a Influenza and Respiratory Viruses Unit, National Center for Microbiology, Instituto de Salud Carlos III (ISCIII) , Madrid , Spain.
b Center for Genome Sciences, United States Army Medical Research Institute of Infectious Diseases (USAMRIID) , Frederick , MD , USA.
Emerg Microbes Infect. 2019;8(1):1054-1065. doi: 10.1080/22221751.2019.1640587.
Despite the advanced PCR-based assays available, a fraction of the pediatric respiratory infections remain unexplained every epidemic season, and there is a perception that novel viruses might be present in these specimens. We systematically collected samples from a prospective cohort of pediatric patients with respiratory infections, that returned negative results by validated molecular RT-PCR assays, and studied them with a target-independent, high-throughput sequencing-based approach. We also included a matched cohort of children with no symptoms of respiratory infection, as a contrast study population. More than fifty percent of the specimens from the group of patients with unexplained respiratory infections were resolved. However, the higher rate of detection was not due to the presence of novel viruses, but to the identification of well-known viral respiratory pathogens. Our results show that already known viral pathogens are responsible for the majority of cases that remain unexplained after the epidemic season. High-throughput sequencing approaches that use pathogen-specific probes are easier to standardize because they ensure reproducible library enrichment and sequencing. In consequence, these techniques might be desirable from a regulatory standpoint for diagnostic laboratories seeking to benefit from the many advantages of these sequencing technologies.
尽管目前已有先进的基于 PCR 的检测方法,但在每个流行季,仍有一部分儿科呼吸道感染无法明确病因,人们认为这些标本中可能存在新型病毒。我们系统地收集了一批经验证的分子 RT-PCR 检测呈阴性的儿科呼吸道感染患者前瞻性队列的样本,并采用无靶向、高通量测序的方法对这些样本进行了研究。我们还纳入了一组无呼吸道感染症状的儿童作为对照研究人群。无法明确病因的呼吸道感染患者组中,超过一半的样本得到了解析。然而,高检出率并非由于新型病毒的存在,而是由于鉴定出了一些已知的病毒性呼吸道病原体。我们的研究结果表明,在流行季过后,仍有许多无法明确病因的病例是由已明确的病毒病原体引起的。使用病原体特异性探针的高通量测序方法更容易标准化,因为它们可以确保可重复的文库富集和测序。因此,对于寻求从这些测序技术的诸多优势中获益的诊断实验室而言,从监管角度来看,这些技术可能是理想的选择。