| Identification of a blood-based biomarker panel for classification of Alzheimer's disease. | |
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MedLine Citation:
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PMID: 21466745 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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An ideal diagnostic test for Alzheimer's disease (AD) should be non-invasive and easily applicable. Thus, there is a clear need to search for biomarkers in blood. In the present study, we have used multivariate data analysis [support vector machine (SVM)] to investigate whether a blood-based biomarker panel allows discrimination between AD patients and healthy controls at the individual level. We collected a total of 155 serum samples from individuals with early AD and age-matched healthy controls and measured serum levels of 24 markers involved in several biological pathways by ELISA. The dataset was randomly split into a training set for predictor discovery and classification training and a test set for class prediction of blinded samples (3:1 ratio) to evaluate the chosen predictors and parameters. After selection of a feature group of the three most discriminative parameters (cortisol, von Willebrand factor, oxidized LDL antibodies) in the training set, the application of SVM to the training/independent test dataset resulted in an 81.7%/87.1% correct classification for AD and control subjects. In conclusion, we identified a panel of three blood markers, which allowed SVM-based distinguishing of AD patients from healthy controls on a single-subject classification level with clinically relevant accuracy and validity. Blood-based biomarkers might have utility in AD diagnostics as screening tool before further classification with CSF biomarkers and imaging. Future studies should examine whether blood-based biomarkers may also be useful to differentiate AD patients from other dementias. |
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Authors:
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Christoph Laske; Thomas Leyhe; Elke Stransky; Nadine Hoffmann; Andreas J Fallgatter; Janko Dietzsch |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-4-5 |
Journal Detail:
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Title: The international journal of neuropsychopharmacology / official scientific journal of the Collegium Internationale Neuropsychopharmacologicum (CINP) Volume: - ISSN: 1469-5111 ISO Abbreviation: - Publication Date: 2011 Apr |
Date Detail:
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Created Date: 2011-4-6 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9815893 Medline TA: Int J Neuropsychopharmacol Country: - |
Other Details:
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Languages: ENG Pagination: 1-9 Citation Subset: - |
Affiliation:
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Department of Psychiatry and Psychotherapy, University of Tuebingen, Tuebingen, Germany. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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