Effects of increasing dietary zinc oxide levels on parameters of intestinal and renal mitochondrial energy metabolism and antioxidant system, and intestinal inflammation in weaned piglets
Bibliographic record
Abstract
This study examined the effects of increasing dietary zinc oxide (ZnO) levels on intestinal and kidney mitochondrial metabolism and oxidative balance in weaned pigs. One hundred twenty weaned piglets were assigned to three experimental diets: 100, 1000, and 3000 mg Zn/kg. Piglets were slaughtered on days 21 (weaning), 23, 35, or 42 for small intestine and kidney samples collection. Mitochondrial concentrations of zinc (Zn) and copper (Cu), mitochondrial respiration, antioxidant activities, inflammatory response, and related genes expression were analyzed. Piglets fed 3000 Zn had the highest mitochondrial Zn concentrations in both tissues ( P < 0.001). The lowest mitochondrial Cu concentrations in both tissues were detected for 100 Zn at day 35 ( P ≤ 0.007). Jejunal mitochondrial superoxide dismutase activity was higher in 3000 Zn compared to 100 Zn piglets ( P = 0.019). Mitochondrial glutathione peroxidase activity was not affected by treatments ( P = 0.113). The jejunum mucosa mRNA expression of most antioxidant and innate immunity response-related genes was lower for 3000 Zn piglets ( P ≤ 0.013). No effect on mitochondrial respiration and antioxidant response was detected in kidney ( P ≥ 0.193). In conclusion, increasing dietary ZnO levels affected mitochondrial Zn and Cu homeostasis with impacts on energy metabolism, the antioxidant system, and the innate immune response in post-weaning piglets.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".