Baseline malaria infection status and RTS,S/AS01E malaria vaccine efficacy
Juraska, M.; Early, A. M.; Li, L.; Schaffner, S. F.; Lievens, M.; Khorgade, A. R.; Simpkins, B.; Hejazi, N.; Benkeser, D. A.; Wang, Q.; Mercer, L. D.; Adjei, S.; Agbenyega, T.; Anderson, S.; Ansong, D.; Bii, D. K.; Buabeng, P. B. Y.; English, S.; Fitzgerald, N.; Grimsby, J.; Kariuki, S. K.; Otieno, K.; Roman, F. P.; Samuels, A. M.; Westercamp, N.; Ockenhouse, C. F.; Ofori-Anyinam, O.; Lee, C. K.; MacInnis, B. L.; Wirth, D. F.; Gilbert, P.; Neafsey, D. E.
10.1101/2023.11.22.23298907 medRxivShow abstract
BackgroundThe only licensed malaria vaccine, RTS,S/AS01E, confers moderate protection against symptomatic disease. Because many malaria infections are asymptomatic, we conducted a large-scale longitudinal parasite genotyping study of samples from a clinical trial exploring how vaccine dosing regimen affects vaccine efficacy (VE). Methods1,500 children aged 5-17 months were randomized to receive four different RTS,S/AS01E regimens or a rabies control vaccine in a phase 2b clinical trial in Ghana and Kenya. We evaluated the time to the first new genotypically detected infection and the total number of new infections during two follow-up periods in over 36K participant specimens. We performed a post hoc analysis of VE based on malaria infection status at first vaccination and force of infection. ResultsWe observed significant and comparable VE (25-43%, 95% CI union 9-53%) against first new infection for all four RTS,S/AS01E regimens across both follow-up periods (12 and 20 months). Each RTS,S/AS01E regimen significantly reduced the number of new infections in the 20-month follow-up period (control mean 4.1 vs. RTS,S/AS01E mean 2.6-3.0). VE against first new infection was significantly higher in participants who were malaria-infected (68%; 95% CI, 50 to 80%) versus uninfected (37%; 95% CI, 23 to 48%) at the first vaccination (P=0.0053) and in participants experiencing greater force of infection between dose 1 and 3 (P=0.059). ConclusionsAll tested dosing regimens blocked some infections to a similar degree. Improved VE in participants infected during vaccination could suggest new strategies for highly efficacious malaria vaccine development and implementation. (ClinicalTrials.gov number, NCT03276962)
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Projected health impact of post-discharge malaria chemoprevention among children with severe malarial anaemia in Africa 95%
- Effect of biannual azithromycin distribution on antibody responses to malaria, bacterial, and protozoan pathogens among children: A cluster-randomized, placebo-controlled trial in Niger 95%
- Genome, proteome, and immunome data explain why 6 month controlled human malaria infection with sporozoites of the Pf7G8 clone of Plasmodium falciparum is a rigorous predictor of the efficacy of the PfNF54-based PfSPZ Vaccine in Africa 94%
Similar papers in this journal
- Safety and efficacy of the blood-stage malaria vaccine RH5.1/Matrix-M in Burkina Faso: interim results of a double-blind, randomised, controlled phase 2b trial in children 94%
- Persistent malaria transmission from asymptomatic children despite highly effective malaria control in eastern Uganda 93%
- Safety and immunogenicity of a SARS-CoV-2 recombinant protein vaccine with AS03 adjuvant in healthy adults: interim findings from a phase 2, randomised, dose-finding, multi-centre study 92%
Similar papers in this journal
- Two-dose SARS-CoV-2 vaccine effectiveness with mixed schedules and extended dosing intervals: test-negative design studies from British Columbia and Quebec, Canada 93%
- BNT162b2 mRNA Vaccine Effectiveness Given Confirmed Exposure; Analysis of Household Members of COVID-19 Patients 92%
- Population immunity to SARS-CoV-2 in US states and counties due to infection and vaccination, January 2020-November 2021 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.