期刊
JOURNAL OF CONTROLLED RELEASE
卷 335, 期 -, 页码 449-456出版社
ELSEVIER
DOI: 10.1016/j.jconrel.2021.05.024
关键词
SARS-CoV-2; mRNA vaccines; Receptor-binding domain; Liposomes; Administration route
资金
- National Key S&T Special Projects [2018ZX09201018024]
- Sichuan Province Science and Technology Support Program [21GJHZ0241, 2020YFS0008]
This study developed a liposome-based RBD-mRNA vaccine and examined the impact of different administration routes on immunogenicity. The vaccine successfully induced specific antibodies against SARS-CoV-2 RBD in mice, and the neutralizing capacity against SARS-CoV-2 pseudovirus was efficient. The results showed that administration routes influenced virus neutralization and types of immune responses, suggesting the potential of this vaccine against SARS-CoV-2 with good efficacy and safety.
COVID-19 pandemic has resulted in an unprecedented global public health crisis. It is obvious that SARS-CoV-2 vaccine is needed to control the global COVID-19 public health crisis. Since obvious advantages including fast manufacturing speed, potent immunogenicity and good safety profile, six mRNA vaccines have been used to prevent SARS-CoV-2 infections in clinic with lipid nanoparticles (LNP) formulation via intramuscular injection. In this work, we first constructed RBD-encoding mRNA (RBD-mRNA) formulated in liposomes (LPX/RBD-mRNA) and investigated the influence of administration routes on the immunogenicity. LPX/RBD-mRNA can express RBD in vivo and successfully induced SARS-CoV-2 RBD specific antibodies in the vaccinated mice, which efficiently neutralized SARS-CoV-2 pseudotyped virus. Moreover, the administration routes were found to affect the virus neutralizing capacity of sera derived from the immunized mice and the types (Th1-type and Th2-type) of cellular immune responses. This study indicated that liposome-based RBD-mRNA vaccine with optimal administration route might be a potential candidate against SARS-CoV-2 infection with good efficacy and safety.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据