Development and Translation Mass Spectrometry Methods to Determine BioMarkers for Parkinson's Disease and Comorbidities

确定帕金森病和合并症生物标志物的质谱方法的开发和转化

• 批准号: 2907463
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2907463
• 关键词: Development; Translation; Mass; Spectrometry; Methods

This project will use advanced mass spectrometry methods to identify lipids and other metabolites that are found in sebum and are diagnostic of Parkinson's disease. These methods will include ion mobility mass spectrometry, accurate mass determination and state of the art tandem mass spectrometry including UVPD. In collaboration with Queens University Brisbane, the candidate will implement OZ-ID to resolve the location of saturated bonds. This discovery work will enable further development of targeted mass spectrometry assays that can be used for a triage diagnostic test to determine if someone has Parkinson's disease. We have discovered that skin swabs taken from the back of people's necks are rich in a biofluid called sebum. When we analyse the components of sebum with mass spectrometry, we are able to find compounds that are substantially upregulated in people with Parkinson's disease compared to matched control subjects. We are now in a position to translate this test to an accredited clinical biochemistry environment. In this project you will learn how to advance these findings by acquiring discovery MS data. You will then translate this to a targeted assay. A secondary aim will be to determine if the same sampling and analysis approach can be used to find comorbidities.

该项目将使用晚期质谱法来鉴定皮脂中发现的脂质和其他代谢产物，并且是帕金森氏病的诊断。这些方法将包括离子迁移率质谱，精确的质量测定和包括UVPD在内的艺术串联质谱法。与布里斯班皇后大学合作，候选人将实施OZ-ID来解决饱和债券的位置。这项发现工作将使有针对性的质谱分析进一步开发，该测定法可以用于分类诊断测试，以确定某人是否患有帕金森氏病。我们发现，从人们的脖子后面拿走的皮肤拭子富含一种叫做皮脂的生物流体。当我们通过质谱法分析皮脂的成分时，我们能够找到与匹配的对照组相比，帕金森氏病患者大大上调的化合物。现在，我们可以将此测试转化为经认可的临床生物化学环境。在此项目中，您将学习如何通过获取Discovery MS数据来推进这些发现。然后，您将其转换为有针对性的测定。次要目的是确定是否可以使用相同的采样和分析方法来找到合并症。