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Candidate antigenic epitopes for vaccination and diagnosis strategies of Toxoplasma gondii infection: A review.

Authors :
Javadi Mamaghani A
Fathollahi A
Spotin A
Ranjbar MM
Barati M
Aghamolaie S
Karimi M
Taghipour N
Ashrafi M
Tabaei SJS
Source :
Microbial pathogenesis [Microb Pathog] 2019 Dec; Vol. 137, pp. 103788. Date of Electronic Publication: 2019 Oct 09.
Publication Year :
2019

Abstract

Toxoplasmosis caused by an obligatory intracellular protozoan parasite of Toxoplasma gondii threats a wide spectrum of human and animal hosts. It has been shown that the intensity of the disease in humans depends on the host's immune responses. Immunological investigations on whole protein molecules of T. gondii have shown that these antigens are not fully responsible for the immune response, which leads to a decrease in specificity and affinity of the antigen (epitope)-antibody (paratope) binding. Currently, epitopes have shown promising entities to stimulate B, T, cytotoxic T lymphocyte, and NK cells resulting in enhancement of protective immunity against toxoplasmosis patients. Thus, the accurate designing, prediction, and conducting of antigenic epitopes of T. gondii (with linear and/or spatial structures (can augment our understanding about development of new serological diagnostic kits and vaccines. The current review provides an update on the latest advances of current epitopes described against toxoplasmosis including B cell/T cell epitopes, antigen types, parasite strains, epitope sequences, assay settings (in vitro and/or in vivo), and target strategy. Present results disclosed that the designing of effective multiepitopes of T. gondii by in silico modeling and immunoinformatics tools can strengthen our knowledge about triggering of epitope-based vaccine/diagnosis strategies in future perspectives.<br /> (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1096-1208
Volume :
137
Database :
MEDLINE
Journal :
Microbial pathogenesis
Publication Type :
Academic Journal
Accession number :
31605758
Full Text :
https://doi.org/10.1016/j.micpath.2019.103788