Genotypic infection endpoint analysis to understand efficacy and escape potential of the malaria monoclonal antibody CIS43LS

Early-phase trials of candidate malaria interventions in endemic areas often use "time-to-first" infection as a primary efficacy endpoint. This approach does not assess infection risk after the initial infection, and its censoring of trial participants after their first infection can introduce bias by removing more high-risk participants from control than treatment arms over time. Efficacy estimate precision may also decline as risk set size decreases. Here we assessed the utility of genotyping all infections in an intervention trial to determine the total infection incidence in each participant for the full follow-up period. Specifically, we genotyped all Plasmodium falciparum infections detected in a previously-reported phase 2 trial of the antimalarial monoclonal antibody CIS43LS in 330 Malian adults. We determined the molecular force of infection (molFOI; rate of new P. falciparum strains) for each participant, expressing efficacy as the percent molFOI reduction in CIS43LS versus placebo arms (Eff molFOI ). Six-month Eff molFOI was 86.5% (95% CI: 80.1-90.8) and 70.7% (61.0-78.0) for the 40 mg/kg and 10 mg/kg doses, respectively. These estimates are similar to those from time-to-first infection analysis, but more precise when analyzing efficacy by trial-month and when stratifying by P. falciparum infection-status at enrollment. Participants infected at enrollment had lower Eff molFOI and acquired infections earlier in the trial, creating systematic differences in risk composition between arms over time. Genotyping showed no evidence for escape-polymorphisms in the CIS43LS epitope. These results demonstrate how genotypic endpoints can provide a more comprehensive understanding of candidate malaria interventions.

Authors

Institutions

Publication Details

Journal
medRxiv
Published
2026-11-06
DOI
https://doi.org/10.64898/2026.11.04.26367264
Primary Topic
Malaria Research and Control
Type
preprint

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Genotypic infection endpoint analysis to understand efficacy and escape potential of the malaria monoclonal antibody CIS43LS

Mary Peterson, Didier Doumtabé, Viviane Callier, Jorge Edouardo Amaya-Romero et al.
2 links
medRxiv
Malaria Research and Control
preprint

Genotypic infection endpoint analysis to understand efficacy and escape potential of the malaria monoclonal antibody CIS43LS

Mary Peterson, Didier Doumtabé, Viviane Callier, Jorge Edouardo Amaya-Romero, Kassoum Kayentao, Aïssata Ongoïba, Boubacar Traoré, Peter D. Crompton, Safiatou Doumbo, Sean C. Murphy, Robert A. Seder, Daniel E. Neafsey, Amadou Niangaly, Philipp Schwabl, Gail E. Potter, Anne C Preston, Tuan M. Tran, Margaret A. Laws, Jeff Skinner, William Nickols, Katrina K Kelley, Shanping Li, Allyson Mateja
preprint en

Abstract

Early-phase trials of candidate malaria interventions in endemic areas often use "time-to-first" infection as a primary efficacy endpoint. This approach does not assess infection risk after the initial infection, and its censoring of trial participants after their first infection can introduce bias by removing more high-risk participants from control than treatment arms over time. Efficacy estimate precision may also decline as risk set size decreases. Here we assessed the utility of genotyping all infections in an intervention trial to determine the total infection incidence in each participant for the full follow-up period. Specifically, we genotyped all Plasmodium falciparum infections detected in a previously-reported phase 2 trial of the antimalarial monoclonal antibody CIS43LS in 330 Malian adults. We determined the molecular force of infection (molFOI; rate of new P. falciparum strains) for each participant, expressing efficacy as the percent molFOI reduction in CIS43LS versus placebo arms (Eff molFOI ). Six-month Eff molFOI was 86.5% (95% CI: 80.1-90.8) and 70.7% (61.0-78.0) for the 40 mg/kg and 10 mg/kg doses, respectively. These estimates are similar to those from time-to-first infection analysis, but more precise when analyzing efficacy by trial-month and when stratifying by P. falciparum infection-status at enrollment. Participants infected at enrollment had lower Eff molFOI and acquired infections earlier in the trial, creating systematic differences in risk composition between arms over time. Genotyping showed no evidence for escape-polymorphisms in the CIS43LS epitope. These results demonstrate how genotypic endpoints can provide a more comprehensive understanding of candidate malaria interventions.

medRxiv
National Institutes of Health (US), Harvard University (US), University of Washington (US), Université des Sciences, des Techniques et des Technologies de Bamako (ML), Frederick National Laboratory for Cancer Research (US), National Institute of Allergy and Infectious Diseases (US), Indiana University School of Medicine (US), Malaria Research and Training Center (ML), Vaccine Research Center (US)
U.S. Department of Health and Human Services, Bill and Melinda Gates Foundation, National Institutes of Health, National Cancer Institute, National Institute of General Medical Sciences
Good health and well-being
Malaria Research and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon