Journal Article

Multi-Omics Analysis of the virulence factors and designing of next-generation multi-epitopes Vaccines against Rickettsia prowazekii: a computer-aided vaccine designing approach

Alshabrmi, Fahad M.

2025

Overview

Rickettsia is a genus of bacteria that are obligate intracellular parasites and are responsible for the febrile diseases known collectively as Rickettsioses. The emergence of antibiotic resistance is an escalating concern and thus developing a vaccine against Rickettsia is of paramount importance due to the significant public health threat posed by these bacteria. Thus, we employed structural vaccinology guided by machine learning algorithms to explore the virulence landscape of Rickettsia prowazekii to design a multi-epitopes-based vaccine (MEVC) that is immunogenic and safe. From a pool of virulence factors, we shortlisted five targets including sca0, sca1, sca4, sca5 and tlyA that were classified as non-allergenic as well as antigenic. The immune epitopes mapping results shortlisted five CTL epitopes, five HTL (IFN+) epitopes and five B cell epitopes as the best choice to design a vaccine construct of 475 amino acids. Various parameters were used to validate the designed MEVC which involved prediction of physiochemical properties, modeling and validation of the 3D structure, interaction with the immune receptors such as TLR2 (Toll-like receptor) and TLR4. Moreover, all-atoms simulation and binding free energy (BFE) results revealed a stable and favorable dynamic properties determined by these complexes. Jcat revealed that the improved sequence exhibits a GC content of 48.14% and a CAI (Codon Adaptation Index) value of 1.0. We used a multi-dose criterion at different time intervals i.e., 1st, 84th and 170th day to understand the immune potential of our constructed vaccine. The results provide a comprehensive overview of immune factors that ensure effective antigen memory cells generation after each injection, as predicted by the in silico pipeline. However, limitations in current algorithms particularly their inability to fully account for HLA polymorphism and the lack of experimental and clinical validation remain major shortcomings of the study. These issues should be addressed in future research to support the development of a robust immune response against Rickettsia infections.

• Publisher: Springer International Publishing,Springer Nature B.V
• Subject: Algorithms / Amino acids / Animal Anatomy / Antibiotic resistance / Antigens / Bacteria / Bacterial Vaccines - chemistry / Bacterial Vaccines - immunology / Chemistry / Chemistry and Materials Science / Computer Applications in Chemistry / Computer-Aided Design / Dynamic characteristics / Epitopes - chemistry / Epitopes - immunology / Epitopes, B-Lymphocyte - chemistry / Epitopes, B-Lymphocyte - immunology / Epitopes, T-Lymphocyte - chemistry / Epitopes, T-Lymphocyte - immunology / Free energy / Health risks / Histology / Humans / Immune response / Immune system / Machine Learning / Molecular Docking Simulation / Morphology / Multiomics / Parasites / Physical Chemistry / Physiochemistry / Polymorphism / Proteins / Public health / Rickettsia Infections - immunology / Rickettsia Infections - microbiology / Rickettsia Infections - prevention & control / Rickettsia prowazekii - genetics / Rickettsia prowazekii - immunology / Rickettsia prowazekii - pathogenicity / Rickettsial Vaccines - chemistry / Rickettsial Vaccines - immunology / Vaccines / Virulence / Virulence Factors - chemistry / Virulence Factors - genetics / Virulence Factors - immunology