Ontogeny of Regeneration of β-Cells in the Neonatal Rat after Treatment with Streptozotocin
Bibliographic record
Abstract
We induced partial beta-cell loss within the pancreas of neonatal rats using streptozotocin (STZ) to better characterize the mechanisms leading to beta-cell regeneration postnatally. Rats were administered either STZ (70 mg/kg) or buffer alone on postnatal d 4, and the endocrine pancreas was examined between 4 and 40 d later. STZ-treated rats showed an approximately 60% loss of existing beta-cells and a moderate hyperglycemia (<15 mm glucose), with levels returning to near-control values after 20 d. Within preexisting islets, there was increased cell proliferation in both insulin- and glucagon-positive cells at 8 d as well as alpha-cell hyperplasia. These were associated with increased pancreatic content and circulating levels of glucagon. Pancreatic levels of glucagon-like polypeptide-1 (GLP-1) were increased 8 d after STZ compared with control values, and the GLP-1/glucagon ratio changed in favor of GLP-1. Administration of a GLP-1 receptor antagonist, GLP-1-(9-39), resulted in decreased recovery of beta-cells after STZ and worse glucose tolerance. Atypical glucagon-positive cells were found within islets that colocalized pancreatic duodenal homeobox-1 or glucose transporter-2. Pancreatic levels of insulin mRNA did not return to control values until 40 d after STZ. Insulin-positive cells were found after 8 d that colocalized glucagon and GLP-1. The model shows that the pancreas of the young rat can rapidly regenerate a loss of beta-cells, and this is associated with hyperplasia of alpha-cells with an altered phenotype of increased GLP-1 synthesis. The target cells of GLP-1 probably include immature beta-cells that coexpress proglucagon.
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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 | 0.000 |
| 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) | 0.000 | 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".