Literature DB >> 23070466

Supporting evidence for using biomarkers in the diagnosis of MCI due to AD.

Samantha Galluzzi1, Cristina Geroldi, Giovanni Amicucci, Luisella Bocchio-Chiavetto, Matteo Bonetti, Cristian Bonvicini, Maria Cotelli, Roberta Ghidoni, Barbara Paghera, Orazio Zanetti, Giovanni B Frisoni.   

Abstract

The aim of this study is to support the use of biomarkers in the diagnosis of mild cognitive impairment (MCI) due to Alzheimer's disease (AD) according to the revised NIA-AA diagnostic criteria. We compared clinical features and conversion to AD and other dementias among groups of MCI patients with different abnormal biomarker profiles. In this study, we enrolled 58 patients with MCI, and for each of them AD biomarkers (CSF Abeta42 and tau, temporoparietal hypometabolism on 18F-FDG PET, and hippocampal volume) were collected. Patients were divided into three groups: (i) no abnormal biomarker, (ii) AD biomarker pattern (including three subgroups of early = only abnormal Abeta42, intermediate = abnormal Abeta42 and FDG PET or tau, and late = abnormal Abeta42, FDG PET or tau, and HV), and (iii) any other biomarker combination. MCI patients with AD biomarker pattern had lower behavioural disturbances than patients with any other biomarker combination (p < 0.0005). This group also showed lower performance on verbal and non-verbal memory than the other two groups (p = 0.07 and p = 0.004, respectively). Within the three subgroups with AD biomarker patterns we observed a significant trend toward a higher rate of conversion to dementia (p for trend = 0.006). With regard to dementia conversion, 100 % of patients with an AD biomarker pattern developed AD, but none of the patients with no abnormal biomarker and 27 % of patients with any other biomarker combination (p = 0.002) did so. We also described some clinical cases representative for each of these three groups. The results of this study provide evidence in favour of the use of biomarkers for the diagnosis of MCI due to AD, in line with recently published research criteria.

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Year:  2012        PMID: 23070466     DOI: 10.1007/s00415-012-6694-0

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  39 in total

1.  Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET.

Authors:  K Herholz; E Salmon; D Perani; J C Baron; V Holthoff; L Frölich; P Schönknecht; K Ito; R Mielke; E Kalbe; G Zündorf; X Delbeuck; O Pelati; D Anchisi; F Fazio; N Kerrouche; B Desgranges; F Eustache; B Beuthien-Baumann; C Menzel; J Schröder; T Kato; Y Arahata; M Henze; W D Heiss
Journal:  Neuroimage       Date:  2002-09       Impact factor: 6.556

2.  Summary metrics to assess Alzheimer disease-related hypometabolic pattern with 18F-FDG PET: head-to-head comparison.

Authors:  Anna Caroli; Annapaola Prestia; Kewei Chen; Napatkamon Ayutyanont; Susan M Landau; Cindee M Madison; Cathleen Haense; Karl Herholz; Flavio Nobili; Eric M Reiman; William J Jagust; Giovanni B Frisoni
Journal:  J Nucl Med       Date:  2012-02-17       Impact factor: 10.057

3.  Italian community norms for the Brief Symptom Inventory in the elderly.

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Journal:  Br J Clin Psychol       Date:  1993-05

4.  Cerebrospinal fluid tau, p-tau 181 and amyloid-β38/40/42 in frontotemporal dementias and primary progressive aphasias.

Authors:  Mirko Bibl; Brit Mollenhauer; Piotr Lewczuk; Hermann Esselmann; Stefanie Wolf; Markus Otto; Johannes Kornhuber; Eckart Rüther; Jens Wiltfang
Journal:  Dement Geriatr Cogn Disord       Date:  2010-12-07       Impact factor: 2.959

5.  FDG PET imaging in patients with pathologically verified dementia.

Authors:  J M Hoffman; K A Welsh-Bohmer; M Hanson; B Crain; C Hulette; N Earl; R E Coleman
Journal:  J Nucl Med       Date:  2000-11       Impact factor: 10.057

6.  The topography of grey matter involvement in early and late onset Alzheimer's disease.

Authors:  Giovanni B Frisoni; Michela Pievani; Cristina Testa; Francesca Sabattoli; Lorena Bresciani; Matteo Bonetti; Alberto Beltramello; Kiralee M Hayashi; Arthur W Toga; Paul M Thompson
Journal:  Brain       Date:  2007-02-09       Impact factor: 13.501

7.  Cerebrospinal fluid biomarkers in the differential diagnosis of Alzheimer's disease from other cortical dementias.

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Journal:  J Neurol Neurosurg Psychiatry       Date:  2010-08-27       Impact factor: 10.154

8.  CSF biomarkers in frontotemporal lobar degeneration with known pathology.

Authors:  H Bian; J C Van Swieten; S Leight; L Massimo; E Wood; M Forman; P Moore; I de Koning; C M Clark; S Rosso; J Trojanowski; V M-Y Lee; M Grossman
Journal:  Neurology       Date:  2008-05-06       Impact factor: 9.910

9.  The Neuropsychiatric Inventory: comprehensive assessment of psychopathology in dementia.

Authors:  J L Cummings; M Mega; K Gray; S Rosenberg-Thompson; D A Carusi; J Gornbein
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Review 10.  Core candidate neurochemical and imaging biomarkers of Alzheimer's disease.

Authors:  Harald Hampel; Katharina Bürger; Stefan J Teipel; Arun L W Bokde; Henrik Zetterberg; Kaj Blennow
Journal:  Alzheimers Dement       Date:  2007-12-21       Impact factor: 21.566

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  24 in total

1.  Feasibility and acceptance of simultaneous amyloid PET/MRI.

Authors:  Lisa Schütz; Donald Lobsien; Dominik Fritzsch; Solveig Tiepolt; Peter Werner; Matthias L Schroeter; Jörg Berrouschot; Dorothee Saur; Swen Hesse; Thies Jochimsen; Michael Rullmann; Bernhard Sattler; Marianne Patt; Hermann-Josef Gertz; Arno Villringer; Joseph Claßen; Karl-Titus Hoffmann; Osama Sabri; Henryk Barthel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-07-19       Impact factor: 9.236

Review 2.  A Cochrane review on brain [¹⁸F]FDG PET in dementia: limitations and future perspectives.

Authors:  Silvia Morbelli; Valentina Garibotto; Elsmarieke Van De Giessen; Javier Arbizu; Gaël Chételat; Alexander Drezgza; Swen Hesse; Adriaan A Lammertsma; Ian Law; Sabina Pappata'; Pierre Payoux; Marco Pagani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-09       Impact factor: 9.236

Review 3.  Neurological update: dementia.

Authors:  A J Larner
Journal:  J Neurol       Date:  2014-02-06       Impact factor: 4.849

4.  N-Glycan Profile of Cerebrospinal Fluids from Alzheimer's Disease Patients Using Liquid Chromatography with Mass Spectrometry.

Authors:  Byeong Gwan Cho; Lucas Veillon; Yehia Mechref
Journal:  J Proteome Res       Date:  2019-09-16       Impact factor: 4.466

5.  Atrophy and lower regional perfusion of temporo-parietal brain areas are correlated with impairment in memory performances and increase of EEG upper alpha power in prodromal Alzheimer's disease.

Authors:  Vito Davide Moretti
Journal:  Am J Neurodegener Dis       Date:  2015-09-10

6.  A lipoprotein receptor cluster IV mutant preferentially binds amyloid-β and regulates its clearance from the mouse brain.

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Journal:  J Biol Chem       Date:  2013-04-11       Impact factor: 5.157

7.  Brain metabolic maps in Mild Cognitive Impairment predict heterogeneity of progression to dementia.

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Journal:  Neuroimage Clin       Date:  2014-12-05       Impact factor: 4.881

8.  The many questions on the use of biomarkers for neurodegenerative diseases in clinical practice.

Authors:  Manuel Menéndez-González
Journal:  Front Aging Neurosci       Date:  2014-03-18       Impact factor: 5.750

Review 9.  Mild Cognitive Impairment: Structural, Metabolical, and Neurophysiological Evidence of a Novel EEG Biomarker.

Authors:  Davide Vito Moretti
Journal:  Front Neurol       Date:  2015-07-06       Impact factor: 4.003

10.  EEG upper/low alpha frequency power ratio relates to temporo-parietal brain atrophy and memory performances in mild cognitive impairment.

Authors:  Davide V Moretti; Donata Paternicò; Giuliano Binetti; Orazio Zanetti; Giovanni B Frisoni
Journal:  Front Aging Neurosci       Date:  2013-10-25       Impact factor: 5.750

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