Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, Bagnols-sur-Cèze, France.
Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, Bagnols-sur-Cèze, France.
Mol Cell Proteomics. 2024 Oct;23(10):100822. doi: 10.1016/j.mcpro.2024.100822. Epub 2024 Jul 30.
Accurate and rapid identification of viruses is crucial for an effective medical diagnosis when dealing with infections. Conventional methods, including DNA amplification techniques or lateral-flow assays, are constrained to a specific set of targets to search for. In this study, we introduce a novel tandem mass spectrometry proteotyping-based method that offers a universal approach for the identification of pathogenic viruses and other components, eliminating the need for a priori knowledge of the sample composition. Our protocol relies on a time and cost-efficient peptide sample preparation, followed by an analysis with liquid chromatography coupled to high-resolution tandem mass spectrometry. As a proof of concept, we first assessed our method on publicly available shotgun proteomics datasets obtained from virus preparations and fecal samples of infected individuals. Successful virus identification was achieved with 53 public datasets, spanning 23 distinct viral species. Furthermore, we illustrated the method's capability to discriminate closely related viruses within the same sample, using alphaviruses as an example. The clinical applicability of our method was demonstrated by the accurate detection of the vaccinia virus in spiked saliva, a matrix of paramount clinical significance due to its non-invasive and easily obtainable nature. This innovative approach represents a significant advancement in pathogen detection and paves the way for enhanced diagnostic capabilities.
准确快速地识别病毒对于感染时的有效医学诊断至关重要。传统方法,包括 DNA 扩增技术或侧流分析,都局限于特定的目标集进行搜索。在这项研究中,我们引入了一种新的串联质谱蛋白质组学方法,为病原病毒和其他成分的鉴定提供了一种通用方法,无需事先了解样品组成。我们的方案依赖于耗时和成本效益高的肽样品制备,然后通过液相色谱与高分辨率串联质谱联用进行分析。作为概念验证,我们首先在公开的病毒制剂和感染个体粪便样本的 shotgun 蛋白质组学数据集上评估了我们的方法。成功识别了 53 个公共数据集,涵盖了 23 种不同的病毒物种。此外,我们还展示了该方法在同一样本中区分密切相关病毒的能力,以甲病毒为例。该方法的临床适用性通过在具有重要临床意义的非侵入性和易于获得的唾液基质中准确检测痘苗病毒得到了证明。这种创新方法代表了病原体检测的重大进展,为增强诊断能力铺平了道路。