A systems immunology approach to evaluate malaria vaccine performance in endemic regions of Kenya

评估肯尼亚流行地区疟疾疫苗性能的系统免疫学方法

• 批准号: 10347760
• 负责人: ANN M MOORMANN
• 金额: $ 98.77万
• 依托单位: UNIV OF MASSACHUSETTS MED SCH WORCESTER
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-02-01 至 2027-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10347760
• 关键词: 4 year old; Adult; Age; Antibodies; Antimalarials; Area; Biological Assay; Cells; Cellular Immunity; Child; Clinical; Combined Vaccines; Computer Models; Country; Development; Dose; Epigenetic Process; Evaluation; Exposure to; Flow Cytometry; Frequencies; Ghana; Human; Immune; Immune response; Immune system; Immunity; Immunization Programs; Immunoglobulin G; Immunology; In Vitro; Individual; Infection; Kenya; Knowledge; Link; Liver; Longitudinal Studies; Longitudinal cohort study; Machine Learning; Malaria; Malaria Vaccines; Malawi; Measurement; Measures; Modification; Parasites; Performance; Phenotype; Plasmodium falciparum; Prophylactic treatment; Recombinant Proteins; Recommendation; Regimen; Research Design; Schedule; Series; Serology; Sporozoites; System; T-Lymphocyte; Testing; Time; Training; Ursidae Family; Vaccinated; Vaccination; Vaccines; antibody-dependent cell cytotoxicity; base; booster vaccine; burden of illness; circumsporozoite protein; cohort; design; follow-up; functional group; improved; machine learning model; monocyte; next generation; phase III trial; programs; prospective; randomized effectiveness trial; secondary analysis; systemic inflammatory response; tool; transcriptome sequencing; transmission process; vaccination schedule; vaccine development; vaccine efficacy; vaccine failure; vaccine response; volunteer

A highly effective malaria vaccine remains the ultimate tool for malaria control and elimination. The front runner is RTS,S/AS01, a recombinant protein comprising portions of Plasmodium falciparum (Pf) circumsporozoite protein (CSP). However, the observed vaccine efficacy to clinical malaria in children living in malaria endemic settings is only 36%. In order to understand how to improve upon this vaccine, a comprehensive evaluation of baseline and cumulative factors that impede malaria vaccine performance, in direct contrast to factors associated with protection from malaria, is needed. We have recently defined stronger correlates of protection based on functional antibody activity using a systems serology approach. To date, these system serology studies have been conducted only for adults from non-endemic regions. Here, we aim to test the overall hypothesis that children living in malaria endemic areas who have less mature or aberrant immune cells are unable to develop the breadth of functional antibodies and T cells elicited by RTS,S in order to become protected against malaria. Drawing on the WHO Malaria Vaccine Implementation Program in a high- transmission region in Kenya, we will employ an intensive longitudinal cohort study design to follow children during their 4-dose RTS,S vaccination schedule, with active and passive follow-up for Pf infections and episodes of clinical malaria until they reach 4 years of age. Our overall hypothesis will be tested by the following specific aims: SA1: To comprehensively characterize baseline and peri-vaccination factors that correlate with vaccine hyporesponsiveness. Using an integrated systems immunology and machine learning approach, we will determine the effects of ongoing exposures to malaria, systemic inflammation, pre- existing anti-malarial immunity, and immaturity of cellular immune signatures on RTS,S vaccine hypo- responsiveness, defined as the inability to develop a core group of functional anti-CSP antibodies. SA2: To comprehensively characterize the post-vaccination immune signatures in children that correlate with protection from malaria. Using a systems immunology approach, we will determine the function of vaccine- elicited anti-CSP antibodies and their correlation with age, cellular immune signatures, and protection from malaria. Functional in vitro studies will assess antibody opsonization of sporozoites and antibody-dependent cellular cytotoxicity with and without innate immune cells; assess the phenotype and function of vaccine- elicited CSP-specific T cells; and explore the potential for epigenetic modifications of monocytes (trained immunity) to influence vaccine performance. Using a computational modeling/machine learning approach, we will integrate deep immunoprofiling features to predict correlates with protection from malaria. Together, this study aims to inform the next generation of malaria vaccines and vaccination programs that could include immune-modulatory components or recommendations to combine antimalarial prophylaxis/treatment within the vaccine schedule.

高度有效的疟疾疫苗仍然是控制和消除疟疾的最终工具。领跑者