鉴定 RTS,S/AS01 疫苗诱导的体液生物标志物,预测受控人类疟疾感染的保护作用。

IF 6.3 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
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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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). 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引用次数: 0

摘要

背景世界卫生组织推荐的疟疾疫苗RTS,S/AS01的药效机制尚未完全明了。我们曾发现 RTS,S 疫苗诱导的恶性疟原虫圆孢子虫蛋白特异性(PfCSP-specific)抗体与人类疟疾控制感染(CHMI)保护相关。方法疫苗诱导的血清总抗体(免疫球蛋白,Igs)和亚类抗体(IgG1 和 IgG3)反应分别通过生物层干涉测量法和结合抗体多重测定法进行测量。结果盲预测分析表明,在至少一项试验中,5种抗体结合度量,包括针对PfCSP、主要NANP重复序列和N端连接的血清特异性Ig的大小-活力复合值,以及PfCSP和NANP特异性IgG1亚类的大小,具有良好的预测准确性(接收器操作特征曲线下面积 [ROC AUC] > 0.7)。此外,单变量分析表明,这些抗体指标与保护之间存在显著关联(几率比 2.6-3.1)。对 3 项 RTS,S CHMI 试验的综合数据进行多变量建模后发现,IgG1 NANP 结合力大小加上血清 NANP 和 N 结 Ig 结合力大小-湿度复合值是预测保护作用的最佳指标(ROC AUC 的 95% 置信区间为 0.693-0.834)。结论这些结果加强了我们之前的研究结果,并为在未来的试验中预测保护提供了一种工具。试验注册ClinicalTrials.gov NCT03162614、NCT03824236、NCT01366534 和 NCT01857869.FUNDING 本研究得到了比尔及梅琳达-盖茨基金会全球健康发现合作基金(INV-008612 和 INV-043419)对 GDT 的资助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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来源期刊
JCI insight
JCI insight Medicine-General Medicine
CiteScore
13.70
自引率
1.20%
发文量
543
审稿时长
6 weeks
期刊介绍: JCI Insight is a Gold Open Access journal with a 2022 Impact Factor of 8.0. It publishes high-quality studies in various biomedical specialties, such as autoimmunity, gastroenterology, immunology, metabolism, nephrology, neuroscience, oncology, pulmonology, and vascular biology. The journal focuses on clinically relevant basic and translational research that contributes to the understanding of disease biology and treatment. JCI Insight is self-published by the American Society for Clinical Investigation (ASCI), a nonprofit honor organization of physician-scientists founded in 1908, and it helps fulfill the ASCI's mission to advance medical science through the publication of clinically relevant research reports.
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