Cited by 2vaccines and immunoinformatics approachesTuberculosis Research and EpidemiologyImmunotherapy and Immune Responses

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Bioinformatics Analysis and Immunogenicity Assessment of the Novel Multi‐Stage DNA Vaccine W541 Against Mycobacterium Tuberculosis

Open access
Yang, Yourong, Xue, Yong, Wang, Xiaoou, Wang, Lan, Wang, Jie, Zhang, Junxian, Liu, Yinping, Liang, Yan, Wu, Xueqiong·2024·Immunity, Inflammation and Disease

Published version of a preprint

Abstract

Background: Vaccination is one of the effective measures to prevent latent tuberculosis infection (LTBI) from developing into active tuberculosis (TB). Applying bioinformatics methods to pre‐evaluate the biological characteristics and immunogenicity of vaccines can improve the efficiency of vaccine development. Objectives: To evaluate the immunogenicity of TB vaccine W541 and to explore the application of bioinformatics technology in TB vaccine research. Methods: This study concatenated the immunodominant sequences of Ag85A, Ag85B, Rv3407 , and Rv1733c to construct the W541 DNA vaccine. Then, bioinformatics methods were used to analyze the physicochemical properties, antigenicity, allergenicity, toxicity, and population coverage of the vaccine, to identify its epitopes, and to perform molecular docking with MHC alleles and Toll‐like receptor 4 (TLR4) of the host. Finally, the immunogenicity of the vaccine was evaluated in animal experiments. Results: The W541 vaccine protein is a soluble cytoplasmic protein with a half‐life of 1.1 h in vivo and an instability index of 45.37. It has good antigenicity and wide population coverage without allergenicity and toxicity. It contains 138 HTL epitopes, 73 CTL epitopes, 8 linear and 14 discontinuous B cell epitopes, and has a strong affinity for TLR4. Immune simulations have shown that it can effectively stimulate innate and adaptive immune responses. Animal experiments confirmed that the W541 DNA vaccine could effectively activate Th1‐ and Th17‐type immune responses, producing high levels of IFN‐γ and IL‐17A, but could not significantly increase antibody levels. Conclusion: The W541 DNA vaccine can induce strong cellular immune responses. However, further optimization of the vaccine design is needed to make the expressed protein more stable in vivo. Bioinformatics analysis could reveal the physicochemical and immunological information of vaccines, which is critical for guiding vaccine design and development.

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Metadata

Authors
Yang, Y., Xue, Y., Wang, X., Wang, L., Wang, J., Zhang, J., Liu, Y., Liang, Y., & Wu, X.
Affiliations
Chinese PLA General Hospital (CN)
Corresponding author
  • Liang, Yan
  • Wu, Xueqiong
Venue
Immunity, Inflammation and Disease
Publisher
Wiley
Published
2024-11
Volume
12
Issue
11
Pages
e70074-e70074
ISSN
2050-4527 (ISSN-L)
OpenAlex
W4404717200
Cited by
2
References
2
Citations by year
2026: 1 · 2025: 1
FWCI
0.27
Type
journal article
Language
en
Open access
Locations
  • Immunity Inflammation and Disease (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
General Hospital of People’s Liberation Army
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
  • Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
  • Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
Keywords
tuberculosis vaccine, DNA vaccine, Mycobacterium tuberculosis, Ag85A, Ag85B, immunogenicity, epitope prediction, B-cell epitopes, CTL epitopes, TLR4, MHC binding, Th1/Th17 response, latent tuberculosis infection, vaccine design
MeSH terms
Immunogenicity, Vaccine, Animals, Antigens, Bacterial, Female, Humans, Mycobacterium tuberculosis, Tuberculosis, Epitopes, T-Lymphocyte, Epitopes, B-Lymphocyte, Computational Biology, Vaccines, DNA, Tuberculosis Vaccines, Mice, Molecular Docking Simulation

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