A TLR7-nanoparticle adjuvant promotes a broad immune response against heterologous strains of influenza and SARS-CoV-2.
Qian YinWei LuoVenkata Vamsee Aditya MallajosyulaYang BoJing GuoJinghang XieMeng SunRohit VermaChunfeng LiChristian M ConstantzLisa E WagarJing LiElsa SolaNeha GuptaChunlin WangOliver KaskXin ChenXue YuanNicholas C WuJianghong RaoYueh-Hsiu ChienJianjun ChengBali PulendranMark M DavisPublished in: Nature materials (2023)
The ideal vaccine against viruses such as influenza and SARS-CoV-2 must provide a robust, durable and broad immune protection against multiple viral variants. However, antibody responses to current vaccines often lack robust cross-reactivity. Here we describe a polymeric Toll-like receptor 7 agonist nanoparticle (TLR7-NP) adjuvant, which enhances lymph node targeting, and leads to persistent activation of immune cells and broad immune responses. When mixed with alum-adsorbed antigens, this TLR7-NP adjuvant elicits cross-reactive antibodies for both dominant and subdominant epitopes and antigen-specific CD8 + T-cell responses in mice. This TLR7-NP-adjuvanted influenza subunit vaccine successfully protects mice against viral challenge of a different strain. This strategy also enhances the antibody response to a SARS-CoV-2 subunit vaccine against multiple viral variants that have emerged. Moreover, this TLR7-NP augments antigen-specific responses in human tonsil organoids. Overall, we describe a nanoparticle adjuvant to improve immune responses to viral antigens, with promising implications for developing broadly protective vaccines.
Keyphrases
- sars cov
- toll like receptor
- immune response
- nuclear factor
- early stage
- inflammatory response
- dendritic cells
- respiratory syndrome coronavirus
- lymph node
- endothelial cells
- iron oxide
- cancer therapy
- drug delivery
- gene expression
- induced pluripotent stem cells
- insulin resistance
- skeletal muscle
- sentinel lymph node
- metabolic syndrome
- protein kinase
- pluripotent stem cells
- squamous cell carcinoma
- genetic diversity