Background: Nipah virus (NiV), a zoonotic paramyxovirus with high case fatality and pandemic potential, remains without a licensed vaccine for humans to date. Although there has been progress in vaccine development, it remains limited, and peptide vaccines have rarely been validated in vivo.
Methods: Here, we report the rational antigen selection, synthesis, and preliminary immunogenicity evaluation of NiV fusion glycoprotein (NiV-F)-derived linear peptides as vaccine candidates. Candidate epitopes were identified by in silico, and a total of 18 B- and T-cell epitope-derived peptides were shortlisted for synthesis and antigenicity validation by ELISA.
Results: Antigenicity evaluation showed that 9 of the synthesized peptides have A
450nm of over 1 (8 from the F11 group, A
450nm: 1.13–3.6; 1 from the F18 group, A
450nm: 1.51), with the peptide constructs F11-3 (A
450nm: 3.5) and F11-4 (A
450nm: 3.6) showing the highest antigenicity. Interestingly, peptides from F11 with amidation increased antibody binding (F11-4-NH2, A
450nm: 3.05; F11-4-9mer-1-NH2, A
450nm: 0.87). The lead peptide candidates, F11-3 and F11-4, were subsequently used for the immunization experiment, and mouse sera were assessed against their homologous peptide antigens or recombinant NiV-F protein. ELISA result showed detectable antibody reactivity against their homologous antigen for the intramuscular (IM) F11-3 vaccinated group (A
450nm: 0.30 ± 0.35), whereas increased binding was observed for both IM-administered F11-3 (A
450nm: 1.62 ± 0.97) and F11-4 (A
450nm: 2.0 ± 0.77) against NiV-F protein, albeit without statistical significance compared to the negative control (NC,
p > 0.05), and were markedly lower compared to mice immunized with NiV-F recombinant protein (PC,
p < 0.01), underscoring the need for further optimization procedures.
Conclusions: Collectively, these results support an exploratory antigen discovery and prioritization framework for NiV-F-derived peptide candidates and provide a foundation for future studies aimed at optimizing immunogenicity and evaluating protective relevance in appropriate preclinical models.
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