Gut carbohydrate digestive enzymes respond differentially to oxidative stress induced by in vivo infusion of hydrogen peroxide (H <sub>2</sub> O <sub>2</sub> ) in formula‐fed piglets
Bibliographic record
Abstract
We examined responses of the maximal specific activity (V max ) of key carbohydrate digestive enzymes in piglets with hydrogen peroxide (H 2 O 2 )‐induced systemic oxidative stress. Liquid formula‐fed piglets at the age of d 5 were fitted with an intraperitoneal catheter and infused with either 5 mmol H 2 O 2 /kg BW (PER, n=8) or physiologic saline (CON, n=8) in six injections daily for a period of 10 d. Jejunal enzyme activity experiments for lactase, sucrase, maltase and maltase‐glucoamylase were conducted at 37°C with substrate concentrations over two‐fold of K m values. Piglets experiencing oxidative stress had lower (P<0.05) jejunal V max for lactase and maltase (estimates±SE: PER, 6.54±0.68 vs. CON, 12.65±0.69; and PER, 57.39±1.02 vs. CON, 75.6±1.04 μmol/mg protein.min). However, there were no differences (P>0.05) in V max of maltase‐glucoamylase and sucrase (estimates±SE: PER, 0.71±0.08 vs. CON, 0.70±0.07; and PER, 10.50±1.37 vs. CON, 12.40±1.55 μmol/mg protein.min). We conclude that oxidative stress reduced intestinal lactase and maltase functions without affecting maltase‐glucoamylase and sucrase activities. Supported by OMAFRA of Canada.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".