4.4 Article

Overcoming Allelic Specificity by Immunization with Five Allelic Forms of Plasmodium falciparum Apical Membrane Antigen 1

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INFECTION AND IMMUNITY
卷 81, 期 5, 页码 1491-1501

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AMER SOC MICROBIOLOGY
DOI: 10.1128/IAI.01414-12

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  1. National Institute of Allergy and Infectious Diseases, NIH
  2. PATH Malaria Vaccine Initiative

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Apical membrane antigen 1 (AMA1) is a leading vaccine candidate, but the allelic polymorphism is a stumbling block for vaccine development. We previously showed that a global set of AMA1 haplotypes could be grouped into six genetic populations. Using this information, six recombinant AMA1 proteins representing each population were produced. Rabbits were immunized with either a single recombinant AMA1 protein or mixtures of recombinant AMA1 proteins (mixtures of 4, 5, or 6 AMA1 proteins). Antibody levels were measured by enzyme-linked immunosorbent assay (ELISA), and purified IgG from each rabbit was used for growth inhibition assay (GIA) with 12 different clones of parasites (a total of 108 immunogen-parasite combinations). Levels of antibodies to all six AMA1 proteins were similar when the antibodies were tested against homologous antigens. When the percent inhibitions in GIA were plotted against the number of ELISA units measured with homologous AMA1, all data points followed a sigmoid curve, regardless of the immunogen. In homologous combinations, there were no differences in the percent inhibition between the single-allele and allele mixture groups. However, all allele mixture groups showed significantly higher percent inhibition than the single-allele groups in heterologous combinations. The 5-allele-mixture group showed significantly higher inhibition to heterologous parasites than the 4-allele-mixture group. On the other hand, there was no difference between the 5- and 6-allele-mixture groups. These data indicate that mixtures with a limited number of alleles may cover a majority of the parasite population. In addition, using the data from 72 immunogen-parasite combinations, we mathematically identified 13 amino acid polymorphic sites which significantly impact GIA activities. These results could be a foundation for the rational design of a future AMA1 vaccine.

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