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Immunoprofiling Identifies Functional B and T Cell Subsets Induced by an Attenuated Whole Parasite Malaria Vaccine as Correlates of Sterile Immunity.
Mura, Marie; Lu, Pinyi; Atre, Tanmaya; Bolton, Jessica S; Duncan, Elizabeth H; Chaudhury, Sidhartha; Bergmann-Leitner, Elke S.
Affiliation
  • Mura M; Biologics Research and Development, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.
  • Lu P; Immunopathology, Institut de Recherche Biomédicale des Armées, 91223 CEDEX, BP73 Brétigny-sur-Orge, France.
  • Atre T; Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Fort Detrick, MD 21702, USA.
  • Bolton JS; Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20817, USA.
  • Duncan EH; Biologics Research and Development, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.
  • Chaudhury S; Michael Cuccione Childhood Cancer Research Program, BC Children's Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada.
  • Bergmann-Leitner ES; Biologics Research and Development, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.
Vaccines (Basel) ; 10(1)2022 Jan 14.
Article in En | MEDLINE | ID: mdl-35062785
ABSTRACT
Immune correlates of protection remain elusive for most vaccines. An identified immune correlate would accelerate the down-selection of vaccine formulations by reducing the need for human pathogen challenge studies that are currently required to determine vaccine efficacy. Immunization via mosquito-delivered, radiation-attenuated P. falciparum sporozoites (IMRAS) is a well-established model for efficacious malaria vaccines, inducing greater than 90% sterile immunity. The current immunoprofiling study utilized samples from a clinical trial in which vaccine dosing was adjusted to achieve only 50% protection, thus enabling a comparison between protective and non-protective immune signatures. In-depth immunoprofiling was conducted by assessing a wide range of antigen-specific serological and cellular parameters and applying our newly developed computational tools, including machine learning. The computational component of the study pinpointed previously un-identified cellular T cell subsets (namely, TNFα-secreting CD8+CXCR3-CCR6- T cells, IFNγ-secreting CD8+CCR6+ T cells and TNFα/FNγ-secreting CD4+CXCR3-CCR6- T cells) and B cell subsets (i.e., CD19+CD24hiCD38hiCD69+ transitional B cells) as important factors predictive of protection (92% accuracy). Our study emphasizes the need for in-depth immunoprofiling and subsequent data integration with computational tools to identify immune correlates of protection. The described process of computational data analysis is applicable to other disease and vaccine models.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Vaccines (Basel) Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Vaccines (Basel) Year: 2022 Type: Article Affiliation country: United States