In:
Dementia and Geriatric Cognitive Disorders, S. Karger AG, Vol. 44, No. 1-2 ( 2017), p. 25-34
Abstract:
〈 b 〉 〈 i 〉 Background: 〈 /i 〉 〈 /b 〉 Alzheimer disease (AD) is a progressive neurodegenerative disease with a complex multifactorial etiology. Here, we aim to identify a biomarker pool comprised of genetic variants and blood biomarkers as predictor of AD risk. 〈 b 〉 〈 i 〉 Methods: 〈 /i 〉 〈 /b 〉 We performed a case-control study involving 108 cases and 159 non-demented healthy controls to examine the association of multiple biomarkers with AD risk. 〈 b 〉 〈 i 〉 Results: 〈 /i 〉 〈 /b 〉 The 〈 i 〉 APOE 〈 /i 〉 genotyping revealed that ε4 allele frequency was significantly high ( 〈 i 〉 p 〈 /i 〉 value = 0.0001, OR = 2.66, 95% CI 1.58-4.46) in AD as compared to controls, whereas ε2 ( 〈 i 〉 p 〈 /i 〉 = 0.0430, OR = 0.29, CI 0.07-1.10) was overrepresented in controls. In biochemical assays, significant differences in levels of total copper, free copper, zinc, copper/zinc ratio, iron, epidermal growth factor receptor (EGFR), leptin, and albumin were also observed. The AD risk score (ADRS) as a linear combination of 6 candidate markers involving age, education status, 〈 i 〉 APOE 〈 /i 〉 ε4 allele, levels of iron, Cu/Zn ratio, and EGFR was created using stepwise linear discriminant analysis. The area under the ROC curve of the ADRS panel for predicting AD risk was significantly high (AUC = 0.84, 〈 i 〉 p 〈 /i 〉 〈 0.0001, 95% CI 0.78-0.89, sensitivity = 70.0%, specificity = 83.8%) compared to individual parameters. 〈 b 〉 〈 i 〉 Conclusion: 〈 /i 〉 〈 /b 〉 These findings support the multifactorial etiology of AD and demonstrate the ability of a panel involving 6 biomarkers to discriminate AD cases from non-demented healthy controls.
Type of Medium:
Online Resource
ISSN:
1420-8008
,
1421-9824
Language:
English
Publisher:
S. Karger AG
Publication Date:
2017
detail.hit.zdb_id:
1482186-2
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