Neonatal Nutrition: Metabolic Programming of Pancreatic Islets and Obesity <sup>1</sup>
Bibliographic record
Abstract
Obese individuals are more likely to suffer from diseases termed the "metabolic syndrome," which includes type 2 diabetes. It is now recognized that early life dietary experiences play an important role in the etiology of such diseases. In this context, the consequences of a high carbohydrate (HC) dietary intervention in neonatal rats is being studied in our laboratory. Artificial rearing of 4-day-old rat pups on a HC milk formula up to Day 24 results in the immediate onset of hyperinsulinemia, which persists throughout the period of dietary intervention. Several adaptations at the biochemical, cellular, and molecular levels in the islets of these HC rats support the onset and persistence of the hyperinsulinemic condition during this period. Some of these adaptations include a distinct leftward shift in the insulin secretory capacity, increased hexokinase activity, increased gene expression of preproinsulin and related transcription factors and specific kinases in 12-day-old HC islets, and alterations in the number and size of islets. These adaptations are programmed and expressed in adulthood thereby sustain the hyperinsulinemic condition in the postweaning period and form the basis for adult-onset obesity. HC females spontaneously transmit the HC phenotype (chronic hyperinsulinemia and adult-onset obesity) to their progeny. Collectively, our results indicate that even a mere switch in the nature of the source of calories (from fat rich in rat milk to carbohydrate rich in the HC milk formula) during critical phases of early development in the rat results in metabolic programming of islet functions leading to chronic hyperinsulinemia (throughout life) and adult-onset obesity. This metabolic programming, once established, forms a vicious cycle because HC female rats spontaneously transmit the HC phenotype to their progeny. The results from our laboratory in the context of metabolic programming due to neonatal nutritional experiences are discussed in this review.
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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) | 0.000 | 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) | 0.001 | 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".