Association of Blood-Based DNA Methylation Markers With Late-Onset Alzheimer Disease

被引:9
|
作者
Acha, Blanca [1 ]
Corroza, Jon [2 ]
de Gordoa, Javier Sanchez-Ruiz [1 ,2 ]
Cabello, Carolina [1 ,2 ]
Robles, Maitane [1 ]
Mendez-Lopez, Ivan [1 ,3 ]
Macias, Monica [1 ]
Zueco, Sara [1 ]
Roldan, Miren [1 ]
Urdanoz-Casado, Amaya [1 ]
Jerico, Ivonne [1 ,2 ]
Erro, Maria Elena [1 ,2 ]
Alcolea, Daniel [4 ,5 ]
Lleo, Alberto [4 ,5 ]
Blanco-Luquin, Idoia [1 ]
Mendioroz, Maite [1 ,2 ]
机构
[1] Univ Publ Navarra UPNA, Hosp Univ Navarra, Navarrabiomed, IdiSNA,Navarra Inst Hlth Res, Pamplona, Spain
[2] Hosp Univ Navarra, Navarra Inst Hlth Res, IdiSNA, Dept Neurol, Pamplona, Spain
[3] Hosp Univ Navarra, Navarra Inst Hlth Res, IdiSNA, Dept Internal Med, Pamplona, Spain
[4] Univ Autonoma Barcelona, Hosp Santa Creu & St Pau, Inst Invest Biomed St Pau IIB St Pau, Dept Neurol, Barcelona, Catalunya, Brazil
[5] CIBERNED, Ctr Invest Biomed Red Enfermedades Neurodegenerat, Madrid, Spain
关键词
AMYLOID-BETA; ABCA7; DIAGNOSIS; EXPRESSION; ANK1; BIN1;
D O I
10.1212/WNL.0000000000207865
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and ObjectivesThere is an urgent need to identify novel noninvasive biomarkers for Alzheimer disease (AD) diagnosis. Recent advances in blood-based measurements of phosphorylated tau (pTau) species are promising but still insufficient to address clinical needs. Epigenetics has been shown to be helpful to better understand AD pathogenesis. Epigenetic biomarkers have been successfully implemented in other medical disciplines, such as oncology. The objective of this study was to explore the diagnostic accuracy of a blood-based DNA methylation marker panel as a noninvasive tool to identify patients with late-onset Alzheimer compared with age-matched controls.MethodsA case-control study was performed. Blood DNA methylation levels at 46 cytosine-guanine sites (21 genes selected after a comprehensive literature search) were measured by bisulfite pyrosequencing in patients with "probable AD dementia" following National Institute on Aging and the Alzheimer's Association guidelines (2011) and age-matched and sex-matched controls recruited at Neurology Department-University Hospital of Navarre, Spain, selected by convenience sampling. Plasma pTau181 levels were determined by Simoa technology. Multivariable logistic regression analysis was performed to explore the optimal model to discriminate patients with AD from controls. Furthermore, we performed a stratified analysis by sex.ResultsThe final study cohort consisted of 80 patients with AD (age: median [interquartile range] 79 [11] years; 58.8% female) and 100 cognitively healthy controls (age 77 [10] years; 58% female). A panel including DNA methylation levels at NXN, ABCA7, and HOXA3 genes and plasma pTau181 significantly improved (area under the receiver operating characteristic curve 0.93, 95% CI 0.89-0.97) the diagnostic performance of a single pTau181-based model, adjusted for age, sex, and APOE e4 genotype. The sensitivity and specificity of this panel were 83.30% and 90.00%, respectively. After sex-stratified analysis, HOXA3 DNA methylation levels showed consistent association with AD.DiscussionThese results highlight the potential translational value of blood-based DNA methylation biomarkers for noninvasive diagnosis of AD.Registration InformationResearch Ethics Committee of the University Hospital of Navarre (PI17/02218).
引用
收藏
页码:E2434 / E2447
页数:14
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