62 Evaluating detoxification efficacy of deoxynivalenol by encapsulated sodium metabisulfite (SMBS) using an in vitro intestinal epithelial cell IPEC-J2 model
Bibliographic record
Abstract
Abstract Deoxynivalenol (DON) contamination occurs on feed ingredients and causes a reduction in growth performance, damage to the intestinal epithelial cells, and increased susceptibility to enteric pathogen challenge. Sodium metabisulfite (SMBS) has been successfully used to destroy DON in processed grains or feeds. However, SMBS degrades quickly under aqueous acid conditions, such as pig stomachs, and when SMBS is added to diet, little will remain intact in the small intestine where an optimal pH environment exists for detoxification by SMBS. Thus, this study was to encapsulate SMBS into microparticles to deliver intact SMBS to the small intestine and evaluate its efficacy of DON detoxification in the simulated intestine fluid (SIF) using an in vitro intestinal epithelial cell (IPEC-J2) model. The results showed that around 40% of the SMBS loading capacity was achieved in the microparticles. In vitro release studies showed that 1.61% of encapsulated SMBS was released in the simulated gastric fluid (SGF), and the majority of encapsulated SMBS (75.52%) was progressively released in the SIF within 6 h at 37 °C. In vitro cell experiments showed that DON treated with the SIF containing 0.5% SMBS for 2 h completely attenuated the DON-induced cytotoxicity. When DON was treated with the SGF containing 0.5% encapsulated SMBS for 2 h and then the mixture was mixed with the SIF (1:1) and incubated for 2 h, it also completely attenuated the DON-induced cytotoxicity. Moreover, DON treated with the simulated fluid containing 0.5% encapsulated SMBS completely attenuated the gene expression inflammatory cytokines upregulated by DON and restored trans-epithelial electrical resistance (TEER) and tight junction and cytoskeleton. In summary, the encapsulation of SMBS was stable in SGF and allowed a progressive release of SMBS in the SIF. Moreover, the released SMBS in the SIF effectively attenuated the adverse effects induced by DON in the intestinal epithelial cells.
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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) | 0.000 | 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 | 0.000 |
| 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 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".