Diabetes in the Cohen Rat Intensifies the Fetal Pancreatic Damage Induced by the Diabetogenic High Sucrose Low Copper Diet
Bibliographic record
Abstract
Intrauterine hyperglycemic environment could harm the fetus making it more susceptible to develop postnatal glucose intolerance. A possible mechanism is compromise of the fetal pancreatic development. We previously found that a high sucrose low copper diabetogenic diet induces type 2 diabetes in the Cohen diabetic sensitive rats, but not in the Sabra control rats. However, oxidative stress was observed in the placenta and term fetal liver of diabetic and nondiabetic controls. We now investigated whether the fetal pancreas is affected by this diet and whether the effects result from oxidative stress, maternal hyperglycemia, or both. Term fetal pancreases were evaluated for morphology, beta cells, oxidative stress, apoptosis, and DNA methylation. There were no microscopic changes in hematoxylin and eosin stained sections and beta cells immunostaining in the pancreas of fetuses of both strains. Fetuses of the sensitive strain fed diabetogenic diet had significantly higher activity of superoxide dismutase and catalase, elevated levels of low molecular weight antioxidants, and more intense immunostaining for nuclear factor kappa-B and hypoxia inducing factor-1α. Both strains fed diabetogenic diet had increased immunostaining for Bcl-2-like protein and caspase 3 and decreased immunostaining for 5-methylcytosine in their islets and acini. Our data suggest that maternal diabetogenic diet alters apoptotic rate and epigenetic steady states in the term fetal pancreas, unrelated to maternal diabetes. Maternal hyperglycemia further increases pancreatic oxidative stress, aggravating the pancreatic damage. The diet-induced insults to the fetal pancreas may be an important contributor to the high susceptibility to develop diabetes following metabolic intrauterine insults.
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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 | 0.001 | 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".