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      Predictive blood biomarkers and brain changes associated with age-related cognitive decline

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          Abstract

          Growing evidence supports the use of plasma levels of tau phosphorylated at threonine 181, amyloid-β, neurofilament light and glial fibrillary acidic protein as promising biomarkers for Alzheimer’s disease. While these blood biomarkers are promising for distinguishing people with Alzheimer’s disease from healthy controls, their predictive validity for age-related cognitive decline without dementia remains unclear. Further, while tau phosphorylated at threonine 181 is a promising biomarker, the distribution of this phospho-epitope of tau in the brain is unknown. Here, we tested whether plasma levels of tau phosphorylated at threonine 181, amyloid-β, neurofilament light and fibrillary acidic protein predict cognitive decline between ages 72 and 82 in 195 participants in the Lothian birth cohorts 1936 study of cognitive ageing. We further examined post-mortem brain samples from temporal cortex to determine the distribution of tau phosphorylated at threonine 181 in the brain. Several forms of tau phosphorylated at threonine 181 have been shown to contribute to synapse degeneration in Alzheimer’s disease, which correlates closely with cognitive decline in this form of dementia, but to date, there have not been investigations of whether tau phosphorylated at threonine 181 is found in synapses in Alzheimer’s disease or healthy ageing brain. It was also previously unclear whether tau phosphorylated at threonine 181 accumulated in dystrophic neurites around plaques, which could contribute to tau leakage to the periphery due to impaired membrane integrity in dystrophies. Brain homogenate and biochemically enriched synaptic fractions were examined with western blot to examine tau phosphorylated at threonine 181 levels between groups ( n = 10–12 per group), and synaptic and astrocytic localization of tau phosphorylated at threonine 181 were examined using array tomography ( n = 6–15 per group), and localization of tau phosphorylated at threonine 181 in plaque-associated dystrophic neurites with associated gliosis were examined with standard immunofluorescence ( n = 8–9 per group).

          Elevated baseline plasma tau phosphorylated at threonine 181, neurofilament light and fibrillary acidic protein predicted steeper general cognitive decline during ageing. Further, increasing tau phosphorylated at threonine 181 over time predicted general cognitive decline in females only. Change in plasma tau phosphorylated at threonine 181 remained a significant predictor of g factor decline when taking into account Alzheimer’s disease polygenic risk score, indicating that the increase of blood tau phosphorylated at threonine 181 in this cohort was not only due to incipient Alzheimer’s disease. Tau phosphorylated at threonine 181 was observed in synapses and astrocytes in both healthy ageing and Alzheimer’s disease brain. We observed that a significantly higher proportion of synapses contain tau phosphorylated at threonine 181 in Alzheimer’s disease relative to aged controls. Aged controls with pre-morbid lifetime cognitive resilience had significantly more tau phosphorylated at threonine 181 in fibrillary acidic protein-positive astrocytes than those with pre-morbid lifetime cognitive decline. Further, tau phosphorylated at threonine 181 was found in dystrophic neurites around plaques and in some neurofibrillary tangles. The presence of tau phosphorylated at threonine 181 in plaque-associated dystrophies may be a source of leakage of tau out of neurons that eventually enters the blood. Together, these data indicate that plasma tau phosphorylated at threonine 181, neurofilament light and fibrillary acidic protein may be useful biomarkers of age-related cognitive decline, and that efficient clearance of tau phosphorylated at threonine 181 by astrocytes may promote cognitive resilience.

          Abstract

          Saunders et al. report that plasma levels of phospho-tau181, neurofilament-light and glial fibrillary acid protein predict steeper general cognitive decline in adults aged between 72 and 82 years. Further, they report the presence of phospho-tau181 in synapses and astrocytes of Alzheimer’s cases and aged controls.

          See Saura and Parra-Damas ( https://doi.org/10.1093/braincomms/fcad142) for a scientific commentary on this article.

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            The hospital anxiety and depression scale.

            A self-assessment scale has been developed and found to be a reliable instrument for detecting states of depression and anxiety in the setting of an hospital medical outpatient clinic. The anxiety and depressive subscales are also valid measures of severity of the emotional disorder. It is suggested that the introduction of the scales into general hospital practice would facilitate the large task of detection and management of emotional disorder in patients under investigation and treatment in medical and surgical departments.
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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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                Author and article information

                Contributors
                Journal
                Brain Commun
                Brain Commun
                braincomms
                Brain Communications
                Oxford University Press (US )
                2632-1297
                2023
                06 April 2023
                06 April 2023
                : 5
                : 3
                : fcad113
                Affiliations
                UK Dementia Research Institute and Centre for Discovery Brain Sciences at the University of Edinburgh, Edinburgh , EH8 9JZ, UK
                Edinburgh Dementia Prevention & Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh , EH4 2XU, UK
                UK Dementia Research Institute and Centre for Discovery Brain Sciences at the University of Edinburgh, Edinburgh , EH8 9JZ, UK
                United Kingdom UK Dementia Research Institute at University College London, UCL Institute of Neurology, Queen Square, London , WC1N 3BG, UK
                Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London , WC1N 3BG, UK
                UK Dementia Research Institute and Centre for Discovery Brain Sciences at the University of Edinburgh, Edinburgh , EH8 9JZ, UK
                UK Dementia Research Institute and Centre for Discovery Brain Sciences at the University of Edinburgh, Edinburgh , EH8 9JZ, UK
                UK Dementia Research Institute and Centre for Discovery Brain Sciences at the University of Edinburgh, Edinburgh , EH8 9JZ, UK
                Lothian Birth Cohort studies, Department of Psychology, University of Edinburgh, Edinburgh , EH8 9AD, UK
                Edinburgh Dementia Prevention & Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh , EH4 2XU, UK
                Edinburgh Dementia Prevention & Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh , EH4 2XU, UK
                Department of Social Medicine, Ohio University, Athens , Ohio 45701, USA
                Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez , Santiago 3485, Chile
                Lothian Birth Cohort studies, Department of Psychology, University of Edinburgh, Edinburgh , EH8 9AD, UK
                Lothian Birth Cohort studies, Department of Psychology, University of Edinburgh, Edinburgh , EH8 9AD, UK
                United Kingdom UK Dementia Research Institute at University College London, UCL Institute of Neurology, Queen Square, London , WC1N 3BG, UK
                Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London , WC1N 3BG, UK
                Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg , S-431 80 Molndal, Sweden
                Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital , S-431 80 Molndal, Sweden
                Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay , Hong Kong, China
                UK Dementia Research Institute and Centre for Discovery Brain Sciences at the University of Edinburgh, Edinburgh , EH8 9JZ, UK
                Author notes
                Correspondence to: Prof Tara Spires-Jones UK Dementia Research Institute and Centre for Discovery Brain Sciences University of Edinburgh, 1 George Square, Edinburgh EH8 9JZ, UK E-mail: tara.spires-jones@ 123456ed.ac.uk
                Author information
                https://orcid.org/0000-0002-0745-3067
                https://orcid.org/0000-0002-2434-9317
                https://orcid.org/0000-0003-1647-8642
                https://orcid.org/0000-0003-2616-2182
                https://orcid.org/0000-0003-3930-4354
                https://orcid.org/0000-0003-2530-0598
                Article
                fcad113
                10.1093/braincomms/fcad113
                10167767
                37180996
                f05d82a5-05c9-4bbe-a6c1-6ddf6eeb0b48
                © The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 July 2022
                : 28 December 2022
                : 05 April 2023
                Page count
                Pages: 22
                Funding
                Funded by: European Research Council, DOI 10.13039/501100000781;
                Award ID: #681712
                Award ID: #ALFGBG-720931
                Funded by: Alzheimer Drug Discovery Foundation, DOI 10.13039/100002565;
                Award ID: #201809-2016862
                Award ID: #ADSF-21-831376-C
                Award ID: #ADSF-21-831381-C
                Award ID: #ADSF-21-831377-C
                Funded by: Erling-Persson Family Foundation, DOI 10.13039/100007436;
                Funded by: Stiftelsen för Gamla Tjänarinnor, DOI 10.13039/100010815;
                Award ID: #FO2019-0228
                Award ID: 860197
                Funded by: UK Dementia Research Institute, doi 10.13039/501100017510;
                Funded by: UK Medical Research Council, doi 10.13039/501100000265;
                Funded by: Alzheimer’s Research UK, DOI 10.13039/501100002283;
                Award ID: 681181
                Award ID: BB/W008793/1
                Funded by: Medical Research Council, doi 10.13039/501100000265;
                Award ID: G0701120
                Award ID: G1001245
                Award ID: MR/M013111/1
                Award ID: MR/R024065/1
                Award ID: R01AG054628
                Funded by: Wellcome Trust, DOI 10.13039/100004440;
                Award ID: 221890/Z/20/Z
                Categories
                Original Article
                AcademicSubjects/MED00310
                AcademicSubjects/SCI01870

                array tomography,cognition,cognitive ageing,plasma biomarkers,western blotting

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