Using a resequencing microarray as a multiple respiratory pathogen detection assay

Using a resequencing microarray as a multiple respiratory pathogen detection assay
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DOI:
10.1128/jcm.01870-06
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发表时间:
2007-02-01
影响因子:
9.4
通讯作者:
Stenger, David A.
Stenger, David A.
中科院分区:
医学2区
文献类型:
--
作者:
Lin, Baochuan;Blaney, Kate M.;Stenger, David A.

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同时检测引起类似症状的传染性病原体(例如,急性呼吸道感染)对病人治疗、预防疾病爆发以及有效使用抗生素和抗病毒剂都是非常宝贵的。此外,此类检测可提供关于可能的合并感染或诱导的继发感染(如病毒诱导的细菌感染)的信息。此外,在许多情况下,病原体的检测需要多于属/种水平的分辨率,因为有害物质(例如,禽流感病毒)与其他相对良性的常见病原体分组,并且对于每种病原体,更精细的分辨率有助于跟踪导致菌株变异的突变的位置和性质。在这项研究中,进一步开发了先前开发的重测序微阵列,该微阵列已被证明具有这些能力,可为超过26种呼吸道病原体提供101至103个基因组拷贝的个体检测灵敏度,同时仍保留检测和区分密切遗传邻居的能力。此外,该研究表明,该系统允许明确的和可重复的基于序列的菌株鉴定的混合病原体。使用临床标本的成功概念验证实验表明,这种方法对于诊断和流行病监测都可能非常有用。
Simultaneous testing for detection of infectious pathogens that cause similar symptoms (e.g., acute respiratory infections) is invaluable for patient treatment, outbreak prevention, and efficient use of antibiotic and antiviral agents. In addition, such testing may provide information regarding possible coinfections or induced secondary infections, such as virally induced bacterial infections. Furthermore, in many cases, detection of a pathogen requires more than genus/species-level resolution, since harmful agents (e.g., avian influenza virus) are grouped with other, relatively benign common agents, and for every pathogen, finer resolution is useful to allow tracking of the location and nature of mutations leading to strain variations. In this study, a previously developed resequencing microarray that has been demonstrated to have these capabilities was further developed to provide individual detection sensitivity ranging from 101 to 103 genomic copies for more than 26 respiratory pathogens while still retaining the ability to detect and differentiate between close genetic neighbors. In addition, the study demonstrated that this system allows unambiguous and reproducible sequence-based strain identification of the mixed pathogens. Successful proof-of-concept experiments using clinical specimens show that this approach is potentially very useful for both diagnostics and epidemic surveillance.