In silico design of a multi-epitope vaccine targeting human immunodeficiency virus−tuberculosis co-infection: A reverse vaccinology approach to synergistic pathogenesis

Authors

  • Nabil Athoillah University of Jember, Jember, Indonesia
  • Muhammad Irsyad Amien University of Jember, Jember, Indonesia
  • Saski Yasmin Alfina University of Jember, Jember, Indonesia
  • Ichlasul Mahdi Fardhani University of Jember, Jember, Indonesia
  • Irsyad Lutfi Elfahmi University of Jember, Jember, Indonesia
  • Putri Ayu Ardiani University of Jember, Jember, Indonesia
  • Mukhammad Arif Hadi Khoiruddin University of Jember, Jember, Indonesia
  • Mohammad Alifi Agfareza University of Gadjah Mada, Yogyakarta, Indonesia
  • Mitsla Chusnica Aulia As’ar University of Papua, Sorong, Indonesia
  • Angga Mardro Raharjo Faculty of Medicine, University of Jember, Jember, Indonesia
  • Atika Purnama Sari Faculty of Medicine, University of Jember, Jember, Indonesia

Keywords:

Co-infection, human immunodeficiency virus, immunoinformatics, multi-epitope vaccine, tuberculosis

Abstract

Background: The synergism between Mycobacterium tuberculosis (Mtb) and human immunodeficiency virus (HIV) represents a global health crisis, where co-infection significantly accelerates immune failure and exacerbates mortality rates.

Objective: This study aimed to design in silico a novel multi-epitope vaccine predicted to stimulate robust, long-lasting, and concurrent immune protection against Mtb and HIV.

Methods: This reverse vaccinology study followed a multi-level immunoinformatic approach. We predicted cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL), and linear B-cell (LBL) epitopes. Each was tested for its ability to induce an immune response without evoking allergic or toxic reactions. Select epitopes were combined into a multi-epitope vaccine construct bearing adjuvants and linkers. It was analyzed for physicochemical characteristics, solubility, structural modeling, molecular docking with Toll-Like Receptor 4 (TLR 4), and stability. Immune simulations, codon optimization, and in silico cloning helped assess immunogenicity and establish expression potential.

Results: Proteomics prioritized 23 epitopes—11 CTL, 5 HTL, and 7 LBL. Each demonstrated high antigenicity, non-allergenicity, and non-toxicity. The final vaccine construct exhibited superior stability in normal mode analysis and strong binding affinity for TLR4, as evidenced by low-energy docking scores. Immune simulations predicted a robust secondary immune response, characterized by significant increases in antibody titers, B-cell memory, and the release of Th1-polarized cytokines: IFN-gamma and Interleukin-2. The global HLA population coverage was estimated at 99.3%, indicating broad-spectrum protective potential.

Conclusion: The multi-epitope vaccine designed here exhibited high predicted stability, safety, and robust in silico immunogenic potential. Overall, this construct is a promising candidate for a unified preventive strategy against HIV−TB co-infection, warranting further experimental validation in pre-clinical settings.

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Published

2026-11-04

How to Cite

1.
Athoillah N, Irsyad Amien M, Yasmin Alfina S, Mahdi Fardhani I, Lutfi Elfahmi I, Ayu Ardiani P, et al. In silico design of a multi-epitope vaccine targeting human immunodeficiency virus−tuberculosis co-infection: A reverse vaccinology approach to synergistic pathogenesis. Chula Med J [Internet]. 2026 Nov. 4 [cited 2026 Nov. 8];. Available from: https://he05.tci-thaijo.org/index.php/CMJ/article/view/8575

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