The effect of Lactobacillus johnsonii Ncc533 (La1) on the balance of Th1/Th2 cells in BALB/c mice
Bibliographic record
Abstract
PURPOSE: To determine the effect of Lactobacillus johnsonii Ncc533 (La1) on Th1/Th2 balance, the production of IL-4 and IFN-γ by splenocytes was evaluated following its administration to mice from newborn to adult. Changes in IL-4 and IFN-γ expression and serum levels of OVA-specific-IgE were then investigated in an asthma model. METHODS: Using flow cytometry (FCM) and ELISA, the percentage of IL-4 and IFN-γ expressing splenocytes and serum levels of OVA-specific-IgE were measured in different groups of mice. RESULTS: The percentages of IL-4 and IFN-γ expressing splenocytes in the offspring and in the adults of the La1-treated group were not significantly different when compared with the water-treated group. In the asthma model, the percentages of IL-4 expressing cells and the serum levels of OVA-specific-IgE in the La1-treated and water-treated group were significantly increased compared with those in the control group. The percentage of IFN-γ expressing cells was significantly lower in the La1-treated and water-treated groups. The percentage of IL-4 expressing cells and the serum levels of OVA-specific-IgE in the La1-treated group were significantly lower compared with those in the water-treated group, whereas the percentage of IFN-γ expressing cells was significantly higher. CONCLUSION: Administration of La1 had no effect on the immune system from the neonate to the adult in the normal mice. It did, however, significantly alter the percentages of IL-4 or IFN-γ expressing CD4+ T lymphocytes in the asthma model, suggesting that administration of La1 might regulate the immune response.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 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".