In silico CD4+, CD8+ & humoral immunity associated antigenic epitope prediction and HLA distribution analysis of HTLV-I

Authors

Tasneem Bano
Essam Mohammed Janahi
Anupam Dhasmana, The University of Texas Rio Grande Valley
Mohtashim Lohani
Shafiul Haque
Raju K. Mandel
Sajad A. Dar
Arshad Jawed
Mohd Wahid
Naseem Akhter
Mohammaed Y. Areeshi

Document Type

Article

Publication Date

2018

Abstract

Purpose: The linkage of human T-cell leukemia virus type 1 (HTLV-1) to fatal diseases is a well known fact for many years. However, there has been no significant progress in the field of the treatment that can lead to the development of a successful vaccine. Furthermore, there are no means of assessing the risk of disease and its prognosis in the infected people.

Methods:The current study has taken the cognizance of the importance of host’s immune response in reducing the risk of infectious diseases to carry out immunoinformatics driven epitope screening strategy of vaccine candidates against HTLV-1. In this study, a genetic variability and HLA distribution analysis among the documented HTLV-1 genotypes I, II, III, IV, V & VI was performed to ensure the coverage of the vast majority of population, where vaccine would be employed. The meticulous screening of effective dominant immunogens was done with the help of ABCPred and Immune Epitope Database.

Results: The results showed that the identified epitopes might be protective immunogens with high conservancy and potential of inducing both protective neutralizing antibodies and Tcell responses. The peptides “PSQLPPTAPPLLPHSNLDHI”, “PCPNLVAYSSYHATY”, and “YHATYSLYLF”, were 100% conserved among different isolates from far and wide separated countries, suggesting negligible antigenic drift in HTLV-1.

Conclusions: Overall, the mentioned epitopes are soluble, non-toxic suitable candidates for the development of vaccine against HTLV-1 and warrant further investigation and experimental validation.

Comments

Original published version available at https://www.jbuon.com/archive/23-5-1514.pdf

Recommended Citation

Bano, T., Janahi, E. M., Dhasmana, A., Lohani, M., Haque, S., Mandal, R. K., Dar, S. A., Jawed, A., Wahid, M., & Areeshi, M. Y. (2018). In silico CD4+, CD8+ & humoral immunity associated antigenic epitope prediction and HLA distribution analysis of HTLV-I. J BUON, 23(5), 1514–1527.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

First Page

1514

Last Page

1527

Publication Title

J BUON

Academic Level

faculty

Mentor/PI Department

Immunology and Microbiology