Effects of Palmitate on Insulin Secretion and Exocytotic Proteins in Islets of Diabetic Goto-Kakizaki Rats
Bibliographic record
Abstract
OBJECTIVES: We examined how lipotoxicity contributes to pancreatic beta-cell secretory dysfunction. METHODS: Effects of palmitate (0.2 mmol/L) were assessed on insulin secretion and soluble N-ethylmaleimide-sensitive factor attachment protein receptor exocytotic machinery in isolated pancreatic islets of type 2 diabetic Goto-Kakizaki (GK) rats and control Wistar (W) rats. RESULTS: One-day palmitate treatment enhanced basal glucose (3.3 mmol/L)-mediated insulin release 5-fold in W and 3.3-fold in GK islets, but had no effect at high glucose (16.7 mmol/L) on W islets while enhancing GK islet insulin release 2-fold. After 3-day palmitate treatment, high-glucose-induced insulin release in W islets was reduced (by 69%), whereas in GK islets, it increased 2-fold. Insulin response to arginine was reduced in both islet types, but more so in GK islets. Exocytotic proteins (syntaxin 1A, VAMP-2, SNAP-25, nSec1) were reduced in GK islets by 56% to 69% compared with W islets. In W islets, palmitate treatment caused no changes in the levels of these proteins but increased actin levels. In GK islets, whereas 1-day palmitate treatment had no effect, 3-day treatment further reduced SNAP-25 and nSec1 levels. CONCLUSIONS: Lipotoxic-induced secretory insufficiency in normal islets may be attributed to lack of compensatory increase in levels of exocytotic proteins and/or excess actin. However, in GK islets, palmitate treatment moderately enhanced insulin secretion, likely by acting on proximal metabolic pathways capable of compensating for the defective soluble N-ethylmaleimide-sensitive factor attachment protein receptor exocytotic machinery. These results were different from prolonged glucose treatment we previously reported, indicating differences between glucotoxic and lipotoxic actions on the insulin secretory machinery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".