Modulation of Toll-like receptor-stimulated dendritic cell cytokine production by exogenous osteopontin. (98.32)
Bibliographic record
Abstract
Abstract Osteopontin (OPN) is a pleiotropic cytokine produced by mast cells, macrophages, activated T cells, NK T cells and dendritic cells and is present at high levels in human milk. Several studies in OPN-deficient mice have suggested a role for OPN in the development of Th1 and Th17 mediated immune responses. Dendritic cells (DC) are central regulators of T helper cell responses, however, it is unknown whether exogenous OPN supplied by milk plays a role in the differentiation of DC upon activation by signals through the TLRs. To address this question, we assessed the role of OPN in the LPS and CpG induced cytokine responses in bone marrow derived dendritic cells (BMDC). In the presence of OPN, the production of LPS and CpG stimulated IL-10, IL-6 and TNFα by BMDC was reduced in a dose dependent manner. OPN had no effect on LPS or CpG stimulated IL-12p40 or IL-12p70 production. OPN by itself did not induce IL-12p40, IL-12p70, IL-10, IL-6 or TNFα production by BMDC. These data suggest that exogenous OPN can modulate dendritic cell responses to TLR stimulation, and suggest a mechanism by which orally ingested OPN might influence the function of the intestinal immune system. Further studies are required to determine whether T helper cell polarization is affected by OPN treatment of BMDC, as well as to determine if exogenous OPN has similar inhibitory effects on cytokine production by tissue derived DC.
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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 | 0.001 |
| 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".