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Universal M2 ectodomain-based influenza A vaccines: preclinical and clinical developments

Open access
Schotsaert, Michael, De Filette, Marina, Fiers, Walter, Saelens, Xavier·2009·Expert Review of Vaccines

Abstract

Influenza vaccines used today are strain specific and need to be adapted every year to try and match the antigenicity of the virus strains that are predicted to cause the next epidemic. The strain specificity of the next pandemic is unpredictable. An attractive alternative approach would be to use a vaccine that matches multiple influenza virus strains, including multiple subtypes. In this review, we focus on the development and clinical potential of a vaccine that is based on the conserved ectodomain of matrix protein 2 (M2) of influenza A virus. Since 1999, a number of studies have demonstrated protection against influenza A virus challenge in animal models using chemical or genetic M2 external domain (M2e) fusion constructs. More recently, Phase I clinical studies have been conducted with M2e vaccine candidates, demonstrating their safety and immunogenicity in humans. Ultimately, and possibly in the near future, efficacy studies in humans should provide proof that this novel vaccine concept can mitigate epidemic and even pandemic influenza A virus infections.

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Metadata

Authors
Schotsaert, M., De Filette, M., Fiers, W., & Saelens, X.
Venue
Expert Review of Vaccines
Published
2009-04-01
Volume
8
Issue
4
Pages
499-508
ISSN
  • 1476-0584 (ISSN-L)
  • 1744-8395
OpenAlex
W2136323284
Cited by
195
References
0
FWCI
14.19
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Universal M2 ectodomain-based influenza A vaccines: preclinical and clinical developments. https://app.cochat.ai/papers/10.1586/erv.09.6
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Schotsaert, M., De Filette, M., Fiers, W., & Saelens, X. (2009). Universal M2 ectodomain-based influenza A vaccines: preclinical and clinical developments. Expert Review of Vaccines. https://doi.org/10.1586/erv.09.6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.