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      Contribution of clinical information to the predictive performance of plasma β-amyloid levels for amyloid positron emission tomography positivity

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          Abstract

          Background

          Early detection of β-amyloid (Aβ) accumulation, a major biomarker for Alzheimer’s disease (AD), has become important. As fluid biomarkers, the accuracy of cerebrospinal fluid (CSF) Aβ for predicting Aβ deposition on positron emission tomography (PET) has been extensively studied, and the development of plasma Aβ is beginning to receive increased attention recently. In the present study, we aimed to determine whether APOE genotypes, age, and cognitive status increase the predictive performance of plasma Aβ and CSF Aβ levels for Aβ PET positivity.

          Methods

          We recruited 488 participants who underwent both plasma Aβ and Aβ PET studies (Cohort 1) and 217 participants who underwent both cerebrospinal fluid (CSF) Aβ and Aβ PET studies (Cohort 2). Plasma and CSF samples were analyzed using ABtest-MS, an antibody-free liquid chromatography-differential mobility spectrometry-triple quadrupole mass spectrometry method and INNOTEST enzyme-linked immunosorbent assay kits, respectively. To evaluate the predictive performance of plasma Aβ and CSF Aβ, respectively, logistic regression and receiver operating characteristic analyses were performed.

          Results

          When predicting Aβ PET status, both plasma Aβ42/40 ratio and CSF Aβ42 showed high accuracy (plasma Aβ area under the curve (AUC) 0.814; CSF Aβ AUC 0.848). In the plasma Aβ models, the AUC values were higher than plasma Aβ alone model, when the models were combined with either cognitive stage ( p < 0.001) or APOE genotype ( p = 0.011). On the other hand, there was no difference between the CSF Aβ models, when these variables were added.

          Conclusion

          Plasma Aβ might be a useful predictor of Aβ deposition on PET status as much as CSF Aβ, particularly when considered with clinical information such as APOE genotype and cognitive stag e.

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          Most cited references57

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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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            NIA-AA Research Framework: Toward a biological definition of Alzheimer’s disease

            In 2011, the National Institute on Aging and Alzheimer’s Association created separate diagnostic recommendations for the preclinical, mild cognitive impairment, and dementia stages of Alzheimer’s disease. Scientific progress in the interim led to an initiative by the National Institute on Aging and Alzheimer’s Association to update and unify the 2011 guidelines. This unifying update is labeled a “research framework” because its intended use is for observational and interventional research, not routine clinical care. In the National Institute on Aging and Alzheimer’s Association Research Framework, Alzheimer’s disease (AD) is defined by its underlying pathologic processes that can be documented by postmortem examination or in vivo by biomarkers. The diagnosis is not based on the clinical consequences of the disease (i.e., symptoms/signs) in this research framework, which shifts the definition of AD in living people from a syndromal to a biological construct. The research framework focuses on the diagnosis of AD with biomarkers in living persons. Biomarkers are grouped into those of β amyloid deposition, pathologic tau, and neurodegeneration [AT(N)]. This ATN classification system groups different biomarkers (imaging and biofluids) by the pathologic process each measures. The AT(N) system is flexible in that new biomarkers can be added to the three existing AT(N) groups, and new biomarker groups beyond AT(N) can be added when they become available. We focus on AD as a continuum, and cognitive staging may be accomplished using continuous measures. However, we also outline two different categorical cognitive schemes for staging the severity of cognitive impairment: a scheme using three traditional syndromal categories and a six-stage numeric scheme. It is important to stress that this framework seeks to create a common language with which investigators can generate and test hypotheses about the interactions among different pathologic processes (denoted by biomarkers) and cognitive symptoms. We appreciate the concern that this biomarker-based research framework has the potential to be misused. Therefore, we emphasize, first, it is premature and inappropriate to use this research framework in general medical practice. Second, this research framework should not be used to restrict alternative approaches to hypothesis testing that do not use biomarkers. There will be situations where biomarkers are not available or requiring them would be counterproductive to the specific research goals (discussed in more detail later in the document). Thus, biomarker-based research should not be considered a template for all research into age-related cognitive impairment and dementia; rather, it should be applied when it is fit for the purpose of the specific research goals of a study. Importantly, this framework should be examined in diverse populations. Although it is possible that β-amyloid plaques and neurofibrillary tau deposits are not causal in AD pathogenesis, it is these abnormal protein deposits that define AD as a unique neurodegenerative disease among different disorders that can lead to dementia. We envision that defining AD as a biological construct will enable a more accurate characterization and understanding of the sequence of events that lead to cognitive impairment that is associated with AD, as well as the multifactorial etiology of dementia. This approach also will enable a more precise approach to interventional trials where specific pathways can be targeted in the disease process and in the appropriate people.
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              The diagnosis of mild cognitive impairment 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 developing criteria for the symptomatic predementia phase of Alzheimer's disease (AD), referred to in this article as mild cognitive impairment due to AD. The workgroup developed the following two sets of criteria: (1) core clinical criteria that could be used by healthcare providers without access to advanced imaging techniques or cerebrospinal fluid analysis, and (2) research criteria that could be used in clinical research settings, including clinical trials. The second set of criteria incorporate the use of biomarkers based on imaging and cerebrospinal fluid measures. The final set of criteria for mild cognitive impairment due to AD has four levels of certainty, depending on the presence and nature of the biomarker findings. Considerable work is needed to validate the criteria that use biomarkers and to standardize biomarker analysis for use in community settings. Copyright © 2011 The Alzheimer's Association. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Front Aging Neurosci
                Front Aging Neurosci
                Front. Aging Neurosci.
                Frontiers in Aging Neuroscience
                Frontiers Media S.A.
                1663-4365
                14 March 2023
                2023
                : 15
                : 1126799
                Affiliations
                [1] 1Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine , Seoul, Republic of Korea
                [2] 2Department of Neurology, Yonsei University College of Medicine , Seoul, Republic of Korea
                [3] 3Department of Neurology, Yongin Severance Hospital, Yonsei University Health System , Yongin, Republic of Korea
                [4] 4Neuroscience Center, Samsung Medical Center , Seoul, Republic of Korea
                [5] 5Alzheimer's Disease Convergence Research Center, Samsung Medical Center , Seoul, Republic of Korea
                [6] 6Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University , Seoul, Republic of Korea
                [7] 7Department of Digital Health, SAIHST, Sungkyunkwan University , Seoul, Republic of Korea
                [8] 8Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine , Indianapolis, IN, United States
                [9] 9Department of Psychiatry, Warneford Hospital, University of Oxford , Oxford, United Kingdom
                [10] 10Araclon Biotech-Grifols , Zaragoza, Spain
                [11] 11Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University , Seoul, Republic of Korea
                Author notes

                Edited by: Javier Frontiñan-Rubio, University of Castilla-La Mancha, Spain

                Reviewed by: Mahsa Pourhamzeh, University of California, San Diego, United States; Consuelo Chafer-Pericas, University of Valencia, Spain

                *Correspondence: Hyemin Jang, hmjang57@ 123456gmail.com ; Sang Won Seo, sangwonseo@ 123456empas.com

                These authors have contributed equally to this work as co-corresponding authors

                ‡ORCID: Min Young Chun, https://orcid.org/0000-0003-3731-6132

                This article was submitted to Alzheimer’s Disease and Related Dementias, a section of the journal Frontiers in Aging Neuroscience

                Article
                10.3389/fnagi.2023.1126799
                10044013
                36998318
                d66f3202-4a58-4264-8d92-47adb41a1b49
                Copyright © 2023 Chun, Jang, Kim, Kim, Gallacher, Allué, Sarasa, Castillo, Pascual-Lucas, Na, Seo and on behalf of DPUK.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 18 December 2022
                : 24 February 2023
                Page count
                Figures: 2, Tables: 2, Equations: 0, References: 57, Pages: 9, Words: 7755
                Funding
                Funded by: Korea Health Technology R&D Project
                Award ID: HU20C0111
                Award ID: HU22C0170
                Funded by: Korean Health Technology R&D Project, Ministry of Health and Welfare, Republic of Korea
                Award ID: HI19C1132
                Funded by: National Research Foundation of Korea (NRF), doi 10.13039/501100003725;
                Award ID: NRF-2019R1A5A2027340
                Award ID: NRF-2020R1A2C1009778
                Funded by: Future Medicine 20*30 Project of the Samsung Medical Center
                Award ID: #SMX1220021
                Funded by: "National Institute of Health" research project
                Award ID: 2021-ER1006-01
                Funded by: Ministry of Health and Welfare and Ministry of Science and ICT
                Award ID: HU20C0414
                Funded by: Korea Health Industry Development Institute, doi 10.13039/501100003710;
                Award ID: HU22C0052
                Funded by: DPUK through the Medical Research Council
                Award ID: MR/L023784/2
                Funded by: Institute of Information and communications Technology Planning and Evaluation (IITP)
                Award ID: 2021-0-02068
                Categories
                Aging Neuroscience
                Original Research

                Neurosciences
                alzheimer’s disease,β-amyloid,positron emission tomography,cerebrospinal fluid,plasma,apolipoprotein e

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