Serum Protein-Based Profiles for the Diagnostic Model of Alzheimer's Disease.

Li Yang, Liang He, Zhibin Bu, Cheng Xuan, Caiyan Yu, Jiong Wu
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Abstract

Background: Determining a non-invasive, serum-based diagnostic panel for early diagnosis of AD will play a significant role in the prevention and treatment of the disease.

Methods: We performed standardized clinical assessments and neuroimaging measurements in 45 patients with AD and an equal number of sex - and age-matched controls. 48 target peptides of 14 identified target proteins were quantitatively analyzed by PRM.

Results: 8 protein markers were screened, including SAA4, PPBP, PF4, APOA4, F10, CPB2, C1S and IGHM. An diagnosis panel including 8 proteins and demographic characteristics markers respectively was found to be the robust with a AUC of 92.3%.

Conclusions: Our study developed a new panel including protein and demographic characteristics that could be used to distinguish AD from control candidates.

基于血清蛋白谱的阿尔茨海默病诊断模型。
背景:确定一种无创的、以血清为基础的早期AD诊断组,将对AD的预防和治疗起到重要作用。方法:我们对45例AD患者和同等数量的性别和年龄匹配的对照组进行了标准化的临床评估和神经影像学测量。用PRM定量分析了鉴定的14个靶蛋白的48个靶肽。结果:共筛选到SAA4、PPBP、PF4、APOA4、F10、CPB2、C1S、IGHM 8种蛋白标志物。分别包含8种蛋白质和人口统计学特征标记的诊断组是稳健的,AUC为92.3%。结论:我们的研究开发了一个新的面板,包括蛋白质和人口统计学特征,可用于区分AD与对照候选人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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