Enhanced islet expansion by β‐cell proliferation in young diabetes‐prone rats fed a protective diet
Bibliographic record
Abstract
Type 1 diabetes is inhibited in diabetes-prone BioBreeding (BBdp) rats fed a low-antigen hydrolyzed casein (HC) diet. In cereal-fed BBdp rats, islet expansion is defective accompanied by a futile upregulation of islet neogenesis without increased islet mass, due to a subtle blockage in islet cell cycle. We hypothesized that islet growth is enhanced before insulitis in HC-fed young BBdp rats and that islet neogenesis could be stimulated by a trophic factor, islet neogenesis-associated protein (INGAP). beta-Cell homeostasis was analyzed using immunohistochemistry, morphometry, laser capture microdissection and RT-PCR in BBdp rats fed HC or cereal diets. beta-cell proliferation in small and medium islets, and the number and area fraction of medium and large islets were increased in HC-fed animals. In situ islet cell cycle analysis revealed an increased proportion of proliferating S + G2 cells in medium and large islets of 25-45 day HC-fed rats. Expression of the cell cycle inhibitor, p16(INK4a) correlated with islet size and the percentage of p16(INK4a+) beta-cells increased in HC-fed BBdp rats, likely reflecting an increase in large islet area fraction. In HC-fed rats, extra-islet insulin(+) clusters (EIC), insulin(+) duct cells, large islet area fraction, and beta-cell mass were increased. Neurogenin-3 and Pdx-1, markers of beta-cell progenitors, were increased in EIC of weanling HC-fed rats. Daily injection of INGAP (30-45 days) increased the number of small islets, total islets, and insulin(+) cells in small ducts. Thus, in BBdp rats fed a protective HC diet, beta-cell expansion is enhanced through increased beta-cell proliferation and stimulation of islet neogenesis.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".