Laboratory for Infectious Diseases and Perinatal Screening, Centre for Infectious Disease Control (RIVM), Bilthoven, The Netherlands.
J Clin Virol. 2013 Apr;56(4):286-92. doi: 10.1016/j.jcv.2012.12.006. Epub 2013 Jan 5.
Norovirus P2 domain is commonly used to extrapolate transmission within an outbreak (OB) setting. The current definition is that transmission among cases is considered to be proven when no sequence variation is found.
Previous studies have shown a high mutation rate and errors during replication of the norovirus genome, therefore the validity of this criterion must be evaluated.
Sequences of the P2 domain were obtained from patients and health care workers sampled during 4 prospectively GII.4 outbreaks. Fecal samples were tested by RT-PCR for presence of norovirus RNA against a standard control preparation to allow quantification. Estimated time of onset of shedding was derived from shedding kinetics modeled on data from sequential sampling. Thereby P2 sequence variation could be linked to estimated total virus excretion in individual subjects.
In all the outbreaks, P2 domain variation was found that resulted in unique codon changes in some patients. Mutations were found in 14% of initial samples and >50% of follow-up samples taken from patients involved in an outbreak. In three patients, aa mutations was observed in or near sites involved in host or antigen binding.
We concluded that P2 domain variation increases with duration of virus shedding, but was unrelated to total amounts of virus shed. Therefore, we propose that cluster identification based on identical sequences should be relaxed to accommodate minor sequence variation. When using sequence data to support outbreak investigations, sequence diversity should be interpreted in relation to timing of sampling since onset of illness.
诺如病毒 P2 结构域通常用于推断暴发(OB)环境中的传播。目前的定义是,当未发现序列变异时,认为病例之间的传播是已证实的。
先前的研究表明,诺如病毒基因组在复制过程中具有很高的突变率和错误率,因此必须评估这一标准的有效性。
从患者和在 4 次前瞻性 GII.4 暴发期间采样的医护人员中获得 P2 结构域序列。通过 RT-PCR 检测粪便样本中是否存在诺如病毒 RNA,针对标准对照制剂进行检测,以允许定量。从对来自连续采样的数据进行建模的脱落动力学中得出脱落的估计发病时间。从而可以将 P2 序列变异与个体受试者中估计的总病毒排泄量相关联。
在所有暴发中,都发现了 P2 结构域的变异,导致一些患者的独特密码子发生变化。在最初样本中发现了 14%的突变,在来自暴发患者的后续样本中发现了超过 50%的突变。在 3 名患者中,观察到 aa 突变发生在与宿主或抗原结合相关的位点或其附近。
我们得出结论,P2 结构域的变异随着病毒脱落时间的延长而增加,但与病毒脱落总量无关。因此,我们建议应放宽基于相同序列的聚类识别,以适应微小的序列变化。在使用序列数据支持暴发调查时,应根据发病时间来解释序列多样性,因为序列多样性与采样时间有关。