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

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

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Journal Pre-proof Candidate antigenic epitopes for vaccination and diagnosis strategies of Toxoplasma gondii infection: A review Amirreza Javadi Mamaghani, Anwar Fathollahi, Adel Spotin, Mohammad mehdi Ranjbar, Meisam Barati, Somayeh Aghamolaie, Maryam Karimi, Niloofar Taghipour, Mohammad Ashrafi, Seyyed Javad Seyyed Tabaei PII:

S0882-4010(19)31266-5

DOI:

https://doi.org/10.1016/j.micpath.2019.103788

Reference:

YMPAT 103788

To appear in:

Microbial Pathogenesis

Received Date: 15 July 2019 Revised Date:

5 September 2019

Accepted Date: 8 October 2019

Please cite this article as: Javadi Mamaghani A, Fathollahi A, Spotin A, Ranjbar Mm, Barati M, Aghamolaie S, Karimi M, Taghipour N, Ashrafi M, Tabaei SJS, Candidate antigenic epitopes for vaccination and diagnosis strategies of Toxoplasma gondii infection: A review, Microbial Pathogenesis (2019), doi: https://doi.org/10.1016/j.micpath.2019.103788. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2019 Published by Elsevier Ltd.

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Candidate antigenic epitopes for vaccination and diagnosis strategies of

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Toxoplasma gondii infection: A review

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Amirreza Javadi Mamaghani 1, Anwar Fathollahi2, Adel Spotin3,4, Mohammad mehdi

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Ranjbar5 , Meisam Barati6, Somayeh Aghamolaie1, Maryam Karimi7, Niloofar Taghipour1,

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Mohammad Ashrafi8, Seyyed Javad Seyyed Tabaei 1* 1

6

Department of Parasitology and Mycology, School of Medicine, Student Research Committee,

7 8

Shahid Beheshti University of Medical Sciences, Tehran, Iran. 2

Medical Biology Research Center, Health Technology Institute, Kermanshah University of Medical,

9 10

Kermanshah, Iran. 3

Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. 4

11 5

12

Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran

Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension

13 14

Organization (AREEO), Karaj, Iran 6

Department of Cellular and Molecular Nutrition, Shahid Beheshti University of Medical Sciences,

15 16 17

Tehran, Iran. 7

Cellular and Molecular Research Center Kurdistan University of Medical Science, Sanandaj, Iran 8

Faculty of Medicine, Islamic Azad University, Qom, Qom, Iran.

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Corresponding author:

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Seyyed Javad Seyyed Tabaei; Department of Parasitology and Mycology, Shahid Beheshti University of

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Medical Sciences, Tehran, Iran. Fax: +98 21 22439962.; Email: [email protected] ,

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[email protected]

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Abstract

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Toxoplasmosis caused by an obligatory intracellular protozoan parasite of Toxoplasma gondii

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threats a wide spectrum of human and animal hosts. It has been shown that the intensity of

31

the disease in humans depends on the host's immune responses. Immunological investigations

32

on whole protein molecules of T. gondii have shown that these antigens are not fully

33

responsible for the immune response, which leads to a decrease in specificity and affinity of

34

the antigen (epitope)-antibody (paratope) binding. Currently, epitopes have shown promising

35

entities to stimulate B, T, cytotoxic T lymphocyte, and NK cells resulting in enhancement of

36

protective immunity against toxoplasmosis patients. Thus, the accurate designing, prediction,

37

and conducting of antigenic epitopes of T. gondii (with linear and/or spatial structures) can

38

augment our understanding about development of new serological diagnostic kits and

39

vaccines. The current review provides an update on the latest advances of current epitopes

40

described against toxoplasmosis including B cell/T cell epitopes, antigen types, parasite

41

strains, epitope sequences, assay settings (in vitro and/or in vivo), and target strategy. Present

42

results disclosed that the designing of effective multiepitopes of T. gondii by in silico

43

modeling and immunoinformatics tools can strengthen our knowledge about triggering of

44

epitope-based vaccine/diagnosis strategies in future perspectives.

45

Key words: Toxoplasma gondii, Candidate antigenic epitopes, T-cell/B-cell epitope-based

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vaccine, T-cell/B-cell epitope-based diagnosis strategy.

47 48 49 50 51 52 53 54 55 56 2

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1- Introduction

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Toxoplasma gondii is an intracellular blood and tissue protozoan parasite that is distributed

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worldwide and causes toxoplasmosis in humans and other warm-blooded animals [1, 2].

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Approximately, one-third of the world's populations are infected with Toxoplasma infection

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[3]. The diagnostic importance of toxoplasmosis is clinically highlighted in pregnant women

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and immunocompromised patients [4]. The currently available chemical drugs for the

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treatment of T. gondii are not completely safe and effective [5]. Therefore, by focusing on the

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high rate of public health concerns and economic impact of toxoplasmosis, it would be

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essential to develop an effective commercial diagnostic kit and vaccine against toxoplasmosis

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[6, 7]. Previous studies imply that the design of the toxoplasmosis vaccine and the production

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of enzyme-linked immunosorbent assay (ELISA) commercial kits should be mainly based on

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surface antigens of tachyzoites isolated from mice or cell culture [8]. On the other hand, some

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evidence revealed that each antigen can induce some specific immune cells, which

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subsequently can result in a specific response [9]. It has been shown that -all of the regions of

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whole protein molecules of T. gondii are not fully responsible for the immune responses. The

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presence of these bystander regions leads to a decrease in specificity and affinity of the

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antigen (epitope)-antibody (paratope) binding. Indeed, an epitope is a region of an antigen

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that is specifically detected by and stimulate the B cells or T-cells [10].

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Currently, epitope prediction availability has provided the possibility to electively stimulate

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B, T, cytotoxic T lymphocyte, and NK cells responses that contribute to providing enhanced

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protective immunity against toxoplasmosis in patients. Thus, the accurate in silico prediction

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of antigenic epitopes and design of recombinant antigens of T. gondii (with linear and/or

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spatial structures) can help to develop more effective serological diagnostic kits and vaccines.

3

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In addition to epitope mapping methods such as X-ray diffraction, scanning mutagenesis,

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nuclear

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immunoinformatics tools are now available to study epitopes. Immunogenic multi-epitope

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candidates has been developed using bioinformatics online servers to develop the new

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diagnostic tests and vaccine planning [12]. This comprehensive review represents an updated

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systematic review on the latest advances of clinical usefulness of epitopes described against

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toxoplasmosis including B cell/T cell epitopes, antigen types, parasite strains, epitope

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sequences, assay settings (in vitro and/or in vivo), and target strategy.

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magnetic

resonance,

overlapping

peptides,

phage

display

[11],

and

2- Database search

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Four bibliographic databases including Science Direct, PubMed Central (PMC), Scopus, and

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Google Scholar were searched for articles published up to 2019. The following MeSH

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(Medical Subject Headings) keywords were considered in the initial search strategy:

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“Toxoplasmosis”, “Epitope-based vaccines”, “Epitope-based diagnostic”, and “Antigenic

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multi-epitope of T. gondii (Figure 1).

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3- Phage display method

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The method of “phage display” is a tool for the study of antigenic epitopes by using a random

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peptide library (a source of specific protein binding molecules) [12-14]. Using this method,

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conformational and linear antigenic epitopes can be obtained at the same time. In this

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method, a part of the target gene is inserted in the phage coat gene locus; leads to the

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expression of extrinsic polypeptides that are presented while maintaining specific spatial

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compatibility are demonstrated on the phage surface. Then, the polypeptides are evaluated for

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affinity and specificity. This tool has been extensively used in studies of the antigenic

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epitopes of T. gondii, and various epitopes obtained from MIC, GRA and SAG indicating

4

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epitope-displaying phage can provide high protective immunity [12, 15, 16] As well, this

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method can be very helpful in understanding the relationship between host and parasite [17].

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4- Immunoinformatics tools

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The use of immunoinformatics tools to predict antigenic epitopes has introduced an

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interesting method. Epitope prediction by immunoinformatics tools is useful in vaccine

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development due to eliciting immune responses with enhanced production of specific

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antibodies, increased specificity and long-lasting memory [18]. Epitopes are classified into

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two groups of B cell and T cell epitopes based on their cellular immune responses. Designing

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and predicting epitopes based on physicochemical properties can have high specificity and

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avidity with the receptors of B and T lymphocytes.

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4-1- B cell epitope prediction

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B cells have two types of linear and conformational epitopes, which can be recognized and

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predicted by using several online bioinformatics servers.

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4-1-2- Prediction of linear B cell epitopes

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A linear B-cell epitope is a consecutive sequence of about 10 to 30 amino acids that is

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detected by B cell receptor (BCR). These epitopes can easily be attached to the floor of the

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ELISA plate wells and accessible to the paratope regions of the antibodies. Several properties

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of peptides including antigenicity, flexibility, hydrophilicity, and accessibility have attracted

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a great attention to select effective B-cell epitopes [19-21]. To predict appropriate epitopes, it

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is often necessary to analyze the combination of parameters and different algorithms using

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several methods. Recently, new servers developed to evaluate these parameters including;

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ABCpred (Artificial neural network based B-cell epitope prediction server), LBtope (Linear

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B-Cell Epitope Prediction server), IEDB (The Immune Epitope Database), BCpred

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(Prediction of Continuous B-Cell Epitopes), and SVMTriP (support vector machine to 5

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integrate tri-peptide). In order to design diagnostic ELISA kits on the basis of SAG, GRA and

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MIC proteins, the linear B-cell epitopes prediction is more performed by ABCpred server,

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indicating these epitopes can provide specificity of above 80% [22].

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4-1-3- Conformational B cell epitopes prediction

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Unlike linear B cell epitopes, conformational B-cell epitopes are not tandem sequences of

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amino acids, rather they are comprised of spatial assembly of several short amino acid

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sequences of a protein that are far away from each other in the initial sequence. This type of

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epitope comprises 90 percent of B-cell epitopes [23]. In order to detect conformational B-cell

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epitopes, the three-dimensional antigen structure should be identified. The combination of in-

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silico analysis and experimental methods has led to improvements in the localization and

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analysis of conformational epitope. There are several available epitope servers including:

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CEP [24], CBTope, DiscoTope, and MEPS [25, 26]. Peptide libraries in combination with in

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silico modeling for conformational epitope prediction is a potential technique for predicting

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protein conformational epitopes in B cells [27]. For the first time, Scott and Smith used a

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phage-expressed random peptide library for localization of epitopes in the antigen [12, 28].

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4-1-3-1 SAG1 antigen

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At present, many algorithms are available based on prediction models of conformational B

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cell epitopes. One of the most important antigens is the major surface antigen 1 (SAG1),

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which consists of 3-5% of the total protein of tachyzoites [29, 30]. SAG1 (P30) is the most

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immunogenic antigen in the tachyzoite structure in T. gondii. This antigen is the most potent

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immunologic response in the body against the parasite and induces high titers of IgA, IgM,

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and IgG [31]. Residues 125–269 include all B cell epitopes predictable on the SAG1 antigen

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after infection with the T. gondii, and the sequence of residues 125–165 is necessary to

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complete the structure of these B cell epitopes [32]. 6

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4-1-3-2- GRA antigens

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All of the dense granule antigens (GRA) are recognized as excretory/secretory antigen (E/S).

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GRA1 is a 24-kDa polypeptide called P24. This protein consists of 175 amino acids that the

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sequence of residues 57–149 is immunologic B cell epitopes [32, 33]. GRA2 antigen reduces

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the pathogenicity of T. gondii. This protective effect is mediated by CD4+ T cells that

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respond to this antigen, and provide long-term immunogenicity against these intracellular

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parasites. The 59 C-terminal region from GRA2 encompasses at least three B cell epitopes.

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GRA3 is a 30 kDa protein which exists in dense granules. This protein is secreted into the

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parasitophorous vacuole (PV) and causes the development of the PVcavity to enter the

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cytoplasm of host cells. Using ELISA method, the reactivity of peptides encoded by

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fragmented genomic DNA from phage display of T. gondii with a monoclonal antibody was

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confirmed to be a GRA3 epitope [16]. Amino acids 20 to 30 in the GRA4 antigen structure is

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known as C protein. The GRA4 protein is involved in nutrition and transferring of proteins

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between the parasite and the host. The 11 amino acids at the C terminus and the amino acids

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318–334 from GRA4 proteins contain a major B cell epitope [34-36]. GRA5 is a 21 kDa

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protein that is secreted during the invasion of parasites into host cells. The gene encoding this

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protein has 834 bp, which has no intron regions. The GRA5 antigen has five epitopes and the

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N-terminal region is hydrophobic and contains 25 amino acids. This hydrophobic region of

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the GRA5 is located inside the membrane of the (PV) and the C-terminal region is inside the

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PV space [37-39]. GRA6 has been demonstrated to be suitable for designing novel and

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alternative vaccine candidate for toxoplasmosis and serodiagnostic assays [40]. GRA6

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localized in the PV narrowly associated with the network. Furthermore, the GRA6 gene has

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only a single copy in the genome of T. gondii which contains no intron in its sequence. Wang

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et al. (2016) identified the B cell epitopes of GRA6 protein by bioinformatics prediction

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techniques[41]. Consequently, they confirmed the prediction through experimental methods 7

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by using ELISA technique. After the invasion of the parasite into the host cell, GRA7 is

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secreted into the cytoplasm of bradyzoite-infected cells. The GRA7 coding gene lacks the

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intron region. Based on previous studies, the specificity and sensitivity of GRA7 antigen to

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human serum using ELISA method was about 98% and 88%, respectively; in addition,

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GRA7-ELISA demonstrated the highest positive rate in pregnant women [42, 43].

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4-1-3-3- ROP1 antigen

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Rhoptry protein 1 (ROP1) is a soluble protein that is secreted into the PV during entry to the

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host cell and then rapidly disappears. This protein plays a role during early steps in the

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process of invasion [44]. The ROP1 protein has been evaluated in designing ELISA method

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not only for the diagnosis of the toxoplasmosis, but also for differentiation of acute and

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chronic (IgG, IgG avidity, and IgM ELISA) phases of the disease. Furthermore, ROP1 has

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been examined as a vaccine candidate against toxoplasmosis in mice and sheep [45].

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4-1-3-4- P35 antigen

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The P35 T. gondii antigen is detected by specific IgG at the primary phase of infection. This

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results in rapid detection and control of acute infection in pregnant women. P35 has been

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studied to differentiate between chronic and acute toxoplasmosis [46].

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T. gondii invasion of the host cell is a multi-stage process. One of the first steps is secretion

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of micronemal (MIC) proteins to attach apical tachyzoite to host cell receptors. MIC1 is a

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protein with a molecular weight of 60 kDa and a beta-galactoside-binding lectin. In previous

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studies, it has been shown that MIC1 antigen can be a candidate for the toxoplasmosis

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diagnosis in early stages and the development of the vaccine [47].

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4-2- T cell epitope prediction

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T-cell epitopes can be divided into two groups: A) T-helper cells antigenic epitopes including

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Predicted epitopes that require antigen processing by antigen presenting cells (APCs) and

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presentation on class II major histocompatibility complex (MHC). B) Cytotoxic T cell

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antigenic epitopes including predicted epitopes that require antigen processing by nucleated

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somatic cells and presentation on class I MHC. The basis for predicting T-cell epitopes is that

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they can be presented on MHC molecules [12, 48].

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4-3- Prediction of peptide-MHC binding

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MHC-I and MHC-II molecules have a similar three-dimensional structure. In both of the

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molecules presenting peptides are bound to the groove region. Groove region is composed of

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two α-helices overlying a floor of eight antiparallel β-strands. Nevertheless, the binding

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grooves of MHC I and MHC II have key differences. The peptide bond cleavage in MHC-1

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molecule is formed only by α chain, while in the MHC-II molecule it is made by a co-

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assembly of both α and β chains. The MHC-I peptide-binding groove also comprises deep

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binding bags by physicochemical interactions that are associated to binding properties and

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help to predictions. Peptides with different amino acid chains are commonly placed in the

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MHC class I groove and interact with this molecule. The peptide-MHC-I prediction

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technique requires fixed-length amino acids. It is generally preferable to predict peptides in

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peptide-MHC-I ligands have amino acid with nine residues. In contrast, the length of peptides

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that react with class II MHC molecules is more than 30 amino acids [49]. There are five basic

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prediction approaches for MHC molecular affinity peptides:

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1; Machine learning technique: The machine learning technique is solving the problem of

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searching for core binding motifs, and it can complete data from peptide residue interplay to

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modify the specificity, precision, and applicability of predictions. 2; Binding motif technique:

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This technique is simple and easy to accomplishment, and it is predominantly appropriate for

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the prediction of MHC allele-binding peptides without experimental data. 3; Quantitative 9

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matrix technique: this technique uses linear processing, nevertheless it is problematic to add

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new experiences data into the prediction model, the difference of predictions using this

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technique is reduced. 4; sequence similarity prediction: Biochemical experiments that similar

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protein sequences fold into similar 3D structures provides a foundation for approaches that

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predict the structural features of a new protein based on the similarity between its sequence

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and sequences of recognized protein structures. However, this method has relatively low

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precision and is rarely used. 5; Molecular modeling method: Molecular modeling includes all

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the computational techniques that simulate the molecular interactions in vitro and therefore

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predict the structure and behavior of the molecules of the study. Molecular modeling is used

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in as various as fields of drug design, computational biology, materials science and

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computational chemistry to study molecular systems of small chemical systems to large

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biological molecules [12, 50, 51].

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5- Results

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5-1- Antigenic multiepitope peptides and chimeric antigens of T. gondii

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In previous years, several computational methods have been developed which are able to

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predict the antigenic epitopes. These methods rely on physicochemical properties of amino

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acids to predict the structural and functional characteristics of peptide chains that

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consequently determine the arrangement and localization of epitopes. Moreover, numerous

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experimental methods may be used to recognize epitopes, including epitope mapping and

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phage display of cDNA libraries.

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Use of a combination of two, three or more precisely selected epitopes from antigens at the

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various stages of T. gondii life cycle is the best strategy to overcome the antigen complexity

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of the parasite. Therefore, the chimeric protein can be more immunogenic antigen than the

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whole antigen [52]. The chimeric antigens are a new group of recombinant antigens that have

10

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recently been preferred on native recombinant antigens. To date, many studies have shown

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that it is beneficial to use these antigens for serological diagnosis and even Toxoplasma

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vaccine design (Table 1). Indeed, using chimeric antigens containing epitopes from different

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stages of infection can broaden the diagnostic spectrum of the possible diagnostic methods or

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provide vaccines with the advantage of response to different phases of the disease.Frickel et

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al. (2008) recognized two T. gondii–specific H-2Ld–restricted T cell epitopes, one from

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GRA4 and the other from ROP7 that were involved in the chronic and acute stage of

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infection with T. gondii (Table 1) (refrence). The progress in bioinformatics,

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immonoinformatics and synthetic biology provides the possibility to accelerate and improve

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the design and development of Toxoplasma antigens which consequently contribute to the

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design of precise vaccine and serodiagnostic tests [53]. Such strategies make possible the

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design and the further synthesis of recombinant protein with high antigenic features and

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decreased production costs [54]. Such a perspective, have increased the attention to the

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research on T. gondii multi-epitope antigens [22, 55]. The best advantage of designing multi-

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epitope chimeric recombinant antigens is the possibility to select epitopic parts of several

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highly immunogenic Toxoplasma proteins (Figure 2) based on their location and availability

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in the protein structure and physico-chemical properties and the complexity of their spatial

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structure. These epitopes are linked together by linkers that have high solubility and

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flexibility (Serine has an alcoholic agent that results in high protein solubility and Glycine

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has a shorter lateral branch in its structure that makes the structure of the protein more

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flexible). Due to the presence of epitopes which represents several immunogenic proteins of

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Toxoplasma that are linked by polar and flexible linkers, such a chimeric multi-epitope

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antigen has high antigenicity, solubility and flexibility levels (Figure 3).

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6- Discussion

11

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Many strategies of the vaccine against toxoplasmosis have been tested in animal models;

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however, these efforts at best only resulted in relative protection against the disease. The use

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of immunogenic multi-epitope chimeric recombinant antigens in the design of vaccine has

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many advantages, particularly combination of several immunogenetic epitopes of parasitic

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antigens to make a highly immunogensic multi epitope recombinant antigen. In addition, it

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provides the accessibility of peptide regions with high avidity to T-cell and B cell receptors

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that help to create effective host immune responses with immune memory. Serologic methods

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play an imperative role in the serodiagnosis of animal and human toxoplasmoses. The most

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of the current diagnostic ELISA kits use crude tachyzoites antigens. However, the use of the

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latter antigens in the design of diagnostic tests reduces the specificity and sensitivity of the

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test. In addition, it is very difficult and costly to standardize and mass produce the potential

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diagnostic kit. Holec-Ga˛sior et al. (2012) revealed that the sensitivity of the IgG ELISA for

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the MIC1-MAG1 chimeric antigens was about as much as that for the Toxoplasma lysate

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antigen (TLA), 90.9% and 91.8%, respectively. This research group also produced the MIC1,

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MAG1 and SAG1 chimeric antigens containing immunodominant regions from three T.

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gondii antigens, which obtained better results than the chimeric antigen containing only two

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segments from the MAG1 and MIC1 antigens [47]. It indicates that, the precise selection of

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protein segments are of importance in the process of antigen production for the diagnostic

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kits. Among the various T. gondii proteins, only a specified few numbers of peptide epitopes

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elicit the dominant CD8 T cell responses that are derived from a fewer number of antigens.

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This phenomena which are known as immunodominance when be considered during vaccine

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design can facilitate this process and improve the results. Consistently, Feliu et al. (2013)

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reported that the CD8 T cell responses induced by immunodominant GRA6 antigen can

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control the parasite burden, however, the reactions to the epitopes derived from subdominant

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GRA4 and ROP7 antigens are not protective [56]. The location of the peptide epitope at the

12

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C-terminus of the GRA6 antigenic precursor is involved in the determining immunodominace

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of the epitope, however it is not dependent on the peptide affinity for the MHC I molecule. B-

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cell epitopes can also demonstrate immunodominance effect. Dai et al. (2012) demonstrated

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that three antigenic recombinant epitopes, which were belonged to antigens SAG1, SAG2,

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and SAG3, were reactive to human T. gondii-positive serum antibodies with a very high

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affinity [55]. The results of these studies confirmed the usefulness of ELISA kits developed

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by the recombinant-multiepitope peptide antigens for the serologic diagnosis of

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toxoplasmosis in pregnant women [52, 55]. Hajissa et al. (2015) produced a recombinant

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chimeric protein by using the immunogenic epitopes of SAG1, GRA2, and GRA7 antigens.

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This recombinant protein was used to develop diagnostic human sera IgG by western blot and

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ELISA tests with 100% specificity and sensitivity [22]. The increased sensitivity and

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specificity of the diagnostic test are achieved through the combination of identified parts of

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antigenic epitopes in several whole antigens of the parasite to produce recombinant multi-

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epitope antigens. Using this approach, the non-specific regions of the antigen that potentially

311

react with the antibody are removed. Bioinformatics tools are extensively functional for

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epitope recognition in protein analysis [18, 22, 55]. Frickel et al. (2008) have shown that T

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cells reactive to GRA4-derived epitopes are predominant two weeks after infection, whereas

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the ROP7-derived epitope reactive T cells are predominant at 6–8 weeks after infection [57].

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Feliu et al. (2013) used genetically modified parasites to evaluate the effects of

316

immunodominance against a specified peptide epitope. They found that in spite of epitopes of

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subdominant GRA4 and ROP7 antigens, specific immunoglobulins and CD8 T cell responses

318

against dominant GRA6 antigen control the burden of the parasite. Interestingly, the location

319

of the epitope which is at the C-terminus of the GRA6 antigenic precursor determines the

320

optimal processing and immunodominance [56]. In a study published in 2013, eleven

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peptides taken from T. gondii SAG1 were evaluated by pig sera collected at different times

13

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after infection using ELISA method. Among the 11 peptides tested, four peptides PS11,

323

PS10, PS6, and PS4 were finally introduce for immunodiagnostic purposes.[58]. To

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determine the relationship between the characteristics toxoplasmosis and infectious strains,

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Kong et al. (2003) designed an ELISA test for typing strains that uses serum of toxoplasmosis

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patients against polymorphic peptides from Toxoplasma proteins GRA7, GRA6, GRA3 and

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SAG2A (Table 1) [59]. Cong et al. (2010) using the synthesis of antigenic epitopes of SAG1,

328

GRA6, GRA7, SAG2C, and SPA proteins (Table 1) enhanced immunity in the body of

329

transgenic mice, which reduced the parasitic burden of toxoplasmosis [60] .

330

7. Conclusions

331

In spite of considerable advances in studying T. gondii antigenic epitopes, many methodical

332

and theoretical obstacles prevent epitope-based vaccines or serodiagnostics from becoming

333

commercial diagnostics or vaccines: (A) Because of the complication of immune reaction

334

mechanisms in the body, the design and construction of epitope-based serodiagnostics or

335

vaccines have been laborious; (B) The usage of epitope-based diagnostics or vaccines is

336

extremely dependent on the precise identification of conformational T-helper epitopes and B

337

cell epitopes. At present, epitope identification remained at the level of simulation and

338

prediction. Indeed, it is not clear how multiple epitopes are organized and compounded to

339

produce optimum performance and there is a lack of theoretical models and empirical

340

evidence about this subject. However, the mentioned problems will be resolved and epitope-

341

based diagnostics or vaccines will be designed and used in the future. In fact, according to the

342

evidence from a large body of studies, it seems that the design of antigenic epitopes of SGA1,

343

SGA2, SGA3, GRA4, GRA6 and GRA7 proteins may be used as a better strategy in the

344

design of T. gondii vaccines and diagnostic kits used in human in the near future.

345

Acknowledgments

14

346

This Review study is equated from the Department of Parasitology and Mycology Shahid

347

Beheshti University of Medical Sciences, Tehran, Iran and the Department of Parasitology,

348

Tabriz University of Medical Sciences, Iran.

349

Conflict of interest

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None declared

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Cong, H., et al., Comparative efficacy of a multi-epitope DNA vaccine via intranasal, peroral, and intramuscular delivery against lethal Toxoplasma gondii infection in mice. 2014. 7(1): p. 145. Maksimov, P., et al., Peptide-microarray analysis of in-silico predicted epitopes for the serological diagnosis of Toxoplasma gondii in infected humans. 2012: p. CVI. 00119-12. Leyva, R., P. Hérion, and R.J.P.r. Saavedra, Genetic immunization with plasmid DNA coding for the ROP2 protein of Toxoplasma gondii. 2001. 87(1): p. 70-79. Bonhomme, A., et al., Toxoplasma gondii-structure variations of the antigen P30. 1994. 108(3): p. 281-287. Beghetto, E., et al., Chimeric antigens of Toxoplasma gondii: toward standardization of toxoplasmosis serodiagnosis using recombinant products. 2006. 44(6): p. 2133-2140. Cao, A., et al., Toxoplasma gondii: vaccination with a DNA vaccine encoding T-and B-cell epitopes of SAG1, GRA2, GRA7 and ROP16 elicits protection against acute toxoplasmosis in mice. 2015. 33(48): p. 6757-6762. Cesbron-Delauw, M., et al., Amino acid sequence requirements for the epitope recognized by a monoclonal antibody reacting with the secreted antigen GP28. 5 of Toxoplasma gondii. 1992. 29(11): p. 1375-1382. Duquesne, V., et al., Protection of nude rats against Toxoplasma infection by excretedsecreted antigen-specific helper T cells. 1990. 58(7): p. 2120-2126. Cong, H., et al., Toxoplasma gondii HLA-B* 0702-restricted GRA720-28 peptide with adjuvants and a universal helper T cell epitope elicits CD8+ T cells producing interferon-γ and reduces parasite burden in HLA-B* 0702 mice. 2012. 73(1): p. 1-10. Macêdo, A.G., et al., SAG2A protein from Toxoplasma gondii interacts with both innate and adaptive immune compartments of infected hosts. 2013. 6(1): p. 163. Lu, G., et al., Epitope analysis, expression and protection of SAG5A vaccine against Toxoplasma gondii. 2015. 146: p. 66-72. Tan, T.G., et al., Identification of T. gondii epitopes, adjuvants, and host genetic factors that influence protection of mice and humans. 2010. 28(23): p. 3977-3989. Wang, Y., et al., Increased survival time in mice vaccinated with a branched lysine multiple antigenic peptide containing B-and T-cell epitopes from T. gondii antigens. 2011. 29(47): p. 8619-8623. Wang, Y., et al., Identification of novel B cell epitopes within Toxoplasma gondii GRA1. 2013. 135(3): p. 606-610. Zhang, T.-E., et al., Protective immunity induced by peptides of AMA1, RON2 and RON4 containing T-and B-cell epitopes via an intranasal route against toxoplasmosis in mice. 2015. 8(1): p. 15.

522 523

Figure legends:

524

Figure 1. Flow chart displaying study collection for the review.

525 526 527

Figure 2: Toxoplasma gondii organelles. The major organelles and hypothetical 3D structure of their antigens designed with by the SWISS-MODEL server of the asexually tachyzoite phase are displayed.

528 529 530

Figure 3: A) Linear epitope prediction of SAG1, 2, 3 antigens using ABCpred server. B) Multi-epitope prediction of linear epitopes predicted SAG1, 2, 3 antigens. C) Hypothetical 3D multi-epitope structure designed using the SWISS-MODEL server.

531

18

532 533 534 535 536 537 538 539 540 541 542

19

Table1: Candidate antigenic epitopes for vaccination and diagnosis strategies of T. gondii.

Antigen type

Antigen form

B cell

T cell

GRA4 ROP7

Secretory proteins

_

+ CD8

SAG1

GPI-linked surface protein

+

SAG2A, GRA3, GRA6, and GRA7

Secretory proteins

SAG1 GRA2 GRA7

Surface protein (SAG1)

SAG1 GRA6 GRA7 SAG2C SPA

Study model (Human/Animal ) BALB/c

Parasite strain

Epitope sequence

T. gondii Pru

GRA4: SPMNGGYYM ROP7: IPAAAGRFF

-

+

[57]

-

Pig sera

Not mentioned

+

-

[30]

+

-

Human

types I (RH), II (Me49 and Prugniaud), and III (VEG and CEP)

PS4-2: TTSSCTSKAVTLSSL PS6-3: DAQSCMVTVTVQARA PS10-3: SPEKHHCTVQLE PS11-2: GTASHVSIFAMVTGLIGSIA GRA6: (6I/III: CLHPERVNVFDY 6II: CLHPGSVNEFDF (d)6II: CLHPGSVNEFD- & (d)6I/III: CLHPERVNVFD-) SAG2A: (2I/III: RNNDG-SSAPC 2II: RNNDGGSSAPC) GRA3: (3I/III: ADQPEAHQNLAEPVC 3II: ADQPGAHQNLAEPVC) GRA7: (7II: CVPESGKDGEDARQ (d)7II: CVPESGKDGEDA-7III: CVPESGEDREDARQ (d)7III: CVPESGEDREDA)

+

-

[59]

+

-

Human

Not mentioned

+

-

[22]

-

+ CD8+

HLAA* 1101 transgenic mice

Type II Prugniaud (Pru) strain20

-

+

[61]

Secretory proteins (GRA2 GRA7)

Surface proteins (SAG1, SAG2C SPA) Secretory (GRA6

SAG1 (KLSAEGPTTMTLVCGK AAVILTPTENHFTLKC TEPPTLAYSPNRQICP) GRA2 (DERQQEPEEPVSQRAS TQAPDSPNGLAETQAP GVVNQGPVDVPFSGKP) GRA7 (AATASDDELMSRIRNS MGLTRTYRHFSPRKNR PELTEEQQRGDEPLTT) SAG1: KSFKDILPK GRA6: AMLTAFFLR GRA7:

Strategy Diagnosis vaccine

Reference

GRA7)

RSFKDLLKK SAG2C: STFWPCLLR SPA: SSAYVFSVK, AVVSLLRLLK

SAG1, GRA1, ROP2, GRA4 SAG2C, SAG2X

Surface protein (SAG1, SAG2C & SAG2X) Secretory (GRA1 GRA4 ROP2)

+

+

BALB/c mice

High virulent RH strain

SAG1-I (TCPDKKSTA) SAG1-II (ILPKLTENPW) GRA1 (DTMKSMQRDED), ROP2 (GDV VIEELFNRIPETS) GRA4 (SGLTGVKDS) SAG 2C (SQFLSLSLL) SAG2X (AAGTTATAV)

-

+

[62]

SAG1 SAG2 SAG3 P35 GRA5 GRA6

Surface protein (SAG1 SAG2 SAG3 P35) Secretory (GRA5 GRA6

+

-

Human

Not mentioned

+

-

[55]

GRA6 GRA1

Secretory

+

-

Human

Not mentioned

SAG1_EP1: QGNASSDKGA SAG1_EP2: GLIGSFAACV SAG2_EP1: SYDGTPEKPQ SAG2_EP2: GRNNDGSSAPTP SAG3_EP1: KDKGDCERNK SAG3_EP2: QPGTEGESQA P35_ EP1: GMPKPENPVR P35_ EP2: QPGTTTTTTS GRA5_ EP1: FVGVAGSTRD GRA5_ EP2: EESKESATAE GRA6_ EP1: GRRSPQEPSG GRA6_ EP2: EGGAEDDRRP Nd

+

-

[39]

SAG1, GRA1, GRA2, GRA4, NTPase1, NTPase2

Surface protein (SAG1)

+

-

Human

Not mentioned

Peptide Microarray Analysis

+

-

[63]

Secretory (GRA1 GRA2 GRA4 NTPas1NTPas2)

21

ROP2

Secretory

-

+

Human

P30

Surface

+

-

-

GRA1

Secretory

+

_

Human

SAG1, GRA2, GRA7 and ROP16

Surface (SAG1) Secretory (GRA2, GRA7 and ROP16)

+

+

GP28.5

Secretory antigen

+

P24

Secretory antigen

-

Wiktor strain

197 to 216 of the ROP2 protein TDPGDVVIEELFNRIPETS

-

+

[64]

256-265, 286-295, 220-229, 58-67, 160169, 244-253 (No amino acids sequence)

Nd

Nd

[65]

RH strain

EEVIDTMKSMQRDED ,DEMKVIDDVQQLEK

+

-

[66]

BALB/c mice

RH strain

-

+

[67]

-

Human

Nd

SAG1 (LGPVKLSAEGPT, VVTCPDKKSTA) GRA2 (TAAKTHTVRGFKV, TQAPDSPNGLAETQAPV) GRA7 (SYFAADRLVP, PELTEEQQRGDEPL, QEVPESGEDGEDARQ) ROP16 ( SPAQERRGSPQRQI, VMMINANGV , TLPENKATVVRRGS, KLNNMMIDV) VPVPDFSQ

+

-

[68]

+

Rat model

RH strain

-

+

[69]

-

+

[62]

-

+

[61]

SAG1 GRA1 ROP2 GRA4

Surface protein (SAG1) Secretory (GRA1 GRA4 ROP2)

+

+

SPF grade BALB/c female mice

RH strain

GRA6 GRA3 SAG2C SAG2D SAG2X

Surface protein (SAG2, SPA) Secretory (GRA6 GRA3 MIC1)

-

+ CD8

Human and HLAA*0201 Kb transgenic mice

type II Prugniaud (Pru) strain

22

(CysLeuSerAlaGlyAlaTyrAlaAlaGluGlyG lyAspAsnGlnSerSerAlaValSerAspArg), (ValGluGluValIleAspThrMetLysSerMet GlnArgAspGluAspllePheLeuArgAlaLeuA snLys) and (GlyGluThrValGluGluAlaIleGluAspValAI aGInAlaGlu) SAG1-I (TCPDKKSTA) SAG1-II (ILPKLTENPWQ) GRA1 (DTMKSMQRDED) ROP2 (PGDVVIEELFNRIPETSV) GRA4 (SGLTGVKDSSS) GRA6 (FMGVLVNSL) GRA3 (FLVPFVVFL) SAG2C (FLSLSLLVI) SAG2D (FMIAFISCFA) SAG2X (FVIFACNFV)

SAG2X SAG3 SPA MIC1

GRA7

Secretory (GRA7)

-

+ CD8

SAG2A

Surface protein (SAG2A)

+

-

Human HLAB*0702 transgenic mice Human

type II T gondii strain, ME49

SAG5A

Surface protein (SAG5A)

+

+

BALB/c mice

T. gondii RH (type I) & ME49(type II) PRU strain

GRA4

Secretory (GRA4)

+

+

C57BL/6 mice

GRA6 GRA 3, GRA6, GRA 7, and Sag 1

Surface protein (SAG1) Secretory (GRA3 GRA6 GRA7)

-

+ CD8

GRA4 GRA1 SAG1

Surface protein (SAG1) Secretory (GRA4 GRA1)

+

GRA1

Secretory

+

SAG2X (FMIVSISLV) SAG3 (FLLGLLVHV) SAG3 (FLTDYIPGA) SPA (ITMGSLFFV) SPA (GLAAAVVAV) MIC1(VLLPVLFGV) GRA7 (LPQFATAAT)

-

+

[70]

Type I/III: RNNDG-SSAPTP Type II: RNNDGGSSAPTP

+

-

[71]

SAG5A (HAPTPSFLGLLAVVF) (Peptide vaccine as booster)

-

+

[72]

Nd

1: (last 11 C-terminal residues of GRA4) 2: (region 318-334 of GRA4)

-

+

[36]

BALB/c mice HLAB07+ transgenic mice and naturally infected HLAB07+ individuals

type II Prugneaud (Pru) strain

HF10 GRA6: (HPGSVNEFDF) in Ld mice HLAA02 GRA6[VVFVVFMGV], GRA6[FMGVLVNSL], GRA3[FLVPFVVFL], HLA-B07 GRA7[LPQFATAAT], GRA3[VPFVVFLVA] HLA-A03 SAG1[KSFKDILPK], GRA7[RSFKDLLKK], GRA6[AMLTAFFLR]

-

+

[73]

+

SPF grade male BALB/c and Kunming mice

GRA4 (STEDSGLTGVKDSSS) GRA1 (DTMKSMQRDED) SAG1 (TCPDKKSTA)

-

+

[74]

-

Pig

highly virulent Gansu Jingtai strain (GJS, type I strain) Gansu Jingtai strain

(YSEVGNVNMEEVIDTMKSMQ), (NKGETVEEAIEDVAQAEGLN)

+

-

[75]

23

(LEKDKQQLKDDIGFLTGERE) GRA4

Secretory

+

-

Pig

Gansu Jingtai strain

AMA1, RON2 and RON4

Secretory

+

+

SPF Female BALB/c mice

T. gondii RH strain

24

(PYADGQQGSPPPQGQL), (EDSGLTVVRDSSSSESTVTP) and (TELDDGYRPPPFNPRPSPYA) AMA1 (CAELCDPSNKPGHLL) RON2 (LTAGGPLPHGSWS WSGTPPEVQTTGG SQIS) RON4 (KEQFFQFLQHLSA DYPKQVQTVYEFL GWVADK)

+

-

[18]

-

+

[76]

25

26

Highlight •

The studies have shown that predicting and constructing antigenic epitopes of surface and secretory Toxoplasma gondii proteins could be suitable for vaccine design and serological tests.



The results of other studies have shown that the synthesis of antigenic and immunogenic multi-epitope can enhance the specificity of antigenic and antibody responses.



Antigenic multi-epitope are likely to be potential substitutes for the toxic and recombinant Toxoplasma gondii antigens.