Journal article
Enhancing the protection of influenza virus vaccines with BECC TLR4 adjuvant in aged mice
- Abstract:
- AbstractInfluenza A virus (IAV) is a leading cause of respiratory disease worldwide often resulting in severe morbidity and mortality. We have previously shown that the Bacterial Enzymatic Combinatorial Chemistry (BECC) adjuvants, BECC438 and BECC470, formulated with an influenza virus hemagglutinin (HA) protein vaccine, offer greater protection from influenza virus challenge in mouse respiratory models using adult mice than standard HA:adjuvant combinations. In this study, we determined that immunization with HA + BECC adjuvants also significantly broadened the epitopes targeted on HA as compared with other adjuvants, resulting in increased titers of antibodies directed against the highly conserved HA stalk domain. Importantly, we demonstrate that BECC470 combined with an influenza virus HA protein antigen in a prime-only immunization regimen was able to achieve complete protection from challenge in a ~ 12-month-old mouse aged model. Together, this demonstrates the heightened protection provided by the BECC470 adjuvant in an influenza virus vaccine model and shows the enhanced immune response, as compared to other adjuvants elicited by the formulation of HA with BECC470.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.3MB, Terms of use)
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- Publisher copy:
- 10.1038/s41598-023-27965-x
- Publication website:
- https://www.nature.com/articles/s41598-023-27965-x.pdf
Authors
+ National Institutes of Health
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- Funder identifier:
- 10.13039/100000002
- Grant:
- 75N93019C00051
+ National Institute of Allergy and Infectious Diseases
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- Funder identifier:
- 10.13039/100000060
- Grant:
- 75N93019C00051
+ Biomedical Advanced Research and Development Authority
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- Funder identifier:
- 10.13039/100012399
- Grant:
- ASPR-20-01495
- Publisher:
- Nature Research
- Journal:
- Scientific Reports More from this journal
- Volume:
- 13
- Issue:
- 1
- Pages:
- 715-715
- Article number:
- 715
- Publication date:
- 2023-01-13
- DOI:
- EISSN:
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2045-2322
- ISSN:
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2045-2322
- Language:
-
English
- Keywords:
- Pubs id:
-
1327846
- Local pid:
-
pubs:1327846
- Source identifiers:
-
W4315865784
- Deposit date:
-
2026-05-01
- ARK identifier:
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Terms of use
- Copyright date:
- 2023
- Licence:
- CC Attribution (CC BY)
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