2017-2019年湖北省病毒性腹泻哨点监测病例中诺如病毒流行及基因特征

李静; 张婷; 邹文菁; 徐军强; 蔡昆

doi:10.16462/j.cnki.zhjbkz.2021.11.017

2017-2019年湖北省病毒性腹泻哨点监测病例中诺如病毒流行及基因特征

doi: 10.16462/j.cnki.zhjbkz.2021.11.017

430079 武汉，湖北省疾病预防控制中心卫生检验所

基金项目:

国家科技重大专项 2017ZX10104001

湖北省自然科学基金 2018CFB716

详细信息

通讯作者:
蔡昆，E-mail: 56594776@qq.com

中图分类号: R181.2
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- 被引次数: 0
出版历程
- 收稿日期: 2021-01-18
- 修回日期: 2021-03-16
- 网络出版日期: 2021-12-04
- 刊出日期: 2021-11-10

Epidemiological and genetic characteristics of norovirus in sentinel surveillance cases of viral diarrhea in Hubei Province from 2017 to 2019

Institute of Health Examination, Hubei Province Center for Disease Control and Prevention, Wuhan 430079, China

Funds:

National Key Technology Research and Development Program of China 2017ZX10104001

Natural Science Foundation of Hubei Province 2018CFB716

More Information

Corresponding author: CAI Kun, E-mail: 56594776@qq.com

摘要

摘要: 目的了解湖北省2017-2019年病毒性腹泻哨点监测病例中诺如病毒(norovirus, NV)的流行病学特征和基因型别特征。方法收集2017年1月1日-2019年12月30日成人和儿童腹泻患者的粪便标本共1 957份，采用实时荧光RT-PCR法进行NV GI和GII型别鉴定；对NV检测阳性的GII型标本应用RT-PCR扩增开放阅读框(open reading frame, ORF)1/ORF2铰链区，将获得的PCR产物直接测序并进行基因型别和重组分析。结果男性和女性腹泻患者中NV阳性检出率差异有统计学意义(χ² =5.18, P=0.023)。各年龄组腹泻患者间NV阳性检出率差异有统计学意义(χ² =98.04, P＜0.001)，其中1~＜2岁年龄组腹泻患者NV阳性检出率最高，为23.50%。2017-2019年湖北省NV感染呈现2个流行峰，高峰出现在10-12月间，低峰出现在3-4月。NV主要为GII基因型，其中以GII.4、GII.2和GII.3亚型为主。主要的重组型有GII.2[P16]、GII.4[P31]、GII.3[P12]和GII.4[P16]。结论 2017-2019年湖北地区存在多种基因型NV的感染，并发现不同的重组亚型。加强NV的基因型别监测和重组分析有利于掌握NV的分子流行病学特征，为科学防控提供理论依据。
- 诺如病毒 /
- 流行病学 /
- 基因型 /
- 基因重组
Abstract: Objective To describe the epidemiologic and genetic characteristics of norovirus (NV) in sentinel surveillance cases of viral diarrhea in Hubei Province from 2017 to 2019. Methods A total of 1 957 fecal samples from adult and child patients with diarrhea were collected from January 1, 2017 to December 30, 2019. Samples were detected using real-time RT-PCR. Positive samples of NV GII were amplified to obtain the sequences of open reading frame (ORF)1/ORF2 junction by RT-PCR. The obtained PCR products were directly sequenced and analyzed for genotype and recombination. Results There was a statistically significant difference in the detection rate of NV between males and females with diarrhea (χ² =5.18, P=0.023). There is a statistically significant difference in the detection rate of NV between patients with diarrhea in each age group (χ² =98.04, P < 0.001), among them, the 1~ < 2 year old age group has the highest NV-positive detection rate (23.50%) in patients with diarrhea. From 2017 to 2019, there were two epidemic peaks of NV infection in Hubei Province, the peak appeared in October-December, and the low peak appeared in March-April. The main NV genotypes were GII genogroup, of which GII.4, GII.2 and GII.3 were the main subtypes. The main recombination types were GII.2[P16], GII.4[P31], GII.3[P12] and GII.4[P16]. Conclusions There were multiple genotypes of NV infection in Hubei province from 2017 to 2019 and different recombination subtypes were found. Enhancing the monitoring of genotype and recombination of NV contributes to know the molecular epidemiology features of NV and provide theoretical basis for scientific prevention and control.
- Norovirus /
- Epidemiology /
- Genotype /
- Gene recombination

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图 1 2017-2019年湖北省腹泻患者NV感染的时间分布

Figure 1. Time distribution of NV diarrhea cases in Hubei Province from 2017 to 2019

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表 1 2017-2019年湖北省各年龄组腹泻患者粪便标本中NV检出情况

Table 1. Detection results of NV in fecal samples from patients with diarrhea in different age groups in Hubei Province from 2017 to 2019

年龄组(岁)	腹泻患者数(人)	NV检测阳性数(人)	NV阳性检出率(%)
0~＜6月龄	221	8	3.62
6月龄~＜1	173	16	9.25
1~＜2	366	86	23.50
2~＜5	408	63	15.44
5~＜14	255	56	21.96
14~＜20	51	4	7.84
20~＜50	247	15	6.07
≥50	236	12	5.08
合计	1 957	260	13.29

下载: 导出CSV

表 2 2017-2019年湖北省腹泻患者NV各月检测结果

Table 2. Monthly test results of NV in diarrhea patients in Hubei Province from 2017 to 2019

月份(月)	腹泻患者数 (人)	NV检测阳性数 (人)	NV阳性检出率 (%)
1	70	1	1.43
2	145	12	8.28
3	228	44	19.30
4	147	20	13.61
5	135	6	4.44
6	153	2	1.31
7	164	3	1.83
8	247	11	4.45
9	165	8	4.85
10	153	43	28.10
11	154	60	38.96
12	196	50	25.51
合计	1 957	260	13.29

下载: 导出CSV

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