Treatment with Ligands for Toll-Like Receptors 2 and 5 Induces a Mixed T-helper 1- and 2-Like Response in Chicken Splenocytes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Toll-like receptors (TLRs) play an important role in the induction of host responses to pathogens. Interactions between TLRs and their ligands result in the production of cytokines that modulate the adaptive immune response through polarizing CD4+ T cells into either T-helper (T(H))1 or T(H)2 phenotypes. In this regard, TLR2 and TLR5 ligands have been shown to induce responses in mammals that are biased toward T(H)1 or T(H)2 phenotypes. However, whether a similar phenomenon occurs in chickens remains to be elucidated. To this end, chicken splenocytes were stimulated with the TLR2 ligand Pam3CSK4 and the TLR5 ligand flagellin, and the relative expression of several cytokines and transcription factors was quantified at 1, 3, 8, and 18 h poststimulation. The results suggest that both TLR ligands induce a mixed T(H)1- and T(H)2-like response, as characterized by the upregulation of both the T(H)1-associated cytokine interferon-γ and the T(H)1-inducing cytokine interleukin (IL)-12, in addition to the T(H)2-associated cytokine IL-4, and in the case of flagellin, IL-13 as well. Future studies may be aimed at assessing the adjuvant potential of these ligands.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 it