Details der Publikation - Infrared spectroscopy

Infrared spectroscopy : a new diagnostic tool in Alzheimer disease / Martin Griebe, Michael Daffertshofer, Mark Stroick, Magdalena Syren, Parviz Ahmad-Nejad, Michael Neumaier, Juergen Backhaus, Michael G. Hennerici, Marc Fatar

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..

Medienart:	E-Artikel

Erscheinungsjahr:	4 May 2007 2007
Erschienen:	4 May 2007

Enthalten in:	Zur Gesamtaufnahme - volume:420
Enthalten in:	Neuroscience letters - 420(2007), 1, Seite 29-33

Sprache:	Englisch

Beteiligte Personen:	Griebe, Martin, 1975- [VerfasserIn] Daffertshofer, Michael [VerfasserIn] Stroick, Mark Gregor, 1974- [VerfasserIn] Syren, Magdalena [VerfasserIn] Ahmad-Nejad, Parviz [VerfasserIn] Neumaier, Michael [VerfasserIn] Backhaus, Jürgen [VerfasserIn] Hennerici, Michael G., 1948- [VerfasserIn] Fatar, Marc, 1972- [VerfasserIn]

Links:	Volltext [lizenzpflichtig]

Themen:	Adolescent Adult Aged Aged, 80 and over Alzheimer Disease Amyloid beta-Peptides Analysis of Variance Biomarkers Female Humans Male Middle Aged Neural Networks, Computer Neuropsychological Tests Peptide Fragments Spectrophotometry, Infrared Spectroscopy, Fourier Transform Infrared Tau Proteins Young Adult

Anmerkungen:	Gesehen am 02.05.2022

Umfang:	5

doi:	10.1016/j.neulet.2007.03.075

funding:
Förderinstitution / Projekttitel:

PPN (Katalog-ID):	1800631081

Internformat


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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.
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Infrared spectroscopy : a new diagnostic tool in Alzheimer disease / Martin Griebe, Michael Daffertshofer, Mark Stroick, Magdalena Syren, Parviz Ahmad-Nejad, Michael Neumaier, Juergen Backhaus, Michael G. Hennerici, Marc Fatar

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