Detection of Growth-Stimulating Activity in the Proximal Small Intestine during Weaning in the Suckling Rat
Bibliographic record
Abstract
Adaptive changes in enzyme expression and cell proliferation occur in the small intestine of the suckling rat at the beginning of the 3rd postnatal week. This physiological adaptation can be modulated by factors including diet or glucocorticoids. We have previously described an intestinal growth-stimulating fraction derived from the remnant small bowel after resection and found that enteral nutrition is critical for its detection. In view of the similarity between the changes in cell proliferation that occur between 15 and 22 days postnatally and those immediately after resection, we sought to determine whether the small intestinal mucosa of the neonatal rat also contains a similar growth-stimulating fraction. Our results show that extracts of the proximal intestine prepared from 15-day-old rats do contain the growth-stimulating fraction. The activity was not detectable in maternal milk nor in the intestinal extract from 8-day-old rats. When the suckling rats were deprived of solid food, the activity was not detectable in the 15-day-old group. Gel filtration of the acidic extract on a G-25 Sephadex column revealed that the active component is made up of two molecular weight species (approximately 4,500 and 1,500 daltons) similar to that described in the proximal intestine of the postresectional model. These findings suggest that dietary factors may play a role in modulating the proliferative changes that occur at the time of weaning by way of the growth-stimulating fraction.
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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 | 0.001 | 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 | 0.000 |
| 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".