Immunoinformatics approach for multi-epitope vaccine design against P. falciparum malaria.

Autor: Maharaj L; Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Westville, South Africa., Adeleke VT; Discipline of Chemical Engineering, University of KwaZulu-Natal, Howard Campus, Durban 4041, South Africa., Fatoba AJ; Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Westville, South Africa., Adeniyi AA; Department of Chemistry, Faculty of Natural and Agricultural Sciences, University of the Free State, Bloemfontein, South Africa; Department of Industrial Chemistry, Federal University Oye Ekiti, Nigeria., Tshilwane SI; School of Life Sciences, University of KwaZulu-Natal, Westville, South Africa., Adeleke MA; Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Westville, South Africa., Maharaj R; Office of Malaria Research, Medical Research Council, South Africa., Okpeku M; Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Westville, South Africa. Electronic address: okpekum@ukzn.ac.za.
Jazyk: angličtina
Zdroj: Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases [Infect Genet Evol] 2021 Aug; Vol. 92, pp. 104875. Date of Electronic Publication: 2021 Apr 24.
DOI: 10.1016/j.meegid.2021.104875
Abstrakt: Plasmodium falciparum (P. falciparum) is a leading causative agent of malaria, an infectious disease that can be fatal. Unfortunately, control measures are becoming less effective over time. A vaccine is needed to effectively control malaria and lead towards the total elimination of the disease. There have been multiple attempts to develop a vaccine, but to date, none have been certified as appropriate for wide-scale use. In this study, an immunoinformatics method is presented to design a multi-epitope vaccine construct predicted to be effective against P. falciparum malaria. This was done through the prediction of 12 CD4+ T-cell, 10 CD8+ T-cell epitopes and, 1 B-cell epitope which were assessed for predicted high antigenicity, immunogenicity, and non-allergenicity through in silico methods. The Human Leukocyte Antigen (HLA) population coverage showed that the alleles associated with the epitopes accounted for 78.48% of the global population. The CD4+ and CD8+ T-cell epitopes were docked to HLA-DRB1*07:01 and HLA-A*32:01 successfully. Therefore, the epitopes were deemed to be suitable as components of a multi-epitope vaccine construct. Adjuvant RS09 was added to the construct to generate a stronger immune response, as confirmed by an immune system simulation. Finally, the structural stability of the predicted multi-epitope vaccine was assessed using molecular dynamics simulations. The results show a promising vaccine design that should be further synthesised and assessed for its efficacy in an experimental laboratory setting.
(Copyright © 2021 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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