94 Essential oils improve barrier function and attenuate inflammatory responses in porcine intestinal epithelial cells
Bibliographic record
Abstract
Abstract Thymol has been known as a functional phytochemical isolated from thyme essential oils and possesses antioxidant, antimicrobial, and anti-inflammatory properties. In this study, an in vitro lipopolysaccharide (LPS)-induced inflammation model using IPEC-J2 cell line was established to evaluate the inflammatory responses after thymol treatment. Cells were pre-treated with thymol for 1 h followed by LPS stimulation. Interleukin 8 (IL-8) secretion, reactive oxygen species (ROS) production, mRNA abundance of two pro-inflammatory cytokines, nutrient transporters, and tight junction proteins, transepithelial electrical resistance (TEER) and cell permeability were measured. The localization of zonula occludens-1 (ZO-1) and β-actin were also detected by immunofluorescent staining. The results showed that LPS stimulation increased IL-8 secretion, ROS production, and tumor necrosis factor alpha (TNF-α) mRNA abundance (P < 0.05), but the mRNA abundance of sodium-dependent glucose transporter 1 (SGLT1), excitatory amino acid transporter 1 (EAAC1) and H+/peptide cotransporter 1 (PepT1) were decreased (P < 0.05). However, thymol blocked ROS production (P < 0.05) and tended to decrease the production of LPS-induced IL-8 secretion (P = 0.0766). The mRNA abundance of IL-8 and TNF-α was reduced by thymol pre-treatment (P < 0.05), but thymol was unable to improve the gene expression of nutrient transporters (P > 0.05). TEER was reduced and cell permeability was increased after LPS stimulation (P < 0.05), but these effects were attenuated by thymol pre-treatment (P < 0.05). Moreover, thymol boosted ZO-1 and β-actin staining in the cells, but the mRNA abundance of ZO-1 and occludin-3 was not affected by either LPS or thymol treatments. These results indicated that thymol can enhance gut barrier structure and functions by reducing ROS production and pro-inflammatory cytokine gene expression in porcine epithelial cells during inflammation. The regulation of barrier function by thymol may be at post-transcriptional or post-translational levels.
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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) | 0.001 | 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".