Somatostatin Receptor Type 2 Antagonism Improves Glucagon Counter-regulation in Biobreeding Diabetes-prone Rats
Bibliographic record
Abstract
Impaired counterregulation during hypoglycemia in type 1 diabetes (T1D) is partly due to inadequate pancreatic islet alpha-cell glucagon secretion. We hypothesized that hypoglycemia can be prevented in autoimmune T1D by selective somatostatin receptor type 2 (SSTR2) antagonism of alpha cells to relieve SSTR2 inhibition, thereby increasing glucagon secretion. Diabetic biobreeding diabetes prone (BBDP) rats (D) vs non-diabetic BBDP (N) rats, underwent infusion of vehicle or SSTR2 antagonist (SSTR2a) during insulin-induced hypoglycaemia. D rats, treated with SSTR2a, needed little or no glucose to maintain hypoglycemia. To monitor real-time glucagon secretory response directly, we developed the technique of thin slices of the pancreas from D and N rats as well as normal human pancreas, subjected to perifusion with vehicle vs SSTR2a. SSTR2a treatment enhanced glucagon secretion in N and D rats and human pancreas. We conclude that SSTR2 antagonism can enhance hypoglycemia-stimulated glucagon release sufficient to achieve normoglycemic control.
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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) | 0.001 | 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 | 0.001 |
| 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".