Engineering a multi-epitope vaccine candidate against Leishmania infantum using comprehensive Immunoinformatics methods

被引:0
|
作者
Morteza Shams
Hassan Nourmohammadi
Hamidreza Majidiani
Seyyed Ali Shariatzadeh
Ali Asghari
Mohammad Fatollahzadeh
Hamid Irannejad
机构
[1] Ilam University of Medical Sciences,Zoonotic Diseases Research Center
[2] Ilam University of Medical Sciences,Department of Internal Medicine, Shahid Mostafa Khomeini Hospital
[3] Mazandaran University of Medical Sciences,Department of Parasitology, School of Medicine
[4] Mazandaran University of Medical Sciences,Toxoplasmosis Research Center, Communicable Diseases Institute
[5] Mazandaran University of Medical Sciences,Student Research Committee
[6] Shiraz University of Medical Sciences,Department of Medical Parasitology and Mycology, School of Medicine
[7] Isfahan University of Medical Sciences,Department of Parasitology and Mycology, School of Medicine
[8] Mazandaran University of Medical Sciences,Department of Medicinal Chemistry, Faculty of Pharmacy
[9] Mazandaran University of Medical Sciences,Pharmaceutical Sciences Research Center
来源
Biologia | 2022年 / 77卷
关键词
Chimeric vaccine; Immunoinformatics;
D O I
暂无
中图分类号
学科分类号
摘要
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-γ, 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.
引用
收藏
页码:277 / 289
页数:12
相关论文
共 50 条
  • [41] Immunoinformatics based designing a multi-epitope vaccine against pathogenic Chandipura vesiculovirus
    Deb, Debashrito
    Basak, Srijita
    Kar, Tamalika
    Narsaria, Utkarsh
    Castiglione, Filippo
    Paul, Abhirup
    Pandey, Ashutosh
    Srivastava, Anurag P.
    JOURNAL OF CELLULAR BIOCHEMISTRY, 2022, 123 (02) : 322 - 346
  • [42] Computational Design of a Multi-epitope Vaccine Against Clostridium chauvoei: An Immunoinformatics Approach
    Çiğdem Yılmaz Çolak
    International Journal of Peptide Research and Therapeutics, 2021, 27 : 2639 - 2649
  • [43] Computational design of a new multi-epitope vaccine using immunoinformatics approach against mastitis disease
    Dzayee, Shireen Ahmed
    Khudhur, Pinar Khalid
    Mahmood, Arshad
    Markov, Alexander
    Maseleno, Andino
    Ebrahimpour Gorji, Abdolvahab
    ANIMAL BIOTECHNOLOGY, 2022, 33 (06) : 1359 - 1370
  • [44] In-silico Design of Multi-epitope Vaccine against Nipah Virus using Immunoinformatics Approach
    Raju, Suraj
    Sahoo, Debasish
    Bhari, Vikas Kumar
    JOURNAL OF PURE AND APPLIED MICROBIOLOGY, 2021, 15 (01): : 212 - 231
  • [45] Design of a multi-epitope vaccine against SARS-CoV-2 using immunoinformatics approach
    Sanami, Samira
    Zandi, Milad
    Pourhossein, Behzad
    Mobini, Gholam-Reza
    Safaei, Mohsen
    Abed, Atena
    Arvejeh, Pooria Mohammadi
    Chermahini, Fatemeh Amini
    Alizadeh, Morteza
    INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2020, 164 : 871 - 883
  • [46] Design of a Multi-Epitope Vaccine against Histoplasma capsulatum through Immunoinformatics Approaches
    Marques, Pedro Henrique
    Tiwari, Sandeep
    Felice, Andrei Giacchetto
    Jaiswal, Arun Kumar
    Aburjaile, Flavia Figueira
    Azevedo, Vasco
    Silva-Vergara, Mario Leon
    Ferreira-Paim, Kennio
    Soares, Siomar de Castro
    Fonseca, Fernanda Machado
    JOURNAL OF FUNGI, 2024, 10 (01)
  • [47] Novel multi-epitope vaccine design against Mycobacterium tuberculosis: An Immunoinformatics strategy
    Ranganathan, Dhakshinamoorthy Dhayanitha
    Ramanathan, Karuppasamy
    RESEARCH JOURNAL OF BIOTECHNOLOGY, 2023, 18 (10): : 60 - 68
  • [48] A Novel Design of Multi-epitope Vaccine Against Helicobacter pylori by Immunoinformatics Approach
    Ma, Junfei
    Qiu, Jingxuan
    Wang, Shuying
    Ji, Qianyu
    Xu, Dongpo
    Wang, Haiwang
    Wu, Zhiguang
    Liu, Qing
    INTERNATIONAL JOURNAL OF PEPTIDE RESEARCH AND THERAPEUTICS, 2021, 27 (02) : 1027 - 1042
  • [49] Computational Design of a Multi-epitope Vaccine Against Clostridium chauvoei: An Immunoinformatics Approach
    Yilmaz Colak, Cigdem
    INTERNATIONAL JOURNAL OF PEPTIDE RESEARCH AND THERAPEUTICS, 2021, 27 (04) : 2639 - 2649
  • [50] Design of a multi-epitope vaccine candidate against Brucella melitensis
    Min Li
    Yuejie Zhu
    Ce Niu
    Xinru Xie
    Gulishati Haimiti
    Wenhong Guo
    Mingkai Yu
    Zhiqiang Chen
    Jianbing Ding
    Fengbo Zhang
    Scientific Reports, 12