TLR2-dependent recognition of Streptococcus suis is modulated by the presence of capsular polysaccharide which modifies macrophage responsiveness
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
Streptococcus suis capsular type 2 is an important swine pathogen and an agent of zoonosis. Although meningitis is the most common form of disease, septicemia and septic shock are also frequently reported. Despite reports that CD14 is involved in the recognition of encapsulated S. suis by host cells, the mechanisms underlying exacerbated release of pro-inflammatory cytokines, which may have a negative impact on disease outcome, are unclear. Here, we demonstrated that stimulation of human monocytes by whole encapsulated S. suis or its purified cell wall components influences the relative expression of Toll-like receptor (TLR)-2 and CD14 mRNA. Moreover, this stimulation triggered the release of cytokines (tumor necrosis factor-alpha, IL-1beta and IL-6) and chemokines (IL-8 and monocyte chemoattractant protein-1), which was significantly reduced by antibody-mediated blocking of TLR2 but not TLR4. Mouse macrophages deficient in TLR2 also showed impaired cytokine responses to encapsulated bacteria. Given that this response was completely abrogated in myeloid differentiation factor 88 (MyD88)-deficient macrophages, other TLRs might also be involved. Furthermore, we demonstrated that the presence of capsular polysaccharide (CPS)-modulated S. suis interactions with TLRs. In the absence of CPS, uncovered cell wall components induced cytokine and chemokine production via TLR2-dependent as well as -independent pathways, whereas CPS contributes to MCP-1 production in a MyD88-independent manner. Overall, this study contributes to a better understanding of the inflammatory processes induced by an encapsulated pathogen and suggests that the relative expression of CPS, known to be modulated during bacterial invasion and dissemination in the host, might alter interactions with host cells and, consequently, the outcome of the inflammatory response.
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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 | 0.000 | 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 it