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DOI 10.3390/pathogens15030297

Медицинская библиотека · Pathogens (Basel, Switzerland) · 2026

Immunoinformatic Design and Evaluation of a Multi-Epitope mRNA Vaccine RP14914P Targeting Latent Tuberculosis Infection.

Tian Yuan, Zhang Mingming, Ali Syed Luqman, Abduldayeva Aigul, Zhou Shuang, An Yajing, Li Yufeng, Ni Ruizi, Zhang Lingxia, Liu Yanhua, Sun Weiguo, Gong Wenping

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Аннотация

Background

Latent tuberculosis infection (LTBI) is the principal reservoir for active tuberculosis, with >85% of cases attributable to reactivation. Bacillus Calmette-Guérin fails to block this transition, leaving a critical gap in prevention.

Methods

An immunoinformatics/reverse-vaccinology pipeline was applied to seven dormancy-related antigens retrieved from Mycobrowser. T-cell epitopes were predicted with NetMHCI/IIpan-4.1 and B-cell epitopes with ABCpred; antigenicity, allergenicity, and toxicity were evaluated with VaxiJen, AllerTOP, and ToxinPred. Secondary/tertiary structures were modeled with PSIPRED and AlphaFold-3; docking to Toll-like receptors (TLR) 2/4 and 100 ns molecular dynamics simulations assessed complex stability. Immune responses were simulated with C-ImmSim, and the mRNA sequence was human-codon-optimized using ExpOptimizer.

Results

The resulting construct, RP14914P, encodes 14 cytotoxic T lymphocyte, 9 helper T lymphocyte, and 14 B-cell epitopes within an 866-aa, 90.4 kDa polypeptide. Antigenicity score = 0.7797, immunogenicity score = 8.58629. and no toxicity or allergenicity was predicted. Physicochemical analysis: instability index = 28.65, and solubility = 0.513. Estimated population coverage is 82.35% and 99.67% for Human Leukocyte Antigen (HLA)-I and HLA-II globally. Docking energies: -1477.8 kcal/mol (TLR2) and -1480.1 kcal/mol (TLR4). Molecular dynamics trajectories confirm stable binding. Immune simulation predicts potent activation of Natural Killer cells, macrophages, and dendritic cells, Th1 polarization, high interferon-γ/interleukin-2 secretion, and durable memory.

Conclusions

In silico analyses predict that RP14914P exhibits favorable immunogenicity, safety, and broad population coverage, suggesting its potential as a promising mRNA vaccine candidate to prevent LTBI reactivation. However, these computational predictions require thorough experimental validation to confirm the vaccine's immunogenicity and protective efficacy.

Для цитирования: Tian Yuan, Zhang Mingming, Ali Syed Luqman, Abduldayeva Aigul, Zhou Shuang, An Yajing, Li Yufeng, Ni Ruizi, Zhang Lingxia, Liu Yanhua, Sun Weiguo, Gong Wenping. Immunoinformatic Design and Evaluation of a Multi-Epitope mRNA Vaccine RP14914P Targeting Latent Tuberculosis Infection.. Pathogens (Basel, Switzerland). 2026. DOI: 10.3390/pathogens15030297.

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