Effect of zearalenone on the jejunum of weaned gilts through the Epac1/Rap1/JNK pathway
Bibliographic record
Abstract
Zearalenone (ZEN) is a nonsteroidal estrogenic mycotoxin produced by Fusarium strains that is harmful to the intestinal health of animals and is widely present in contaminated crops. The objective of this study was to investigate the potential therapeutic target of ZEN-induced jejunal damage in weaned gilts. Sixteen weaned gilts either received a basal diet or a basal diet supplemented with 3.0 mg/kg ZEN in a 32-d experiment. The results showed that ZEN at the concentration of 3.0 mg/kg diet activated the inflammatory response and caused oxidative stress of gilts (P < 0.05). ZEN exposure resulted in the upregulation (P < 0.05) of the Exchange protein directly activated by the cAMP 1/Ras-related protein1/c-Jun N-terminal kinase (Epac1/Rap1/JNK) signaling pathway in the jejunum of gilts in vivo and in the intestinal porcine epithelial cells in vitro. The cell viability, EdU-positive cells, and the mRNA expression of B-cell lymphoma-2 (Bcl-2) were decreased, whereas the reactive oxygen species production and the mRNA expressions of Bcl-2-associated X (Bax) and Cysteine-aspartic acid protease 3 (Caspase3) were increased (P < 0.05) by ZEN. However, ZEN increased the mRNA expression of Bcl-2 and decreased the mRNA expressions of Bax and caspase3 (P < 0.05) after the Epac1 was blocked. These results collectively indicated that a 3.0 mg ZEN /kg diet induced jejunal damage via the Epac1/Rap1/JNK signaling pathway.
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) | 0.001 | 0.001 |
| 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".