O4-08-06: To what extent do common, age-related pathologies contribute to late life cognitive decline?

2013 ◽  
Vol 9 ◽  
pp. P699-P700
Author(s):  
Patricia Boyle ◽  
Robert Wilson ◽  
Lei Yu ◽  
Julie Schneider ◽  
David Bennett
2021 ◽  
Author(s):  
Raihaan Patel ◽  
Clare E. Mackay ◽  
Michelle G. Jansen ◽  
Gabriel A. Devenyi ◽  
M. Clare O’Donoghue ◽  
...  

AbstractWhile all individuals are susceptible to age-related cognitive decline, significant inter- and intra-individual variability exists. However, the sources of this variation remain poorly understood. Here, we examined the association between 30-year trajectories of cognitive decline and multimodal indices of brain microstructure and morphology in older age. We used the Whitehall II Study, an extensively characterised cohort using 3T brain magnetic resonance images acquired at older age (mean age = 69.52 ± 4.9) and 5 repeated cognitive performance assessments between mid-life (mean age = 53.2 ± 4.9 years) and late-life (mean age = 67.7 ± 4.9). Using non-negative matrix factorization, we identified 10 brain microstructural components that integrate measures of cortical thickness, surface area, fractional anisotropy, and mean and radial diffusivities. We observed two modes of variance that describe the association between cognition and brain microstructure. The first describes variations in 5 microstructural components associated with low mid-life performance across multiple cognitive domains, decline in reasoning abilities, but a relative maintenance of lexical and semantic fluency from mid-to-late life. The second describes variations in 5 microstructural components that are associated with low mid-life performance in lexical fluency, semantic fluency and short-term memory performance, but a retention of abilities in multiple domains from mid-to-late life. The extent to which a subject loads onto a latent variables predicts their future cognitive performance 3.2 years later (mean age = 70.87 ± 4.9). This data-driven approach highlights a complex pattern of brain-behavior relationships, wherein the same individuals express both decline and maintenance in function across cognitive domains and in brain structural features.Significance StatementAlthough declines in cognitive performance are an established aspect of aging, inter- and intra-individual variation exists. Nevertheless, the sources of this variation remain unclear. We analyse a unique sample to examine associations between 30-year trajectories of cognitive decline and multimodal indices of brain anatomy in older age. Using data-driven techniques, we find that age-related cognitive decline is not uniform. Instead, each individual expresses a mixture of maintenance and decline across cognitive domains, that are associated with a mixture of preservation and degeneration of brain structure. Further, we find the primary determinants of late-life cognitive performance are mid-life performance and higher brain surface area. These results suggest that early and mid-life preventative measures may be needed to reduce age-related cognitive decline.


2012 ◽  
Vol 8 (4S_Part_4) ◽  
pp. P147-P147
Author(s):  
Mathew Summers ◽  
Michael Valenzuela ◽  
Jeffery Summers ◽  
Karen Ritchie ◽  
Tracey Dickson ◽  
...  

2017 ◽  
Vol 30 (7) ◽  
pp. 981-990 ◽  
Author(s):  
Marcus Praetorius Björk ◽  
Boo Johansson

ABSTRACTBackground:A recently published study suggests that Gamma-Glutamyltransferase (GGT) in midlife is related to an increased risk of dementia. In the present longitudinal study, we explore the effects of serum GGT on cognitive decline and dementia also in more advanced ages.Methods:We analyzed GGT in a sample of 452 individuals, aged 80 years and older at baseline, with the purpose to explore subsequent effects on cognitive performance. We specifically modeled GGT to cognitive change, time to death, and dementia.Results:Our main finding is that a higher level of GGT is associated with cognitive decline prior to death and vascular dementia in late life. These findings were evident across cognitive domains.Conclusions:This is the first longitudinal study to report on significant associations in late life between GGT, cognitive performance and dementia. Further research is needed to examine the underlying mechanisms of GGT as a marker of age-related cognitive decline.


Neurology ◽  
2020 ◽  
Vol 95 (14) ◽  
pp. e1951-e1962
Author(s):  
Alifiya Kapasi ◽  
Lei Yu ◽  
Patricia A. Boyle ◽  
Lisa L. Barnes ◽  
David A. Bennett ◽  
...  

ObjectiveTo examine the impact of 3 pathologic groups, pure limbic-predominant age-related transactive response DNA-binding protein 43 encephalopathy (LATE) neuropathologic changes (NC), pure Alzheimer disease neuropathologic change (ADNC), and mixed ADNC with LATE-NC, on late-life cognitive decline.MethodsData came from 1,356 community-based older persons who completed detailed annual cognitive testing and systematic neuropathologic examination at autopsy to identify LATE-NC, ADNC, and other age-related pathologies. Persons were categorized into (0) a group without a pathologic diagnosis of LATE or ADNC (n = 378), (1) LATE-NC without ADNC (n = 91), (2) ADNC without LATE-NC (n = 535), and (3) mixed ADNC with LATE-NC (n = 352). We used mixed-effect models to examine the group associations with rate of decline in global cognition and 5 cognitive domains and then examined whether age modified associations.ResultsCompared to those without LATE-NC or ADNC, those with pure LATE-NC had a faster decline in global cognition (p = 0.025) and episodic memory (p = 0.002); however, compared to persons with pure ADNC, those with pure LATE-NC showed a slower decline. Those with mixed ADNC with LATE-NC showed the fastest decline compared to those with either pathology alone. Persons ≥90 years of age with mixed ADNC with LATE-NC had slower cognitive decline compared to those ≤89 years of age.ConclusionPersons with pure LATE-NC follow a slower trajectory compared to those with pure ADNC. Those with mixed LATE/ADNC have a steeper decline than individuals with either pathology alone. In addition, age may modify the effect of pathology on cognitive decline. These findings have important implications for the development of biomarkers and prognosis for late-life cognitive decline.Classification of evidenceThis study provides Class I evidence that LATE-NC and Alzheimer disease pathologic changes are associated with different trajectories of late-life cognitive decline.


2019 ◽  
Vol 27 (3) ◽  
pp. S43-S44
Author(s):  
Anu Sharma ◽  
Bret R Rutherford ◽  
Frank Lin ◽  
Justin Scott Golub ◽  
Katharine Kim Brewster

2018 ◽  
Vol 175 (3) ◽  
pp. 215-224 ◽  
Author(s):  
Bret R. Rutherford ◽  
Katharine Brewster ◽  
Justin S. Golub ◽  
Ana H. Kim ◽  
Steven P. Roose

2020 ◽  
Vol 189 (8) ◽  
pp. 788-800
Author(s):  
Shelly-Ann M Love ◽  
Kari E North ◽  
Donglin Zeng ◽  
Natalia Petruski-Ivleva ◽  
Anna Kucharska-Newton ◽  
...  

Abstract Faster rates of age-related cognitive decline might result in early onset of cognitive impairment and dementia. The relationship between ethanol intake and cognitive decline, although studied extensively, remains poorly understood. Previous studies used single measurements of ethanol, and few were conducted in diverse populations. We assessed the association of 9-year trajectories of ethanol intake (1987–1998) with 15-year rate of decline in cognitive performance from mid- to late life (1996–2013) among 2,169 Black and 8,707 White participants of the US Atherosclerosis Risk in Communities study using multivariable linear regression models. We hypothesized that stable, low to moderate drinking would be associated with lesser 15-year cognitive decline, and stable, heavy drinking with greater 15-year cognitive decline. Stable, low to moderate drinking (for Blacks, adjusted mean difference (MD) = 0.03 (95% confidence interval (CI): −0.13, 0.19); for Whites, adjusted MD = 0.02 (95% CI: −0.05, 0.08)) and stable, heavy drinking (for Blacks, adjusted MD = 0.08 (95% CI: −0.34, 0.50); for Whites, adjusted MD = −0.03 (95% CI: −0.18, 0.11)) in midlife compared with stable never-drinking were not associated with 15-year decline in general cognitive function from mid- to late life. No association was observed for the stable former and “mostly” drinking trajectories with 15-year cognitive decline. Stable low, low to moderate, and stable heavy drinking in midlife are not associated with lesser and greater cognitive decline, respectively, from mid- to late life among Black and White adults.


Brain ◽  
2017 ◽  
pp. aww341 ◽  
Author(s):  
Patricia A. Boyle ◽  
Jingyun Yang ◽  
Lei Yu ◽  
Sue E. Leurgans ◽  
Ana W. Capuano ◽  
...  

Brain ◽  
2021 ◽  
Author(s):  
Patricia A Boyle ◽  
Tianhao Wang ◽  
Lei Yu ◽  
Robert S Wilson ◽  
Robert Dawe ◽  
...  

Abstract The aging brain is vulnerable to a wide array of neuropathologies. Prior work estimated that the three most studied of these, Alzheimer’s disease (AD), infarcts, and Lewy bodies, account for about 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. 1,164 deceased participants from two longitudinal clinical-pathologic 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. Neuropathologic examinations provided 11 pathologic indices, including markers of AD, non-AD 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 pathologic indices with global cognitive decline, and random change point models examined the relation of the pathologic 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 the 11 pathologic indices were associated with faster decline and accounted for between 2 and 34% of the variation in decline, respectively. When considered simultaneously, the 11 pathologic indices together accounted for a total of 43% of the variation in decline; AD-related indices accounted for 30–36% of the variation, non-AD neurodegenerative indices 4–10%, and cerebrovascular indices 3–8%. Finally, the 11 pathologic 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 aging and have important implications for the ongoing effort to develop effective therapeutics and identify novel treatment targets.


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