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      Amyloid-beta uptake by blood monocytes is reduced with ageing and Alzheimer’s disease

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          Abstract

          Deficits in the clearance of amyloid β-protein (Aβ) play a pivotal role in the pathogenesis of sporadic Alzheimer’s disease (AD). The roles of blood monocytes in the development of AD remain unclear. In this study, we sought to investigate the alterations in the Aβ phagocytosis function of peripheral monocytes during ageing and in AD patients. A total of 104 cognitively normal participants aged 22–89 years, 24 AD patients, 25 age- and sex-matched cognitively normal (CN) subjects, 15 Parkinson’s disease patients (PD), and 15 age- and sex-matched CN subjects were recruited. The Aβ uptake by blood monocytes was measured and its alteration during ageing and in AD patients were investigated. Aβ 1-42 uptake by monocytes decreased during ageing and further decreased in AD but not in PD patients. Aβ 1-42 uptake by monocytes was associated with Aβ 1-42 levels in the blood. Among the Aβ uptake-related receptors and enzymes, the expression of Toll-like receptor 2 (TLR2) was reduced in monocytes from AD patients. Our findings suggest that monocytes regulate the blood levels of Aβ and might be involved in the development of AD. The recovery of the Aβ uptake function by blood monocytes represents a potential therapeutic strategy for AD.

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          Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing

          Risk for late-onset Alzheimer's disease (LOAD), the most prevalent dementia, is partially driven by genetics. To identify LOAD risk loci, we performed a large genome-wide association meta-analysis of clinically diagnosed LOAD (94,437 individuals). We confirm 20 previous LOAD risk loci and identify five new genome-wide loci (IQCK, ACE, ADAM10, ADAMTS1, and WWOX), two of which (ADAM10, ACE) were identified in a recent genome-wide association (GWAS)-by-familial-proxy of Alzheimer's or dementia. Fine-mapping of the human leukocyte antigen (HLA) region confirms the neurological and immune-mediated disease haplotype HLA-DR15 as a risk factor for LOAD. Pathway analysis implicates immunity, lipid metabolism, tau binding proteins, and amyloid precursor protein (APP) metabolism, showing that genetic variants affecting APP and Aβ processing are associated not only with early-onset autosomal dominant Alzheimer's disease but also with LOAD. Analyses of risk genes and pathways show enrichment for rare variants (P = 1.32 × 10-7), indicating that additional rare variants remain to be identified. We also identify important genetic correlations between LOAD and traits such as family history of dementia and education.
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            Ageing as a risk factor for neurodegenerative disease

            Ageing is the primary risk factor for most neurodegenerative diseases, including Alzheimer disease (AD) and Parkinson disease (PD). One in ten individuals aged ≥65 years has AD and its prevalence continues to increase with increasing age. Few or no effective treatments are available for ageing-related neurodegenerative diseases, which tend to progress in an irreversible manner and are associated with large socioeconomic and personal costs. This Review discusses the pathogenesis of AD, PD and other neurodegenerative diseases, and describes their associations with the nine biological hallmarks of ageing: genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, mitochondrial dysfunction, cellular senescence, deregulated nutrient sensing, stem cell exhaustion and altered intercellular communication. The central biological mechanisms of ageing and their potential as targets of novel therapies for neurodegenerative diseases are also discussed, with potential therapies including NAD+ precursors, mitophagy inducers and inhibitors of cellular senescence.
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              The global prevalence of dementia: a systematic review and metaanalysis.

              The evidence base on the prevalence of dementia is expanding rapidly, particularly in countries with low and middle incomes. A reappraisal of global prevalence and numbers is due, given the significant implications for social and public policy and planning. In this study we provide a systematic review of the global literature on the prevalence of dementia (1980-2009) and metaanalysis to estimate the prevalence and numbers of those affected, aged ≥60 years in 21 Global Burden of Disease regions. Age-standardized prevalence for those aged ≥60 years varied in a narrow band, 5%-7% in most world regions, with a higher prevalence in Latin America (8.5%), and a distinctively lower prevalence in the four sub-Saharan African regions (2%-4%). It was estimated that 35.6 million people lived with dementia worldwide in 2010, with numbers expected to almost double every 20 years, to 65.7 million in 2030 and 115.4 million in 2050. In 2010, 58% of all people with dementia lived in countries with low or middle incomes, with this proportion anticipated to rise to 63% in 2030 and 71% in 2050. The detailed estimates in this study constitute the best current basis for policymaking, planning, and allocation of health and welfare resources in dementia care. The age-specific prevalence of dementia varies little between world regions, and may converge further. Future projections of numbers of people with dementia may be modified substantially by preventive interventions (lowering incidence), improvements in treatment and care (prolonging survival), and disease-modifying interventions (preventing or slowing progression). All countries need to commission nationally representative surveys that are repeated regularly to monitor trends. Copyright © 2013 The Alzheimer's Association. Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                cytgzy2020@163.com
                yanjiang_wang@tmmu.edu.cn
                Journal
                Transl Psychiatry
                Transl Psychiatry
                Translational Psychiatry
                Nature Publishing Group UK (London )
                2158-3188
                8 December 2020
                8 December 2020
                2020
                : 10
                : 423
                Affiliations
                [1 ]GRID grid.410570.7, ISNI 0000 0004 1760 6682, Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, , Third Military Medical University, ; Chongqing, China
                [2 ]GRID grid.410570.7, ISNI 0000 0004 1760 6682, The Institute of Brain and Intelligence, , Third Military Medical University, ; Chongqing, China
                [3 ]Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
                [4 ]GRID grid.410570.7, ISNI 0000 0004 1760 6682, Department of Health Management, Daping Hospital, , Third Military Medical University, ; Chongqing, China
                [5 ]GRID grid.410570.7, ISNI 0000 0004 1760 6682, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, , Third Military Medical University, ; Chongqing, China
                [6 ]GRID grid.9227.e, ISNI 0000000119573309, Center for Excellence in Brain Science and Intelligence Technology, , Chinese Academy of Sciences, ; Shanghai, China
                Author information
                http://orcid.org/0000-0002-5711-9251
                http://orcid.org/0000-0002-1707-8184
                http://orcid.org/0000-0002-2331-3339
                http://orcid.org/0000-0003-4559-292X
                http://orcid.org/0000-0002-5536-3293
                http://orcid.org/0000-0003-3117-7231
                http://orcid.org/0000-0002-6227-6112
                Article
                1113
                10.1038/s41398-020-01113-9
                7722845
                33293506
                ee58ccbb-0ace-4ef1-bee0-a44f45577363
                © The Author(s) 2020

                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
                : 17 July 2020
                : 7 November 2020
                : 17 November 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 91749206
                Award ID: 81625007
                Award ID: 31921003
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Clinical Psychology & Psychiatry
                diseases,psychiatric disorders
                Clinical Psychology & Psychiatry
                diseases, psychiatric disorders

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