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Magnetic resonance imaging improves cerebrospinal fluid biomarkers in the early detection of Alzheimer's disease.

Artikel i vetenskaplig tidskrift
Författare Miroslaw Brys
Lidia Glodzik
Lisa Mosconi
Remigiusz Switalski
Susan De Santi
Elizabeth Pirraglia
Kenneth Rich
Byeong C Kim
Pankaj Mehta
Ray Zinkowski
Domenico Pratico
Anders Wallin
Henrik Zetterberg
Wai H Tsui
Henry Rusinek
Kaj Blennow
Mony J de Leon
Publicerad i Journal of Alzheimer's disease : JAD
Volym 16
Nummer/häfte 2
Sidor 351-62
ISSN 1387-2877
Publiceringsår 2009
Publicerad vid Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi
Sidor 351-62
Språk en
Länkar dx.doi.org/10.3233/JAD-2009-0968
Ämnesord Aged, Alzheimer Disease, cerebrospinal fluid, complications, genetics, pathology, Amyloid beta-Protein, cerebrospinal fluid, Apolipoprotein E4, genetics, Area Under Curve, Cognition Disorders, cerebrospinal fluid, complications, diagnosis, genetics, Female, Functional Laterality, Gas Chromatography-Mass Spectrometry, Humans, Image Processing, Computer-Assisted, Isoprostanes, cerebrospinal fluid, Longitudinal Studies, Magnetic Resonance Imaging, methods, Male, Middle Aged, Peptide Fragments, cerebrospinal fluid, Sensitivity and Specificity, tau Proteins, cerebrospinal fluid
Ämneskategorier Psykiatri

Sammanfattning

Little is known of combined utility of magnetic resonance imaging (MRI) and cerebrospinal fluid (CSF) biomarkers for prediction of Alzheimer's disease (AD) and longitudinal data is scarce. We examined these biomarkers at baseline and longitudinally in incipient AD. Forty-five subjects [21 controls (NL-NL), 16 stable MCI (MCI-MCI), 8 MCI who declined to AD (MCI-AD)] received MRI and lumbar puncture at baseline and after 2 years. CSF measures included total and phosphorylated tau (T-tau, P-tau(231)), amyloid-beta (Abeta(42)/Abeta(40)) and isoprostane. Voxel-based morphometry identified gray matter concentration (GMC) differences best distinguishing study groups and individual GMC values were calculated. Rate of medial temporal lobe (MTL) atrophy was examined using regional boundary shift (rBS) method. At baseline, for MRI, MCI-AD showed reduced GMC-MTL, and for CSF higher CSF T-tau, P-tau(231), IP and lower Abeta(42)/Abeta(40) as compared with MCI-MCI or NL-NL. Longitudinally, rBS-MTL atrophy was higher in MCI-AD than in either MCI-MCI or NL-NL, particularly in the left hemisphere. CSF data showed longitudinally greater increases of isoprostane in MCI-AD as compared with NL-NL. Combining baseline CSF-P-tau(231) and GMC-MTL significantly increased overall prediction of AD from 74% to 84% (p(step)<0.05). These results provide support for including multiple modalities of biomarkers in the identification of memory clinic patients at increased risk for dementia.

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