Evaluation of immune responses to Tdap booster during pregnancy in women who received whole cell or acellular pertussis vaccines during childhood
Bibliographic record
Abstract
), results in severe morbidity and mortality in infants. Since 2012, the tetanus, diphtheria and pertussis (Tdap) booster vaccine is recommended during every pregnancy to protect infants who are too young to be immunized. While infants of whole cell pertussis vaccine (wPV)-primed pregnant individuals are well protected from severe disease, the effectiveness of this strategy has not been assessed in acellular pertussis vaccine (aPV)-primed pregnant women. Our primary objective was to compare the cellular and humoral immune responses following Tdap booster in pregnant participants who received the wPV or aPV as infants. As a secondary objective we compared responses of pregnant women to wPV- and aPV-primed non-pregnant controls. All pertussis and non-pertussis specific serum antibody levels increased post-Tdap booster in aPV- and wPV-primed groups. Antibody avidity was higher in wPV-primed pregnant participants compared to aPV-primed pregnant women before and after Tdap booster. In contrast, antibody opsonic activity remained unchanged in either priming group. Antibody secreting cells specific for all pertussis and non-pertussis antigens increased following booster immunization. Expression of early T cell activation markers OX-40, PD-L1 and CD25 and cytokines IFNγ, IL-17 and IL-4 showed that T cell function was unaffected by Tdap booster and maintained the phenotypes elicited by the childhood priming vaccine. Secondary analysis showed that antibody and T cell responses to Tdap booster were higher in nonpregnant control participants compared to pregnant women, suggesting that responses to Tdap booster were blunted in pregnancy.
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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".