<i>Streptococcus suis</i> serotype 5: Emerging zoonotic threat with distinct genomic heterogeneity
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 is a significant pig pathogen and an emerging zoonotic agent. Serotype 5 is becoming an increasing concern among pigs and humans with S. suis infection worldwide. This study investigated the population structure, phylogenetic relationship, genomic characteristics, and virulence of serotype 5 population, analyzing 89 isolates, including eight from human cases. The results revealed significant genomic heterogeneity and diverse virulence levels within serotype 5 population. Phylogenetic analysis identified two distinct lineages with notable differences in evolution and genomic traits. Thirty-two representative serotype 5 strains were clustered into four groups: ultra-highly virulent (UV) (n = 1), highly virulent plus (HV+) (n = 4), HV (n = 11), and virulent (V) (n = 16). Virulence levels progressively decreased from the UV group to HV+, HV, and V groups. The UV, HV+, and HV strains induced significantly lethal infection in mice during the early phase of infection. The lethal infection induced by UV and HV+ strains was time-dependent but dose-independent. Ultra-high bacterial loads, excessive pro-inflammatory cytokines, and severe organ damage were responsible for the sudden death of mice infected with UV strain at the early phase of infection. The capacity to establish infection, induce excessive pro-inflammatory cytokine production, and elevate biomarkers associated with organ damage varied significantly among HV+ strains. The V strains demonstrated the capacity to induce delayed lethal infection. These findings emphasized the serious public health risk posed by serotype 5 strains. The valuable information for developing effective prevention and control strategies for S. suis serotype 5 infections was provided.
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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