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Limited antigenic diversity of Plasmodium falciparumapical membrane antigen 1 supports the development of effective multi-allele vaccines

Overview of attention for article published in BMC Medicine, October 2014
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Title
Limited antigenic diversity of Plasmodium falciparumapical membrane antigen 1 supports the development of effective multi-allele vaccines
Published in
BMC Medicine, October 2014
DOI 10.1186/s12916-014-0183-5
Pubmed ID
Authors

Ulrich Terheggen, Damien R Drew, Anthony N Hodder, Nadia J Cross, Cleopatra K Mugyenyi, Alyssa E Barry, Robin F Anders, Sheetij Dutta, Faith HA Osier, Salenna R Elliott, Nicolas Senn, Danielle I Stanisic, Kevin Marsh, Peter M Siba, Ivo Mueller, Jack S Richards, James G Beeson

Abstract

BackgroundPolymorphism in antigens is a common mechanism for immune evasion used by many important pathogens, and presents major challenges in vaccine development. In malaria, many key immune targets and vaccine candidates show substantial polymorphism. However, knowledge on antigenic diversity of key antigens, the impact of polymorphism on potential vaccine escape, and how sequence polymorphism relates to antigenic differences is very limited, yet crucial for vaccine development. Plasmodium falciparum apical membrane antigen 1 (AMA1) is an important target of naturally-acquired antibodies in malaria immunity and a leading vaccine candidate. However, AMA1 has extensive allelic diversity with more than 60 polymorphic amino acid residues and more than 200 haplotypes in a single population. Therefore, AMA1 serves as an excellent model to assess antigenic diversity in malaria vaccine antigens and the feasibility of multi-allele vaccine approaches. While most previous research has focused on sequence diversity and antibody responses in laboratory animals, little has been done on the cross-reactivity of human antibodies.MethodsWe aimed to determine the extent of antigenic diversity of AMA1, defined by reactivity with human antibodies, and to aid the identification of specific alleles for potential inclusion in a multi-allele vaccine. We developed an approach using a multiple-antigen-competition enzyme-linked immunosorbent assay (ELISA) to examine cross-reactivity of naturally-acquired antibodies in Papua New Guinea and Kenya, and related this to differences in AMA1 sequence.ResultsWe found that adults had greater cross-reactivity of antibodies than children, although the patterns of cross-reactivity to alleles were the same. Patterns of antibody cross-reactivity were very similar between populations (Papua New Guinea and Kenya), and over time. Further, our results show that antigenic diversity of AMA1 alleles is surprisingly restricted, despite extensive sequence polymorphism. Our findings suggest that a combination of three different alleles, if selected appropriately, may be sufficient to cover the majority of antigenic diversity in polymorphic AMA1 antigens. Antigenic properties were not strongly related to existing haplotype groupings based on sequence analysis.ConclusionsAntigenic diversity of AMA1 is limited and a vaccine including a small number of alleles might be sufficient for coverage against naturally-circulating strains, supporting a multi-allele approach for developing polymorphic antigens as malaria vaccines.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
Portugal 1 1%
Unknown 76 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 23%
Researcher 13 17%
Student > Ph. D. Student 11 14%
Student > Doctoral Student 4 5%
Student > Bachelor 4 5%
Other 15 19%
Unknown 13 17%
Readers by discipline Count As %
Medicine and Dentistry 16 21%
Biochemistry, Genetics and Molecular Biology 13 17%
Agricultural and Biological Sciences 12 15%
Immunology and Microbiology 7 9%
Nursing and Health Professions 3 4%
Other 10 13%
Unknown 17 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 October 2014.
All research outputs
#20,239,689
of 22,766,595 outputs
Outputs from BMC Medicine
#3,311
of 3,413 outputs
Outputs of similar age
#213,485
of 255,780 outputs
Outputs of similar age from BMC Medicine
#84
of 85 outputs
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