scholarly journals p-tau/Aβ42 Ratio Associates with Cognitive Decline in Alzheimer’s disease, Mild Cognitive Impairment, and Cognitively Unimpaired Older Adults

Author(s):  
Ruchika Shaurya Prakash ◽  
Michael R. McKenna ◽  
Oyetunde Gbadeyan ◽  
Rebecca Andridge ◽  
Douglas W. Scharre ◽  
...  

AbstractINTRODUCTIONThe most well-studied biomarkers in AD are CSF amyloid beta-42 (Aβ42), tau, p-tau, and the ratio p-tau/Aβ42. The ratiometric measure of p-tau/Aβ42 shows the best diagnostic accuracy, and correlates reliably with metrics of cognition in unimpaired participants. However, no study has examined the impact of the CSF p-tau/Aβ42 ratio in predicting cognitive decline in both healthy and AD individuals in one sample. The goal of this study was to examine whether CSF-based p-tau/Aβ42 predicts changes in global cognitive functioning, episodic memory, and executive functioning over a two-year period in cognitively impaired older adults (CU), and in individuals with Mild Cognitive Impairment (MCI) and Alzheimer’s disease (AD).METHODSThis study involves secondary analysis of data from 1215 older adults available in the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Neuropsychological variables, collected at baseline, 6-month, 12-month, and 24-month follow-ups, included the Preclinical Alzheimer’s Cognitive Composite (PACC) to assess global cognitive functioning, ADNI-MEM to assess episodic memory functioning, and ADNI-EF to assess executive functioning. Linear mixed models were constructed to examine the effect of CSF p-tau/Aβ42, diagnostic group, and change over time (baseline, 6-month, 12-month, and 24-month) on cognitive scores.RESULTSCSF p-tau/Aβ42 ratios predicted worsening cognitive impairment, both on global cognition and episodic memory in individuals with MCI and AD, but not in CU older adults and predicted decline in executive functioning for all three diagnostic groups.DISCUSSIONOur study, including CU, MCI, and AD individuals, provides evidence for differential cognitive consequences of accumulated AD pathology based on diagnostic groups.

2019 ◽  
Vol 75 (7) ◽  
pp. 1382-1392 ◽  
Author(s):  
Marie Caillaud ◽  
Carol Hudon ◽  
Benjamin Boller ◽  
Simona Brambati ◽  
Simon Duchesne ◽  
...  

Abstract Objective The concepts of mild cognitive impairment (MCI) and subjective cognitive decline (SCD) have been proposed to identify individuals in the early stages of Alzheimer’s disease (AD), or other neurodegenerative diseases. One approach to validate these concepts is to investigate the relationship between pathological brain markers and cognition in those individuals. Method We included 126 participants from the Consortium for the Early Identification of Alzheimer’s disease-Quebec (CIMA-Q) cohort (67 SCD, 29 MCI, and 30 cognitively healthy controls [CH]). All participants underwent a complete cognitive assessment and structural magnetic resonance imaging. Group comparisons were done using cognitive data, and then correlated with hippocampal volumes and white matter hyperintensities (WMHs). Results Significant differences were found between participants with MCI and CH on episodic and executive tasks, but no differences were found when comparing SCD and CH. Scores on episodic memory tests correlated with hippocampal volumes in both MCI and SCD, whereas performance on executive tests correlated with WMH in all of our groups. Discussion As expected, the SCD group was shown to be cognitively healthy on tasks where MCI participants showed impairment. However, SCD’s hippocampal volume related to episodic memory performances, and WMH to executive functions. Thus, SCD represents a valid research concept and should be used, alongside MCI, to better understand the preclinical/prodromal phase of AD.


Author(s):  
Jessica Stark ◽  
Daniela J. Palombo ◽  
Jasmeet P. Hayes ◽  
Kelly J. Hiersche ◽  
Alexander N. Hasselbach ◽  
...  

ABSTRACT Objectives: To identify novel associations between modifiable physical and health variables, Alzheimer’s disease (AD) biomarkers, and cognitive function in a cohort of older adults with Mild Cognitive Impairment (MCI). Methods: Metrics of cardiometabolic risk, stress, inflammation, neurotrophic/growth factors, AD, and cognition were assessed in 154 MCI participants (Mean age = 74.1 years) from the Alzheimer’s Disease Neuroimaging Initiative. Partial Least Squares analysis was employed to examine associations among these physiological variables and cognition. Results: Latent variable 1 revealed a unique combination of AD biomarkers, neurotrophic/growth factors, education, and stress that were significantly associated with specific domains of cognitive function, including episodic memory, executive function, processing speed, and language, representing 45.2% of the cross-block covariance in the data. Age, body mass index, and metrics tapping basic attention or premorbid IQ were not significant. Conclusions: Our data-driven analysis highlights the significant relationships between metrics associated with AD pathology, neuroprotection, and neuroplasticity, primarily with tasks tapping episodic memory, executive function, processing speed, and verbal fluency rather than more basic tasks that do not require mental manipulation (basic attention and vocabulary). These data also indicate that biological metrics are more strongly associated with episodic memory, executive function, and processing speed than chronological age in older adults with MCI.


Author(s):  
Y.Y. Lim ◽  
J. Kong ◽  
P. Maruff ◽  
J. Jaeger ◽  
E. Huang ◽  
...  

Sensitive cognitive assessments accurately detect and track cognitive decline in Alzheimer’s disease. The Cogstate battery was used to measure cognitive change in cognitively normal participants and in individuals with mild cognitive impairment and mild Alzheimer’s disease enrolled in the Australian Imaging, Biomarker and Lifestyle Rate of Change Substudy. Over 18 months, verbal episodic memory performance declined for mild cognitive impairment and mild Alzeheimer’s disease groups when compared to cognitively normal participants. Frequent assessments of episodic memory may facilitate early detection of cognitive decline due to Alzheimer’s disease.


2020 ◽  
Vol 30 (Supplement_2) ◽  
Author(s):  
C Marques-Costa ◽  
M S Pinho ◽  
M R Simões ◽  
G Prieto

Abstract Introduction There has been a significant increase in average life expectancy. This increase brought more focus on aging with more health, autonomy and independence. Among current public health concerns, the detection of cognitive decline in older individuals stands out, namely in Alzheimer’s disease (AD) and Mild Cognitive Impairment (MCI). Accurate, brief, practical and automated measures are needed to assess cognitive function throughout the life-span. Since 2015, there is the NIH Toolbox Cognition Battery (NIHTB-CB) app that meets these requirements and assesses the neurocognitive subdomains of attention, episodic memory, executive function, language, processing speed, and working memory. The European Portuguese app, developed by our team, will be validated for the Portuguese older adults. Objectives The aim is presenting a literature review of the use of NIHTB-CB in healthy aging and cognitive decline in MCI and AD. Methodology Advanced search in the databases of Web of Science and Google Scholar for studies published between 2016-2019, including articles and meeting abstracts with the words: NIH Toolbox Cognition Battery, AD, MCI, Elder or Senior or Older. Results According to the studies reviewed, NIHTB-CB may be useful in memory clinics (e.g.Hackett et al, 2018; Mayeda et al. 2018); clinical trials (e.g.Buckley et al., 2017; Parsey, Bagger & Hanson, 2019); and healthy aging (e.g.Scott, Sorell, & Benitez, 2019). Preliminary results of the ARMADA study (Weintraub et al, 2019) with people with more than 85 years old became available showing that generally, NIHTB-CB is well accepted, also in MCI patients. No difficulties were found in the use of the iPad with older adults. Conclusion NIHTB-CB measures provide a valid assessment of neurocognitive domains that are important in healthy aging, MCI and AD. As the studies are still scarce, more research is needed.


2010 ◽  
Vol 6 ◽  
pp. S474-S475
Author(s):  
Bryan D. James ◽  
Patricia A. Boyle ◽  
Aron S. Buchman ◽  
Lisa L. Barnes ◽  
David A. Bennett

2017 ◽  
Vol 13 (7S_Part_9) ◽  
pp. P478-P479
Author(s):  
Daniel Alejandro Lopez Ramos ◽  
Gilberto Isaac Acosta-Castillo ◽  
Juan Francisco Flores-Vazquez ◽  
Yaneth Rodriguez Agudelo ◽  
Ana Luisa Sosa-Ortiz

2018 ◽  
Vol 15 (3) ◽  
pp. 219-228 ◽  
Author(s):  
Jiri Cerman ◽  
Ross Andel ◽  
Jan Laczo ◽  
Martin Vyhnalek ◽  
Zuzana Nedelska ◽  
...  

Background: Great effort has been put into developing simple and feasible tools capable to detect Alzheimer's disease (AD) in its early clinical stage. Spatial navigation impairment occurs very early in AD and is detectable even in the stage of mild cognitive impairment (MCI). Objective: The aim was to describe the frequency of self-reported spatial navigation complaints in patients with subjective cognitive decline (SCD), amnestic and non-amnestic MCI (aMCI, naMCI) and AD dementia and to assess whether a simple questionnaire based on these complaints may be used to detect early AD. Method: In total 184 subjects: patients with aMCI (n=61), naMCI (n=27), SCD (n=63), dementia due to AD (n=20) and normal controls (n=13) were recruited. The subjects underwent neuropsychological examination and were administered a questionnaire addressing spatial navigation complaints. Responses to the 15 items questionnaire were scaled into four categories (no, minor, moderate and major complaints). Results: 55% of patients with aMCI, 64% with naMCI, 68% with SCD and 72% with AD complained about their spatial navigation. 38-61% of these complaints were moderate or major. Only 33% normal controls expressed complaints and none was ranked as moderate or major. The SCD, aMCI and AD dementia patients were more likely to express complaints than normal controls (p's<0.050) after adjusting for age, education, sex, depressive symptoms (OR for SCD=4.00, aMCI=3.90, AD dementia=7.02) or anxiety (OR for SCD=3.59, aMCI=3.64, AD dementia=6.41). Conclusion: Spatial navigation complaints are a frequent symptom not only in AD, but also in SCD and aMCI and can potentially be detected by a simple and inexpensive questionnaire.


2021 ◽  
Author(s):  
Noel Valencia ◽  
Johann Lehrner

Summary Background Visuo-Constructive functions have considerable potential for the early diagnosis and monitoring of disease progression in Alzheimer’s disease. Objectives Using the Vienna Visuo-Constructional Test 3.0 (VVT 3.0), we measured visuo-constructive functions in subjective cognitive decline (SCD), mild cognitive impairment (MCI), Alzheimer’s disease (AD), and healthy controls to determine whether VVT performance can be used to distinguish these groups. Materials and methods Data of 671 participants was analyzed comparing scores across diagnostic groups and exploring associations with relevant clinical variables. Predictive validity was assessed using Receiver Operator Characteristic curves and multinomial logistic regression analysis. Results We found significant differences between AD and the other groups. Identification of cases suffering from visuo-constructive impairment was possible using VVT scores, but these did not permit classification into diagnostic subgroups. Conclusions In summary, VVT scores are useful indicators for visuo-constructive impairment but face challenges when attempting to discriminate between several diagnostic groups.


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