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      Cerebrospinal Fluid Amyloid-β Oligomer Levels in Patients with Idiopathic Normal Pressure Hydrocephalus

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          Abstract

          Background:

          The amyloid-β oligomers, consisting of 10–20 monomers (AβO 10–20), have strong neurotoxicity and are associated with cognitive impairment in Alzheimer’s disease (AD). However, their role in patients with idiopathic normal pressure hydrocephalus (iNPH) is poorly understood.

          Objective:

          We hypothesized that cerebrospinal fluid (CSF) AβO 10–20 accumulates in patients with iNPH, and its clearance after CSF shunting contributes to neurological improvement. We measured CSF AβO 10–20 levels before and after CSF shunting in iNPH patients evaluating their diagnostic and prognostic role.

          Methods:

          We evaluated two iNPH cohorts: “evaluation” (cohort-1) with 32 patients and “validation” (cohort-2) with 13 patients. Comparison cohorts included: 27 neurologically healthy controls (HCs), and 16 AD, 15 Parkinson’s disease (PD), and 14 progressive supranuclear palsy (PSP) patients. We assessed for all cohorts CSF AβO 10–20 levels and their comprehensive clinical data. iNPH cohort-1 pre-shunting data were compared with those of comparison cohorts, using cohort-2 for validation. Next, we compared cohort-1’s clinical and CSF data: 1) before and after CSF shunting, and 2) increased versus decreased AβO 10–20 levels at baseline, 1 and 3 years after shunting.

          Results:

          Cohort-1 had higher CSF AβO 10–20 levels than the HCs, PD, and PSP cohorts. This result was validated with data from cohort-2. CSF AβO 10–20 levels differentiated cohort-1 from the PD and PSP groups, with an area under receiver operating characteristic curve of 0.94. AβO 10–20 levels in cohort-1 decreased after CSF shunting. Patients with AβO 10–20 decrease showed better cognitive outcome than those without.

          Conclusion:

          AβO 10–20 accumulates in patients with iNPH and is eliminated by CSF shunting. AβO 10–20 can be an applicable diagnostic and prognostic biomarker.

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          Most cited references38

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          Investigation of the freely available easy-to-use software ‘EZR' for medical statistics

          Y Kanda (2012)
          Although there are many commercially available statistical software packages, only a few implement a competing risk analysis or a proportional hazards regression model with time-dependent covariates, which are necessary in studies on hematopoietic SCT. In addition, most packages are not clinician friendly, as they require that commands be written based on statistical languages. This report describes the statistical software ‘EZR' (Easy R), which is based on R and R commander. EZR enables the application of statistical functions that are frequently used in clinical studies, such as survival analyses, including competing risk analyses and the use of time-dependent covariates, receiver operating characteristics analyses, meta-analyses, sample size calculation and so on, by point-and-click access. EZR is freely available on our website (http://www.jichi.ac.jp/saitama-sct/SaitamaHP.files/statmed.html) and runs on both Windows (Microsoft Corporation, USA) and Mac OS X (Apple, USA). This report provides instructions for the installation and operation of EZR.
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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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                Author and article information

                Journal
                J Alzheimers Dis
                J Alzheimers Dis
                JAD
                Journal of Alzheimer's Disease
                IOS Press (Nieuwe Hemweg 6B, 1013 BG Amsterdam, The Netherlands )
                1387-2877
                1875-8908
                15 July 2021
                31 August 2021
                2021
                : 83
                : 1
                : 179-190
                Affiliations
                [a ] Department of Neurosurgery, Juntendo University , Hongo Bunkyo-ku, Tokyo, Japan
                [b ]Department of Neurosurgery , Juntendo Tokyo Koto Geriatric Medical Centre, Shinsuna Koto-ku, Tokyo, Japan
                [c ]Department of Neurology , Mihara Memorial Hospital, Ota-cho, Isesaki-shi, Gunma, Japan
                [d ] Department of Neurology, Juntendo University , Hongo Bunkyo-ku, Tokyo, Japan
                [e ] Medical Technology Innovation Center, Juntendo University , Hongo Bunkyo-ku, Tokyo, Japan
                [f ]Department of Neurosurgery , Kugayama Hospital, Kita-Karasuyama, Setagaya-ku, Tokyo, Japan
                [g ] Department of Molecular Genetics, Brain Research Institute, Niigata University , Asahimachi, Niigata, Japan
                Author notes
                [* ]Correspondence to: Kaito Kawamura, MD, Department of Neurosurgery, Juntendo University, Hongo Bunkyo-ku, Tokyo, 113-8421, Japan. Tel.: +813 3810 3111; E-mail: k-kawamu@ 123456juntendo.ac.jp .
                Article
                JAD210226
                10.3233/JAD-210226
                8461658
                34275898
                65641741-41df-4092-a69e-512b97ea5341
                © 2021 – The authors. Published by IOS Press

                This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 8 June 2021
                Categories
                Research Article

                amyloid-β peptides,biomarkers,cerebrospinal fluid,neurodegenerative diseases,normal pressure hydrocephalus

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