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      A multifactorial model of pathology for age of onset heterogeneity in familial Alzheimer’s disease

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          Abstract

          Presenilin-1 (PSEN1) mutations cause familial Alzheimer’s disease (FAD) characterized by early age of onset (AoO). Examination of a large kindred harboring the PSEN1-E280A mutation reveals a range of AoO spanning 30 years. The pathophysiological drivers and clinical impact of AoO variation in this population are unknown. We examined brains of 23 patients focusing on generation and deposition of beta-amyloid (Aβ) and Tau pathology profile. In 14 patients distributed at the extremes of AoO, we performed whole-exome capture to identify genotype–phenotype correlations. We also studied kinome activity, proteasome activity, and protein polyubiquitination in brain tissue, associating it with Tau phosphorylation profiles. PSEN1-E280A patients showed a bimodal distribution for AoO. Besides AoO, there were no clinical differences between analyzed groups. Despite the effect of mutant PSEN1 on production of Aβ, there were no relevant differences between groups in generation and deposition of Aβ. However, differences were found in hyperphosphorylated Tau (pTau) pathology, where early onset patients showed severe pathology with diffuse aggregation pattern associated with increased activation of stress kinases. In contrast, late-onset patients showed lesser pTau pathology and a distinctive kinase activity. Furthermore, we identified new protective genetic variants affecting ubiquitin–proteasome function in early onset patients, resulting in higher ubiquitin-dependent degradation of differentially phosphorylated Tau. In PSEN1-E280A carriers, altered γ-secretase activity and resulting Aβ accumulation are prerequisites for early AoO. However, Tau hyperphosphorylation pattern, and its degradation by the proteasome, drastically influences disease onset in individuals with otherwise similar Aβ pathology, hinting toward a multifactorial model of disease for FAD. In sporadic AD (SAD), a wide range of heterogeneity, also influenced by Tau pathology, has been identified. Thus, Tau-induced heterogeneity is a common feature in both AD variants, suggesting that a multi-target therapeutic approach should be used to treat AD.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00401-020-02249-0.

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          Most cited references66

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          Cytoscape: a software environment for integrated models of biomolecular interaction networks.

          Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
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            Alzheimer's disease.

            Although the prevalence of dementia continues to increase worldwide, incidence in the western world might have decreased as a result of better vascular care and improved brain health. Alzheimer's disease, the most prevalent cause of dementia, is still defined by the combined presence of amyloid and tau, but researchers are gradually moving away from the simple assumption of linear causality as proposed in the original amyloid hypothesis. Age-related, protective, and disease-promoting factors probably interact with the core mechanisms of the disease. Amyloid β42, and tau proteins are established core cerebrospinal biomarkers; novel candidate biomarkers include amyloid β oligomers and synaptic markers. MRI and fluorodeoxyglucose PET are established imaging techniques for diagnosis of Alzheimer's disease. Amyloid PET is gaining traction in the clinical arena, but validity and cost-effectiveness remain to be established. Tau PET might offer new insights and be of great help in differential diagnosis and selection of patients for trials. In the search for understanding the disease mechanism and keys to treatment, research is moving increasingly into the earliest phase of disease. Preclinical Alzheimer's disease is defined as biomarker evidence of Alzheimer's pathological changes in cognitively healthy individuals. Patients with subjective cognitive decline have been identified as a useful population in whom to look for preclinical Alzheimer's disease. Moderately positive results for interventions targeting several lifestyle factors in non-demented elderly patients and moderately positive interim results for lowering amyloid in pre-dementia Alzheimer's disease suggest that, ultimately, there will be a future in which specific anti-Alzheimer's therapy will be combined with lifestyle interventions targeting general brain health to jointly combat the disease. In this Seminar, we discuss the main developments in Alzheimer's research.
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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
                dsepulve@uke.de
                m.glatzel@uke.de
                Journal
                Acta Neuropathol
                Acta Neuropathol
                Acta Neuropathologica
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0001-6322
                1432-0533
                14 December 2020
                14 December 2020
                2021
                : 141
                : 2
                : 217-233
                Affiliations
                [1 ]GRID grid.13648.38, ISNI 0000 0001 2180 3484, Institute of Neuropathology, , University Medical Center Hamburg-Eppendorf, ; Hamburg, Germany
                [2 ]GRID grid.412881.6, ISNI 0000 0000 8882 5269, Neuroscience Group of Antioquia, Faculty of Medicine, , University of Antioquia, ; Medellín, Colombia
                [3 ]VIB Center for Brain and Disease Research, 3000 Leuven, Belgium
                [4 ]GRID grid.5596.f, ISNI 0000 0001 0668 7884, Department of Neurology, , KU Leuven, ; Leuven, Belgium
                [5 ]GRID grid.8761.8, ISNI 0000 0000 9919 9582, Institute of Neuroscience and Physiology, Dept. of Psychiatry and Neurochemistry, , The Sahlgrenska Academy At the University of Gothenburg, ; Mölndal, Sweden
                [6 ]GRID grid.1649.a, ISNI 000000009445082X, Clinical Neurochemistry Laboratory, , Sahlgrenska University Hospital, Mölndal, ; 431 80 Mölndal, Sweden
                [7 ]GRID grid.1001.0, ISNI 0000 0001 2180 7477, Department of Genome Sciences, , John Curtin School of Medical Research, Australian National University, ; Canberra, ACT Australia
                [8 ]GRID grid.412188.6, ISNI 0000 0004 0486 8632, Universidad del Norte, ; Barranquilla, Colombia
                [9 ]Department of Neurology, Massachusetts General Hospital, Harvard Medical School, MassGeneral Institute for Neurodegenerative Disease, Charlestown, USA
                [10 ]GRID grid.440787.8, ISNI 0000 0000 9702 069X, Facultad de Ciencias Naturales, Departamento de Ciencias Farmaceuticas, , Universidad Icesi, ; Grupo Natura, Calle 18 No. 122 -135, Cali, Colombia
                [11 ]GRID grid.412881.6, ISNI 0000 0000 8882 5269, GIPSI Group, Department of Psychiatry, Medical Research Institute, , University of Antioquia, ; Medellín, Colombia
                [12 ]GRID grid.83440.3b, ISNI 0000000121901201, UK Dementia Research Institute, , University College London, Queen Square, ; London, WC1N 3BG UK
                Author information
                http://orcid.org/0000-0003-0176-2042
                Article
                2249
                10.1007/s00401-020-02249-0
                7847436
                33319314
                fd4abc1f-4ba0-45cf-805e-c150f281b2f0
                © The Author(s) 2020

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 October 2020
                : 22 November 2020
                : 23 November 2020
                Funding
                Funded by: Hamburg Landesforschungsförderung
                Award ID: Molekularemechanismen der netzwerkmodifizierung
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100002347, Bundesministerium für Bildung und Forschung;
                Award ID: UndoAD
                Award Recipient :
                Funded by: Fonds Wetenschappelijk Onderzoek (BE)
                Funded by: Vlaams Initiatief voor Netwerken voor Dementie Onderzoek
                Award ID: 135043
                Award Recipient :
                Funded by: Stiftelsen Gamla Tjänarinnor
                Funded by: Eccles Scholarship in Medical Sciences
                Funded by: FundRef http://dx.doi.org/10.13039/501100001655, Deutscher Akademischer Austauschdienst;
                Funded by: Colciencias, Ministerio de Ciencia y Tecnología
                Award ID: 1115 657 41185
                Award Recipient :
                Funded by: Swedish Alzheimer Foundation
                Award ID: AF-553101
                Award Recipient :
                Funded by: John Curtin School of Medical Research
                Funded by: FundRef http://dx.doi.org/10.13039/100000957, Alzheimer's Association;
                Award ID: 2018-AARF-591935
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: RF1AG059789
                Award Recipient :
                Funded by: National Institutes of Health (US)
                Award ID: R56AG061196
                Award Recipient :
                Funded by: Universitätsklinikum Hamburg-Eppendorf (UKE) (5411)
                Categories
                Original Paper
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2021

                Neurology
                Neurology

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