A Review of Cross-Species Transmission Mechanisms of Influenza Viruses.

Journal: Veterinary sciences
Published Date:

Abstract

The cross-species transmission of influenza viruses represents a critical link in the pandemic of zoonotic diseases. This mechanism involves multi-level interactions, including viral genetic adaptability, host-receptor compatibility, and ecological drivers. Recent studies have highlighted the essential role of mutations in hemagglutinin and neuraminidase in overcoming host barriers, while elucidating the differences in the distribution of host sialic acid receptors. Furthermore, the "mixer" function of intermediate hosts, such as pigs, plays a significant role in viral redistribution. Advances in high-throughput sequencing and structural biology technologies have gradually resolved key molecular markers and host restriction factors associated with these viruses. However, challenges remain in understanding the dynamic evolutionary patterns of virus-host interaction networks, developing real-time early warning capabilities for cross-species transmission, and formulating broad-spectrum prevention and control strategies. Moving forward, it is essential to integrate multidisciplinary approaches to establish a multi-level defense system, leveraging the 'One Health' monitoring network, artificial intelligence prediction models, and new vaccine research and development to address the ongoing threat of cross-species transmission of influenza viruses. This paper systematically reviews the research progress and discusses bottlenecks in this field, providing a theoretical foundation for optimizing future prevention and control strategies.

Authors

  • Xianfeng Hui
    Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, China.
  • Xiaowei Tian
    Department of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, China.
  • Shihuan Ding
    Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, China.
  • Ge Gao
    School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China.
  • Jiyan Cui
    Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, China.
  • Chengguang Zhang
    National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China.
  • Tiesuo Zhao
    Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, China.
  • Liangwei Duan
    Henan Key Laboratory of Immunology and Targeted Drug, Xinxiang Medical University, Xinxiang 453003, China.
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.

Keywords

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