Protective effects of methylsulfonylmethane (MSM) on barrier function injury of porcine intestinal epithelial cells (IPEC-J2) induced by lipopolysaccharide (LPS)
Bibliographic record
Abstract
Methylsulfonylmethane (MSM) is a natural organic sulfur component that has anti-inflammatory and antioxidant properties. In this study, injury of porcine intestinal epithelial cell (IPEC-J2) models were used to investigate the effect of MSM on lipopolysaccharide (LPS)-induced porcine intestinal epithelium barrier damage. The results of the cell cycle showed that the cells in the G2/M phase decreased significantly with the supplementation of 300 mmol/L MSM ( P < 0.05). The ELISA assay revealed that MSM could significantly inhibit the expression of tumor necrosis factor-alpha, interleukin-1, and interleukin-6 ( P < 0.01). Meanwhile, MSM could significantly increase the value of cell monolayer transepithelial electrical resistance while reducing the FITC-dextran flux permeability and lactate dehydrogenase activity in IPEC-J2 cells ( P < 0.01). Additionally, 300 mmol/L MSM significantly increased both mRNA and protein expression of occludin, claudin-1, and ZO-1 ( P < 0.05). Furthermore, MSM prevented the downregulation of epidermal growth factor receptor (EGFR) by LPS, indicating that MSM might enhance tight junction function through mechanisms of activation of EGFR-mediated protein synthesis in IPEC-J2 cells. Therefore, our findings suggested that MSM has protective effects on inflammation and epithelial barrier injury in LPS-induced IPEC-J2 cells, indicating that MSM might be used as a potential therapeutic agent in the pig industry.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".