Lysosome-targeting live attenuated influenza vaccines elicit robust and broad immunity in mice
Year: 2026
Type: article
Abstract: The lysosome is a cell’s endogenous machinery responsible for degrading proteins. Here we describe two lysosome-targeting live attenuated vaccine approaches, LYTAR 1.0 and LYTAR 2.0, by harnessing the lysosome to conditionally degrade viral proteins of influenza virus. LYTAR 1.0 incorporates a conditionally removable lysosome-targeting motif at the N- or C-terminus of viral proteins. LYTAR 2.0 allows flexible placement of lysosome-targeting motifs at internal or terminal sites of viral proteins. The resulting lysosome-targeting vaccine strains are attenuated by lysosome-mediated viral protein degradation in conventional cells, while maintaining replication efficiencies comparable to the wild-type virus in producer cell lines. In mouse models, these vaccine candidates are attenuated, induce strong and broad adaptive immune responses, and provide cross-reactive protection against H1N1 and H3N2 influenza viral challenges. This study establishes a lysosome-targeting vaccine platform for developing safe and effective live attenuated vaccines. Host cell protein degradation machinery including the lysosome is involved in the processing and degradation of protein antigens. Here the authors develop lysosomal targeting vaccine approaches and test these in murine models of influenza infection.
Source: Nature Communications
Institutions: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen Institute of Synthetic Biology, University of Chinese Academy of Sciences, University of Chieti-Pescara, Harvard University, Wyss Institute for Biologically Inspired Engineering, Peking University, State Key Laboratory of Natural and Biomimetic Drugs, Shenzhen Bay Laboratory
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $6,990
Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, China Postdoctoral Science Foundation, National Science and Technology Major Project, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Basic and Applied Basic Research Foundation of Guangdong Province
Awards: G2837453184, G5642945227
OpenAlex ID: W7138985147
