Characterization of Canadian Neisseria meningitidis serogroup B isolates and factor-H binding protein expression, data from the Canadian Immunization Monitoring Program Active (IMPACT), 2013–2020
Bibliographic record
Abstract
BACKGROUND: Invasive meningococcal disease, caused by Neisseria meningitidis, remains a significant health threat. This study examined the genetic diversity of serogroup B (NmB) organisms and assessed the potential coverage offered by the MenB-FHbp vaccine, licensed for individuals aged 10-25 years. NmB vaccines have not yet been incorporated into most routine immunization programs in Canada, with the exception of campaigns to deal with specific outbreaks and targeted vaccination efforts for at-risk groups. METHODS: From 2013 to 2020, NmB strains causing invasive meningococcal disease were collected through the Canadian Immunization Monitoring Program ACTive surveillance network. Each isolate underwent analysis to determine clonal complex (CC) and factor-H binding protein peptide (fHbp), and fHbp surface expression using the Meningococcal Antigen Surface Expression (MEASURE) assay. RESULTS: Of 119 isolates analyzed, 118 coded for full-length fHbp. CC-269 (48 isolates) and CC-41/44 (42 isolates) represented 75.6 % of all isolates. fHbp peptide 15 was the most prevalent peptide up until 2015 (47.4-53.9 %) but declined to 0-22.1 % afterwards. Median fHbp surface expression overall was 4270 MFI (IQR 2132-14,462). Peptides 15 and 210 (both CC-269) had the highest fHbp surface expression: peptide 15 (median: 18,446, IQR: 14,462-22,170) and peptide 210 (median: 28,306, IQR 24,935-31,678). Notably, 90.8 % of isolates had fHbp surface expression at a level associated with MenB-FHbp protection. CONCLUSION: CC-269 and CC-41/44 predominated in 2013-2020. Notably, peptide 15, the most prevalent until 2015, declined significantly thereafter. The majority of isolates expressed fHbp at a level associated with vaccine-induced protection. A wider age authorization for the vaccine may result in increased prevention of NmB disease.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".