3–0 methylglucose absorption in vivo correlates with nutrient absorption and intestinal surface area in experimental short bowel syndrome
Bibliographic record
Abstract
BACKGROUND: Inert carbohydrate probes are widely used to study intestinal permeability and examine the passive uptake of markers. This study examined the use of quantifying 3-0 methylglucose (3-0 MG) absorption as a marker of intestinal surface area and active nutrient transport capability. METHODS: Using a rat model, varying degrees of short bowel syndrome (SBS) were induced: sham operation (intestinal transection only), 50% resection (R50), 75% resection (R75), and 90% resection (R90; n = 6 to 8 in each group). Animals were pair fed, and over days 5 and 6 postoperation, a balance study was done to quantify absorption of dietary fat, protein, and carbohydrate. On day 7, animals were gavaged with the test solution containing 3-0 MG, lactulose, and mannitol, followed by a 16-hour urine collection. Urine recovery of probes was quantified using high-performance liquid chromotography. Animals were then killed, and the gross and microscopic intestinal morphology was determined. RESULTS: As expected, increased resection resulted in reduced absorption of dietary nutrients and 3-0 MG, which reached significance in the R90 resected animals. 3-0 MG absorption was significantly correlated with intestinal surface area and the absorption of dietary protein and fat (p < .01 for all comparisons). Interestingly, 3-0 MG absorption was not significantly correlated with the absorption of dietary carbohydrate. CONCLUSIONS: 3-0 MG absorption is a useful marker of functional intestinal surface area and of the absorption of dietary fat and protein in experimental SBS. 3-0 MG may be a useful marker of nutrient absorptive capacity in patients with SBS; further study is indicated.
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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 | 0.001 |
| 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".