Immunoinformatic Design and Evaluation of a Multi-Epitope mRNA Vaccine RP14914P Targeting Latent Tuberculosis Infection
<b>Background</b>: 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. <b>Methods</b>: 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. <b>Results</b>: 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. <b>Conclusions</b>: 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.
Authors
- Aigul Abduldayeva (ORCID: https://orcid.org/0000-0002-1310-3290)
- Weiguo Sun (ORCID: https://orcid.org/0000-0002-6005-4452)
- Wenping Gong (ORCID: https://orcid.org/0000-0002-9334-0359)
- Shuang Zhou (ORCID: https://orcid.org/0000-0002-2403-7161)
- Yu Tian (ORCID: https://orcid.org/0000-0003-3413-9636)
- Yanhua Liu
- Ruizi Ni
- Yajing An
- Syed Luqman Ali
- Mingming Zhang
- Yufeng Li
- Lingxia Zhang
Institutions
- Hebei North University (CN)
- Abdul Wali Khan University Mardan (PK)
- Chinese PLA General Hospital (CN)
- Astana Medical University (KZ)
- The 309th Hospital of Chinese People's Liberation Army (CN)
Publication Details
- Journal
- Pathogens
- Published
- 2026-03-09
- DOI
- https://doi.org/10.3390/pathogens15030297
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 0.00