大学生群体人细小病毒B19感染状况调查
Investigation of human parvovirus B19 infection in college students
王智勇 1安锦花 1崔婧茹 1李妍霏 1李凯烨 1何敏1
作者信息
- 1. 长春市中心血站,吉林 长春 130031
- 折叠
摘要
目的 调查大学生群体人细小病毒 B19(B19V)感染状况,为制定献血者筛查策略及采供血策略提供数据支撑.方法 在 2023 年 3 月—2024 年 2 月的长春地区献血者标本中,采用随机数原则,每月选取 1～3 d的大学生献血者标本进行回顾性分析;采用ELISA法检测B19V IgG/IgM抗体,采用实时定量PCR法检测B19V DNA及病毒载量.结果 在 1 456 份大学生献血者标本中,B19V IgG、IgM 抗体和 DNA 阳性率分别为 11.54%、0.34%和2.68%.39 份B19V DNA阳性标本病毒载量为 5.60×102 IU/mL～9.10×106 IU/mL,其中病毒载量>104 IU/mL标本为28 份(1.92%);B19V DNA阳性、IgG/IgM阴性标本为 11 份(0.76%).结论 大学生群体B19V既往感染率较低,被感染风险较高,且B19V IgG阴性的高病毒血症期急性感染比例较高,存在经输血传播风险;有必要对大学生群体进行有针对性的血液安全监测,以监测该人群中B19V DNA的流行情况.
Abstract
Objective To investigate the prevalence of human parvovirus B19(B19V)infection among college students,so as to provide reference for the development of blood donor screening strategies and blood supply policies.Meth-ods From March 2023 to February 2024,blood donor samples from college students in Changchun were retrospectively an-alyzed using the principle of random numbers,with samples taken 1 to 3 days per month.B19V IgG/IgM were detected by ELISA,and B19V DNA and viral load were measured by real-time quantitative PCR.Results Among 1 456 blood donor samples from college students,the positive rates for B19V IgG,IgM and DNA were 11.54%,0.34%and 2.68%,respec-tively.The viral load in 39 B19V DNA-positive samples ranged from 5.60×102 IU/mL to 9.10×106 IU/mL,with 28 samples(1.92%)having a viral load above 104 IU/mL.There were 11 samples(0.76%)that were positive for B19V DNA but neg-ative for IgG/IgM.Conclusion The college students have a low prevalence of past B19V infection,but a higher risk of in-fections and a higer proportion of acute infections with high viral loads in individuals who are]B19V IgG negative,presenting a risk of transmission through blood transfusion.Targeted blood safety monitoring is necessary for college students to track the prevalence of B19V DNA.
关键词
人细小病毒B19/大学生/献血者/ELISA/PCRKey words
human parvovirus B19/college students/blood donors/ELISA/PCR引用本文复制引用
基金项目
中国输血协会威高科研基金(CSBT-WG-2022-05)
出版年
2024
国家科技期刊平台
NSTL
万方数据