Identification of RTS,S/AS01 vaccine–induced humoral biomarkers predictive of protection against controlled human malaria infection
Rachel L. Spreng, Kelly E. Seaton, Lin Lin, Sir’Tauria Hilliard, Gillian Q. Horn, Milite Abraha, Aaron W. Deal, Kan Li, Alexander J. Carnacchi, Elizabeth Feeney, Siam Shabbir, Lu Zhang, Valerie Bekker, Sarah V. Mudrak, Sheetij Dutta, Laina D. Mercer, Scott Gregory, C. Richter King, Ulrike Wille-Reece, Erik Jongert, Neville K. Kisalu, Georgia D. Tomaras, S. Moses Dennison
Rachel L. Spreng, Kelly E. Seaton, Lin Lin, Sir’Tauria Hilliard, Gillian Q. Horn, Milite Abraha, Aaron W. Deal, Kan Li, Alexander J. Carnacchi, Elizabeth Feeney, Siam Shabbir, Lu Zhang, Valerie Bekker, Sarah V. Mudrak, Sheetij Dutta, Laina D. Mercer, Scott Gregory, C. Richter King, Ulrike Wille-Reece, Erik Jongert, Neville K. Kisalu, Georgia D. Tomaras, S. Moses Dennison
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Clinical Research and Public Health Immunology Vaccines

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

Abstract

BACKGROUND The 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.METHODS Vaccine-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.RESULTS Blinded 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).CONCLUSION These results reinforce our previous findings and provide a tool for predicting protection in future trials.TRIAL REGISTRATION ClinicalTrials.gov NCT03162614, NCT03824236, NCT01366534, and NCT01857869.FUNDING This study was supported by Bill & Melinda Gates Foundation’s Global Health-Discovery Collaboratory grants (INV-008612 and INV-043419) to GDT.

Authors

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

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Figure 4

Serum Ig, IgG1 CSP, and NANP6 measurements associate with protection status in MAL092.

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Serum Ig, IgG1 CSP, and NANP6 measurements associate with protection sta...
Antibody measurements at DoC in the MAL092 study that have statistically significant associations with protection status based on regimen-adjusted logistic regression models fit independently to each immune measurement are shown. CSP (A), NANP6 (B), and N Interface (C) AUCdiss, and IgG1 CSP (D) and NANP6 (E) 334-hIgG1 equivalent concentrations are compared for protected and nonprotected vaccinees (labeled as P and NP, respectively). Raw and FDR-corrected (Benjamini-Hochberg) P values shown from regimen-adjusted logistic regression models fit independently to each immune measurement. n = 94 (53 protected and 41 nonprotected). The lower and upper hinges of the box-and-whisker plots correspond to the 25th and 75th percentiles, with a line at the median. The lower and upper whisker extends from the box hinges to the smallest and largest values, respectively, which are within 1.5 × IQR of the hinge (where the IQR is equal to the distance between the 25th and 75th percentiles).