Journal article
One Health Approach to the Computational Design of a Lipoprotein-Based Multi-Epitope Vaccine Against Human and Livestock Tuberculosis
International journal of molecular sciences, v 26(4), 1587
13 Feb 2025
PMID: 40004053
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Tuberculosis (TB) remains a major cause of ill health and one of the leading causes of death worldwide, with about 1.25 million deaths estimated in 2023. Control measures have focused principally on early diagnosis, the treatment of active TB, and vaccination. However, the widespread emergence of anti-tuberculosis drug resistance remains the major public health threat to progress made in global TB care and control. Moreover, the Bacillus Calmette-Gu & eacute;rin (BCG) vaccine, the only licensed vaccine against TB in children, has been in use for over a century, and there have been considerable debates concerning its effectiveness in TB control. A multi-epitope vaccine against TB would be an invaluable tool to attain the Global Plan to End TB 2023-2030 target. A rational approach that combines several B-cell and T-cell epitopes from key lipoproteins was adopted to design a novel multi-epitope vaccine candidate. In addition, interactions with TLR4 were implemented to assess its ability to elicit an innate immune response. The conservation of the selected proteins suggests the possibility of cross-protection in line with the One Health approach to disease control. The vaccine candidate was predicted to be both antigenic and immunogenic, and immune simulation analyses demonstrated its ability to elicit both humoral and cellular immune responses. Protein-protein docking and normal-mode analyses of the vaccine candidate with TLR4 predicted efficient binding and stable interaction. This study provides a promising One Health approach for the design of multi-epitope vaccines against human and livestock tuberculosis. Overall, the designed vaccine candidate demonstrated immunogenicity and safety features that warrant further experimental validation in vitro and in vivo.
Metrics
1 Record Views
Details
- Title
- One Health Approach to the Computational Design of a Lipoprotein-Based Multi-Epitope Vaccine Against Human and Livestock Tuberculosis
- Creators
- Robert Adamu Shey - University of BueaGordon Takop Nchanji - University of BueaTangan Yanick Aqua Stong - University of BueaNtang Emmaculate Yaah - University of BueaCabirou Mounchili Shintouo - Drexel UniversityBernis Neneyoh Yengo - Drexel UniversityDerrick Neba Nebangwa - University of BueaMary Teke Efeti - Vrije Universiteit BrusselJoan Amban Chick - Covenant UniversityAbey Blessings Ayuk - University of BueaKetura Yaje Gwei - University of BueaArnaud Azonpi Lemoge - Ngonpong Therapeut, 3640 Concord Pike 1145, Wilmington, DE 19803 USALuc Vanhamme - Université Libre de BruxellesStephen Mbigha Ghogomu - University of BueaJacob Souopgui - Université Libre de Bruxelles
- Publication Details
- International journal of molecular sciences, v 26(4), 1587
- Publisher
- Mdpi
- Number of pages
- 30
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Microbiology and Immunology
- Web of Science ID
- WOS:001430043700001
- Scopus ID
- 2-s2.0-85219185156
- Other Identifier
- 991022197401804721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Biochemistry & Molecular Biology
- Chemistry, Multidisciplinary