T cell epitope based vaccine design while targeting outer capsid proteins of rotavirus strains infecting neonates: an immunoinformatics approach

Immunoinformatics-driven design of a multi-epitope vaccine targeting neonatal rotavirus with focus on outer capsid proteins VP4 and VP7 and non structural proteins NSP2 and NSP5

Rotaviral gastroenteritis remains a major global health concern, particularly for infants and young children under five years old. Prior to the introduction of the WHO-prequalified rotavirus vaccine, rotavirus (RV) was responsible for approximately 800,000 child deaths annually in developing countries. Although vaccination efforts have reduced this number, RV still causes around 200,000 child deaths each year worldwide. The current WHO-prequalified vaccines are live attenuated and offer limited efficacy of 40-60%, with a slight risk of intussusception in young children. To overcome these limitations, we employed immunoinformatics to design a novel multi-epitope vaccine (MEV) targeting rotavirus outer capsid proteins VP4 and VP7, as well as crucial non-structural proteins NSP2 and NSP5. The RV-MEV incorporates 10 epitopes, including 4 CD8 + T-cell, 5 CD4 + T-cell, and 1 B-cell epitope, all of which are antigenic, non-allergenic, and non-toxic. These epitopes also showed potential to induce interferon-γ (IFN-γ). Molecular simulation studies confirmed stable interactions between RV-MEV and human TLR5 and integrin αvβ5 complexes. The RV-MEV was successfully cloned into a pET28a(+) vector during in-silico cloning. Immune simulation studies predict a strong immune response to the RV-MEV. Future in vitro and in vivo studies are necessary to validate the vaccine's effectiveness in providing protection against various rotavirus strains in neonates.

Biotechnological Interventions for the Production of Subunit Vaccines Against Group A Rotavirus

Group A rotavirus (RVA) is a major cause of severe gastroenteritis in infants and young children globally, despite the availability of live-attenuated vaccines. Challenges such as limited efficacy in low-income regions, safety concerns for immunocompromised individuals, and cold-chain dependency necessitate alternative vaccine strategies. Subunit vaccines, which use specific viral proteins to elicit immunity, provide a safer and more adaptable approach. This review highlights biotechnological advancements in producing subunit vaccines, focusing on recombinant expression systems like bacterial, yeast, insect, mammalian, and plant-based platforms for scalable and cost-effective production of viral proteins. Key innovations include molecular engineering, adjuvant development, and delivery system improvements to enhance vaccine immunogenicity and efficacy. Subunit vaccines and virus-like particles expressed in various systems have demonstrated promising preclinical and clinical results, with some candidates nearing commercial readiness. Reverse vaccinology, combined with Artificial Intelligence and Machine Learning, is driving the development of innovative multiepitope vaccines and antivirals. Strategies such as passive immunization, single-chain antibodies, immunobiotics, and novel antivirals are also explored as alternative management options. The review also underscores advanced genome editing and reverse genetics approaches to improve vaccine design and antiviral therapies. These biotechnological interventions offer hope for equitable and effective control of rotavirus diarrhea, particularly in resource-limited settings, and represent significant progress toward addressing current vaccine limitations.

Immunoinformatics and computational approaches driven designing a novel vaccine candidate against Powassan virus

Powassan virus (POWV) is an arthropod-borne virus (arbovirus) capable of causing severe illness in humans for severe neurological complications, and its incidence has been on the rise in recent years due to climate change, posing a growing public health concern. Currently, no vaccines to prevent or medicines to treat POWV disease, emphasizing the urgent need for effective countermeasures. In this study, we utilize bioinformatics approaches to target proteins of POWV, including the capsid, envelope, and membrane proteins, to predict diverse B-cell and T-cell epitopes. These epitopes underwent screening for critical properties such as antigenicity, allergenicity, toxicity, and cytokine induction potential. Eight selected epitopes were then conjugated with adjuvants using various linkers, resulting in designing of a potentially stable and immunogenic vaccine candidate against POWV. Moreover, molecular docking, molecular dynamics simulations, and immune simulations revealed a stable interaction pattern with the immune receptor, suggesting the vaccine's potential to induce robust immune responses. In conclusion, our study provided a set of derived epitopes from POWV's proteins, demonstrating the potential for a novel vaccine candidate against POWV. Further in vitro and in vivo studies are warranted to advance our efforts and move closer to the goal of combatting POWV and related arbovirus infections.

In silico design of a broad-spectrum multiepitope vaccine against influenza virus

Influenza remains a global health concern due to its potential to cause pandemics as a result of rapidly mutating influenza virus strains. Existing vaccines often struggle to keep up with these rapidly mutating flu viruses. Therefore, the development of a broad-spectrum peptide vaccine that can stimulate an optimal antibody response has emerged as an innovative approach to addressing the influenza threat. In this study, an immunoinformatic approach was employed to rapidly predict immunodominant epitopes from different antigens, aiming to develop an effective multiepitope influenza vaccine (MEV). The immunodominant B-cell linear epitopes of seasonal influenza strains hemagglutinin (HA) and neuraminidase (NA) were predicted using an antibody-peptide microarray, involving a human cohort including vaccinees and infected patients. On the other hand, bioinformatics tools were used to predict immunodominant cytotoxic T-cell (CTL) and helper T-cell (HTL) epitopes. Subsequently, these epitopes were evaluated by various immunoinformatic tools. Epitopes with high antigenicity, high immunogenicity, non-allergenicity, non-toxicity, as well as exemplary conservation were then connected in series with appropriate linkers and adjuvants to construct a broad-spectrum MEV. Moreover, the structural analysis revealed that the MEV candidates exhibited good stability, and the docking results demonstrated their strong affinity to Toll-like receptors 4 (TLR4). In addition, molecular dynamics simulation confirmed the stable interaction between TLR4 and MEVs. Three injections with MEVs showed a high level of B-cell and T-cell immune responses according to the immunological simulations in silico. Furthermore, in-silico cloning was performed, and the results indicated that the MEVs could be produced in considerable quantities in Escherichia coli (E. coli). Based on these findings, it is reasonable to create a broad-spectrum MEV against different subtypes of influenza A and B viruses in silico.