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A resequencing pathogen microarray method for high-throughput molecular diagnosis of multiple etiologies associated with central nervous system infection
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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087039/ https://www.ncbi.nlm.nih.gov/pubmed/28913577 http://dx.doi.org/10.1007/s00705-017-3550-7 |
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author | Wang, Ji Yu, Panhui Xie, Zhengde Yan, Tengfei Chen, Chen Shen, Xinxin Chen, Xiangpeng Li, Lixin Wang, Xiuxia Sun, Suzhen Ma, Xuejun |
author_facet | Wang, Ji Yu, Panhui Xie, Zhengde Yan, Tengfei Chen, Chen Shen, Xinxin Chen, Xiangpeng Li, Lixin Wang, Xiuxia Sun, Suzhen Ma, Xuejun |
author_sort | Wang, Ji |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00705-017-3550-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7087039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-70870392020-03-23 A resequencing pathogen microarray method for high-throughput molecular diagnosis of multiple etiologies associated with central nervous system infection Wang, Ji Yu, Panhui Xie, Zhengde Yan, Tengfei Chen, Chen Shen, Xinxin Chen, Xiangpeng Li, Lixin Wang, Xiuxia Sun, Suzhen Ma, Xuejun Arch Virol Original Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00705-017-3550-7) contains supplementary material, which is available to authorized users. Springer Vienna 2017-09-14 2017 /pmc/articles/PMC7087039/ /pubmed/28913577 http://dx.doi.org/10.1007/s00705-017-3550-7 Text en © Springer-Verlag GmbH Austria 2017 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Wang, Ji Yu, Panhui Xie, Zhengde Yan, Tengfei Chen, Chen Shen, Xinxin Chen, Xiangpeng Li, Lixin Wang, Xiuxia Sun, Suzhen Ma, Xuejun A resequencing pathogen microarray method for high-throughput molecular diagnosis of multiple etiologies associated with central nervous system infection |
title | A resequencing pathogen microarray method for high-throughput molecular diagnosis of multiple etiologies associated with central nervous system infection |
title_full | A resequencing pathogen microarray method for high-throughput molecular diagnosis of multiple etiologies associated with central nervous system infection |
title_fullStr | A resequencing pathogen microarray method for high-throughput molecular diagnosis of multiple etiologies associated with central nervous system infection |
title_full_unstemmed | A resequencing pathogen microarray method for high-throughput molecular diagnosis of multiple etiologies associated with central nervous system infection |
title_short | A resequencing pathogen microarray method for high-throughput molecular diagnosis of multiple etiologies associated with central nervous system infection |
title_sort | resequencing pathogen microarray method for high-throughput molecular diagnosis of multiple etiologies associated with central nervous system infection |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087039/ https://www.ncbi.nlm.nih.gov/pubmed/28913577 http://dx.doi.org/10.1007/s00705-017-3550-7 |
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