Priming or Boosting <i>Plasmodium falciparum</i> Transmission-Blocking Responses With Recombinant Vaccines or Gametocyte Extract
Bibliographic record
Abstract
Plasmodium falciparum infection can induce antibody responses to the parasitic, gametocyte-expressed antigens Pfs48/45 and Pfs230. Retrospective analysis of healthy individuals from malaria-endemic Mali showed increasing prevalence of antibodies to these antigens from infancy to age 17 years, an expected response to malaria exposure. This supports examining the immune interplay between gametocyte exposure and vaccination with these antigens as transmission-blocking vaccine (TBV) candidates. Recombinant Pfs48/45 and Pfs230 were formulated with a liposome-display vaccine adjuvant system. In mice primed with either antigen, subsequent gametocyte extract (GE) exposure significantly boosted antibody responses. Dose-dependent GE exposure induced transmission-reducing activity (TRA) in Pfs48/45-primed mice but not in naive controls. Conversely, GE-primed mice exhibited enhanced TRA after Pfs48/45 vaccination. These findings demonstrate bidirectional immune priming and highlight the potential for TBVs to elicit stronger TRA responses upon subsequent natural malaria exposure and/or in endemic areas in individuals with preexisting antibodies to TBV antigens.
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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".