Immunogenicity and immune modulatory effects of in silico predicted L. donovani candidate peptide vaccines

计算机预测的利什曼原虫候选肽疫苗的免疫原性和免疫调节作用

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Abstract

Visceral leishmaniasis (VL) is a serious parasitic disease for which control measures are limited and drug resistance is increasing. First and second generation vaccine candidates have not been successful. The goal of the present study was to select possibly immunogenic L. donovani donovani GP63 peptides using immunoinformatics tools and to test their immunogenicity in vitro. The amino acid sequence of L. donovani donovani GP63 [GenBank accession: ACT31401] was screened using the EpiMatrix algorithm for putative T cell epitopes that would bind to the most common HLA class II alleles (DRB1*1101 and DRB1*0804) among at-risk populations. Four T cell epitopes were selected from nine potential candidates. Stimulation of whole blood from healthy volunteers using the peptides separately produced mean IFN-γ and IL-4 levels that were not significantly different from negative controls, while the pooled peptides produced a moderate IFN-γ increase in some volunteers. However, mean IL-10 levels were significantly reduced for all individuals compared with controls. The immunogenicity of these epitopes may be harnessed most effectively in a vaccine delivered in combination with immune-modulating adjuvants.

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