Intranasal S-2P and lentinan formulation confers broad protection against SARS-CoV-2 VOCs via IFN-γ-dominant mechanisms

Effective respiratory mucosal vaccines remain urgently needed to mitigate the rapid mutation and transmission of SARS-CoV-2. Here, we demonstrated that the spike protein (S-2P) of ancestral SARS-CoV-2 acted as a self-adjuvanted antigen for intranasal immunization, inducing robust systemic and mucosal immunity via integrin- and STING-dependent pathways. In contrast, H1N1 influenza hemagglutinin (HA) failed to generate measurable serum IgG or mucosal IgA following intranasal immunization. In mice, intranasal S-2P vaccination conferred complete protection against lethal ancestral SARS-CoV-2 challenge and partial cross-protection against heterologous Omicron variants, with both effects being IFN-γ- and CD8 + T cell-dependent. Co-administration of S-2P with the clinical immunomodulator lentinan (LNT) achieved complete protection against Omicron variants, mediated by IFN-γ but largely independent of CD8 + T cells. These findings establish S-2P + LNT as a safe, broad-spectrum mucosal vaccine candidate against emerging SARS-CoV-2 variants and reveal novel protection mechanisms beyond neutralizing antibodies and T cell immunity.

Authors

Institutions

Publication Details

Journal
npj Vaccines
Published
2026-01-29
DOI
https://doi.org/10.1038/s41541-026-01383-2
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Intranasal S-2P and lentinan formulation confers broad protection against SARS-CoV-2 VOCs via IFN-γ-dominant mechanisms

Wanda Tang, Cuiling Ding, Congcong Zhang, Haoran Peng et al.
npj Vaccines
SARS-CoV-2 and COVID-19 Research
article

Intranasal S-2P and lentinan formulation confers broad protection against SARS-CoV-2 VOCs via IFN-γ-dominant mechanisms

Wanda Tang, Cuiling Ding, Congcong Zhang, Haoran Peng, Jianqing Xu, Wen Wang, Ping Zhao, Liangliang Jiang, Yan Liu, Dawei Wang, Yanhua He, Zhendong Pan, Zhongtian Qi, Xiaoyan Zhang, Yangang Liu, Xu Zheng
article en

Abstract

Effective respiratory mucosal vaccines remain urgently needed to mitigate the rapid mutation and transmission of SARS-CoV-2. Here, we demonstrated that the spike protein (S-2P) of ancestral SARS-CoV-2 acted as a self-adjuvanted antigen for intranasal immunization, inducing robust systemic and mucosal immunity via integrin- and STING-dependent pathways. In contrast, H1N1 influenza hemagglutinin (HA) failed to generate measurable serum IgG or mucosal IgA following intranasal immunization. In mice, intranasal S-2P vaccination conferred complete protection against lethal ancestral SARS-CoV-2 challenge and partial cross-protection against heterologous Omicron variants, with both effects being IFN-γ- and CD8 + T cell-dependent. Co-administration of S-2P with the clinical immunomodulator lentinan (LNT) achieved complete protection against Omicron variants, mediated by IFN-γ but largely independent of CD8 + T cells. These findings establish S-2P + LNT as a safe, broad-spectrum mucosal vaccine candidate against emerging SARS-CoV-2 variants and reveal novel protection mechanisms beyond neutralizing antibodies and T cell immunity.

npj VaccinesVol. 11(1)
Naval University of Engineering (CN), Shanghai Public Health Clinical Center (CN), Shanghai Tenth People's Hospital (CN)
National Natural Science Foundation of China, Tongji University, Shanghai Pulmonary Hospital, Major Research Plan
Good health and well-being
Openalex Percentile: Top 71%
SARS-CoV-2 and COVID-19 Research
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.