FabG moonlights as an extracellular adhesin mediates cytoadhesion of Streptococcus suis via interaction with plasminogen
Bibliographic record
Abstract
Streptococcus suis serotype 2 (SS2) is an important zoonotic bacterial pathogen that can causes meningitis, septicemia, endocarditis, arthritis, pneumonia, and streptococcal toxic shock-like syndrome in pigs and humans. FabG, an essential reductase in the bacteria type II fatty acid synthesis pathway, is present in the extracellular space and binds to many extracellular matrix components of the host. In this study, we investigated the moonlight function of FabG. First, we found that the transcription of FabG in virulent SS2 strains was significantly higher than in avirulent strains, indicating that FabG may be involved in the pathogenesis of S. suis. After preparation of recombinant proteins, we found that the recombinant FabG could directly bind to host epithelial cells. ELISA, SPR, and Far-Western blot assays showed that rFabG could bind to the host plasminogen. Furthermore, the ability of rFabG to recruit host plasminogen to degrade the host ECM component was visualized by electron microscopy. Moreover, we found that rFabG could bind to complement C3 in serum and enhance the survival ability of S. suis in serum. Collectively, these data imply that FabG is a moonlight adhesin involved in S. suis cytoadhesion and a plasminogen receptor that could help S. suis break through the host barrier or evade immune defenses.
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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) | 0.001 | 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 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".