Will avian influenza virus (H10N3) cause a major public health threat?

Avian influenza viruses (AIVs) cause significant economic losses to the poultry industry and pose a persistent threat to public health due to their capacity for cross-species infection of mammals and humans. From May 2021 to April 2025, six severe human cases of H10N3 infection were successively reported across Jiangsu, Zhejiang, Yunnan, Guangxi, and Shaanxi provinces, China, with patient ages ranging from 23 to 70 years. These cases exhibited a sporadic pattern, characterized by a wide geographical distribution and long intervals between occurrences. The H10N3 strains originated from poultry, and all affected individuals had a history of exposure to live poultry. There is no evidence that H10N3 have acquired the ability for sustained human-to-human transmission. H10N3 viruses were found to be circulating at a low prevalence in poultry in Eastern China, with an overall isolation rate of 0.41 %. While chickens were identified as the primary host, these viruses were also detectable in waterfowl. However, it is noteworthy that systematic virological studies have demonstrated that H10N3 viruses have gained the ability to infect and adapt to mammalian hosts. This elevates the concern for their potential to continue causing sporadic human infections and even pose a pandemic risk in the future. In this communication, we focus on the origins of H10N3 and the molecular mechanisms underlying its cross-species infection of mammals.

Authors

Institutions

Publication Details

Journal
Animals and zoonoses.
Published
2025-11-22
DOI
https://doi.org/10.1016/j.azn.2025.11.003
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Will avian influenza virus (H10N3) cause a major public health threat?

Xiyue Wang, Yijia Sun, Kaituo Liu, Xiufan Liu
Animals and zoonoses.
Influenza Virus Research Studies
article

Will avian influenza virus (H10N3) cause a major public health threat?

Xiyue Wang, Yijia Sun, Kaituo Liu, Xiufan Liu
article en

Abstract

Avian influenza viruses (AIVs) cause significant economic losses to the poultry industry and pose a persistent threat to public health due to their capacity for cross-species infection of mammals and humans. From May 2021 to April 2025, six severe human cases of H10N3 infection were successively reported across Jiangsu, Zhejiang, Yunnan, Guangxi, and Shaanxi provinces, China, with patient ages ranging from 23 to 70 years. These cases exhibited a sporadic pattern, characterized by a wide geographical distribution and long intervals between occurrences. The H10N3 strains originated from poultry, and all affected individuals had a history of exposure to live poultry. There is no evidence that H10N3 have acquired the ability for sustained human-to-human transmission. H10N3 viruses were found to be circulating at a low prevalence in poultry in Eastern China, with an overall isolation rate of 0.41 %. While chickens were identified as the primary host, these viruses were also detectable in waterfowl. However, it is noteworthy that systematic virological studies have demonstrated that H10N3 viruses have gained the ability to infect and adapt to mammalian hosts. This elevates the concern for their potential to continue causing sporadic human infections and even pose a pandemic risk in the future. In this communication, we focus on the origins of H10N3 and the molecular mechanisms underlying its cross-species infection of mammals.

Animals and zoonoses.Vol. 2(1)
Yangzhou University (CN)
Openalex Percentile: Top 53%
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.