSL-deficient mice that were used to directly assess the role of HSL in insulin secretion and action. HSL(-/-) mice were normoglycemic and normoinsulinemic under basal conditions, but showed an approximately 30% reduction of circulating free fatty acids (FFAs) with respect to control and heterozygous animals after an overnight fast. An intraperitoneal glucose tolerance test revealed that HSL-null mice were glucose-intolerant and displayed a lack of a rise in plasma insulin after a glucose challenge. Examination of plasma glucose during an insulin tolerance test suggested that HSL-null mice were insulin-resistant, because plasma glucose was barely lowered after the injection of insulin. Freshly isolated islets from HSL-deficient mice displayed elevated secretion at low (3 mmol/l) glucose, failed to release insulin in response to high (20 mmol/l) glucose, but had a normal secretion when challenged with elevated KCl. The phenotype of heterozygous mice with respect to the measured parameters in vitro was similar to that of wild type. Finally, the islet triglyceride content of HSL(-/-) mice was 2-2.5 fold that in HSL(-/+) and HSL(+/+) animals. The results demonstrate an important role of HSL and endogenous beta-cell lipolysis in the coupling mechanism of glucose-stimulated insulin secretion. The data also provide direct support for the concept that some lipid molecule(s), such as FFAs, fatty acyl-CoA or their derivatives, are implicated in beta-cell glucose signaling.
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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 | 0.001 |
| 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 | 0.000 |
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 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".