Differential cytokine expression in T-cell subsets of chicken caecal tonsils co-cultured with three species of Lactobacillus
Bibliographic record
Abstract
Members of the intestinal microbiota play an important role in the development of T-cells. Little is known about responses of intestinal T-cell subsets of chickens to commensal bacteria. Therefore, we set out to characterise cytokine responses in T-cells after exposure to lactobacilli. Caecal tonsil mononuclear cells were isolated and co-cultured with Lactobacillus acidophilus, Lactobacillus reuteri and Lactobacillus salivarius for 12 hours. Subsequently the CD4+ and CD8+ cells were fractionated by flow cytometry and the expression of pro- and anti-inflammatory cytokines as well as Toll-like receptor 21 (TLR21) was determined. The results demonstrated that chicken CD4+ and CD8+ T-cells express TLR21 and that the various isolates of lactobacilli differentially induces the expression of interleukin 10, interferon-gamma and transforming growth factor beta. Our results demonstrate that different Lactobacillus species have the capacity to regulate intestinal T-cell responses and that these responses may be important to intestinal homeostasis.
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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".