Influenza A Virus H7 nanobody recognizes a conserved immunodominant epitope on hemagglutinin head and confers heterosubtypic protection

Influenza remains a persistent global health challenge, largely due to the virus' continuous antigenic drift and occasional shift, which impede the development of a universal vaccine. To address this, the identification of broadly neutralizing antibodies and their epitopes is crucial. Nanobodies, with their unique characteristics and binding capacity, offer a promising avenue to identify such epitopes. Here, we isolate and purify a hemagglutinin (HA)-specific nanobody that recognizes an H7 subtype of influenza A virus. The nanobody, named E10, exhibits broad-spectrum binding, cross-group neutralization and in vivo protection across various influenza A subtypes. Through phage display and in vitro characterization, we demonstrate that E10 specifically targets an epitope on HA head which is part of the conserved lateral patch and is highly immunodominant upon H7 infection. Importantly, immunization with a peptide including the E10 epitope elicits cross-reactive antibodies and mediates partial protection from lethal viral challenge. Our data highlights the potential of E10 and its associated epitope as a candidate for future influenza prevention strategies.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-01-09
DOI
https://doi.org/10.1038/s41467-024-55193-y
Citations
19
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
25.73

Funders

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

Influenza A Virus H7 nanobody recognizes a conserved immunodominant epitope on hemagglutinin head and confers heterosubtypic protection

Yanhong Ji, Michael Lebens, Hsiang‐Chi Huang, Aishe A. Sarshad et al.
19 citations
Nature Communications
Influenza Virus Research Studies
25.73
article

Influenza A Virus H7 nanobody recognizes a conserved immunodominant epitope on hemagglutinin head and confers heterosubtypic protection

Yanhong Ji, Michael Lebens, Hsiang‐Chi Huang, Aishe A. Sarshad, Guohua Deng, Davide Angeletti, Xiangkun Wang, Danica F. Besavilla, Qiyun Zhu, Karin Schön, Yane Jia, Zhao-Shan Chen, Janarthan R. Murti
article en
19 citations

Abstract

Influenza remains a persistent global health challenge, largely due to the virus' continuous antigenic drift and occasional shift, which impede the development of a universal vaccine. To address this, the identification of broadly neutralizing antibodies and their epitopes is crucial. Nanobodies, with their unique characteristics and binding capacity, offer a promising avenue to identify such epitopes. Here, we isolate and purify a hemagglutinin (HA)-specific nanobody that recognizes an H7 subtype of influenza A virus. The nanobody, named E10, exhibits broad-spectrum binding, cross-group neutralization and in vivo protection across various influenza A subtypes. Through phage display and in vitro characterization, we demonstrate that E10 specifically targets an epitope on HA head which is part of the conserved lateral patch and is highly immunodominant upon H7 infection. Importantly, immunization with a peptide including the E10 epitope elicits cross-reactive antibodies and mediates partial protection from lethal viral challenge. Our data highlights the potential of E10 and its associated epitope as a candidate for future influenza prevention strategies.

Nature CommunicationsVol. 16(1)
Science for Life Laboratory (SE), Lanzhou Veterinary Research Institute (CN), Chinese Academy of Agricultural Sciences (CN), Harbin Veterinary Research Institute (CN), Lanzhou University (CN), University of Gothenburg (SE)
National Natural Science Foundation of China, Svenska Sällskapet för Medicinsk Forskning, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, Göteborgs Universitet
Good health and well-being
Openalex Percentile: Top 0%
Influenza Virus Research Studies
25.73
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.