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      Mutated Toll-like receptor 9 increases Alzheimer’s disease risk by compromising innate immunity protection

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          Abstract

          The development of Alzheimer’s disease (AD) involves central and peripheral immune deregulation. Gene identification and studies of AD genetic variants of peripheral immune components may aid understanding of peripheral-central immune crosstalk and facilitate new opportunities for therapeutic intervention. In this study, we have identified in a Flanders-Belgian family a novel variant p.E317D in the Toll-like receptor 9 gene ( TLR9), co-segregating with EOAD in an autosomal dominant manner. In human, TLR9 is an essential innate and adaptive immune component predominantly expressed in peripheral immune cells. The p.E317D variant caused 50% reduction in TLR9 activation in the NF-κB luciferase assay suggesting that p.E317D is a loss-of-function mutation. Cytokine profiling of human PBMCs upon TLR9 activation revealed a predominantly anti-inflammatory response in contrast to the inflammatory responses from TLR7/8 activation. The cytokines released upon TLR9 activation suppressed inflammation and promoted phagocytosis of Aβ 42 oligomers in human iPSC-derived microglia. Transcriptome analysis identified upregulation of AXL, RUBICON and associated signaling pathways, which may underline the effects of TLR9 signaling-induced cytokines in regulating the inflammatory status and phagocytic property of microglia. Our data suggest a protective role of TLR9 signaling in AD pathogenesis, and we propose that TLR9 loss-of-function may disrupt a peripheral-central immune crosstalk that promotes dampening of inflammation and clearance of toxic protein species, leading to the build-up of neuroinflammation and pathogenic protein aggregates in AD development.

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          Most cited references79

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          The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

          Next-generation DNA sequencing (NGS) projects, such as the 1000 Genomes Project, are already revolutionizing our understanding of genetic variation among individuals. However, the massive data sets generated by NGS--the 1000 Genome pilot alone includes nearly five terabases--make writing feature-rich, efficient, and robust analysis tools difficult for even computationally sophisticated individuals. Indeed, many professionals are limited in the scope and the ease with which they can answer scientific questions by the complexity of accessing and manipulating the data produced by these machines. Here, we discuss our Genome Analysis Toolkit (GATK), a structured programming framework designed to ease the development of efficient and robust analysis tools for next-generation DNA sequencers using the functional programming philosophy of MapReduce. The GATK provides a small but rich set of data access patterns that encompass the majority of analysis tool needs. Separating specific analysis calculations from common data management infrastructure enables us to optimize the GATK framework for correctness, stability, and CPU and memory efficiency and to enable distributed and shared memory parallelization. We highlight the capabilities of the GATK by describing the implementation and application of robust, scale-tolerant tools like coverage calculators and single nucleotide polymorphism (SNP) calling. We conclude that the GATK programming framework enables developers and analysts to quickly and easily write efficient and robust NGS tools, many of which have already been incorporated into large-scale sequencing projects like the 1000 Genomes Project and The Cancer Genome Atlas.
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            The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment.

            To develop a 10-minute cognitive screening tool (Montreal Cognitive Assessment, MoCA) to assist first-line physicians in detection of mild cognitive impairment (MCI), a clinical state that often progresses to dementia. Validation study. A community clinic and an academic center. Ninety-four patients meeting MCI clinical criteria supported by psychometric measures, 93 patients with mild Alzheimer's disease (AD) (Mini-Mental State Examination (MMSE) score > or =17), and 90 healthy elderly controls (NC). The MoCA and MMSE were administered to all participants, and sensitivity and specificity of both measures were assessed for detection of MCI and mild AD. Using a cutoff score 26, the MMSE had a sensitivity of 18% to detect MCI, whereas the MoCA detected 90% of MCI subjects. In the mild AD group, the MMSE had a sensitivity of 78%, whereas the MoCA detected 100%. Specificity was excellent for both MMSE and MoCA (100% and 87%, respectively). MCI as an entity is evolving and somewhat controversial. The MoCA is a brief cognitive screening tool with high sensitivity and specificity for detecting MCI as currently conceptualized in patients performing in the normal range on the MMSE.
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              "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

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                Author and article information

                Contributors
                christine.vanbroeckhoven@uantwerpen.vib.be
                Journal
                Mol Psychiatry
                Mol Psychiatry
                Molecular Psychiatry
                Nature Publishing Group UK (London )
                1359-4184
                1476-5578
                11 July 2023
                11 July 2023
                2023
                : 28
                : 12
                : 5380-5389
                Affiliations
                [1 ]Neurodegenerative Brain Diseases, VIB Center for Molecular Neurology, ( https://ror.org/008x57b05) VIB Antwerp, Belgium
                [2 ]Department of Biomedical Sciences, University of Antwerp, ( https://ror.org/008x57b05) Antwerp, Belgium
                [3 ]GRID grid.419619.2, ISNI 0000 0004 0623 0341, Department of Neuroscience, Janssen Research & Development, , a Division of Janssen Pharmaceutica NV, ; Beerse, Belgium
                [4 ]Department of Neurology, University Hospital Antwerp, ( https://ror.org/01hwamj44) Edegem, Belgium
                [5 ]Department of Pathology, University Hospital Antwerp, ( https://ror.org/01hwamj44) Edegem, Belgium
                [6 ]Institute Born-Bunge, ( https://ror.org/008x57b05) Antwerp, Belgium
                [7 ]Department of Neurology, University Hospitals Leuven, and Department of Neurosciences, ( https://ror.org/05f950310) KU Leuven Leuven, Belgium
                [8 ]Department of Neurology and Memory Clinic, Hospital Network Antwerp, ( https://ror.org/008x57b05) Antwerp, Belgium
                [9 ]GRID grid.419619.2, ISNI 0000 0004 0623 0341, Discovery Sciences, Janssen Research & Development, , a Division of Janssen Pharmaceutica NV, ; Beerse, Belgium
                [10 ]GRID grid.411326.3, ISNI 0000 0004 0626 3362, Department of Neurology, , Universitair Ziekenhuis Brussel, and Center for Neurosciences, Vrije Universiteit Brussel, ; Brussels, Belgium
                Author information
                http://orcid.org/0000-0002-0180-3687
                http://orcid.org/0000-0002-2228-2964
                http://orcid.org/0000-0003-0183-7665
                Article
                2166
                10.1038/s41380-023-02166-0
                11041692
                37433968
                97d984d3-8834-453f-8e48-a2a186050843
                © The Author(s) 2023

                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
                : 15 October 2021
                : 9 June 2023
                : 23 June 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000957, Alzheimer’s Association;
                Award ID: ADSF-21-831212-C
                Award Recipient :
                Funded by: Flanders Agency for Innovation and Entrepreneurship (VLAIO);Janssen Pharmaceutica NV;Flemish Government;Research Foundation Flanders (FWO)
                Funded by: FWO Research Research Foundation
                Funded by: University of Antwerp
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Molecular medicine
                neuroscience,diseases,molecular biology
                Molecular medicine
                neuroscience, diseases, molecular biology

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