Hemoglobin and Streptococcus suis cell wall act in synergy to potentiate the inflammatory response of monocyte-derived macrophages
Why this work is in the frame
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Bibliographic record
Abstract
Streptococcus suis, a major swine pathogen world-wide, can trigger macrophages to secrete large amounts of proinflammatory cytokines, which increase the permeability of the blood-brain barrier. In this study, we hypothesized that hemoglobin may potentiate the inflammatory response of human macrophages stimulated with a S. suis cell-wall preparation. Monocyte-derived macrophages were stimulated with the S. suis cell-wall preparation in the presence or absence of human hemoglobin, and the secretion of interleukin-1beta (IL-1beta), tumor necrosis factor-alpha (TNF-alpha), IL-6, and IL-8 was analyzed by enzyme-linked immunosorbent assays. The cell-wall preparation induced dose-dependent IL-1beta, TNF-alpha, IL-6, and IL-8 responses in macrophages. Hemoglobin potentiated the cell-wall induced inflammatory response, resulting in a significantly higher secretion of all the cytokines. The S. suis cell-wall preparation in combination with hemoglobin activated macrophage intracellular kinases involved in inflammatory signaling pathways. In conclusion, hemoglobin, which may be released in vivo by the action of S. suis suilysin on red blood cells, contributes to raising the levels of pro-inflammatory mediators by acting in synergy with S. suis cell-wall components. This phenomenon may contribute to the development and the severity of meningitis.
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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) | 0.000 | 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