A Targeted LC-MRM3 Proteomic Approach for the Diagnosis of SARS-CoV-2 Infection in Nasopharyngeal Swabs.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Molecular & Cellular Proteomics Pub Date : 2024-07-01 Epub Date: 2024-06-17 DOI:10.1016/j.mcpro.2024.100805
Nicolas Drouin, Hyung L Elfrink, Stefan A Boers, Sam van Hugten, Els Wessels, Jutte J C de Vries, Geert H Groeneveld, Paul Miggiels, Bart Van Puyvelde, Maarten Dhaenens, Andries E Budding, Leonie Ran, Roy Masius, Zoltan Takats, Arjen Boogaerds, Markus Bulters, Wouter Muurlink, Paul Oostvogel, Amy C Harms, Mariken van der Lubben, Thomas Hankemeier
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Abstract

Since its first appearance, severe acute respiratory syndrome coronavirus 2 quickly spread around the world and the lack of adequate PCR testing capacities, especially during the early pandemic, led the scientific community to explore new approaches such as mass spectrometry (MS). We developed a proteomics workflow to target several tryptic peptides of the nucleocapsid protein. A highly selective multiple reaction monitoring-cubed (MRM3) strategy provided a sensitivity increase in comparison to conventional MRM acquisition. Our MRM3 approach was first tested on an Amsterdam public health cohort (alpha-variant, 760 participants) detecting viral nucleocapsid protein peptides from nasopharyngeal swabs samples presenting a cycle threshold value down to 35 with sensitivity and specificity of 94.2% and 100.0%, without immunopurification. A second iteration of the MS-diagnostic test, able to analyze more than 400 samples per day, was clinically validated on a Leiden-Rijswijk public health cohort (delta-variant, 2536 participants) achieving 99.9% specificity and 93.1% sensitivity for patients with cycle threshold values up to 35. In this manuscript, we also developed and brought the first proof of the concept of viral variant monitoring in a complex matrix using targeted MS.

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用于诊断鼻咽拭子中 SARS-CoV-2 感染的定向 LC-MRM3 蛋白质组学方法。
自首次出现以来,SARS-CoV-2 迅速在全球蔓延,由于缺乏足够的 PCR 检测能力(尤其是在大流行初期),科学界开始探索质谱法(MS)等新方法。我们开发了一种蛋白质组学工作流程,以核壳蛋白(NCAP)的几种胰蛋白酶肽为靶标。与传统的 MRM 采集相比,高选择性多反应监测 MRM3 策略提高了灵敏度。我们的 MRM3 方法首先在阿姆斯特丹公共卫生队列(α-变体,760 名参与者)中进行了测试,从周期阈值(Ct)低至 35 的鼻咽拭子样本中检测病毒 NCAP 肽,灵敏度和特异性分别为 94.2% 和 100.0%,且无需免疫纯化。MS 诊断测试的第二次迭代每天可分析 400 多份样本,并在莱顿-莱斯韦克公共卫生队列(δ变体,2536 名参与者)中进行了临床验证,对 Ct 值低于 35 的患者的特异性和灵敏度分别达到 99.9% 和 93.1%。在这篇手稿中,我们还开发并首次证明了利用靶向质谱在复杂基质中监测病毒变异体的概念。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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