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      Lipocalin-type prostaglandin D synthase: a glymphopathy marker in idiopathic hydrocephalus

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          Abstract

          Idiopathic normal pressure hydrocephalus in elderly people is considered a form of glymphopathy caused by malfunction of the waste clearance pathway, called the glymphatic system. Tau is a representative waste material similar to amyloid-β. During neurodegeneration, lipocalin-type prostaglandin D synthase (L-PGDS), a major cerebrospinal fluid (CSF) protein, is reported to act as a chaperone that prevents the neurotoxic aggregation of amyloid-β. L-PGDS is also a CSF biomarker in idiopathic normal pressure hydrocephalus and significantly correlates with tau concentration, age, and age-related brain white matter changes detected by magnetic resonance imaging. To investigate this glymphopathy, we aimed to analyze white matter changes and contributing factors in vivo and their interactions ex vivo. Cerebrospinal tap tests were performed in 60 patients referred for symptomatic ventriculomegaly. Patients were evaluated using an idiopathic normal pressure hydrocephalus grading scale, mini-mental state examination, frontal assessment battery, and timed up-and-go test. The typical morphological features of high convexity tightness and ventriculomegaly were measured using the callosal angle and Evans index, and parenchymal white matter properties were evaluated with diffusion tensor imaging followed by tract-based spatial statistics. Levels of CSF biomarkers, including tau, amyloid-β, and L-PGDS, were determined by ELISA, and their interaction, and localization were determined using immunoprecipitation and immunohistochemical analyses. Tract-based spatial statistics for fractional anisotropy revealed clusters that positively correlated with mini-mental state examination, frontal assessment battery, and callosal angle, and clusters that negatively correlated with age, disease duration, idiopathic normal pressure hydrocephalus grading scale, Evans index, and L-PGDS. Other parameters also indicated clusters that correlated with symptoms, microstructural white matter changes, and L-PGDS. Tau co-precipitated with L-PGDS, and colocalization was confirmed in postmortem specimens of neurodegenerative disease obtained from the human Brain Bank. Our study supports the diagnostic value of L-PGDS as a surrogate marker for white matter integrity in idiopathic normal pressure hydrocephalus. These results increase our understanding of the molecular players in the glymphatic system. Moreover, this study indicates the potential utility of enhancing endogenous protective factors to maintain brain homeostasis.

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

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            Advances in functional and structural MR image analysis and implementation as FSL.

            The techniques available for the interrogation and analysis of neuroimaging data have a large influence in determining the flexibility, sensitivity, and scope of neuroimaging experiments. The development of such methodologies has allowed investigators to address scientific questions that could not previously be answered and, as such, has become an important research area in its own right. In this paper, we present a review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB). This research has focussed on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data. The majority of the research laid out in this paper has been implemented as freely available software tools within FMRIB's Software Library (FSL).
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              Fast robust automated brain extraction.

              An automated method for segmenting magnetic resonance head images into brain and non-brain has been developed. It is very robust and accurate and has been tested on thousands of data sets from a wide variety of scanners and taken with a wide variety of MR sequences. The method, Brain Extraction Tool (BET), uses a deformable model that evolves to fit the brain's surface by the application of a set of locally adaptive model forces. The method is very fast and requires no preregistration or other pre-processing before being applied. We describe the new method and give examples of results and the results of extensive quantitative testing against "gold-standard" hand segmentations, and two other popular automated methods. Copyright 2002 Wiley-Liss, Inc.
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                Author and article information

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                Journal
                Front Aging Neurosci
                Front Aging Neurosci
                Front. Aging Neurosci.
                Frontiers in Aging Neuroscience
                Frontiers Media S.A.
                1663-4365
                04 April 2024
                2024
                : 16
                : 1364325
                Affiliations
                [1] 1Department of Neurosurgery, Medical Research Institute Kitano Hospital, PIIF Tazuke-Kofukai , Osaka, Japan
                [2] 2Department of Animal Radiology, Graduate School of Agricultural and Life Sciences, The University of Tokyo , Tokyo, Japan
                [3] 3Department of Radiology, School of Medicine, Juntendo University , Tokyo, Japan
                [4] 4Department of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University , Kyoto, Japan
                [5] 5Department of Neurology, Graduate School of Medicine, Kyoto University , Kyoto, Japan
                [6] 6Department of Neurology, Osaka Red Cross Hospital , Osaka, Japan
                [7] 7Department of Neurodegenerative Disorders, Kansai Medical University , Osaka, Japan
                [8] 8Hirono Satellite, Isotope Science Center, The University of Tokyo , Fukushima, Japan
                [9] 9Department of Neurology, Medical Research Institute Kitano Hospital, PIIF Tazuke-Kofukai , Osaka, Japan
                [10] 10Department of Diagnostic Radiology, Medical Research Institute Kitano Hospital, PIIF Tazuke-Kofukai , Osaka, Japan
                Author notes

                Edited by: Xingfeng Shao, University of Southern California, United States

                Reviewed by: Christopher E. Bauer, University of Kentucky, United States

                Zixuan Liu, University of Southern California, United States

                *Correspondence: Namiko Nishida, n-nishida@ 123456kitano-hp.or.jp

                These authors have contributed equally to this work

                Article
                10.3389/fnagi.2024.1364325
                11024442
                38638193
                c1258039-daac-4abb-a54c-44aaa18b5a10
                Copyright © 2024 Nishida, Nagata, Shimoji, Jingami, Uemura, Ozaki, Takahashi, Urade, Matsumoto, Iwasaki, Okumura, Ishikawa and Toda.

                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
                : 02 January 2024
                : 25 March 2024
                Page count
                Figures: 4, Tables: 2, Equations: 0, References: 56, Pages: 11, Words: 7732
                Funding
                The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The authors (NNi and NNa) are supported by JSPS KAKENHI Grant Number JP15K10378. This work was supported by JP16H06280 (ABiS; Advanced Bioimaging Support) and JP16H06277 (CoBiA; Platform of Supporting Cohort Study and Biospecimen Analysis).
                Categories
                Aging Neuroscience
                Original Research
                Custom metadata
                Cellular and Molecular Mechanisms of Brain-aging

                Neurosciences
                diffusion tensor imaging,surface plasmon resonance,immunoprecipitation,western blotting,glymphopathy,tau,lipocalin-type prostaglandin d synthase,idiopathic normal pressure hydrocephalus

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