Differential modulation of cysteinyl leukotriene receptor 1 and 2 expression by distinct Toll-like receptor agonists in monocyte-derived dendritic cells
Bibliographic record
Abstract
Dendritic cells (DC) acquire, during their maturation, the expression of the chemokine receptor CCR7 and the ability to migrate to lymph nodes in response to MIP3 beta (CCL19). This migration is impaired in mice lacking the leukotriene (LT) C 4 transporter and is restored by addition of exogenous LTC 4 . To further define the role of LT in human DC function, we studied their expression of LT receptors during their differentiation from monocytes and their maturation. Monocyte-derived immature DC had a lower expression of the LTD 4 receptor (CysLT1) than monocytes, whereas their expression of the LTC 4 /LTD 4 (CysLT2) and the LTB 4 (BLT1) receptors remained stable. Maturation of DC with lipopolysaccharide, a classical Toll-like receptor (TLR)4 agonist, reduced CysLT1 expression by a further 50%, whereas CysLT2 expression was increased and BLT1 expression was only marginally reduced. Zymosan, a TLR2 agonist, reduced all receptor levels, whereas the TLR3 agonist poly I:C had no effect on CysLT expression. LTC 4 , more than LTD 4 , was able to enhance human DC migration in response to CCL19 and promote DC activation of T-cell proliferation, when DC were matured with lipopolysaccharide or zymosan, but not polyI:C. Our data suggest that human DC may differentially respond to LT, depending on their maturational stimuli, and thus potentially affect both innate and adaptive immunity in the context of inflammation.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".