Validation of Multi-epitope Peptides Encapsulated in PLGA Nanoparticles Against Influenza A Virus

Heng, Wen Tzuen * and Lim, Hui Xuan * and Tan, Kuan Onn * and Poh, Chit Laa * (2023) Validation of Multi-epitope Peptides Encapsulated in PLGA Nanoparticles Against Influenza A Virus. Pharmaceutical Research, 40 (8). pp. 1999-2025. ISSN 0724-8741

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Official URL: https://link.springer.com/article/10.1007/s11095-0...

Abstract

Background: Influenza is a highly contagious respiratory disease which poses a serious threat to public health globally, causing severe diseases in 3-5 million humans and resulting in 650,000 deaths annually. The current licensed seasonal influenza vaccines lacked cross-reactivity against novel emerging influenza strains as they conferred limited neutralising capabilities. To address the issue, we designed a multi-epitope peptide-based vaccine delivered by the self-adjuvanting PLGA nanoparticles against influenza infections. Methods: A total of six conserved peptides representing B- and T-cell epitopes of Influenza A were identified and they were formulated in either incomplete Freund's adjuvant containing CpG ODN 1826 or being encapsulated in PLGA nanoparticles for the evaluation of immunogenicity in BALB/c mice. Results: The self-adjuvanting PLGA nanoparticles encapsulating the six conserved peptides were capable of eliciting the highest levels of IgG and IFN- γ producing cells. In addition, the immunogenicity of the six peptides encapsulated in PLGA nanoparticles showed greater humoral and cellular mediated immune responses elicited by the mixture of six naked peptides formulated in incomplete Freund's adjuvant containing CpG ODN 1826 in the immunized mice. Peptide 3 from the mixture of six peptides was found to exert necrotic effect on CD3+ T-cells and this finding indicated that peptide 3 should be removed from the nanovaccine formulation. Conclusion: The study demonstrated the self-adjuvanting properties of the PLGA nanoparticles as a delivery system without the need for incorporation of toxic and costly conventional adjuvants in multi-epitope peptide-based vaccines.

Item Type: Article
Uncontrolled Keywords: epitopes; nanoparticles; nanovaccine; next generation influenza vaccine; peptides;
Subjects: Q Science > QD Chemistry
Q Science > QR Microbiology
R Medicine > RS Pharmacy and materia medica
Divisions: Sunway University > School of Medical and Life Sciences [formerly School of Healthcare and Medical Sciences until 2020] > Sunway Microbiome Centre [formerly Centre for Virus and Vaccine Research until 2023]
Depositing User: Ms Yong Yee Chan
Related URLs:
Date Deposited: 22 Jul 2024 07:46
Last Modified: 22 Jul 2024 07:46
URI: http://eprints.sunway.edu.my/id/eprint/2833

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