Designing Lsa46 Based Multi-Epitope Peptide Vaccine Against Leptospirosis: Immunoinformatic Approach

Leptospirosis represents a significant global public health problem due to its epidemiological impact, complex pathogen biology, and diverse clinical manifestations. Effective treatment, management, and preventive measures, including vaccination, are vital for addressing this disease. Lsa46, a surfa...

Full description

Saved in:
Bibliographic Details
Published inMedinformatics
Main Authors Ibrahim, Junaida M., Satheeshkumar, Padikara K., Nair, Achuthsankar S., Oommen, Oommen V., Sudhakaran, Perumana R.
Format Journal Article
LanguageEnglish
Published 27.06.2024
Online AccessGet full text

Cover

Loading…
More Information
Summary:Leptospirosis represents a significant global public health problem due to its epidemiological impact, complex pathogen biology, and diverse clinical manifestations. Effective treatment, management, and preventive measures, including vaccination, are vital for addressing this disease. Lsa46, a surface-exposed outer membrane protein in leptospires, plays a crucial role in pathogenesis. In this study, we utilized multiple epitopes predicted from Lsa46, validated in previous study, to design a potential vaccine candidate construct. The antigenicity, allergenicity, autoimmunity, population coverage, immune simulation, molecular interactions etc. were assessed using various computational tools. 3D structure modeling revealed a stable and high quality model for epitope constructs. Immune simulation confirmed a robust immune response induced by the Designer Epitope construct, including IgG, IgM, MHCI, MHCII, cytokines, and interleukins production. Interaction analysis with immune cells and receptors, such as TCRαβ, TCRγδ, and TLRs, provided insights into the epitope construct's potential immunogenic response. Docking studies with TLR2 and TLR4 indicated their interaction with the epitope, suggesting their involvement in the immune response against leptospirosis. Further experimental validations are required to confirm these prediction results.
ISSN:3029-1321
3029-1321
DOI:10.47852/bonviewMEDIN42022655