Rational chemical design of the carbohydrate in a glycoconjugate vaccine enhances IgM-to-IgG switching
Bibliographic record
Abstract
Many pathogens are sheltered from host immunity by surface polysaccharides that would be ideal as vaccines except that they are too similar to host antigens to be immunogenic. The production of functional IgG is a desirable response to vaccines; because IgG is the only isotype that crosses the placenta, it is of particular importance in maternal vaccines against neonatal disease due to group B Streptococcus (GBS). Clinical studies found a substantially lower proportion of IgG-relative to IgM-among antibodies elicited by conjugates prepared with purified GBS type V capsular polysaccharide (CPS) than among those evoked by CPSs of other GBS serotypes. The epitope specificity of IgG elicited in humans by a conjugate prepared with type V CPS is for chemically desialylated type V CPS (dV CPS). We studied desialylation as a mechanism for enhancing the ability of type V CPS to induce IgM-to-IgG switching. Desialylation did not affect the structural conformation of type V CPS. Rhesus macaques, whose isotype responses to GBS conjugates match those of humans, produced functionally active IgG in response to a dV CPS-tetanus toxoid conjugate (dV-TT), and 98% of neonatal mice born to dams vaccinated with dV-TT survived lethal challenge with viable GBS. Targeted chemical engineering of a carbohydrate to create a molecule less like host self may be a rational approach for improving other glycoconjugates.
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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) | 0.000 | 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".