病毒浓度法在废水中病毒谱检测中的偏差。

IF 3.9 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Applied and Environmental Microbiology Pub Date : 2025-01-31 Epub Date: 2024-12-06 DOI:10.1128/aem.01339-24
Naeema Cheshomi, Absar Alum, Matthew F Smith, Efrem S Lim, Otakuye Conroy-Ben, Morteza Abbaszadegan
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引用次数: 0

摘要

用于基于废水的流行病学(WBE)研究的病毒检测方法具有广泛的功效。废水中复杂的基质和较低的病毒颗粒载量强调了浓缩法的重要性。本研究重点比较了三种常用的病毒浓缩方法:聚乙二醇沉淀(PEG)、免疫磁性纳米颗粒(IMNP)和电负性膜过滤(EMF)。采用该方法对进出水样进行处理,并进行DNA/RNA定量和测序分析,检测人体病毒。两种样品均采用所有方法检测SARS-COV-2、星状病毒和丙型肝炎病毒。聚乙二醇沉淀法在进水样品中检测到20种病毒,在出水样品中检测到16种病毒。检测到的相应病毒类型分别为IMNP的21种和11种,EMF的16种和8种。某些病毒只适用于一种浓缩方法。例如,PEG在进水中检测到三种病毒,在出水中检测到六种病毒,而IMNP在进水样品中检测到七种病毒,在出水样品中检测到一种病毒。然而,EMF方法似乎是最不有效的,在进水样品中检测到三种类型,而在流出样品中没有检测到。使用IMNP方法在进水样品中检测轮状病毒,而EMF和PEG方法未能产生类似的结果。因此,潜在的假阴性结果对WBE应用的可信度构成了风险。因此,在WBE研究中,实施适当的浓度技术对于最小化方法偏差和确保准确的病毒分析至关重要。近年来,大量的研究工作集中在基于废水的流行病学研究的病毒检测方法的发展上,显示出检测效率的一系列差异。在这类研究中,适当评估疾病流行和社区卫生至关重要,需要设计一种基于目标致病病毒的浓度方法。仍然需要在检测效率方面对各种方法进行比较绩效评价。本研究强调了样品基质、病毒结构和核酸组成对病毒浓缩方法效果的显著影响。评估WBE技术以确保准确检测和了解废水样品中的病毒存在,对于揭示城市废水样品中的病毒概况至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Viral concentration method biases in the detection of viral profiles in wastewater.

Viral detection methodologies used for wastewater-based epidemiology (WBE) studies have a broad range of efficacies. The complex matrix and low viral particle load in wastewater emphasize the importance of the concentration method. This study focused on comparing three commonly used virus concentration methods: polyethylene glycol precipitation (PEG), immuno-magnetic nanoparticles (IMNP), and electronegative membrane filtration (EMF). Influent and effluent wastewater samples were processed by the methods and analyzed by DNA/RNA quantification and sequencing for the detection of human viruses. SARS-COV-2, Astrovirus, and Hepatitis C virus were detected by all the methods in both sample types. PEG precipitation resulted in the detection of 20 types of viruses in influent and 16 types in effluent samples. The corresponding number of virus types detected was 21 and 11 for IMNP, and 16 and 8 for EMF. Certain viruses were unique to only one concentration method. For example, PEG detected three types of viruses in influent and six types in effluent compared to IMNP, which detected seven types in influent and one type in effluent samples. However, the EMF method appeared to be the least effective, detecting three types in influent and none in effluent samples. Rotavirus was detected in influent sample using IMNP method, whereas EMF and PEG methods failed to yield a similar outcome. Consequently, the potential false negative results pose a risk to the credibility of WBE applications. Therefore, implementation of a proper concentration technique is critical to minimize method biases and ensure accurate viral profiling in WBE studies.IMPORTANCEIn recent years, significant research efforts have been focused on the development of viral detection methodology for wastewater-based epidemiology studies, showing a range of variability in detection efficacies. A proper methodology is essential for an appropriate evaluation of disease prevalence and community health in such studies and necessitates designing a concentration method based on the target pathogenic virus. There remains a need for comparative performance evaluations of methods in the context of detection efficiencies. This study highlights the significant impact of sample matrix, viral structure, and nucleic acid composition on the efficacy of viral concentration methods. Assessing WBE techniques to ensure accurate detection and understanding of viral presence within wastewater samples is critical for revealing viral profiles in municipality wastewater samples.

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来源期刊
Applied and Environmental Microbiology
Applied and Environmental Microbiology 生物-生物工程与应用微生物
CiteScore
7.70
自引率
2.30%
发文量
730
审稿时长
1.9 months
期刊介绍: Applied and Environmental Microbiology (AEM) publishes papers that make significant contributions to (a) applied microbiology, including biotechnology, protein engineering, bioremediation, and food microbiology, (b) microbial ecology, including environmental, organismic, and genomic microbiology, and (c) interdisciplinary microbiology, including invertebrate microbiology, plant microbiology, aquatic microbiology, and geomicrobiology.
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