. doi: 10.1016/j.virs.2025.07.011
Citation: Mingkun Wu, Liru Guo, Mei Kong, Ming Zou, Xiaochang Liu, Xiaoyan Li. Epidemiological and genomic surveillance of influenza A virus (pdm09 H1N1 and H3N2) strains from 2017 to 2025 in Tianjin, China .VIROLOGICA SINICA, 2025, 40(4) : 535-545.  http://dx.doi.org/10.1016/j.virs.2025.07.011

2017-2025年天津市甲型流感病毒株(pdm09 H1N1和H3N2)流行病学和基因组监测研究

  • 通讯作者: 李晓燕, xiaoyanli1291@163.com
  • 收稿日期: 2025-04-21
    录用日期: 2025-07-25
  • 甲型流感病毒(IAV)感染仍然是重要的全球公共卫生问题,可引起流感样症状和严重呼吸道感染。目前全球流行的IAV包括A/pdm09 H1N1和A/H3N2两种主要亚型,其流行受多种因素影响,在新冠疫情期间表现尤为显著。基于中国国家流感监测项目的数据,本研究分析了天津市2017-2025年甲型流感病毒的流行病学和基因组数据。研究期间共收集咽拭子样本77473份,其中9144份经检测呈IAV阳性。结果显示,A/pdm09 H1N1和A/H3N2谱系在不同的流感季节表现出不同的流行趋势,尤其是在新冠疫情期间,感染病例数呈现下降趋势。作者对128株A/pdm09 H1N1和113株A/H3N2临床分离株进行了全基因组测序,并基于时间尺度的系统发育分析对其动态进化和遗传多样性进行了深入研究。同时,作者针对甲型流感病毒血凝素和神经氨酸酶片段进行了基因组风险评估,确定了与病毒适应性、传播性、毒力和耐药性相关的关键氨基酸位点。此外,在近期流感流行季的临床分离株中,未发现抗原变异,但个别毒株对奥司他韦和扎那米韦的敏感性出现降低。综上,本研究通过系统监测,重点阐明了天津市2017-2025年甲型流感病毒的流行病学特征及演变规律,为流感防控提供了科学依据。

Epidemiological and genomic surveillance of influenza A virus (pdm09 H1N1 and H3N2) strains from 2017 to 2025 in Tianjin, China

  • Corresponding author: Xiaoyan Li, xiaoyanli1291@163.com
  • Received Date: 21 April 2025
    Accepted Date: 25 July 2025
  • Influenza A virus (IAV) remains a global public health concern, causing influenza-like illness and severe respiratory tract infections. Two major subtypes, A/pdm09 H1N1 and A/H3N2, circulate globally, and their epidemics are influenced by multiple factors, especially during the COVID-19 pandemic. Based on data from the National Influenza Surveillance Program in China, we analyzed the epidemiological and genomic data in Tianjin collected from 2017 to 2025. A total of 77,473 throat swabs were collected, of which 9144 were IAV-positive. The A/pdm09 H1N1 and A/H3N2 lineages exhibited distinct epidemics across different influenza seasons, with a decline in cases observed during the COVID-19 pandemic. We sequenced the genomes of 128 A/pdm09 H1N1 and 113 A/H3N2 clinical isolates and characterized their temporal evolution and genetic diversity using time-scaled phylogenetic analysis. Additionally, we conducted a genetic risk evaluation of the hemagglutinin and neuraminidase segments, identifying key amino acid residues associated with viral adaptation, transmissibility, virulence, and drug resistance. Moreover, no antigenic variants were found in clinical isolates during the recent influenza seasons, though reduced sensitivity to oseltamivir and zanamivir was observed in individual strains. Our surveillance highlights the epidemiology and evolution of IAV before and after the COVID-19 pandemic in Tianjin.

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    Epidemiological and genomic surveillance of influenza A virus (pdm09 H1N1 and H3N2) strains from 2017 to 2025 in Tianjin, China

      Corresponding author: Xiaoyan Li, xiaoyanli1291@163.com
    • a. Institute of Microbiology, Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, China;
    • b. Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Centers for Disease Control and Prevention, Tianjin, 300011, China;
    • c. Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, Tianjin Medical University, Tianjin, 300070, China

    Abstract: Influenza A virus (IAV) remains a global public health concern, causing influenza-like illness and severe respiratory tract infections. Two major subtypes, A/pdm09 H1N1 and A/H3N2, circulate globally, and their epidemics are influenced by multiple factors, especially during the COVID-19 pandemic. Based on data from the National Influenza Surveillance Program in China, we analyzed the epidemiological and genomic data in Tianjin collected from 2017 to 2025. A total of 77,473 throat swabs were collected, of which 9144 were IAV-positive. The A/pdm09 H1N1 and A/H3N2 lineages exhibited distinct epidemics across different influenza seasons, with a decline in cases observed during the COVID-19 pandemic. We sequenced the genomes of 128 A/pdm09 H1N1 and 113 A/H3N2 clinical isolates and characterized their temporal evolution and genetic diversity using time-scaled phylogenetic analysis. Additionally, we conducted a genetic risk evaluation of the hemagglutinin and neuraminidase segments, identifying key amino acid residues associated with viral adaptation, transmissibility, virulence, and drug resistance. Moreover, no antigenic variants were found in clinical isolates during the recent influenza seasons, though reduced sensitivity to oseltamivir and zanamivir was observed in individual strains. Our surveillance highlights the epidemiology and evolution of IAV before and after the COVID-19 pandemic in Tianjin.

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