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: Griebe, Martin (VerfasserIn) , Daffertshofer, Michael (VerfasserIn) , Stroick, Mark Gregor (VerfasserIn) , Syren, Magdalena (VerfasserIn) , Ahmad-Nejad, Parviz (VerfasserIn) , Neumaier, Michael (VerfasserIn) , Backhaus, Jürgen (VerfasserIn) , Hennerici, Michael G. (VerfasserIn) , Fatar, Marc (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 4 May 2007
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
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Verfasserangaben:Martin Griebe, Michael Daffertshofer, Mark Stroick, Magdalena Syren, Parviz Ahmad-Nejad, Michael Neumaier, Juergen Backhaus, Michael G. Hennerici, Marc Fatar
Beschreibung
Zusammenfassung: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.
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ISSN:1872-7972
DOI:10.1016/j.neulet.2007.03.075