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基于高分辨质谱的阿尔茨海默病尿液生物标志物的观察性研究。

An observation study of urinary biomarker exploratory in Alzheimer's disease using high-resolution mass spectrometry.

机构信息

Shanghai Baoshan Elderly Care Home, Shanghai, China.

Neurology Department, Shanghai Baoshan Luodian Hospital, Shanghai, China.

出版信息

Biomed Chromatogr. 2022 Sep;36(9):e5421. doi: 10.1002/bmc.5421. Epub 2022 Jun 9.

DOI:10.1002/bmc.5421
PMID:35653409
Abstract

Alzheimer's disease (AD) is regarded as a progressive neurodegenerative dementia, characterized by degeneration of distinct neuronal populations. A case-control study was carried out using high-resolution mass spectrometry to explore AD-associated urinary metabolic biomarkers from 30 AD patients and 30 cognitively normal (CN) individuals. In total, 49 metabolites were determined and validated as known compounds using LC/MS analysis. Using the two-sample t-test statistical analysis (P < 0.05), 19 metabolites were shown to be significantly different from AD to CN. A diagnostic model of the receiver operating characteristic curve was constructed with a combination of nine molecules out of 19 metabolites, it yielded a separation with an area under the curve value of 0.976 between the two groups. This study indicated that urinary metabolites showed a significant expression between AD and CN. AD-related metabolites enable to satisfy the diagnostic power of disease discrimination. In addition, as a noninvasive approach, urine collection is done easily in clinical diagnosis of AD.

摘要

阿尔茨海默病(AD)被认为是一种进行性神经退行性痴呆,其特征是特定神经元群体的退化。本研究采用高分辨率质谱法,对 30 名 AD 患者和 30 名认知正常(CN)个体的尿液代谢生物标志物进行病例对照研究。通过 LC/MS 分析,共鉴定和验证了 49 种代谢物作为已知化合物。采用双样本 t 检验统计分析(P<0.05),发现 19 种代谢物在 AD 与 CN 之间存在显著差异。通过组合 19 种代谢物中的 9 种分子构建诊断模型的受试者工作特征曲线,两组之间的曲线下面积值为 0.976,具有良好的分离效果。本研究表明,AD 患者和 CN 个体的尿液代谢产物存在显著差异。AD 相关代谢物可以满足疾病诊断的能力。此外,作为一种非侵入性方法,尿液采集在 AD 的临床诊断中易于实施。

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