Abstract
Central nervous system infection (CNSI) results in significant health and economic burdens worldwide, but the diversity of causative pathogens makes differential diagnosis very difficult. Although PCR and real-time fluorescent quantitative PCR (q-PCR) assays are widely applied for pathogen detection, they are generally optimized for the detection of a single or limited number of targets and are not suitable for the diagnosis of numerous CNSI agents. In this study, we describe the development of a resequencing pathogen microarray (RPM-IVDC4) method for the simultaneous detection of viruses, bacteria, fungi and parasites that cause CNSI. The test panel of this assay included more than 100 microorganism species across 45 genera and 30 families. The analytical specificity and sensitivity were examined using a panel of positive reference strains, and the clinical performance was evaluated using 432 clinical samples by comparing the results with q-PCR assays. Our results demonstrated good performance of the RPM-IVDC4 assay in terms of sensitivity, specificity and detection range, suggesting that the platform can be further developed for high-throughput CNSI diagnosis.


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Xuejun Ma, Suzhen Sun and Ji Wang designed the study; Ji Wang, Panhui Yu and Tengfei Yan performed the RPM experiments; Chen Chen and Xinxin Shen prepared the samples and the labware; Xiangpeng Chen and ZhengdeXie analyzed the data; Lixin Li, Xiuxia Wang, ZhengdeXie and Suzhen Sun collected the samples and performed q-PCR. Ji Wang wrote the manuscript. The first three authors in the author list contributed equally to this research.
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The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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This work was supported by the National Key Research and Development Plan (2016TFC1202700, 2016YFC120090), Beijing Municipal Science and Technology Commission Project (D151100002115003), the Capital Clinical Feature Project of Beijing Technology Program (Z151100004015046), and Guangzhou Municipal Science and Technology Commission Project (2015B2150820).
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Wang, J., Yu, P., Xie, Z. et al. A resequencing pathogen microarray method for high-throughput molecular diagnosis of multiple etiologies associated with central nervous system infection. Arch Virol 162, 3769–3778 (2017). https://doi.org/10.1007/s00705-017-3550-7
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DOI: https://doi.org/10.1007/s00705-017-3550-7


