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Vaccine Strategies Against RNA Viruses: Current Advances and Future Directions.

作者信息

Hsiung Kuei-Ching, Chiang Huan-Jung, Reinig Sebastian, Shih Shin-Ru

机构信息

Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.

Graduate Institute of Biomedical Science, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.

出版信息

Vaccines (Basel). 2024 Nov 28;12(12):1345. doi: 10.3390/vaccines12121345.


DOI:10.3390/vaccines12121345
PMID:39772007
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11679499/
Abstract

The development of vaccines against RNA viruses has undergone a rapid evolution in recent years, particularly driven by the COVID-19 pandemic. This review examines the key roles that RNA viruses, with their high mutation rates and zoonotic potential, play in fostering vaccine innovation. We also discuss both traditional and modern vaccine platforms and the impact of new technologies, such as artificial intelligence, on optimizing immunization strategies. This review evaluates various vaccine platforms, ranging from traditional approaches (inactivated and live-attenuated vaccines) to modern technologies (subunit vaccines, viral and bacterial vectors, nucleic acid vaccines such as mRNA and DNA, and phage-like particle vaccines). To illustrate these platforms' practical applications, we present case studies of vaccines developed for RNA viruses such as SARS-CoV-2, influenza, Zika, and dengue. Additionally, we assess the role of artificial intelligence in predicting viral mutations and enhancing vaccine design. The case studies underscore the successful application of RNA-based vaccines, particularly in the fight against COVID-19, which has saved millions of lives. Current clinical trials for influenza, Zika, and dengue vaccines continue to show promise, highlighting the growing efficacy and adaptability of these platforms. Furthermore, artificial intelligence is driving improvements in vaccine candidate optimization and providing predictive models for viral evolution, enhancing our ability to respond to future outbreaks. Advances in vaccine technology, such as the success of mRNA vaccines against SARS-CoV-2, highlight the potential of nucleic acid platforms in combating RNA viruses. Ongoing trials for influenza, Zika, and dengue demonstrate platform adaptability, while artificial intelligence enhances vaccine design by predicting viral mutations. Integrating these innovations with the One Health approach, which unites human, animal, and environmental health, is essential for strengthening global preparedness against future RNA virus threats.

摘要

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引用本文的文献

[1]
Humoral and Memory B Cell Responses Following SARS-CoV-2 Infection and mRNA Vaccination.

Vaccines (Basel). 2025-7-28

[2]
mRNA vaccine platforms: linking infectious disease prevention and cancer immunotherapy.

Front Bioeng Biotechnol. 2025-3-12

本文引用的文献

[1]
Mapping the immunopeptidome of seven SARS-CoV-2 antigens across common HLA haplotypes.

Nat Commun. 2024-8-30

[2]
Estimated number of lives directly saved by COVID-19 vaccination programmes in the WHO European Region from December, 2020, to March, 2023: a retrospective surveillance study.

Lancet Respir Med. 2024-9

[3]
Mucosal immunization with ChAd-SARS-CoV-2-S prevents sequential transmission of SARS-CoV-2 to unvaccinated hamsters.

Sci Adv. 2024-8-2

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Multi-antigen intranasal vaccine protects against challenge with sarbecoviruses and prevents transmission in hamsters.

Nat Commun. 2024-7-23

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Specific long-term changes in anti-SARS-CoV-2 IgG modifications and antibody functions in mRNA, adenovector, and protein subunit vaccines.

J Med Virol. 2024-7

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Combined COVID-flu vaccines are coming: Moderna jab clears major test.

Nature. 2024-6-28

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AI and immunology.

Immunity. 2024-6-11

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Front Immunol. 2024

[9]
Accurate structure prediction of biomolecular interactions with AlphaFold 3.

Nature. 2024-6

[10]
Contribution of vaccination to improved survival and health: modelling 50 years of the Expanded Programme on Immunization.

Lancet. 2024-5-25

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