Development of a droplet digital PCR assay for the detection of BK polyomavirus.

IF 3.7 2区 生物学 Q2 MICROBIOLOGY
Microbiology spectrum Pub Date : 2024-11-05 Epub Date: 2024-10-14 DOI:10.1128/spectrum.01089-24
Lu Ai, Yating Zhao, Chianru Tan, Lu Bai, Gang Huang, Ruizhi Wang, Hao Huang, Xuegao Yu, Yong Guo, Peisong Chen
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引用次数: 0

Abstract

The objective of this study was to establish a more sensitive and specific diagnostic method for detecting plasma BK polyomavirus (BKPyV) DNA load in patients after renal transplantation using droplet digital polymerase chain reaction (ddPCR) and to validate the methodology. The linear range, lower limit of detection, accuracy, precision, and specificity of the detection system were evaluated by using the WHO BKPyV standard (7.2 log10 IU/mL) as a reference, in accordance with the relevant documents of the Clinical and Laboratory Standards Institute. Plasma samples were collected from 74 renal transplantation patients with urinary BKPyV-DNA levels exceeding 7 log10 copies/mL. Quantitative PCR (qPCR) and ddPCR were performed, and their diagnostic efficacy for BKPyV-DNA in the diagnosis of BK polyomavirus-associated nephropathy was evaluated using a receiver operating characteristic (ROC) curve. The coefficients of variation for the repeated detection of BKPyV standard DNA were 2.55 and 4.71 at concentrations of 6.2 and 3.2 log10 IU/mL, respectively. The linear range was 2.2-6.2 log10 IU/mL, and the lowest detection limit was 100 IU/mL. By utilizing histopathological examination of renal biopsy as the gold standard for BKPyV diagnosis, the area under the ROC curve of 74 post-transplantation plasma samples detected by the ddPCR system was found to be 0.875 (95% CI: 0.797-0.953, P < 0.01). The optimal threshold was 512.86 copies/mL, with a sensitivity of 90.0% and a specificity of 67.6%. In comparison, the area under the ROC curve for qPCR was 0.668 (95% CI: 0.583-0.752, P < 0.01), with an optimal threshold of 11,481.54 copies/mL, a sensitivity of 35.0%, and a specificity of 100.0%. Pairwise comparison (Delong test) of the ROC curves of the two systems showed a significant difference in the area under the curve, with a difference of 0.207 and a P-value <0.01. The BKPyV nucleic acid detection system, based on ddPCR, is appropriate for the regular monitoring of the BK polyomavirus, specifically in plasma samples containing low viral DNA loads while it provides the benefits of both absolute quantification and high sensitivity.IMPORTANCEIt was previously believed that droplet digital polymerase chain reaction had limitations, including high cost, limited throughput, and cumbersome operation, which hindered its widespread application in clinical practice. However, the current fully automated digital PCR platform, combined with streamlined operations, can detect 96 samples at once, and the entire process can be completed within an hour, laying a solid foundation for its extensive use.

开发用于检测 BK 多瘤病毒的液滴数字 PCR 检测法。
本研究旨在利用液滴数字聚合酶链反应(ddPCR)建立一种更灵敏、更特异的诊断方法,用于检测肾移植后患者血浆中的 BK 多瘤病毒(BKPyV)DNA 负载,并对该方法进行验证。根据临床和实验室标准协会的相关文件,以世界卫生组织的 BKPyV 标准(7.2 log10 IU/mL)为参照,评估了检测系统的线性范围、检测下限、准确度、精密度和特异性。从 74 名尿液中 BKPyV-DNA 水平超过 7 log10 copies/mL 的肾移植患者身上采集了血浆样本。进行了定量 PCR(qPCR)和 ddPCR,并使用接收者操作特征曲线(ROC)评估了它们在诊断 BK 多瘤病毒相关肾病时对 BKPyV-DNA 的诊断效果。在浓度为 6.2 和 3.2 log10 IU/mL 时,重复检测 BKPyV 标准 DNA 的变异系数分别为 2.55 和 4.71。线性范围为 2.2-6.2 log10 IU/mL,最低检测限为 100 IU/mL。将肾活检组织病理学检查作为诊断 BKPyV 的金标准,发现 ddPCR 系统检测 74 份移植后血浆样本的 ROC 曲线下面积为 0.875(95% CI:0.797-0.953,P <0.01)。最佳阈值为 512.86 拷贝/毫升,灵敏度为 90.0%,特异度为 67.6%。相比之下,qPCR 的 ROC 曲线下面积为 0.668(95% CI:0.583-0.752,P <0.01),最佳阈值为 11,481.54 拷贝/毫升,灵敏度为 35.0%,特异性为 100.0%。对两种系统的 ROC 曲线进行配对比较(Delong 检验)显示,曲线下面积有显著差异,差异为 0.207,P 值为
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来源期刊
Microbiology spectrum
Microbiology spectrum Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.20
自引率
5.40%
发文量
1800
期刊介绍: Microbiology Spectrum publishes commissioned review articles on topics in microbiology representing ten content areas: Archaea; Food Microbiology; Bacterial Genetics, Cell Biology, and Physiology; Clinical Microbiology; Environmental Microbiology and Ecology; Eukaryotic Microbes; Genomics, Computational, and Synthetic Microbiology; Immunology; Pathogenesis; and Virology. Reviews are interrelated, with each review linking to other related content. A large board of Microbiology Spectrum editors aids in the development of topics for potential reviews and in the identification of an editor, or editors, who shepherd each collection.
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