Identification of RTS,S/AS01 vaccine–induced humoral biomarkers predictive of protection against controlled human malaria infection

BACKGROUNDThe mechanism(s) responsible for the efficacy of WHO-recommended malaria vaccine RTS,S/AS01 are not completely understood. We previously identified RTS,S vaccine-induced Plasmodium falciparum circumsporozoite protein-specific (PfCSP-specific) antibody measures associated with protection from controlled human malaria infection (CHMI). Here, we tested the protection-predicting capability of these measures in independent CHMI studies.METHODSVaccine-induced total serum antibody (immunoglobulins, Igs) and subclass antibody (IgG1 and IgG3) responses were measured by biolayer interferometry and the binding antibody multiplex assay, respectively. Immune responses were compared between protected and nonprotected vaccinees using univariate and multivariate logistic regression.RESULTSBlinded prediction analysis showed that 5 antibody binding measures, including magnitude-avidity composite of serum Ig specific for PfCSP, major NANP repeats and N-terminal junction, and PfCSP- and NANP-specific IgG1 subclass magnitude, had good prediction accuracy (area under the receiver operating characteristic curves [ROC AUC] > 0.7) in at least 1 trial. Furthermore, univariate analysis showed a significant association between these antibody measures and protection (odds ratios 2.6-3.1). Multivariate modeling of combined data from 3 RTS,S CHMI trials identified the combination of IgG1 NANP binding magnitude plus serum NANP and N-junction Ig binding magnitude-avidity composite as the best predictor of protection (95% confidence interval for ROC AUC 0.693-0.834).CONCLUSIONThese results reinforce our previous findings and provide a tool for predicting protection in future trials.TRIAL REGISTRATIONClinicalTrials.gov NCT03162614, NCT03824236, NCT01366534, and NCT01857869.FUNDINGThis study was supported by Bill & Melinda Gates Foundation's Global Health-Discovery Collaboratory grants (INV-008612 and INV-043419) to GDT.

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Publication Details

Journal
JCI Insight
Published
2024-10-07
DOI
https://doi.org/10.1172/jci.insight.178801
Citations
5
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
2.71

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article

Identification of RTS,S/AS01 vaccine–induced humoral biomarkers predictive of protection against controlled human malaria infection

Kelly E. Seaton, Sheetij Dutta, Sarah V. Mudrak, Erik Jongert et al.
5 citations
JCI Insight
Mosquito-borne diseases and control
2.71
article

Identification of RTS,S/AS01 vaccine–induced humoral biomarkers predictive of protection against controlled human malaria infection

Kelly E. Seaton, Sheetij Dutta, Sarah V. Mudrak, Erik Jongert, Laina D. Mercer, Elizabeth Feeney, Lu Zhang, C. Richter King, Georgia D. Tomaras, Neville K. Kisalu, Rachel L. Spreng, Gillian Q. Horn, Scott Gregory, Valerie Bekker, Ulrike Wille-Reece, Sir’Tauria Hilliard, Milite Abraha, Lin Lin, Kan Li, Aaron Deal, Alexander J Carnacchi, Siam Shabbir, S. Moses Dennison
article en
5 citations

Abstract

BACKGROUNDThe mechanism(s) responsible for the efficacy of WHO-recommended malaria vaccine RTS,S/AS01 are not completely understood. We previously identified RTS,S vaccine-induced Plasmodium falciparum circumsporozoite protein-specific (PfCSP-specific) antibody measures associated with protection from controlled human malaria infection (CHMI). Here, we tested the protection-predicting capability of these measures in independent CHMI studies.METHODSVaccine-induced total serum antibody (immunoglobulins, Igs) and subclass antibody (IgG1 and IgG3) responses were measured by biolayer interferometry and the binding antibody multiplex assay, respectively. Immune responses were compared between protected and nonprotected vaccinees using univariate and multivariate logistic regression.RESULTSBlinded prediction analysis showed that 5 antibody binding measures, including magnitude-avidity composite of serum Ig specific for PfCSP, major NANP repeats and N-terminal junction, and PfCSP- and NANP-specific IgG1 subclass magnitude, had good prediction accuracy (area under the receiver operating characteristic curves [ROC AUC] > 0.7) in at least 1 trial. Furthermore, univariate analysis showed a significant association between these antibody measures and protection (odds ratios 2.6-3.1). Multivariate modeling of combined data from 3 RTS,S CHMI trials identified the combination of IgG1 NANP binding magnitude plus serum NANP and N-junction Ig binding magnitude-avidity composite as the best predictor of protection (95% confidence interval for ROC AUC 0.693-0.834).CONCLUSIONThese results reinforce our previous findings and provide a tool for predicting protection in future trials.TRIAL REGISTRATIONClinicalTrials.gov NCT03162614, NCT03824236, NCT01366534, and NCT01857869.FUNDINGThis study was supported by Bill & Melinda Gates Foundation's Global Health-Discovery Collaboratory grants (INV-008612 and INV-043419) to GDT.

JCI InsightVol. 9(19)
Program for Appropriate Technology in Health (US), International Vaccine Institute (KR), Duke University (US), GlaxoSmithKline (Belgium) (BE), Integrative Medicine Institute (US), Laboratoire d’immunologie intégrative du cancer (FR), Walter Reed Army Institute of Research (US)
Bill and Melinda Gates Foundation, Walter Reed Army Institute of Research
Good health and well-being
Openalex Percentile: Top 9%
Mosquito-borne diseases and control
2.71
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