Adaptation of Colonic Uptake of Hexoses and Lipids following Ileal Resection: Effect of Variations in the Fat Content of the Diet
Bibliographic record
Abstract
This study was undertaken to determine the effect of varying the dietary composition of fat (corn oil and lard) on the colonic uptake of lipids (medium-chain-length fatty acids, cholesterol and decanol) and hexoses (D-glucose, galactose and 3-O-methyl glucose) in control rabbits with an intact intestinal tract, and in animals submitted 6 weeks previously to the surgical removal of the distal half of their small intestine. Food intake was similar in the control and resected animals fed the high-fat (HF) or the low-fat (LF) diet. Body weight gain was lower in control animals fed LF than HF, but was lower in resected animals fed HF than LF. Colonic adherent mucosal fluid volume was unaffected by diet or by ileal resection, but colonic weight was lower in resected than control animals fed LF. Colonic uptake of glucose and 3-O-methyl glucose but not galactose was changed by ileal resection and by dietary fat changes. Colonic uptake of fatty acids and cholesterol was also different in HF than LF, and in resected as compared with control animals, but these changes were not explained by variations in the effective resistance of the colonic unstirred water layer. Thus colonic transport function is altered by the manipulation of the dietary content of fat and by resection of the ileum.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".