Literature DB >> 25643869

In silico analysis of MHC-I restricted epitopes of Chikungunya virus proteins: Implication in understanding anti-CHIKV CD8(+) T cell response and advancement of epitope based immunotherapy for CHIKV infection.

B M Pratheek1, Amol R Suryawanshi2, Soma Chattopadhyay3, Subhasis Chattopadhyay4.   

Abstract

Chikungunya virus (CHIKV) is a mosquito-borne Alphavirus, responsible for acute febrile infection. The high morbidity and socio-economic loss associated with the recent CHIKV epidemics worldwide have raised a great public health concern and emphasize the need to study the immunological basis of CHIKV infection to control the disease. MHC-I restricted CD8(+) T cell response represent one of the major anti-viral immune responses. Accordingly, it is essential to have a detailed understanding towards CHIKV specific MHC-I restricted immunogenic epitopes for anti-viral CD8(+) CTL immunogenicity. In the present study, a computational approach was used to predict the conserved MHC-I epitopes for mouse haplotypes (H2-Db and H2-Dd) and some alleles of the major HLA-I supertypes (HLA-A2, -A3, -A24, -B7, -B15) of all CHIKV proteins. Further, an in-depth computational analysis was carried out to validate the selected epitopes for their nature of conservation in different global CHIKV isolates to assess their binding affinities to the appropriate site of respective MHC-I molecules and to predict anti-CHIKV CD8(+) CTL immunogenicity. Our analyses resulted in fifteen highly conserved epitopes for H2-Db and H2-Dd and fifty epitopes for different HLA-I supertypes. Out of these, the MHC-I epitopes VLLPNVHTL and MTPERVTRL were found to have highest predictable CTL immunogenicities and least binding energies for H2-Db and H2-Dd, whereas, for HLA-I, the epitope FLTLFVNTL was with the highest population coverage, CTL immunogenicity and least binding energy. Hence, our study has identified MHC-I restricted epitopes that may help in the advancement of MHC-I restricted epitope based anti-CHIKV immune responses against this infection and this will be useful towards the development of epitope based anti-CHIKV immunotherapy in the future. However, further experimental investigations for cross validation and evaluation are warranted to establish the ability of epitopes to induce CD8(+) T cell mediated immune responses.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chikungunya virus; H2-Db; H2-Dd; HLA-I; MHC-I epitope

Mesh:

Substances:

Year:  2015        PMID: 25643869     DOI: 10.1016/j.meegid.2015.01.017

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  5 in total

1.  Regulation of Viral Replication, Apoptosis and Pro-Inflammatory Responses by 17-AAG during Chikungunya Virus Infection in Macrophages.

Authors:  Tapas K Nayak; Prabhudutta Mamidi; Abhishek Kumar; Laishram Pradeep K Singh; Subhransu S Sahoo; Soma Chattopadhyay; Subhasis Chattopadhyay
Journal:  Viruses       Date:  2017-01-06       Impact factor: 5.048

2.  Vaccine-Induced Skewing of T Cell Responses Protects Against Chikungunya Virus Disease.

Authors:  Rebecca M Broeckel; Nicole Haese; Takeshi Ando; Igor Dmitriev; Craig N Kreklywich; John Powers; Michael Denton; Patricia Smith; Thomas E Morrison; Mark Heise; Victor DeFilippis; Ilhem Messaoudi; David T Curiel; Daniel N Streblow
Journal:  Front Immunol       Date:  2019-10-31       Impact factor: 7.561

Review 3.  The medicinal chemistry of Chikungunya virus.

Authors:  Edeildo F da Silva-Júnior; Giovanni O Leoncini; Érica E S Rodrigues; Thiago M Aquino; João X Araújo-Júnior
Journal:  Bioorg Med Chem       Date:  2017-06-29       Impact factor: 3.641

Review 4.  Role of T Cells in Chikungunya Virus Infection and Utilizing Their Potential in Anti-Viral Immunity.

Authors:  Chek Meng Poh; Yi-Hao Chan; Lisa F P Ng
Journal:  Front Immunol       Date:  2020-02-21       Impact factor: 7.561

5.  In silico analysis and in vivo assessment of a novel epitope-based vaccine candidate against uropathogenic Escherichia coli.

Authors:  Sara Hasanzadeh; Mehri Habibi; Mohammad Ali Shokrgozar; Reza Ahangari Cohan; Khadijeh Ahmadi; Mohammad Reza Asadi Karam; Saeid Bouzari
Journal:  Sci Rep       Date:  2020-10-01       Impact factor: 4.379

  5 in total

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