Reverse vaccinology-driven construction and bioinformatics validation of a multi-epitope vaccine against Brucella spp.

Brucella spp., the causative agent of zoonotic brucellosis, poses a significant threat to both animal husbandry and human health. Given the limitations of current antibiotic treatments for human brucellosis, there is an urgent need to develop effective human vaccines. Using reverse vaccinology and bioinformatics approaches, we designed a multi-epitope vaccine (MEV) specifically targeting the CcmA, ccmC, and BepC membrane proteins, with the aim of providing robust protection against human infection.We screened 11 CTL, 9 HTL, 2 conformational B cell epitopes, and 9 linear B cell epitopes, linked them with GGGS,GPGPG and KK. and incorporated HMGN1 (high mobility group nucleosome binding protein 1) as an adjuvant and PADRE (a universal HTL epitope to enhance cross-population immunogenicity) to boost immunogenicity. Analyses showed the 638-amino-acid MEV had high antigenicity (1.2542, exceeded the threshold of 0.4), was non-toxic(ToxinPred2) and non-allergenic(AllergenFP), had low human homology(BLASTP e-value < 0.005), Instability index 26.80 (< 40),and good solubility(0.896, > 0.5).Molecular docking and dynamics confirmed its stability. Codon optimization for E. coli enhanced expression potential. Immunoinformatics simulations showed the MEV effectively increased antibody level,T cell counts, and proinflammatory cytokines.In conclusion, the MEV shows promise for brucellosis vaccine development. To fully assess its efficacy and safety, a series of in vivo experiments will be conducted using animal models, which will serve as a critical step towards validating its potential as a viable vaccine candidate.

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Publication Details

Journal
Scientific Reports
Published
2025-10-21
DOI
https://doi.org/10.1038/s41598-025-20507-7
Citations
1
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.81

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article

Reverse vaccinology-driven construction and bioinformatics validation of a multi-epitope vaccine against Brucella spp.

Fengbo Zhang, Yuejie Zhu, Zhenglong Chai, Huidong Shi et al.
1 citations
Scientific Reports
vaccines and immunoinformatics approaches
0.81
article

Reverse vaccinology-driven construction and bioinformatics validation of a multi-epitope vaccine against Brucella spp.

Fengbo Zhang, Yuejie Zhu, Zhenglong Chai, Huidong Shi, Tingting Tian, Xin Qi, Chuang Li, Kaiyu Shang, Jia Luo, Rui Li
article en
1 citations

Abstract

Brucella spp., the causative agent of zoonotic brucellosis, poses a significant threat to both animal husbandry and human health. Given the limitations of current antibiotic treatments for human brucellosis, there is an urgent need to develop effective human vaccines. Using reverse vaccinology and bioinformatics approaches, we designed a multi-epitope vaccine (MEV) specifically targeting the CcmA, ccmC, and BepC membrane proteins, with the aim of providing robust protection against human infection.We screened 11 CTL, 9 HTL, 2 conformational B cell epitopes, and 9 linear B cell epitopes, linked them with GGGS,GPGPG and KK. and incorporated HMGN1 (high mobility group nucleosome binding protein 1) as an adjuvant and PADRE (a universal HTL epitope to enhance cross-population immunogenicity) to boost immunogenicity. Analyses showed the 638-amino-acid MEV had high antigenicity (1.2542, exceeded the threshold of 0.4), was non-toxic(ToxinPred2) and non-allergenic(AllergenFP), had low human homology(BLASTP e-value < 0.005), Instability index 26.80 (< 40),and good solubility(0.896, > 0.5).Molecular docking and dynamics confirmed its stability. Codon optimization for E. coli enhanced expression potential. Immunoinformatics simulations showed the MEV effectively increased antibody level,T cell counts, and proinflammatory cytokines.In conclusion, the MEV shows promise for brucellosis vaccine development. To fully assess its efficacy and safety, a series of in vivo experiments will be conducted using animal models, which will serve as a critical step towards validating its potential as a viable vaccine candidate.

Scientific ReportsVol. 15(1)
Xinjiang Medical University (CN), First Affiliated Hospital of Xinjiang Medical University (CN)
National Natural Science Foundation of China, Xinjiang Medical University
Openalex Percentile: Top 22%
vaccines and immunoinformatics approaches
0.81
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