New hemagglutinin dual-receptor-binding pattern of a human-infecting influenza A (H7N9) virus isolated after fifth epidemic wave.

Lei Guo1 Nan Li1 Wenlong Li2 Jienan Zhou3 Ruotong Ning1 Min Hou2 Longding Liu1
Affiliations 3 institutions
  1. Institute of Medical Biology, Chinese Academy of Medical Science, 935# Jiaoling Road, Kunming, Yunnan 650118, China.
  2. Kunming City Center for Disease Control and Prevention, 4# Ziyun Road, Kunming, Yunnan 650228, China.
  3. Yunan Center for Disease Control and Prevention, 158# Dongsi Street, Kunming, Yunnan 650022, China.

Abstract

Since 2013, influenza H7N9 virus has caused five epidemic waves of human infection. The virus evolved from low pathogenic to highly pathogenic in wave 5, 2017, while the prevalence of host receptor-binding tropism in human-infecting viruses maintained dual-receptor-binding property with preference for avian receptor. A human-infecting H7N9 virus was isolated after the fifth epidemic wave and possessed an avian and human dual-receptor specificity, with a moderately higher affinity for human receptor binding. A V186I (H3 numbering) substitution in the receptor-binding site of the hemagglutinin (HA) molecule is responsible for the alteration of the dual-receptor-binding tropism. Viral strains which contain I186 amino acid of avian- and human-infecting H7N9 viruses were all isolated during or after wave 5, and their HA genes clustered in a same phylogenetic clade together with 2018-9 H7N9 isolates, highlights a new evolutionary path for human adaption of natural H7N9 viruses.

Supporting text Virus Host Location
dual-receptor binding 1 H7N9 27 hemagglutinin 31 human infection 8 influenza 61

Evidence records

4 total
Zoonotic Surveillance
1 records · 1 evidence types
Evidence type
1 records
OVE3759
Key finding

A human-infecting H7N9 virus was successfully isolated from a human case after the fifth epidemic wave.

Virus
Host
Location
Not specified
Supporting text

A human-infecting H7N9 virus was isolated after the fifth epidemic wave and possessed an avian and human dual-receptor specificity.

Functional Mechanism
2 records · 2 evidence types
Evidence type
1 records
OVE3760
Key finding

A human-infecting H7N9 virus isolated after the fifth epidemic wave exhibited dual receptor specificity, binding both avian and human-type receptors with moderately higher affinity for the human receptor.

Virus
Host
Location
Not specified
Supporting text

A human-infecting H7N9 virus was isolated after the fifth epidemic wave and possessed an avian and human dual-receptor specificity, with a moderately higher affinity for human receptor binding.

Method
receptor-binding assays | affinity comparison
Receptors
avian receptor | human receptor
Host factors
hemagglutinin (HA) molecule | V186I substitution
Evidence type
1 records
OVE3761
Key finding

A V186I substitution in H7N9 hemagglutinin altered dual receptor-binding tropism toward increased human receptor affinity.

Virus
Host
Not specified
Location
Not specified
Supporting text

A V186I (H3 numbering) substitution in the receptor-binding site of the hemagglutinin (HA) molecule is responsible for the alteration of the dual-receptor-binding tropism.

Genes or proteins
hemagglutinin (HA)
Receptors
avian receptor | human receptor
Mutations
V186I
Mechanism types
receptor binding | host-range expansion
Genomic Evolution
1 records · 1 evidence types
Evidence type
1 records
OVE3762
Key finding

Phylogenetic analysis showed that H7N9 viruses carrying the I186 substitution in the HA gene form a distinct clade with 2018–2019 isolates, indicating a new evolutionary lineage associated with human adaptation after wave 5.

Virus
Host
Location
Not specified
Supporting text

Viral strains which contain I186 amino acid of avian- and human-infecting H7N9 viruses were all isolated during or after wave 5, and their HA genes clustered in a same phylogenetic clade together with 2018-9 H7N9 isolates, highlights a new evolutionary path for human adaption of natural H7N9 viruses.

Genes or proteins
HA gene
Analysis methods
phylogenetic analysis | clustering analysis