Jing Hongbo, Yang Yanhui, He Mu, Wang Yanbo, Zhao Yu, Li Zhan, Zhang He, Jia Nan, Gao Yanmeng, Liu Shengtian, Peng Tao, Jin Miao
Shunyi District Center for Disease Control and Prevention, Beijing, China.
National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
China CDC Wkly. 2025 Jun 6;7(23):790-795. doi: 10.46234/ccdcw2025.129.
Since 2014, non-GII.4 norovirus genotypes have increasingly challenged the predominance of GII.4, particularly in Asia. This study analyzed the epidemiological and genetic characteristics of norovirus outbreaks from January 2017 to June 2024 in a district of Beijing, China.
We tested 2,016 stool samples collected from 309 acute gastroenteritis outbreaks for norovirus using real-time RT-PCR. Partial polymerase and capsid sequences of norovirus-positive samples were amplified and sequenced for phylogenetic analysis. Additionally, we performed genome amplification and sequence analysis on seven GII.7[P7] strains.
Between January 2017 and June 2024, 150 norovirus outbreaks were reported, with GII norovirus causing 83.3% of these outbreaks. We identified 16 distinct genotypes. Among the 102 GII genotype outbreaks, non-GII.4 norovirus outbreaks (81.4%) significantly outnumbered GII.4 norovirus outbreaks (18.6%). The three most prevalent genotypes during the study period were GII.2[P16] (46.1%, 47/102), GII.3[P12] (14.7%, 15/102), and GII.4 Sydney[P16] (12.7%, 13/102). GII.2[P16] predominated in 2017, 2018, and 2020, while GII.3[P12] was the dominant genotype in 2022. Multiple genotypes emerged in 2023. In the first half of 2024, GII.4 Sydney[P16] became predominant (36.9%), while a novel GII.7[P7] variant emerged, accounting for 26.3% of outbreaks. All seven GII.7[P7] genome sequences formed an independent branch in both VP1 and polymerase regions.
Our findings demonstrate that non-GII.4 noroviruses play an increasingly important role in outbreaks in Beijing. Continuous surveillance is needed to better understand and control norovirus outbreaks in future epidemic seasons.
自2014年以来,非GII.4型诺如病毒基因型日益挑战GII.4型的主导地位,尤其是在亚洲。本研究分析了2017年1月至2024年6月中国北京市某区诺如病毒暴发的流行病学和基因特征。
我们使用实时逆转录聚合酶链反应(RT-PCR)对从309起急性胃肠炎暴发中收集的2016份粪便样本进行诺如病毒检测。对诺如病毒阳性样本的部分聚合酶和衣壳序列进行扩增和测序,以进行系统发育分析。此外,我们对7株GII.7[P7]毒株进行了基因组扩增和序列分析。
2017年1月至2024年6月期间,共报告了150起诺如病毒暴发,其中GII型诺如病毒导致了83.3%的暴发。我们鉴定出16种不同的基因型。在102起GII基因型暴发中,非GII.4型诺如病毒暴发(81.4%)显著多于GII.4型诺如病毒暴发(18.6%)。研究期间最常见的三种基因型是GII.2[P16](46.1%,47/102)、GII.3[P12](14.7%,15/102)和GII.4悉尼[P16](12.7%,13/102)。GII.2[P16]在2017年、2o18年和2020年占主导地位,而GII.3[P12]是2022年的优势基因型。2023年出现了多种基因型。在2024年上半年,GII.4悉尼[P16]成为优势基因型(36.9%),同时出现了一种新型GII.7[P7]变体,占暴发的26.3%。所有7株GII.7[P7]基因组序列在VP1和聚合酶区域均形成一个独立分支。
我们的研究结果表明,非GII.4型诺如病毒在北京的暴发中发挥着越来越重要的作用。需要持续监测,以更好地了解和控制未来流行季节的诺如病毒暴发。