天津市秋冬季腹泻患儿星状病毒调查
本文选题:星状病毒 + 腹泻 ; 参考:《环境与健康杂志》2017年06期
【摘要】:目的了解天津市秋冬季腹泻患儿的星状病毒感染情况及其分型特点。方法采用逆转录聚合酶链反应(RTPCR)技术,于2014年9月—2015年2月收集天津市儿童医院住院部1 127例疑似病毒性腹泻的婴幼儿粪便样品中的星状病毒核酸进行检测,并将部分阳性株的PCR产物进行测序,采用序列分析软件分析测序结果,推断其毒株型别,同时收集患儿的临床资料进行综合分析。结果 1 127份腹泻粪便样品中,星状病毒RT-PCR阳性99份,检出率为8.78%。感染星状病毒的患儿多为1岁以下,患儿年龄中位数为3.00月龄,且1月检出率最高。99例阳性星状病毒患儿中,有52例与其他病毒混合感染,混合感染率为4.61%,其中以诺如病毒合并星状病毒最常见。26份PCR阳性产物送往测序,经Genbank Blast及系统进化树分析,所有星状病毒均为人类星状病毒1型。结论星状病毒是天津市秋冬季婴幼儿病毒性腹泻的重要病原体,本次调查期间星状病毒以人类星状病毒1型毒株流行为主,此外存在一定比例的混合感染。
[Abstract]:Objective to investigate the status of stellate virus infection and its typing in children with diarrhea in autumn and winter in Tianjin. Methods from September 2014 to February 2015, stellate virus nucleic acids were collected from 1,127 samples of infant faeces suspected of viral diarrhea in Tianjin Children's Hospital from September 2014 to February 2015 by reverse transcriptase polymerase chain reaction (RT-PCR). The PCR products of some positive strains were sequenced. The results of sequencing were analyzed by sequence analysis software, and the type of virus strains was inferred, and the clinical data of children were collected for comprehensive analysis. Results among 1 127 fecal samples of diarrhea, 99 were stellate virus RT-PCR positive, the detection rate was 8.78. Most of the children infected with stellate virus were under 1 year old, and the median age was 3.00 months old. The highest detection rate of stellate virus was found in January, 52 of them were mixed with other viruses. The mixed infection rate was 4.61%. The most common PCR positive products of Enoviruses combined with stellate virus were sent to sequencing. By Genbank Blast and phylogenetic tree analysis, all stellate viruses were human stellate virus type 1. Conclusion stellate virus is an important pathogen of infantile viral diarrhea in autumn and winter in Tianjin. During this investigation, human stellate virus type 1 was the predominant virus strain, and there was a certain proportion of mixed infection.
【作者单位】: 天津市儿童医院检验科;军事医学科学院卫生学环境医学研究所;
【基金】:天津市科技支撑计划项目(16YFZCSF00340)
【分类号】:R446.5;R725.1
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