TLR9 Contributes to the Recognition of EBV by Primary Monocytes and Plasmacytoid Dendritic Cells
Bibliographic record
Abstract
TLR9 plays an important role in innate defense against viruses by the detection of CpG motifs of foreign DNA within intracellular compartments. In this study, we evaluated the ability of EBV to promote monocyte and plasmacytoid dendritic cell (pDC) activation and cytokine release through TLR9 activation. We demonstrated that treatment of primary monocytes with EBV and with purified EBV DNA induced the release of IL-8 through TLR9. Activation of TLR9 by viral DNA requires endosomal maturation because pretreatment of monocytes with chloroquine strongly reduced IL-8 secretion. However, pretreatment of monocytes with siRNA directed against TLR2, with inhibitory ODN (iODN) or with a combination of both inhibitors strongly reduced the secretion of IL-8, providing evidence of a dual action of TLR2 and TLR9 in EBV recognition by monocytes. In contrast, production of MCP-1 and IL-10 in EBV-treated monocytes was mainly regulated through TLR2. Although EBV does not establish infection in pDCs, challenge with either live EBV particles or isolated EBV DNA was found to induce the release of IFN-alpha through TLR9, as supported by blockage of TLR9 activity with iODN or chloroquine. The role of TLR9 in the recognition of EBV by pDCs appears to be dominant, as confirmed by the marked inhibitory effect of iODN observed on the synthesis of IFN-alpha, IL-6, and IL-8 by pDCs. These results demonstrate that recognition of EBV by TLR9 is differently orchestrated in primary monocytes and pDCs to optimize viral recognition and antiviral response.
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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 | 0.001 | 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) | 0.000 | 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".