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

基于血清蛋白谱的阿尔茨海默病诊断模型

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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.

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