Pro-inflammatory cytokine and chemokine release by human brain microvascular endothelial cells stimulated by<i>Streptococcus suis</i>serotype 2
Bibliographic record
Abstract
Streptococcus suis serotype 2 is a world-wide agent of diseases among pigs including meningitis, septicemia and arthritis. This microorganism is also recognized as an important zoonotic agent. The pathogenesis of the meningitis caused by S. suis is poorly understood. We have previously shown that S. suis is able to adhere to human brain microvascular endothelial cells (BMEC), but not to human umbilical vein endothelial cells (HUVEC). The objective of this work was to study the ability of S. suis serotype 2 to induce the release of the pro-inflammatory cytokines tumor necrosis factor alpha (TNF-alpha), interleukin-1 (IL-1); IL-6 and the chemokines IL-8 and monocyte chemotactic protein-1 (MCP-1) by human BMEC and HUVEC, using a sandwich enzyme-linked immunosorbent assay. S. suis was able to stimulate the production of IL-6, IL-8 and MCP-1 by BMEC but not HUVEC, in a time- and concentration-dependent manner. Bacterial cell wall components were largely responsible for such stimulation. The human and pig origin of strains does not seem to affect the intensity of the response; indeed, a very heterogeneous pattern of cytokine and chemokine production was observed for the different strains tested in this study. In situ production of cytokines and chemokines by BMEC may be the result of specific adhesion of S. suis to this cell type, with several consequences such as increased recruitment of leukocytes and an increase in the blood-brain barrier permeability.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".