Influenza mRNA vaccine with engineered panhandle-forming UTRs provides potent, dose-sparing protection against seasonal influenza viruses

Influenza viruses pose a persistent threat to global public health, causing widespread respiratory illness and significant morbidity. Vaccination remains the most effective strategy to reduce the burden of both seasonal and pandemic influenza. mRNA vaccines represent a promising alternative to conventional vaccine platforms due to their rapid development, flexibility, and high efficacy. Nonetheless, optimizing non-coding regulatory elements such as untranslated regions (UTRs) remains crucial for enhancing mRNA vaccine performance. In this study, we designed a novel UTR derived from the influenza A virus M segment, engineered to form optimal panhandle structures through selective base-pair enhancing mutations (M1 + 2), aiming to improve mRNA translation efficiency and immunogenicity. Using both reporter and HA antigen-encoding mRNAs, we demonstrated that the M1 + 2 UTR significantly enhanced protein expression in vitro and in vivo compared to unmodified UTRs and the canonical α-globin UTR control. In a murine model, low-dose (0.1 μg) vaccination with HA mRNA-lipid nanoparticles (LNPs) incorporating the M1 + 2 UTR elicited robust innate, humoral, and T cell-mediated immune responses, and conferred complete protection against lethal challenge with seasonal influenza strains, including H1N1, H3N2, and IBV. Our findings underscore the potential of rational UTR design in developing more efficacious and dose-sparing mRNA vaccines.

Authors

Institutions

Publication Details

Journal
npj Vaccines
Published
2026-04-27
DOI
https://doi.org/10.1038/s41541-026-01463-3
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influenza mRNA vaccine with engineered panhandle-forming UTRs provides potent, dose-sparing protection against seasonal influenza viruses

Xuehua Wan, Benchi Li, Zhiliang Hu, Yongxiang Yi et al.
npj Vaccines
Influenza Virus Research Studies
article

Influenza mRNA vaccine with engineered panhandle-forming UTRs provides potent, dose-sparing protection against seasonal influenza viruses

Xuehua Wan, Benchi Li, Zhiliang Hu, Yongxiang Yi, J X Li, Mingzhuo Chen, Qian Weng, Yifan Xu, Qin Wang
article en

Abstract

Influenza viruses pose a persistent threat to global public health, causing widespread respiratory illness and significant morbidity. Vaccination remains the most effective strategy to reduce the burden of both seasonal and pandemic influenza. mRNA vaccines represent a promising alternative to conventional vaccine platforms due to their rapid development, flexibility, and high efficacy. Nonetheless, optimizing non-coding regulatory elements such as untranslated regions (UTRs) remains crucial for enhancing mRNA vaccine performance. In this study, we designed a novel UTR derived from the influenza A virus M segment, engineered to form optimal panhandle structures through selective base-pair enhancing mutations (M1 + 2), aiming to improve mRNA translation efficiency and immunogenicity. Using both reporter and HA antigen-encoding mRNAs, we demonstrated that the M1 + 2 UTR significantly enhanced protein expression in vitro and in vivo compared to unmodified UTRs and the canonical α-globin UTR control. In a murine model, low-dose (0.1 μg) vaccination with HA mRNA-lipid nanoparticles (LNPs) incorporating the M1 + 2 UTR elicited robust innate, humoral, and T cell-mediated immune responses, and conferred complete protection against lethal challenge with seasonal influenza strains, including H1N1, H3N2, and IBV. Our findings underscore the potential of rational UTR design in developing more efficacious and dose-sparing mRNA vaccines.

npj Vaccines
Nanjing University of Chinese Medicine (CN), Nanjing Drum Tower Hospital (CN), Jiangsu Provincial Center for Disease Control and Prevention (CN), Nanjing Medical University (CN)
Sun Yat-sen University, Government of Jiangsu Province, Yangzhou University
Good health and well-being
Openalex Percentile: Top 6%
Influenza Virus Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.