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Clinical Utility of Plasma Lipid Peroxidation Biomarkers in Alzheimer’s Disease Differential Diagnosis

机译:血浆脂质过氧化生物标志物在阿尔茨海默病鉴别诊断中的临床效用

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摘要

Background: Differential diagnosis of Alzheimer’s disease (AD) is a complex task due to the clinical similarity among neurodegenerative diseases. Previous studies showed the role of lipid peroxidation in early AD development. However, the clinical validation of potential specific biomarkers in minimally invasive samples constitutes a great challenge in early AD diagnosis. Methods: Plasma samples from participants classified into AD ( = 138), non-AD (including MCI and other dementias not due to AD) ( = 70) and healthy ( = 50) were analysed. Lipid peroxidation compounds (isoprostanes, isofurans, neuroprostanes, neurofurans) were determined by ultra-performance liquid chromatography coupled with tandem mass spectrometry. Statistical analysis for biomarkers’ clinical validation was based on Elastic Net. Results: A two-step diagnosis model was developed from plasma lipid peroxidation products to diagnose early AD specifically, and a bootstrap validated AUC of 0.74 was obtained. Conclusion: A promising AD differential diagnosis model was developed. It was clinically validated as a screening test. However, further external validation is required before clinical application.
机译:背景:Alzheimer疾病(AD)的差异诊断是一种复杂的任务,因为神经变性疾病的临床相似性。以前的研究表明脂质过氧化在早期广告发育中的作用。然而,在微创样品中潜在特异性生物标志物的临床验证在早期广告诊断中构成了巨大的挑战。方法:分析来自分类为AD(= 138)的参与者的血浆样品,分析非AD(包括MCI和其他痴呆而不是AD)(= 70)和健康(= 50)。通过与串联质谱法偶联的超级性液相色谱法测定脂质过氧化化合物(异丙醇,异丙烷,神经呼吸冬醇,神经喂过呋喃)。生物标志物的临床验证统计分析基于弹性网。结果:从血浆脂质过氧化产物开发了两步诊断模型,特别是早期广告,获得了验证的0.74的验证AUC。结论:开发了一个有前途的广告差异诊断模型。它被临床验证为筛选试验。但是,在临床应用之前需要进一步的外部验证。

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