广州市甲型H1N1流感病毒的持续进化变异监测

曹蓝; 李魁彪; 陈艺韵; 吴迪; 曾庆; 夏丹; 刘艳慧; 狄飚; 张周斌

doi:10.16462/j.cnki.zhjbkz.2021.03.020

广州市甲型H1N1流感病毒的持续进化变异监测

doi: 10.16462/j.cnki.zhjbkz.2021.03.020

曹蓝¹,
李魁彪¹,
陈艺韵¹,
吴迪²,
曾庆¹,
夏丹¹,
刘艳慧²,
狄飚¹,
张周斌^3, ,

1.
510440 广州，广州市疾病预防控制中心病毒免疫部
2.
510440 广州，广州市疾病预防控制中心传染病预防控制部
3.
510440 广州，广州市疾病预防控制中心主任室

基金项目:

广东省自然科学基金 2019A1515011510

广东省自然科学基金 2019A1515011407

广州市卫生健康科技项目 20201A011052

广州市医学重点学科建设项目 2021-2023-11

国家科技重大专项 2017ZX10103011-005

详细信息

通讯作者:
张周斌，E-mail: gzcdczzb@qq.com

中图分类号: R181
计量
- 文章访问数: 661
- HTML全文浏览量: 217
- PDF下载量: 69
- 被引次数: 0
出版历程
- 收稿日期: 2020-06-11
- 修回日期: 2020-08-12
- 刊出日期: 2021-03-10

Continuous monitoring of evolution and variation of influenza A (H1N1) viruses in Guangzhou, 2017-2019

1.
Department of Virology and Immunology, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
2.
Department of Infectious Disease Prevention and Control, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
3.
Office of the Director, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China

Funds:

Natural Science Foundation of Guangdong Province 2019A1515011510

Natural Science Foundation of Guangdong Province 2019A1515011407

Guangzhou Health and Family Planning Science and Technology Project 20201A011052

Project for Key Medicine Discipline Construction of Guangzhou Municipality 2021-2023-11

National Science and Technology Project 2017ZX10103011-005

More Information

Corresponding author: ZHANG Zhou-bin, E-mail: gzcdczzb@qq.com

摘要

摘要: 目的通过对H1N1流感病毒进行基因进化变异监测，为H1N1流感的科学防控提供研究数据。方法对广州市2017-2019年132株H1N1流感病毒进行血凝素(Hemagglutinin, HA)和神经氨酸酶(Neuraminidase, NA)基因测序，分析不同流行年度病毒的分子变异特点。结果 2017-2019年广州市H1N1流行株HA和NA基因均聚为一簇，提示具有相同进化起源。2019年分离株依次由2017年分离株经2018年分离株过度进化而来，呈现较为明显的时间进化趋势。HA基因持续变异的抗原位点主要分布在91、181、202位，其中2018年H1N1流行株HA蛋白抗原位点的变异具有较为明显的多样性。2017和2019年流行株中有3株病毒发生NA蛋白H274Y神经氨酸酶抑制剂的耐药突变。结论广州市2017-2019年H1N1流行株与同年度疫苗株的匹配性较好，但病毒基因在持续进化和变异，在抗原位点和耐药位点上不同流行年份表现基因多态性。
- 新甲型H1N1流感病毒 /
- 基因进化 /
- 变异
Abstract: Objective The characteristics of the evolution and variation of influenza A (H1N1) viruses in Guangzhou were monitored, which could provide research data for the scientific prevention and control of influenza A (H1N1). Methods The Hemagglutinin (HA) and Neuraminidase (NA) genes of 132 isolates of influenza A (H1N1) virus were sequenced isolated in Guangzhou from 2017 to 2019. The molecular characteristics of viruses in different epidemic years were analyzed. Results The HA and NA genes of H1N1 epidemic strains were clustered together, suggesting that they had the same evolutionary origin. The isolates in 2019 evolved from the isolates from 2017 to 2018 successively, which showed an obvious trend of evolution. The mutated antigenic sites of HA protein were at 91, 181 and 202 sites. Especially, the antigenic variations of HA protein of H1N1 epidemic strain in 2018 had diversities. In 2017 and 2019, three isolates were detected, which had H274Y resistance mutation of neuraminidase inhibitor. Conclusions The match between H1N1 epidemic strains from 2017 to 2019 and vaccine strains in the same year in Guangzhou was good. But, the HA and NA genes were evolving and mutating continuously. Gene polymorphisms were found at antigen sites and drug resistance sites.
- Influenza A (H1N1) virus /
- Gene evolution /
- Variation

HTML全文

图 1 广州市2017-2019年H1N1流感病毒HA基因遗传进化分析

Figure 1. Genetic evolution of HA gene of influenza A (H1N1) viruses in Guangzhou from 2017 to 2019

下载: 全尺寸图片幻灯片

图 2 广州市2017-2019年H1N1流感病毒NA基因遗传进化分析

Figure 2. Genetic evolution of NA gene of influenza A (H1N1) viruses in Guangzhou from 2017 to 2019

下载: 全尺寸图片幻灯片

参考文献(13)

[1]	陈国平, 李芙蓉, 刘红, 等. 甲型H1N1流感大流行的流行病学概述[J]. 中华疾病控制杂志, 2011, 15(7): 619-621. http://zhjbkz.ahmu.edu.cn/article/id/JBKZ201107020 Chen GP, Li FR, Liu H, et al. An outline of epidemiologic features of influenza A(H1N1) pandemic[J]. Chin J Dis Control Prev, 2011, 15(7): 619-621. http://zhjbkz.ahmu.edu.cn/article/id/JBKZ201107020
[2]	曹蓝, 李魁彪, 马钰, 等. 2017年广州市流感暴发疫情病原学监测与分析[J]. 热带医学, 2018, 18(12): 1619-1622. doi: 10.3969/j.issn.1672-3619.2018.12.019 Cao L, Li KB, Ma Y, et al. Pathogenic monitoring and analysis of influenza outbreak in Guangzhou, 2017[J]. J Trop Med, 2018, 18(12): 1619-1622. doi: 10.3969/j.issn.1672-3619.2018.12.019
[3]	Liu SS, Jiao XY, Wang S, et al. Susceptibility of influenza A (H1N1) /pdm2009, seasonal A (H3N2) and B viruses to Oseltamivir in Guangdong, China between 2009 and 2014[J]. Sci Rep, 2017, 7(1): 8488. DOI: 10.1038/s41598-017-08282-6.
[4]	陈艺韵, 鲁恩洁, 曹蓝, 等. 广州市2012-2016年A型季节性流感的流行特征分析[J]. 中国热带医学, 2017, 17(11): 1098-1101. DOI: 10.13604/j.cnki.46-1064/r.2017.11.09. Chen YY, Lu EJ, Cao L, et al. Epidemiological characteristics of seasonal influenza A in Guangzhou, 2012-2016[J]. China Tropical Medicine, 2017, 17(11): 1098-1101. DOI: 10.13604/j.cnki.46-1064/r.2017.11.09.
[5]	鲁恩洁, 陈艺韵, 陈宗遒, 等. 广州市2017-2018年流感疫情病原学监测结果分析[J]. 国际病毒学杂志, 2020, 27(2): 124-127. DOI: 10.3760/cma.j.issn.1673-4092.2020.02.008. Lu EJ, Chen YY, Chen ZQ, et al. Surveillance of influenza outbreaks in Guangzhou, 2017-2018[J]. Int J Virol, 2020, 27(2): 124-127. DOI: 10.3760/cma.j.issn.1673-4092.2020.02.008.
[6]	吴春利, 阳帆, 黄达娜, 等. 2009-2014年深圳市甲型H1N1流感病毒系统进化及分子变异研究[J]. 国际病毒学杂志, 2015, 22(6): 389-393. DOI: 10.3760/cma.j.issn.1673 4092.2015.06.008. Wu CL, Yang F, Huang DN, et al. Phyletic evolution and molecular variation of pandemic influenza A(H1N1) 2009 virus in Shenzhen from 2009 to 2014[J]. Int J Virol, 2015, 22(6): 389-393. DOI: 10.3760/cma.j.issn.1673 4092.2015.06.008.
[7]	许晶, 史伟, 张蕾, 等. 2017-2018年度陕西省甲型H1N1流感病毒基因特征分析[J]. 现代预防医学, 2019, 46(20): 3782-3786. https://www.cnki.com.cn/Article/CJFDTOTAL-XDYF201920031.htm Xu J, Shi W, Zhang L, et al. Genetic characterization of influenza A (H1N1) virus in Shaanxi in 2017-2018[J]. Modern Preventive Medicine, 2019, 46(20): 3782-3786. https://www.cnki.com.cn/Article/CJFDTOTAL-XDYF201920031.htm
[8]	黄一伟, 张斯钰, 湛志飞, 等. 2009-2018年湖南省甲型H1N1亚型流感病毒监测结果及其全基因组进化分析[J]. 疾病监测, 2019, 34(10): 885-890. DOI: 10.3784/j.issn.1003-9961.2019.10.006. Huang YW, Zhang SY, Zhan ZF, et al. Sentinel surveillance and whole genome evolution of influenza A (H1N1) pdm09 in Hunan, 2009-2018[J]. Disease Surveillance, 2019, 34(10): 885-890. DOI: 10.3784/j.issn.1003-9961.2019.10.006.
[9]	方斌, 刘琳琳, 李翔, 等. 湖北省大流行期和流行后期新甲型H1N1流感病毒基因特性分析[J]. 中华疾病控制杂志, 2017, 21(1): 13-18. DOI: 10.16462 /j.cnki.zhjbkz.2017.01.003. Fang B, Liu LL, Li X, et al. Evolutionary feature analysis of influenza A (H1N1pdm09) viruses in Hubei during the pandemic and post-pandemic periods[J]. Chin J Dis Control Prev, 2017, 21(1): 13-18. DOI: 10.16462 /j.cnki.zhjbkz.2017.01.003.
[10]	Xu R, Ekiert DC, Krause JC, et al. Structural basis of preexisting immunity to the 2009 H1N1 pandemic influenza virus[J]. Science, 2010, 328(5976): 357-360. DOI: 10.1126/science.1186430.
[11]	Li L, Liu Y, Wu P, et al. Influenza-associated excess respiratory mortality in China, 2010-15: a population-based study[J]. Lancet Public Health, 2019, 4(9): e473-e481. DOI: 10.1016/S2468-2667(19)30163-X.
[12]	李铁钢, 王鸣. 在抗击新型冠状病毒肺炎疫情同时警惕季节性流感的叠加效应[J]. 中华预防医学杂志, 2020, 54(4): 337-339. DOI: 10.3760/cma.j.cn11250-20200208-00078. Li TG, Wang M. Be alert to superposed effect of seasonal influenza while fighting against COVID-19[J]. Chin J Prev Med, 2020, 54(4): 337-339. DOI: 10.3760/cma.j.cn11250-20200208-00078.
[13]	Bai L, Zhao Y, Dong J, et al. Coinfection with influenza A virus enhances SARS-CoV-2 infectivity[J]. Cell Res, 2021, 1-9. DOI: 10.1038/s41422-021-00473-1.