Infrared spectroscopy: a new diagnostic tool in Alzheimer disease
Biological markers play an evolving role in the diagnosis of Alzheimer disease (AD). We compare conventional measurements of cerebrospinal fluid (CSF) tau and beta-amyloid(1-42) proteins to a novel approach - Fourier transformed infrared (FT-IR) spectroscopy - a simple technique derived from chemica...
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| Hauptverfasser: | , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
4 May 2007
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| In: |
Neuroscience letters
Year: 2007, Jahrgang: 420, Heft: 1, Pages: 29-33 |
| ISSN: | 1872-7972 |
| DOI: | 10.1016/j.neulet.2007.03.075 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.neulet.2007.03.075 |
| Verfasserangaben: | Martin Griebe, Michael Daffertshofer, Mark Stroick, Magdalena Syren, Parviz Ahmad-Nejad, Michael Neumaier, Juergen Backhaus, Michael G. Hennerici, Marc Fatar |
MARC
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| 245 | 1 | 0 | |a Infrared spectroscopy |b a new diagnostic tool in Alzheimer disease |c Martin Griebe, Michael Daffertshofer, Mark Stroick, Magdalena Syren, Parviz Ahmad-Nejad, Michael Neumaier, Juergen Backhaus, Michael G. Hennerici, Marc Fatar |
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| 520 | |a Biological markers play an evolving role in the diagnosis of Alzheimer disease (AD). We compare conventional measurements of cerebrospinal fluid (CSF) tau and beta-amyloid(1-42) proteins to a novel approach - Fourier transformed infrared (FT-IR) spectroscopy - a simple technique derived from chemical and physical sciences that characterizes intramolecular bonds. For automatic diagnostic analysis, we developed an artificial neural network (ANN). We examined 71 patients with a clinical diagnosis of AD and 66 controls. beta-Amyloid(1-42) was decreased (sensitivity 80% and specificity 78%); tau was elevated (sensitivity 76% and specificity 88%) in CSF of AD patients. The combined tau/beta-amyloid(1-42) quotient was able to distinguish healthy from diseased subjects with 99% sensitivity and 86% specificity. The ANN could separate FT-IR spectroscopy data with 88.5% sensitivity and 80% specificity. FT-IR spectroscopy proved to be cost-effective and simple to perform. Diagnostic sensitivity and specificity is in the range of CSF tau and beta-amyloid(1-42) protein analysis. Larger sample numbers for ANN training and validation could increase diagnostic accuracy and thus prove to be a useful screening tool. | ||
| 650 | 4 | |a Adolescent | |
| 650 | 4 | |a Adult | |
| 650 | 4 | |a Aged | |
| 650 | 4 | |a Aged, 80 and over | |
| 650 | 4 | |a Alzheimer Disease | |
| 650 | 4 | |a Amyloid beta-Peptides | |
| 650 | 4 | |a Analysis of Variance | |
| 650 | 4 | |a Biomarkers | |
| 650 | 4 | |a Female | |
| 650 | 4 | |a Humans | |
| 650 | 4 | |a Male | |
| 650 | 4 | |a Middle Aged | |
| 650 | 4 | |a Neural Networks, Computer | |
| 650 | 4 | |a Neuropsychological Tests | |
| 650 | 4 | |a Peptide Fragments | |
| 650 | 4 | |a Spectrophotometry, Infrared | |
| 650 | 4 | |a Spectroscopy, Fourier Transform Infrared | |
| 650 | 4 | |a tau Proteins | |
| 650 | 4 | |a Young Adult | |
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