Literature DB >> 33742668

To what degree is late life cognitive decline driven by age-related neuropathologies?

Patricia A Boyle1,2, Tianhao Wang1,3, Lei Yu1,3, Robert S Wilson1,2,3, Robert Dawe1,4, Konstantinos Arfanakis1,4,5, Julie A Schneider1,3,6, David A Bennett1,3.   

Abstract

The ageing brain is vulnerable to a wide array of neuropathologies. Prior work estimated that the three most studied of these, Alzheimer's disease, infarcts, and Lewy bodies, account for ∼40% of the variation in late life cognitive decline. However, that estimate did not incorporate many other diseases that are now recognized as potent drivers of cognitive decline [e.g. limbic predominant age-related TDP-43 encephalopathy (LATE-NC), hippocampal sclerosis, other cerebrovascular conditions]. We examined the degree to which person-specific cognitive decline in old age is driven by a wide array of neuropathologies. Deceased participants (n = 1164) from two longitudinal clinical-pathological studies, the Rush Memory and Aging Project and Religious Orders Study, completed up to 24 annual evaluations including 17 cognitive performance tests and underwent brain autopsy. Neuropathological examinations provided 11 pathological indices, including markers of Alzheimer's disease, non- Alzheimer's disease neurodegenerative diseases (i.e. LATE-NC, hippocampal sclerosis, Lewy bodies), and cerebrovascular conditions (i.e. macroscopic infarcts, microinfarcts, cerebral amyloid angiopathy, atherosclerosis, and arteriolosclerosis). Mixed effects models examined the linear relation of pathological indices with global cognitive decline, and random change point models examined the relation of the pathological indices with the onset of terminal decline and rates of preterminal and terminal decline. Cognition declined an average of about 0.10 unit per year (estimate = -0.101, SE = 0.003, P < 0.001) with considerable heterogeneity in rates of decline (variance estimate for the person-specific slope of decline was 0.0094, P < 0.001). When considered separately, 10 of 11 pathological indices were associated with faster decline and accounted for between 2% and 34% of the variation in decline, respectively. When considered simultaneously, the 11 pathological indices together accounted for 43% of the variation in decline; Alzheimer's disease-related indices accounted for 30-36% of the variation, non-Alzheimer's disease neurodegenerative indices 4-10%, and cerebrovascular indices 3-8%. Finally, the 11 pathological indices combined accounted for less than a third of the variation in the onset of terminal decline (28%) and rates of preterminal (32%) and terminal decline (19%). Although age-related neuropathologies account for a large proportion of the variation in late life cognitive decline, considerable variation remains unexplained even after considering a wide array of neuropathologies. These findings highlight the complexity of cognitive ageing and have important implications for the ongoing effort to develop effective therapeutics and identify novel treatment targets.
© The Author(s) (2021). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Alzheimer's disease; cognitive ageing; dementia; neuropathology; vascular

Mesh:

Year:  2021        PMID: 33742668      PMCID: PMC8370442          DOI: 10.1093/brain/awab092

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  14 in total

1.  Neuropathologic Correlates of Human Cortical Proteins in Alzheimer Disease and Related Dementias.

Authors:  Lei Yu; Patricia A Boyle; Aliza P Wingo; Jingyun Yang; Tianhao Wang; Aron S Buchman; Thomas S Wingo; Nicholas T Seyfried; Allan I Levey; Philip L De Jager; Julie A Schneider; David A Bennett
Journal:  Neurology       Date:  2021-12-22       Impact factor: 9.910

Review 2.  Recent update on the heterogeneity of the Alzheimer's disease spectrum.

Authors:  Kurt A Jellinger
Journal:  J Neural Transm (Vienna)       Date:  2021-12-17       Impact factor: 3.575

Review 3.  Biofluid-based biomarkers for Alzheimer's disease-related pathologies: An update and synthesis of the literature.

Authors:  Henrik Zetterberg
Journal:  Alzheimers Dement       Date:  2022-02-25       Impact factor: 16.655

Review 4.  Blood Pressure and Vascular Cognitive Impairment.

Authors:  Deborah A Levine; Mellanie V Springer; Amy Brodtmann
Journal:  Stroke       Date:  2022-03-10       Impact factor: 10.170

5.  Limbic-Predominant Age-Related TDP-43 Encephalopathy: Medical and Pathologic Factors Associated With Comorbid Hippocampal Sclerosis.

Authors:  Kathryn M Gauthreaux; Merilee A Teylan; Yuriko Katsumata; Charles Mock; Jessica E Culhane; Yen-Chi Chen; Kwun C G Chan; David W Fardo; Adam J Dugan; Matthew D Cykowski; Gregory A Jicha; Walter A Kukull; Peter T Nelson
Journal:  Neurology       Date:  2022-02-04       Impact factor: 11.800

6.  Reducing Your Risk of Alzheimer's Dementia: Building a Better Brain as We Age.

Authors:  David A Bennett
Journal:  Arch Clin Neuropsychol       Date:  2021-10-13       Impact factor: 3.448

7.  Right fronto-parietal networks mediate the neurocognitive benefits of enriched environments.

Authors:  Méadhbh B Brosnan; Nir Shalev; Jivesh Ramduny; Stamatios N Sotiropoulos; Magdalena Chechlacz
Journal:  Brain Commun       Date:  2022-03-28

8.  Developmental deficits and staging of dynamics of age associated Alzheimer's disease neurodegeneration and neuronal loss in subjects with Down syndrome.

Authors:  Jerzy Wegiel; Michael Flory; Izabela Kuchna; Krzysztof Nowicki; Jarek Wegiel; Shuang Yong Ma; Nanbert Zhong; Teresa Wierzba Bobrowicz; Mony de Leon; Florence Lai; Wayne P Silverman; Thomas Wisniewski
Journal:  Acta Neuropathol Commun       Date:  2022-01-04       Impact factor: 7.801

9.  Human Brain and Blood N-Glycome Profiling in Alzheimer's Disease and Alzheimer's Disease-Related Dementias.

Authors:  Lei Yu; Zhiguang Huo; Jingyun Yang; Helena Palma-Gudiel; Patricia A Boyle; Julie A Schneider; David A Bennett; Jinying Zhao
Journal:  Front Aging Neurosci       Date:  2021-10-27       Impact factor: 5.750

10.  Mixed Neuropathologies, Neural Motor Resilience and Target Discovery for Therapies of Late-Life Motor Impairment.

Authors:  Aron S Buchman; David A Bennett
Journal:  Front Hum Neurosci       Date:  2022-03-24       Impact factor: 3.169

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