Genetic and antigenic characterization of Canadian invasive Neisseria meningitidis serogroup C (MenC) case isolates in the post-MenC conjugate vaccine era, 2009-2013
Bibliographic record
Abstract
We previously reported a shift in the electrophoretic type (ET) of invasive MenC in Canada from predominantly ET-15 to ET-37 in the post-MenC conjugate vaccine period. This study sought to confirm this trend by examining all culture-confirmed invasive MenC case isolates in Canada in the period from 1 January 2009 to 31 December 2013. Of the 50 MenC isolates, 18 belonged to ET-15, 28 belonged to ET-37 (but not ET-15), and four belonged to other clonal types. Analysis of the serotype and serosubtype antigens, porA and fetA gene sequences provided data to show that invasive MenC belonging to ET-15 and ET-37 were two very different subpopulations within the ST-11 clonal complex. Sequence analysis of the fHbp genes suggested that 12 different types of factor H-binding protein were found among the ET-15 isolates while 86 % of ET-37 isolates were found to have fHbp genes predicted to encode peptide 22. The nadA gene in 12 MenC isolates was disrupted due to IS1301 insertion and 11 of these 12 isolates belonged to ET-15. Ten per cent of the invasive MenC were found to have a frame-shift mutation in their fHbp genes that predicted no fHbp produced. Significant diversity and frame-shift mutations of fHbp genes were found in invasive MenC strains in Canada.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".