Development, Characterization, and Functional Activity of a Panel of Specific Monoclonal Antibodies to Inner Core Lipopolysaccharide Epitopes in<i>Neisseria meningitidis</i>
Bibliographic record
Abstract
A panel of six murine monoclonal antibodies (MAbs) recognizing inner core lipopolysaccharide (LPS) epitopes of Neisseria meningitidis was prepared and characterized in order to determine the diversity of inner core LPS glycoforms among disease and carrier isolates. Two of these MAbs, L2-16 (immunoglobulin G2b [IgG2b]) and LPT3-1 (IgG2a), together with a third, previously described MAb, L3B5 (IgG3), showed reactivity, either individually or in combination, with all except 3 of 143 disease and carriage isolates (125 of 126 strains from blood, cerebrospinal fluid, or skin biopsy samples and 15 of 17 from nasopharyngeal cultures). MAbs L3B5, L2-16, and LPT3-1 were further characterized in an indirect immunofluorescence assay. All three MAbs bound to the bacterial cell surface, findings that correlated strongly with whole-cell enzyme-linked immunosorbent assay and immunodot blots. However, in contrast to our findings with L3B5, cell surface binding of L2-16 or LPT 3-1 did not correlate with functional activity as determined by bactericidal or infant rat passive protection assays against wild-type N. meningitidis strains. These findings are provocative with respect to the requirements for protective activity of antibodies and the development of inner core LPS vaccines against invasive meningococcal 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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".