State Key Laboratory for Molecular Virology and Genetic Engineering and Dr. Christophe Mérieux Laboratory, IPB, CAMS-Fondation Mérieux, Institute of Pathogen Biology (IPB), Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College, Beijing, China.
J Med Virol. 2011 Feb;83(2):291-7. doi: 10.1002/jmv.21956.
Human coronaviruses (HCoVs) are a common etiological agent of acute respiratory tract infections. HCoV infections, especially those caused by the two HCoVs identified most recently, NL63 and HKU-1, have not been characterized fully. To evaluate the prevalence and clinical presentations of HKU1 and NL63 in adults with acute respiratory tract infections, an investigation of HCoV infections in Beijing, China from 2005 to 2009 was performed by using reverse transcriptase PCR assays and sequencing analysis. Among 8,396 respiratory specimens studied, 87 (1%) clinical samples were positive for HCoVs, of which 50 samples (0.6% of the total) were positive for HCoV-OC43, 15 (0.2%) for HCoV-229E, 14 (0.2%) for HCoV-HKU1, and 8 (0.1%) for HCoV-NL63. The prevalence of HCoV infection in adults exhibited distinct seasonal fluctuations during the study period. In addition, patients positive for HCoV-229E infections were more likely to be co-infected with other respiratory viruses. Enterovirus, rhinovirus, and parainfluenza virus type 3 were the most common viruses found in patients with HCoV infections. The demographic and clinical data present in this study of HCoV infections in adults with acute respiratory tract infections should improve our understanding of the pathogenesis of HCoVs.
人类冠状病毒(HCoV)是急性呼吸道感染的常见病因。HCoV 感染,尤其是最近发现的两种 HCoV(NL63 和 HKU-1)引起的感染,尚未得到充分描述。为了评估 HKU1 和 NL63 在急性呼吸道感染成人中的流行情况和临床表现,我们采用逆转录 PCR 检测和测序分析方法,对 2005 年至 2009 年期间北京的 HCoV 感染进行了研究。在研究的 8396 份呼吸道标本中,87 份(1%)临床样本 HCoV 阳性,其中 50 份(占总样本的 0.6%)为 HCoV-OC43 阳性,15 份(0.2%)为 HCoV-229E 阳性,14 份(0.2%)为 HCoV-HKU1 阳性,8 份(0.1%)为 HCoV-NL63 阳性。在研究期间,成人 HCoV 感染的流行率呈现明显的季节性波动。此外,HCoV-229E 感染阳性患者更有可能同时感染其他呼吸道病毒。肠病毒、鼻病毒和副流感病毒 3 是 HCoV 感染患者中最常见的病毒。本研究中成人急性呼吸道感染 HCoV 感染的人口统计学和临床数据,应有助于我们更好地理解 HCoV 的发病机制。