PSVIII-9 Effects of different sources and levels of dietary iron and selenium on the postprandial net portal appearance of these minerals in pigs
Bibliographic record
Abstract
Abstract This study compares the post-absorptive levels of iron (Fe) and selenium (Se) in pigs fed different sources and levels of these minerals. Twelve 55-kg pigs were surgically equipped with portal and carotid catheters and a portal ultrasonic flow probe and used in a cross-over design to assess the 11-hours net portal-drained viscera (PDV) flux of serum Fe and Se after ingestion of boluses containing adequate (A; 200 and 0.6 mg) or high (H; 400 and 1.2 mg) levels of these minerals from dietary inorganic (I) or organic (O) sources. Arterial Fe concentrations increased (158 %) within the first six hours post-meal and gradually decreased thereafter (P < 0.01). Values for I were greater than O until six hours post-meal (P < 0.01) and for A than H between five and eight hours post-meal (P ≤ 0.01). There was a tendency for the interaction source x level (P = 0.07) on net PDV fluxes of Fe where values for AI were greater than AO (P = 0.02). The cumulative Fe PDV appearance (% of intake) was greater for I (2.2 %) than O (-1.7 %) after four hours post-meal (P = 0.02) but this effect was no longer detected at 11 hours post-meal. Arterial Se concentrations decreased by 7 % from pre-meal values until 11 hours post-meal (P < 0.01) and this decline was more pronounced for O than I (P = 0.03). Net PDV flux of Se was positive but only during the first 90 minutes post-meal (P < 0.01). The cumulative Se PDV appearance (% of intake) was greater for I (20.0 %) than O (-3.8 %) at 45 minutes post-meal (P = 0.04) but this effect did not persist thereafter. In conclusion, net availability of Fe and Se was greater for I than O during the early post-meal period. Whether these results reflect non-absorption or greater O intestinal retention remains to be elucidated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".