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      CSF biomarkers of Alzheimer’s disease concord with amyloid-β PETand predict clinical progression: A study of fully automated immunoassays in BioFINDER and ADNI cohorts

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          Abstract

          Introduction

          We studied whether fully automated Elecsys cerebrospinal fluid (CSF) immunoassay results were concordant with positron emission tomography (PET) and predicted clinical progression, even with cutoffs established in an independent cohort.

          Methods

          Cutoffs for Elecsys amyloid-β 1–42 (Aβ), total tau/Aβ(1–42), and phosphorylated tau/Aβ(1–42) were defined against [ 18F]flutemetamol PET in Swedish BioFINDER (n = 277) and validated against [ 18F]florbetapir PET in Alzheimer’s Disease Neuroimaging Initiative (n = 646). Clinical progression in patients with mild cognitive impairment (n = 619) was studied.

          Results

          CSF total tau/Aβ(1–42) and phosphorylated tau/Aβ(1–42) ratios were highly concordant with PET classification in BioFINDER (overall percent agreement: 90%; area under the curve: 94%). The CSF biomarker statuses established by predefined cutoffs were highly concordant with PET classification in Alzheimer’s Disease Neuroimaging Initiative (overall percent agreement: 89%–90%; area under the curves: 96%) and predicted greater 2-year clinical decline in patients with mild cognitive impairment. Strikingly, tau/Aβ ratios were as accurate as semiquantitative PET image assessment in predicting visual read–based outcomes.

          Discussion

          Elecsys CSF biomarker assays may provide reliable alternatives to PET in Alzheimer’s disease diagnosis.

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          Most cited references7

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          The Alzheimer's Disease Neuroimaging Initiative 2 PET Core: 2015.

          This article reviews the work done in the Alzheimer's Disease Neuroimaging Initiative positron emission tomography (ADNI PET) core over the past 5 years, largely concerning techniques, methods, and results related to amyloid imaging in ADNI.
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            Nonlinear Association Between Cerebrospinal Fluid and Florbetapir F-18 β-Amyloid Measures Across the Spectrum of Alzheimer Disease.

            Cerebrospinal fluid (CSF) and positron emission tomographic (PET) amyloid biomarkers have been proposed for the detection of Alzheimer disease (AD) pathology in living patients and for the tracking of longitudinal changes, but the relation between biomarkers needs further study.
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              • Article: not found

              Validation of the Erlangen Score Algorithm for the Prediction of the Development of Dementia due to Alzheimer's Disease in Pre-Dementia Subjects.

              In previous studies, a dichotomous stratification of subjects into "cerebrospinal fluid (CSF) normal" and "CSF pathologic" was used to investigate the role of biomarkers in the prediction of progression to dementia in pre-dementia/mild cognitive impairment subjects. With the previously published Erlangen Score Algorithm, we suggested a division of CSF patterns into five groups, covering all possible CSF result combinations based on the presence of pathologic tau and/or amyloid-β CSF values.
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                Author and article information

                Journal
                101231978
                33173
                Alzheimers Dement
                Alzheimers Dement
                Alzheimer's & dementia : the journal of the Alzheimer's Association
                1552-5260
                1552-5279
                14 April 2018
                01 March 2018
                November 2018
                01 November 2019
                : 14
                : 11
                : 1470-1481
                Affiliations
                [a ]Clinical Memory Research Unit, Lund University, Malmö, Sweden
                [b ]Memory Clinic, Skåne University Hospital, Malmö, Sweden
                [c ]Institute for Neurodegenerative Disorders, New Haven, CT, USA
                [d ]Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
                [e ]Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
                [f ]Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
                [g ]UK Dementia Research Institute, London, UK
                [h ]Center for Neurodegenerative Disease Research, Institute on Aging and Department of Pathology and Laboratory Medicine, Philadelphia, PA, USA
                [i ]Former Employee of Roche Diagnostics GmbH, Penzberg, Germany
                [j ]Roche Diagnostics GmbH, Penzberg, Germany
                [k ]Roche Diagnostics International, Rotkreuz, Switzerland
                [l ]Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
                Author notes
                [* ]Corresponding author. Tel.: +46 40 335036; Fax: +46 40 335657
                [** ]Corresponding author. Tel.: +46 31 3431791; Fax: +46 31 41 92 89
                [*** ]Corresponding author. Tel.: +1 215 662 6575; Fax: +1 215 662 7529
                [1]

                Contributed equally to this study.

                [2]

                Current address: Genentech Inc., South San Francisco, CA, USA.

                [3]

                A complete list of the BioFINDER study group members can be found at www.biofinder.se.

                [4]

                Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.

                Article
                NIHMS959469
                10.1016/j.jalz.2018.01.010
                6119541
                29499171
                d0490e00-220a-48be-9d19-bc658d741ae7

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                Categories
                Article

                csf biomarkers,amyloid pet concordance,clinical progression,biomarker validation,amyloid-β (1–42),total tau (ttau),phosphorylated tau (ptau),cutoffs

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