Modeling of Pathological Traits in Alzheimer's Disease Based on Systemic Extracellular Signaling Proteome

被引:37
作者
Britschgi, Markus [1 ]
Rufibach, Kaspar [2 ]
Huang, Sarah L. Bauer [1 ]
Clark, Christopher M. [3 ,4 ]
Kaye, Jeffrey A. [5 ]
Li, Ge [6 ]
Peskind, Elaine R. [6 ,7 ]
Quinn, Joseph F. [5 ]
Galasko, Douglas R. [8 ]
Wyss-Coray, Tony [1 ,9 ]
机构
[1] Stanford Univ, Dept Neurol & Neurol Sci, Sch Med, Stanford, CA 94305 USA
[2] Univ Zurich, Inst Social & Prevent Med, Div Biostat, CH-8001 Zurich, Switzerland
[3] Univ Penn, Dept Neurol, Rush Alzheimers Dis Ctr, Philadelphia, PA 19104 USA
[4] Univ Penn, Inst Aging, Philadelphia, PA 19104 USA
[5] Oregon Hlth & Sci Univ, Layton Aging & Alzheimers Dis Ctr, Portland, OR 97201 USA
[6] Univ Washington, Sch Med, Dept Psychiat & Behav Sci, Seattle, WA 98108 USA
[7] Mental Illness Res Educ & Clin Ctr, Vet Affairs NW Network, Seattle, WA 98108 USA
[8] Univ Calif San Diego, Dept Neurosci, La Jolla, CA 92093 USA
[9] Vet Affairs Palo Alto Hlth Care Syst, Ctr Tissue Regenerat Repair & Restorat, Palo Alto, CA 94304 USA
关键词
MILD-COGNITIVE-IMPAIRMENT; ACID-BINDING PROTEINS; BIOMARKER SIGNATURE; CSF MARKERS; BRAIN-TYPE; DIAGNOSIS; SERUM; NEURODEGENERATION; REGULARIZATION; PREDICTION;
D O I
10.1074/mcp.M111.008862
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The study of chronic brain diseases including Alzheimer's disease in patients is typically limited to brain imaging or psychometric testing. Given the epidemic rise and insufficient knowledge about pathological pathways in sporadic Alzheimer's disease, new tools are required to identify the molecular changes underlying this disease. We hypothesize that levels of specific secreted cellular signaling proteins in cerebrospinal fluid or plasma correlate with pathological changes in the Alzheimer's disease brain and can thus be used to discover signaling pathways altered in the disease. Here we measured 91 proteins of this subset of the cellular communication proteome in plasma or cerebrospinal fluid in patients with Alzheimer's disease and cognitively normal controls to mathematically model disease-specific molecular traits. We found small numbers of signaling proteins that were able to model key pathological markers of Alzheimer's disease, including levels of cerebrospinal fluid beta-amyloid and tau, and classify disease in independent samples. Several of these factors had previously been implicated in Alzheimer's disease supporting the validity of our approach. Our study also points to proteins which were previously unknown to be associated with Alzheimer's disease thereby implicating novel signaling pathways in this disorder. Molecular & Cellular Proteomics 10: 10.1074/mcp.M111.008862, 1-11, 2011.
引用
收藏
页数:11
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