Blood-Based Protein Biomarkers for Diagnosis of Alzheimer Disease

被引:300
作者
Doecke, James D. [2 ,3 ,4 ]
Laws, Simon M. [1 ,5 ]
Faux, Noel G. [6 ]
Wilson, William [3 ,4 ]
Burnham, Samantha C.
Lam, Chiou-Peng [8 ]
Mondal, Alinda [1 ,5 ]
Bedo, Justin
Bush, Ashley I. [6 ]
Brown, Belinda [1 ,5 ]
De Ruyck, Karl [1 ,5 ]
Ellis, Kathryn A. [7 ]
Fowler, Christopher [6 ]
Gupta, Veer B. [1 ,5 ]
Head, Richard [3 ]
Macaulay, S. Lance [3 ]
Pertile, Kelly [6 ]
Rowe, Christopher C. [9 ]
Rembach, Alan [6 ]
Rodrigues, Mark [1 ,5 ]
Rumble, Rebecca [6 ]
Szoeke, Cassandra [3 ,10 ]
Taddei, Kevin [1 ,5 ]
Taddei, Tania [1 ,5 ]
Trounson, Brett [6 ]
Ames, David [7 ,10 ]
Masters, Colin L. [6 ,10 ,11 ]
Martins, Ralph N. [1 ,5 ]
机构
[1] Edith Cowan Univ, Sch Med Sci, Ctr Excellence Alzheimers Dis Res & Care, Joondalup, WA 6027, Australia
[2] Royal Brisbane & Womens Hosp, Australian E Hlth Res Ctr, Herston, Qld, Australia
[3] CSIRO Mat Sci & Engn CMSE, Commonwealth Sci & Ind Res Org CSIRO Preventat Hl, Parkville, Vic, Australia
[4] Macquarie Univ, CSIRO Math & Informat Sci, N Ryde, NSW 2109, Australia
[5] Hollywood Private Hosp, Sir James McCusker Alzheimers Dis Res Unit, Perth, WA, Australia
[6] Mental Hlth Res Inst, Parkville, Vic, Australia
[7] Univ Melbourne, Dept Psychiat, Acad Unit Psychiat Old Age, St Vincents Aged Psychiat Serv, Parkville, Vic 3052, Australia
[8] Edith Cowan Univ, Sch Comp & Secur Sci, Mt Lawley, WA, Australia
[9] Austin Hlth, Heidelberg, Vic, Australia
[10] Natl Ageing Res Inst, Parkville, Vic, Australia
[11] Univ Melbourne, Ctr Neurosci, Parkville, Vic 3052, Australia
基金
美国国家卫生研究院; 澳大利亚国家健康与医学研究理事会; 英国医学研究理事会; 加拿大健康研究院;
关键词
FACTOR BINDING-PROTEINS; CEREBROSPINAL-FLUID; AMYLOID-BETA; APOLIPOPROTEIN-E; PLASMA; SERUM; AIBL; CLASSIFICATION; ALGORITHM; ATROPHY;
D O I
10.1001/archneurol.2012.1282
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective: To identify plasma biomarkers for the diagnosis of Alzheimer disease (AD). Design: Baseline plasma screening of 151 multiplexed analytes combined with targeted biomarker and clinical pathology data. Setting: General community-based, prospective, longitudinal study of aging. Participants: A total of 754 healthy individuals serving as controls and 207 participants with AD from the Australian Imaging Biomarker and Lifestyle study (AIBL) cohort with identified biomarkers that were validated in 58 healthy controls and 112 individuals with AD from the Alzheimer Disease Neuroimaging Initiative (ADNI) cohort. Results: A biomarker panel was identified that included markers significantly increased (cortisol, pancreatic polypeptide, insulinlike growth factor binding protein 2, beta(2) microglobulin, vascular cell adhesion molecule 1, carcinoembryonic antigen, matrix metalloprotein 2, CD40, macrophage inflammatory protein 1 alpha, superoxide dismutase, and homocysteine) and decreased (apolipoprotein E, epidermal growth factor receptor, hemoglobin, calcium, zinc, interleukin 17, and albumin) in AD. Cross-validated accuracy measures from the AIBL cohort reached a mean (SD) of 85% (3.0%) for sensitivity and specificity and 93% (3.0) for the area under the receiver operating characteristic curve. A second validation using the ADNI cohort attained accuracy measures of 80% (3.0%) for sensitivity and specificity and 85% (3.0) for area under the receiver operating characteristic curve. Conclusions: This study identified a panel of plasma biomarkers that distinguish individuals with AD from cognitively healthy control subjects with high sensitivity and specificity. Cross-validation within the AIBL cohort and further validation within the ADNI cohort provides strong evidence that the identified biomarkers are important for AD diagnosis.
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收藏
页码:1318 / 1325
页数:8
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