Cell surface characteristics of nontypeable isolates of Streptococcus suis
Bibliographic record
Abstract
Streptococcus suis is a worldwide cause of various swine infections and is also an important agent of zoonosis. Strains of S. suis are classified according to their serotype, and currently, 35 serotypes are recognized. The aim of this study was to characterize nontypeable isolates of S. suis with regard to their cell surface properties and compare them with serotype 2 strains, the most frequently associated with infections. The seven nontypeable strains of S. suis isolated from infected animals demonstrated a stronger capacity to adhere to a fibronectin-coated polystyrene surface than the serotype 2 isolates. Three nontypeable strains were also tested for their ability to adhere to endothelial cells and were found to attach in higher amounts compared with the serotype 2 isolates. Electron microscopy analysis revealed the absence of a capsule in the seven nontypeable isolates, which correlated with a much higher cell surface hydrophobicity than that of serotype 2 isolates. All nontypeable isolates of S. suis also showed the capacity to form a biofilm while serotype 2 isolates were unable to do so. In conclusion, the nontypeable isolates of S. suis examined in this study possess surface properties different from those of serotype 2 isolates.
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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 | 0.001 |
| 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".