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      Plasma glial fibrillary acidic protein is elevated in cognitively normal older adults at risk of Alzheimer’s disease

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          Abstract

          Glial fibrillary acidic protein (GFAP), an astrocytic cytoskeletal protein, can be measured in blood samples, and has been associated with Alzheimer’s disease (AD). However, plasma GFAP has not been investigated in cognitively normal older adults at risk of AD, based on brain amyloid-β (Aβ) load. Cross-sectional analyses were carried out for plasma GFAP and plasma Aβ1–42/Aβ1–40 ratio, a blood-based marker associated with brain Aβ load, in participants (65–90 years) categorised into low (Aβ−, n = 63) and high (Aβ+, n = 33) brain Aβ load groups via Aβ positron emission tomography. Plasma GFAP, Aβ1–42, and Aβ1–40 were measured using the Single molecule array (Simoa) platform. Plasma GFAP levels were significantly higher ( p < 0.00001), and plasma Aβ1–42/Aβ1–40 ratios were significantly lower ( p < 0.005), in Aβ+ participants compared to Aβ− participants, adjusted for covariates age, sex, and apolipoprotein E-ε4 carriage. A receiver operating characteristic curve based on a logistic regression of the same covariates, the base model, distinguished Aβ+ from Aβ− (area under the curve, AUC = 0.78), but was outperformed when plasma GFAP was added to the base model (AUC = 0.91) and further improved with plasma Aβ1–42/Aβ1–40 ratio (AUC = 0.92). The current findings demonstrate that plasma GFAP levels are elevated in cognitively normal older adults at risk of AD. These observations suggest that astrocytic damage or activation begins from the pre-symptomatic stage of AD and is associated with brain Aβ load. Observations from the present study highlight the potential of plasma GFAP to contribute to a diagnostic blood biomarker panel (along with plasma Aβ1–42/Aβ1–40 ratios) for cognitively normal older adults at risk of AD.

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          "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

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            The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

            The National Institute on Aging and the Alzheimer's Association charged a workgroup with the task of revising the 1984 criteria for Alzheimer's disease (AD) dementia. The workgroup sought to ensure that the revised criteria would be flexible enough to be used by both general healthcare providers without access to neuropsychological testing, advanced imaging, and cerebrospinal fluid measures, and specialized investigators involved in research or in clinical trial studies who would have these tools available. We present criteria for all-cause dementia and for AD dementia. We retained the general framework of probable AD dementia from the 1984 criteria. On the basis of the past 27 years of experience, we made several changes in the clinical criteria for the diagnosis. We also retained the term possible AD dementia, but redefined it in a manner more focused than before. Biomarker evidence was also integrated into the diagnostic formulations for probable and possible AD dementia for use in research settings. The core clinical criteria for AD dementia will continue to be the cornerstone of the diagnosis in clinical practice, but biomarker evidence is expected to enhance the pathophysiological specificity of the diagnosis of AD dementia. Much work lies ahead for validating the biomarker diagnosis of AD dementia. Copyright © 2011. Published by Elsevier Inc.
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              Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria.

              In the past 8 years, both the International Working Group (IWG) and the US National Institute on Aging-Alzheimer's Association have contributed criteria for the diagnosis of Alzheimer's disease (AD) that better define clinical phenotypes and integrate biomarkers into the diagnostic process, covering the full staging of the disease. This Position Paper considers the strengths and limitations of the IWG research diagnostic criteria and proposes advances to improve the diagnostic framework. On the basis of these refinements, the diagnosis of AD can be simplified, requiring the presence of an appropriate clinical AD phenotype (typical or atypical) and a pathophysiological biomarker consistent with the presence of Alzheimer's pathology. We propose that downstream topographical biomarkers of the disease, such as volumetric MRI and fluorodeoxyglucose PET, might better serve in the measurement and monitoring of the course of disease. This paper also elaborates on the specific diagnostic criteria for atypical forms of AD, for mixed AD, and for the preclinical states of AD. Copyright © 2014 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                r.martins@ecu.edu.au
                Journal
                Transl Psychiatry
                Transl Psychiatry
                Translational Psychiatry
                Nature Publishing Group UK (London )
                2158-3188
                11 January 2021
                11 January 2021
                2021
                : 11
                : 27
                Affiliations
                [1 ]GRID grid.1004.5, ISNI 0000 0001 2158 5405, Department of Biomedical Sciences, , Macquarie University, ; North Ryde, NSW Australia
                [2 ]GRID grid.1038.a, ISNI 0000 0004 0389 4302, School of Medical and Health Sciences, , Edith Cowan University, ; Joondalup, WA Australia
                [3 ]ADx NeuroSciences, Gent, Belgium
                [4 ]GRID grid.489025.2, KaRa Institute of Neurological Diseases, ; Macquarie Park, NSW Australia
                [5 ]Anglicare, Castle Hill Sydney, NSW Australia
                [6 ]GRID grid.1012.2, ISNI 0000 0004 1936 7910, School of Psychiatry and Clinical Neurosciences, , University of Western Australia, ; Crawley, WA Australia
                [7 ]The Cooperative Research Centre for Mental Health, Carlton South, Australia
                [8 ]GRID grid.410678.c, Department of Molecular Imaging & Therapy, , Austin Health, ; Melbourne, VIC Australia
                [9 ]GRID grid.484519.5, Neurochemistry Laboratory, Department of Clinical Chemistry, , Amsterdam Neuroscience, Amsterdam University Medical Centers, ; Amsterdam, Netherlands
                [10 ]GRID grid.429545.b, ISNI 0000 0004 5905 2729, Australian Alzheimer’s Research Foundation, ; Nedlands, WA Australia
                [11 ]GRID grid.1025.6, ISNI 0000 0004 0436 6763, Centre for Healthy Ageing, , School of Psychology and Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, ; Murdoch, WA Australia
                [12 ]GRID grid.8761.8, ISNI 0000 0000 9919 9582, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, , University of Gothenburg, ; Mölndal, Sweden
                [13 ]GRID grid.1649.a, ISNI 000000009445082X, Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, ; Mölndal, Sweden
                [14 ]GRID grid.83440.3b, ISNI 0000000121901201, Department of Neurodegenerative Disease, , UCL Institute of Neurology, Queen Square, ; London, United Kingdom
                [15 ]UK Dementia Research Institute at UCL, London, UK
                [16 ]Biomarkable, Gent, Belgium
                Author information
                http://orcid.org/0000-0003-4877-1958
                http://orcid.org/0000-0002-3573-1554
                http://orcid.org/0000-0003-0341-7445
                http://orcid.org/0000-0003-3930-4354
                http://orcid.org/0000-0002-1890-4193
                http://orcid.org/0000-0002-4828-9363
                Article
                1137
                10.1038/s41398-020-01137-1
                7801513
                33431793
                1b2524f2-c189-4a88-b267-65509cfd4d4e
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 2 July 2020
                : 26 September 2020
                : 7 October 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001862, Svenska Forskningsrådet Formas (Swedish Research Council Formas);
                Award ID: 2018-02532
                Award ID: 2017-00915
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100002565, Alzheimer’s Drug Discovery Foundation (ADDF);
                Award ID: RDAPB-201809-2016615
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Clinical Psychology & Psychiatry
                molecular neuroscience,diagnostic markers
                Clinical Psychology & Psychiatry
                molecular neuroscience, diagnostic markers

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