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基于靶向蛋白质组学和机器学习的多重尿液生物标志物panel 对阿尔茨海默病的诊断具有潜在价值。

A Multiplexed Urinary Biomarker Panel Has Potential for Alzheimer's Disease Diagnosis Using Targeted Proteomics and Machine Learning.

机构信息

Translational Mass Spectrometry Research Group, Genetics and Genomic Medicine, UCL Great Ormond Street Institute of Child Health, London WC1N 1EH, UK.

Faculty of Medicine, School of Public Health, Imperial College London, London SW7 2BX, UK.

出版信息

Int J Mol Sci. 2023 Sep 6;24(18):13758. doi: 10.3390/ijms241813758.

Abstract

As disease-modifying therapies are now available for Alzheimer's disease (AD), accessible, accurate and affordable biomarkers to support diagnosis are urgently needed. We sought to develop a mass spectrometry-based urine test as a high-throughput screening tool for diagnosing AD. We collected urine from a discovery cohort (n = 11) of well-characterised individuals with AD (n = 6) and their asymptomatic, CSF biomarker-negative study partners (n = 5) and used untargeted proteomics for biomarker discovery. Protein biomarkers identified were taken forward to develop a high-throughput, multiplexed and targeted proteomic assay which was tested on an independent cohort (n = 21). The panel of proteins identified are known to be involved in AD pathogenesis. In comparing AD and controls, a panel of proteins including MIEN1, TNFB, VCAM1, REG1B and ABCA7 had a classification accuracy of 86%. These proteins have been previously implicated in AD pathogenesis. This suggests that urine-targeted mass spectrometry has potential utility as a diagnostic screening tool in AD.

摘要

由于目前有针对阿尔茨海默病(AD)的疾病修饰疗法,因此迫切需要可用于支持诊断的、易于获取、准确且价格合理的生物标志物。我们试图开发一种基于质谱的尿液检测方法,作为 AD 的高通量筛选工具。我们从具有 AD(n = 6)特征的个体的发现队列(n = 11)中收集尿液,并对其无症状、CSF 生物标志物阴性的研究伙伴(n = 5)进行检测,使用非靶向蛋白质组学进行生物标志物发现。对鉴定出的蛋白质生物标志物进行进一步研究,开发高通量、多重和靶向蛋白质组学检测方法,并在独立队列(n = 21)中进行测试。确定的蛋白质组与 AD 发病机制有关。在比较 AD 和对照组时,一组包括 MIEN1、TNFB、VCAM1、REG1B 和 ABCA7 的蛋白质具有 86%的分类准确性。这些蛋白质先前已被牵涉到 AD 的发病机制中。这表明尿液靶向质谱法有可能成为 AD 的诊断筛查工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3229/10531486/148cd59e2954/ijms-24-13758-g001.jpg

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