Locally and systemically active glucocorticosteroids modify intestinal absorption of lipids in rats
Bibliographic record
Abstract
Orally administered systemically active steroids enhance the digestive and absorptive functions of the intestine, but their effect on lipid uptake is unknown. The effect of the locally acting steroid budesonide on intestinal absorptive function also is unknown. Accordingly, this study was undertaken to assess the influence of 4 wk of treatment of weaning male rats with a daily oral gavage of budesonide (BUD), prednisone (PRED), or control vehicle on the jejunal and ileal uptake of fatty acids and cholesterol. BUD enhanced jejunal uptake of oleic acid and ileal uptake of linoleic acid. PRED increased jejunal uptake of cholesterol and ileal uptake of lauric, palmitic, linoleic, and linolenic acids. Higher doses of BUD (up to 1 mg/kg) given to adult rats for 2 wk further increased the uptake of some lipids. The changes in the uptake of lipids were not due to variations in the weight of the intestinal mucosa or in the animals' food intake. Ileal ornithine decarboxylase mRNA expression was increased with PRED, but there were no steroid-associated changes in the expression of the mRNA of the early response genes c-myc, c-jun, or c-fos or of proglucagon, the liver fatty acid-binding protein (FABP), the ileal lipid-binding protein, tumor necrosis factor alpha, interleukin 2 (IL-2), IL-6, or IL-10. In summary, treatment of weanling rats with BUD and PRED enhances the uptake of some lipids by a process that is independent of the effects of early response genes and genes encoding cytokines, proglucagon, and FABP.
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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) | 0.001 | 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) | 0.001 | 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".