Genetic variations of Plasmodium falciparum circumsporozoite protein and the impact on interactions with human immunoproteins and malaria vaccine efficacy.


Journal

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
ISSN: 1567-7257
Titre abrégé: Infect Genet Evol
Pays: Netherlands
ID NLM: 101084138

Informations de publication

Date de publication:
06 2023
Historique:
received: 03 01 2023
revised: 17 02 2023
accepted: 20 02 2023
medline: 4 4 2023
pubmed: 26 2 2023
entrez: 25 2 2023
Statut: ppublish

Résumé

In October 2021, the world's first malaria vaccine RTS,S was endorsed by WHO for broad use in children, despite its low efficacy. This study examined polyclonal infections and the associations of parasite genetic variations with binding affinity to human leukocyte antigen (HLA). Multiplicity of infection was determined by amplicon deep sequencing of PfMSP1. Genetic variations in PfCSP were examined across 88 samples from Ghana and analyzed together with 1655 PfCSP sequences from other African and non-African isolates. Binding interactions of PfCSP peptide variants and HLA were predicted using NetChop and HADDOCK. High polyclonality was detected among infections, with each infection harboring multiple non-3D7 PfCSP variants. Twenty-seven PfCSP haplotypes were detected in the Ghanaian samples, and they broadly represented PfCSP diversity across Africa. The number of genetic differences between 3D7 and non-3D7 PfCSP variants does not influence binding to HLA. However, CSP peptide length after proteolytic degradation significantly affects its molecular weight and binding affinity to HLA. Despite the high diversity of HLA, the majority of the HLAI and II alleles interacted/bound with all Ghana CSP peptides. Multiple non-3D7 strains among P. falciparum infections could impact the effectiveness of RTS,S. Longer peptides of the Th2R/Th3R CSP regions should be considered in future versions of RTS,S.

Identifiants

pubmed: 36841398
pii: S1567-1348(23)00016-3
doi: 10.1016/j.meegid.2023.105418
pii:
doi:

Substances chimiques

Malaria Vaccines 0
Protozoan Proteins 0
Immunoproteins 0
Histocompatibility Antigens Class II 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

105418

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no conflict of interest.

Auteurs

Cheikh Cambel Dieng (CC)

Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA. Electronic address: cdieng@uncc.edu.

Colby T Ford (CT)

Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA; School of Data Science, University of North Carolina at Charlotte, Charlotte, NC, USA. Electronic address: colby.ford@uncc.edu.

Anita Lerch (A)

Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.

Dickson Doniou (D)

Department of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.

Kovidh Vegesna (K)

Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA.

Daniel Janies (D)

Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA.

Liwang Cui (L)

Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.

Linda Amoah (L)

Department of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana; West Africa Center for Cell Biology of Infectious Pathogens, University of Ghana, Accra, Ghana.

Yaw Afrane (Y)

Department of Microbiology, University of Ghana Medical School, University of Ghana, Accra, Ghana.

Eugenia Lo (E)

Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA; School of Data Science, University of North Carolina at Charlotte, Charlotte, NC, USA. Electronic address: eugenia.lo@uncc.edu.

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Classifications MeSH