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      Clusterin in Alzheimer’s Disease: Mechanisms, Genetics, and Lessons From Other Pathologies

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          Abstract

          Clusterin (CLU) or APOJ is a multifunctional glycoprotein that has been implicated in several physiological and pathological states, including Alzheimer’s disease (AD). With a prominent extracellular chaperone function, additional roles have been discussed for clusterin, including lipid transport and immune modulation, and it is involved in pathways common to several diseases such as cell death and survival, oxidative stress, and proteotoxic stress. Although clusterin is normally a secreted protein, it has also been found intracellularly under certain stress conditions. Multiple hypotheses have been proposed regarding the origin of intracellular clusterin, including specific biogenic processes leading to alternative transcripts and protein isoforms, but these lines of research are incomplete and contradictory. Current consensus is that intracellular clusterin is most likely to have exited the secretory pathway at some point or to have re-entered the cell after secretion. Clusterin’s relationship with amyloid beta (Aβ) has been of great interest to the AD field, including clusterin’s apparent role in altering Aβ aggregation and/or clearance. Additionally, clusterin has been more recently identified as a mediator of Aβ toxicity, as evidenced by the neuroprotective effect of CLU knockdown and knockout in rodent and human iPSC-derived neurons. CLU is also the third most significant genetic risk factor for late onset AD and several variants have been identified in CLU. Although the exact contribution of these variants to altered AD risk is unclear, some have been linked to altered CLU expression at both mRNA and protein levels, altered cognitive and memory function, and altered brain structure. The apparent complexity of clusterin’s biogenesis, the lack of clarity over the origin of the intracellular clusterin species, and the number of pathophysiological functions attributed to clusterin have all contributed to the challenge of understanding the role of clusterin in AD pathophysiology. Here, we highlight clusterin’s relevance to AD by discussing the evidence linking clusterin to AD, as well as drawing parallels on how the role of clusterin in other diseases and pathways may help us understand its biological function(s) in association with AD.

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          Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer's disease in late onset families.

          The apolipoprotein E type 4 allele (APOE-epsilon 4) is genetically associated with the common late onset familial and sporadic forms of Alzheimer's disease (AD). Risk for AD increased from 20% to 90% and mean age at onset decreased from 84 to 68 years with increasing number of APOE-epsilon 4 alleles in 42 families with late onset AD. Thus APOE-epsilon 4 gene dose is a major risk factor for late onset AD and, in these families, homozygosity for APOE-epsilon 4 was virtually sufficient to cause AD by age 80.
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            Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database.

            The past decade has witnessed hundreds of reports declaring or refuting genetic association with putative Alzheimer disease susceptibility genes. This wealth of information has become increasingly difficult to follow, much less interpret. We have created a publicly available, continuously updated database that comprehensively catalogs all genetic association studies in the field of Alzheimer disease (http://www.alzgene.org). We performed systematic meta-analyses for each polymorphism with available genotype data in at least three case-control samples. In addition to identifying the epsilon4 allele of APOE and related effects, we pinpointed over a dozen potential Alzheimer disease susceptibility genes (ACE, CHRNB2, CST3, ESR1, GAPDHS, IDE, MTHFR, NCSTN, PRNP, PSEN1, TF, TFAM and TNF) with statistically significant allelic summary odds ratios (ranging from 1.11-1.38 for risk alleles and 0.92-0.67 for protective alleles). Our database provides a powerful tool for deciphering the genetics of Alzheimer disease, and it serves as a potential model for tracking the most viable gene candidates in other genetically complex diseases.
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              TREM2 Binds to Apolipoproteins, Including APOE and CLU/APOJ, and Thereby Facilitates Uptake of Amyloid-Beta by Microglia.

              Genetic variants of TREM2, a protein expressed selectively by microglia in the brain, are associated with Alzheimer's disease (AD). Starting from an unbiased protein microarray screen, we identified a set of lipoprotein particles (including LDL) and apolipoproteins (including CLU/APOJ and APOE) as ligands of TREM2. Binding of these ligands by TREM2 was abolished or reduced by disease-associated mutations. Overexpression of wild-type TREM2 was sufficient to enhance uptake of LDL, CLU, and APOE in heterologous cells, whereas TREM2 disease variants were impaired in this activity. Trem2 knockout microglia showed reduced internalization of LDL and CLU. β-amyloid (Aβ) binds to lipoproteins and this complex is efficiently taken up by microglia in a TREM2-dependent fashion. Uptake of Aβ-lipoprotein complexes was reduced in macrophages from human subjects carrying a TREM2 AD variant. These data link three genetic risk factors for AD and reveal a possible mechanism by which mutant TREM2 increases risk of AD. VIDEO ABSTRACT.
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                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                28 February 2019
                2019
                : 13
                : 164
                Affiliations
                Department of Psychiatry, University of Oxford , Oxford, United Kingdom
                Author notes

                Edited by: Natalia N. Nalivaeva, University of Leeds, United Kingdom

                Reviewed by: Mark Richard Wilson, University of Wollongong, Australia; Celeste Karch, Washington University in St. Louis, United States

                *Correspondence: Noel J. Buckley, noel.buckley@ 123456psych.ox.ac.uk

                These authors have contributed equally to this work

                This article was submitted to Neurodegeneration, a section of the journal Frontiers in Neuroscience

                Article
                10.3389/fnins.2019.00164
                6403191
                30872998
                bc0b455c-917b-4ebe-88eb-aeb81c3abf9f
                Copyright © 2019 Foster, Dangla-Valls, Lovestone, Ribe and Buckley.

                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
                : 28 September 2018
                : 12 February 2019
                Page count
                Figures: 3, Tables: 1, Equations: 0, References: 335, Pages: 27, Words: 0
                Categories
                Neuroscience
                Review

                Neurosciences
                neurodegeneration,amyloid,cell death,neuroprotection,dkk1,oxidative stress,wnt signaling
                Neurosciences
                neurodegeneration, amyloid, cell death, neuroprotection, dkk1, oxidative stress, wnt signaling

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