scholarly journals Non‐linear relationship between plasma amyloid‐β 40 level and cognitive decline in a cognitively normal population

2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Fan Gao ◽  
Suhang Shang ◽  
Chen Chen ◽  
Liangjun Dang ◽  
Ling Gao ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Linear Relationship ◽  
Normal Population ◽  
Amyloid Β ◽  
Cognitively Normal ◽  
Non Linear

scholarly journals Amyloid‐ β , cortical thickness, and subsequent cognitive decline in cognitively normal oldest‐old

2021 ◽  
Vol 8 (2) ◽  
pp. 348-358
Author(s):  
Wiesje Pelkmans ◽  
Nienke Legdeur ◽  
Mara Kate ◽  
Frederik Barkhof ◽  
Maqsood M. Yaqub ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Cortical Thickness ◽  
Oldest Old ◽  
Amyloid Β ◽  
Cognitively Normal

scholarly journals The effect of amyloid β on cognitive decline is modulated by neural integrity in cognitively normal elderly

2013 ◽  
Vol 9 (6) ◽  
pp. 687-698.e1 ◽  
Author(s):  
Miranka Wirth ◽  
Hwamee Oh ◽  
Elizabeth C. Mormino ◽  
Candace Markley ◽  
Susan M. Landau ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Amyloid Β ◽  
Cognitively Normal

scholarly journals Social Engagement and Amyloid-β-Related Cognitive Decline in Cognitively Normal Older Adults

2019 ◽  
Vol 27 (11) ◽  
pp. 1247-1256 ◽  
Author(s):  
Kelsey D. Biddle ◽  
Federico d'Oleire Uquillas ◽  
Heidi I.L. Jacobs ◽  
Benjamin Zide ◽  
Dylan R. Kirn ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Social Engagement ◽  
Amyloid Β ◽  
Cognitively Normal

scholarly journals SPON1 Is Associated with Amyloid-β and APOE ε4-Related Cognitive Decline in Cognitively Normal Adults

2021 ◽  
Vol 5 (1) ◽  
pp. 111-120
Author(s):  
Shane Fernandez ◽  
Samantha C. Burnham ◽  
Lidija Milicic ◽  
Greg Savage ◽  
Paul Maruff ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Amyloid Β ◽  
Independent Effect ◽  
Imaging Biomarkers ◽  
Cognitively Normal ◽  
Study Results ◽  
Global Cognition ◽  
Mixed Modelling ◽  
Normal Adults

Abstract. Background: Genetic variation in Spondin-1, specifically rs11023139, has been associated with reduced rates of cognitive decline in individuals with Alzheimer’s disease. Objective: The aim of this study was to assess whether the association was present in cognitively normal older adults. Methods: Longitudinal cognitive decline was investigated using linear mixed modelling in a cohort of 590 cognitively normal older adults enrolled in the Australian Imaging, Biomarkers and Lifestyle Study. Results: No independent effect of Spondin-1 rs11023139 on cognitive decline was observed. However, significant associations were observed for the interaction between Apolipoprotein E (APOE) ɛ4 and rs11023139 in individuals with high amyloid-β burden. APOE ɛ4/rs11023139-A carriers declined significantly faster than APOE ɛ4/rs11023139-G_G carriers in measures of global cognition (p = 0.011) and verbal episodic memory (p = 0.020). Conclusion: These results suggest that carriage of the Spondin-1 rs11023139-A allele significantly contributes to a worsening of cognitive performance in APOE ɛ4 cognitively normal older adults with a high neocortical amyloid-β burden.

scholarly journals P3-305: SYNERGISTIC ADVERSE EFFECTS OF WIDOWHOOD AND AMYLOID-β ON COGNITIVE DECLINE IN COGNITIVELY NORMAL OLDER ADULTS

2019 ◽  
Vol 15 ◽  
pp. P1054-P1054
Author(s):  
Kelsey D. Biddle ◽  
Federico d'Oleire Uquillas ◽  
Benjamin Zide ◽  
Dylan Kirn ◽  
Heidi IL. Jacobs ◽  
...  
Keyword(s):  
Older Adults ◽  
Adverse Effects ◽  
Cognitive Decline ◽  
Amyloid Β ◽  
Cognitively Normal

scholarly journals Association of cortical microstructure with amyloid-β and tau: impact on cognitive decline, neurodegeneration, and clinical progression in older adults

2021 ◽  
Author(s):  
Elena Rodriguez-Vieitez ◽  
Victor Montal ◽  
Jorge Sepulcre ◽  
Cristina Lois ◽  
Bernard Hanseeuw ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Structural Changes ◽  
Mean Diffusivity ◽  
Amyloid Β ◽  
Cox Proportional Hazards ◽  
Aging Brain ◽  
Clinical Progression ◽  
Cognitively Normal

AbstractNoninvasive biomarkers of early neuronal injury may help identify cognitively normal individuals at risk of developing Alzheimer’s disease (AD). A recent diffusion-weighted imaging (DWI) method allows assessing cortical microstructure via cortical mean diffusivity (cMD), suggested to be more sensitive than macrostructural neurodegeneration. Here, we aimed to investigate the association of cMD with amyloid-β and tau pathology in older adults, and whether cMD predicts longitudinal cognitive decline, neurodegeneration and clinical progression. The study sample comprised n = 196 cognitively normal older adults (mean[SD] 72.5 [9.4] years; 114 women [58.2%]) from the Harvard Aging Brain Study. At baseline, all participants underwent structural MRI, DWI, 11C-Pittsburgh compound-B-PET, 18F-flortaucipir-PET imaging, and cognitive assessments. Longitudinal measures of Preclinical Alzheimer Cognitive Composite-5 were available for n = 186 individuals over 3.72 (1.96)-year follow-up. Prospective clinical follow-up was available for n = 163 individuals over 3.2 (1.7) years. Surface-based image analysis assessed vertex-wise relationships between cMD, global amyloid-β, and entorhinal and inferior-temporal tau. Multivariable regression, mixed effects models and Cox proportional hazards regression assessed longitudinal cognition, brain structural changes and clinical progression. Tau, but not amyloid-β, was positively associated with cMD in AD-vulnerable regions. Correcting for baseline demographics and cognition, increased cMD predicted steeper cognitive decline, which remained significant after correcting for amyloid-β, thickness, and entorhinal tau; there was a synergistic interaction between cMD and both amyloid-β and tau on cognitive slope. Regional cMD predicted hippocampal atrophy rate, independently from amyloid-β, tau, and thickness. Elevated cMD predicted progression to mild cognitive impairment. Cortical microstructure is a noninvasive biomarker that independently predicts subsequent cognitive decline, neurodegeneration and clinical progression, suggesting utility in clinical trials.

scholarly journals Relationship between Urinary Alzheimer-Associated Neuronal Thread Protein and Apolipoprotein Epsilon 4 Allele in the Cognitively Normal Population

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yuxia Li ◽  
Meimei Kang ◽  
Can Sheng ◽  
Guanqun Chen ◽  
Taoran Li ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Normal Population ◽  
Subjective Cognitive Decline ◽  
Cognitively Normal ◽  
Gene Testing ◽  
Significant Difference ◽  
History Of ◽  
Work Family ◽  
The Relationship ◽  
Chinese Subjects

We investigated the relationship between urinary Alzheimer-associated neuronal thread protein (AD7c-NTP) levels and apolipoprotein epsilon 4 (ApoE ɛ4) alleles, as well as other factors that cause cognitive decline, in the cognitively normal population. We recruited 329 cognitively normal right-handed Han Chinese subjects who completed ApoE gene testing and urinary AD7c-NTP testing. There was no significant difference in urinary AD7c-NTP levels between the normal control and subjective cognitive decline groups. Urinary AD7c-NTP levels were significantly higher in subjects with ApoE ɛ3/4 and 4/4 [0.6074 (0.6541) ng/mL] than in subjects without ApoE ɛ4 [0.4368 (0.3392) ng/mL and 0.5287 (0.3656) ng/mL], and urinary AD7c-NTP levels positively correlated with ApoE genotype grade (r=0.165, p=0.003). There were significant differences in urinary AD7c-NTP levels between subjects with and without a history of coronary heart disease or diabetes. Urinary AD7c-NTP levels were not related to years of education, nature of work, family history of dementia, a history of hypertension, stroke, anemia, or thyroid dysfunction. Urinary AD7c-NTP levels were positively correlated with ApoE grade in the cognitively normal population. The relationship between risk factors of cognitive decline and urinary AD7c-NTP levels provides a new way for us to understand AD and urinary AD7c-NTP.

scholarly journals Resilience to Plasma and Cerebrospinal Fluid Amyloid-β in Cognitively Normal Individuals: Findings From Two Cohort Studies

2021 ◽  
Vol 13 ◽  
Author(s):  
Li Lin ◽  
Yu Sun ◽  
Xiaoqi Wang ◽  
Li Su ◽  
Xiaoni Wang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Cognitive Decline ◽  
Prediction Models ◽  
Cox Regression ◽  
Amyloid Β ◽  
Cognitively Normal ◽  
Interindividual Differences ◽  
Brain Resilience

Objective: To define resilience metrics for cognitive decline based on plasma and cerebrospinal fluid (CSF) amyloid-β (Aβ) and examine the demographic, genetic, and neuroimaging factors associated with interindividual differences among metrics of resilience and to demonstrate the ability of such metrics to predict the diagnostic conversion to mild cognitive impairment (MCI).Methods: In this study, cognitively normal (CN) participants with Aβ-positive were included from the Sino Longitudinal Study on Cognitive Decline (SILCODE, n = 100) and Alzheimer's Disease Neuroimaging Initiative (ADNI, n = 144). Using a latent variable model of data, metrics of resilience [brain resilience (BR), cognitive resilience (CR), and global resilience (GR)] were defined based on the plasma Aβ and CSF Aβ. Linear regression analyses were applied to investigate the association between characteristics of individuals (age, sex, educational level, genetic, and neuroimaging factors) and their resilience. The plausibility of these metrics was tested using linear mixed-effects models and Cox regression models in longitudinal analyses. We also compared the effectiveness of these metrics with conventional metrics in predicting the clinical progression.Results: Although individuals in the ADNI cohort were older (74.68 [5.65] vs. 65.38 [4.66], p < 0.001) and had higher educational levels (16.3 [2.6] vs. 12.6 [2.8], p < 0.001) than those in the SILCODE cohort, similar loadings between resilience and its indicators were found within both models. BR and GR were mainly associated with age, women, and brain volume in both cohorts. Prediction models showed that higher CR and GR were related to better cognitive performance, and specifically, all types of resilience to CSF Aβ could predict longitudinal cognitive decline.Conclusion: Different phenotypes of resilience depending on cognition and brain volumes were associated with different factors. Such comprehensive resilience provided insight into the mechanisms of susceptibility for Alzheimer's disease (AD) at the individual level, and interindividual differences in resilience had the potential to predict the disease progression in CN people.

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