(2022) Engineering a multi-epitope vaccine candidate against Leishmania infantum using comprehensive Immunoinformatics methods. Biologia. pp. 277-289. ISSN 0006-3088
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Abstract
Visceral leishmaniasis (VL) is a severe disease with particular endemicity in over 80 countries worldwide. There is no approved human vaccine against VL in the market. This study was aimed at designing and evaluation of a multimeric vaccine candidate against Leishmania infantum through utilization of helper T lymphocyte (HTL) and cytotoxic T lymphocyte (CTL) immunodominant proteins from histone H1, KMP11, LACK and LeIF antigens. Top-ranked mouse MHC-I, MHC-II binders and CTL epitopes were predicted and joined together via spacers. Also, a TLR-4 agonist (RS-09 synthetic protein) and His-tag were added to the N- and C-terminal of the vaccine sequence, respectively. The final chimeric vaccine had a length of 184 amino acids with a molecular weight of 18.99 kDa. Physico-chemical features showed a soluble, highly-antigenic and non-allergenic candidate. Secondary and tertiary structures were predicted, and subsequent analyses confirmed the construct stability that was capable to properly interact with TLR-4/MD2 receptor. Immunoinformatics simulation displayed potent stimulation of T cell immune responses, with particular rise in IFN-gamma, upon vaccination with the proposed multi-epitope candidate. In conclusion, immunoinformatics data demonstrated a highly antigenic vaccine candidate in mouse, which could develop considerable levels clearance mechanisms and other components of cellular immune profile, and can be directed for VL prophylactic purposes.
Item Type: | Article | ||||||||||||||||
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Keywords: | Chimeric vaccine Immunoinformatics Leishmania infantum kinetoplastid membrane protein-11 innate immunity prediction recognition antigenicity stability database web Life Sciences & Biomedicine - Other Topics | ||||||||||||||||
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Page Range: | pp. 277-289 | ||||||||||||||||
Journal or Publication Title: | Biologia | ||||||||||||||||
Journal Index: | ISI | ||||||||||||||||
Volume: | 77 | ||||||||||||||||
Number: | 1 | ||||||||||||||||
Identification Number: | https://doi.org/10.1007/s11756-021-00934-3 | ||||||||||||||||
ISSN: | 0006-3088 | ||||||||||||||||
Depositing User: | مهندس مهدی شریفی | ||||||||||||||||
URI: | http://eprints.medilam.ac.ir/id/eprint/4434 |
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