Dataset Information

The Association of Multimorbidity With Preclinical AD Stages and SNAP in Cognitively Unimpaired Persons.

ABSTRACT:

Background

Multimorbidity (defined as ≥2 chronic conditions) has been associated with increased risk of mild cognitive impairment and cross-sectionally with imaging biomarkers of neurodegeneration in cognitively unimpaired persons aged ≥70 years. Its association with preclinical Alzheimer's disease stages has not been studied in detail yet. The objective of the study was to assess the cross-sectional association of multimorbidity with preclinical Alzheimer's disease stages and suspected non-amyloid pathophysiology in cognitively unimpaired participants of the Mayo Clinic Study of Aging (≥50 years of age).

Methods

The study included 1,535 cognitively unimpaired participants with multimorbidity, 11C-PiB positron emission topography and magnetic resonance imaging data available. Abnormal (elevated) 11C-PiB-positron emission topography retention ratio (A+; standardized uptake value ratio >1.42) and abnormal (reduced) Alzheimer's disease signature cortical thickness (N+; <2.67 mm) were used to define biomarker combinations (A-N-, A+N-, A-N+, A+N+). Chronic medical conditions were ascertained by using the Rochester Epidemiology Project medical records linkage system and International Classification of Diseases criteria. Cross-sectional associations were examined using multinomial logistic regression models adjusting for age, sex, education, and apolipoprotein E ɛ4 allele status.

Results

Frequency of A+, N+, A+N+, and A-N+ biomarker groups increased significantly with increasing number of chronic conditions. Multimorbidity was significantly associated with A+N+ (vs A-N-; odds ratio, 1.76, 95% confidence interval 1.02, 2.90) and A-N+ (vs A-N-; odds ratio, 2.16, 95% confidence interval 1.47, 3.18). There was a dose-response relationship between increasing number of chronic conditions (eg, 0-1, 2-3, and 4+) and the odds of A+N+ and A-N+ (vs A-N-).

Conclusions

Multimorbidity was associated with biomarker combinations that included neurodegeneration with or without elevated amyloid deposition (ie, A-N+, A+N+). The associations should be validated in longitudinal studies.

SUBMITTER: Vassilaki M

PROVIDER: S-EPMC6521911 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Publications

The Association of Multimorbidity With Preclinical AD Stages and SNAP in Cognitively Unimpaired Persons.

Vassilaki Maria M Aakre Jeremiah A JA Kremers Walter K WK Mielke Michelle M MM Geda Yonas E YE Alhurani Rabe E RE Dutt Taru T Machulda Mary M MM Knopman David S DS Vemuri Prashanthi P Coloma Preciosa M PM Schauble Barbara B Lowe Val J VJ Jack Clifford R CR Petersen Ronald C RC Roberts Rosebud O RO

The journals of gerontology. Series A, Biological sciences and medical sciences 20190501 6

<h4>Background</h4>Multimorbidity (defined as ≥2 chronic conditions) has been associated with increased risk of mild cognitive impairment and cross-sectionally with imaging biomarkers of neurodegeneration in cognitively unimpaired persons aged ≥70 years. Its association with preclinical Alzheimer's disease stages has not been studied in detail yet. The objective of the study was to assess the cross-sectional association of multimorbidity with preclinical Alzheimer's disease stages and suspected ...[more]

PMID: 30124772

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Project description:Sleep abnormalities are prevalent in Alzheimer's disease, with sleep quality already impaired at its preclinical stage. Epidemiological and experimental data point to sleep abnormalities contributing to the risk of Alzheimer's disease. However, previous studies are limited by either a lack of Alzheimer's disease biomarkers, reduced sample size or cross-sectional design. Understanding if, when, and how poor sleep contributes to Alzheimer's disease progression is important so that therapies can be targeted to the right phase of the disease. Using the largest cohort to date, the European Prevention of Alzheimer's Dementia Longitudinal Cohort Study, we test the hypotheses that poor sleep is associated with core Alzheimer's disease CSF biomarkers cross-sectionally and predicts future increments of Alzheimer's disease pathology in people without identifiable symptoms of Alzheimer's disease at baseline. This study included 1168 adults aged over 50 years with CSF core Alzheimer's disease biomarkers (total tau, phosphorylated tau and amyloid-beta), cognitive performance, and sleep quality (Pittsburgh sleep quality index questionnaire) data. We used multivariate linear regressions to analyse associations between core Alzheimer's disease biomarkers and the following Pittsburgh sleep quality index measures: total score of sleep quality, binarized score (poor sleep categorized as Pittsburgh sleep quality index > 5), sleep latency, duration, efficiency and disturbance. On a subsample of 332 participants with CSF taken at baseline and after an average period of 1.5 years, we assessed the effect of baseline sleep quality on change in Alzheimer's disease biomarkers over time. Cross-sectional analyses revealed that poor sleep quality (Pittsburgh sleep quality index total > 5) was significantly associated with higher CSF t-tau; shorter sleep duration (<7 h) was associated with higher CSF p-tau and t-tau; and a higher degree of sleep disturbance (1-9 versus 0 and >9 versus 0) was associated with lower CSF amyloid-beta. Longitudinal analyses showed that greater sleep disturbances (1-9 versus 0 and >9 versus 0) were associated with a decrease in CSF Aβ42 over time. This study demonstrates that self-reported poor sleep quality is associated with greater Alzheimer's disease-related pathology in cognitively unimpaired individuals, with longitudinal results further strengthening the hypothesis that disrupted sleep may represent a risk factor for Alzheimer's disease. This highlights the need for future work to test the efficacy of preventive practices, designed to improve sleep at pre-symptomatic stages of disease, on reducing Alzheimer's disease pathology.

Project description:BackgroundThe advent of Alzheimer's disease-modifying drugs requires accurate biological diagnosis to identify candidates for these therapies. So far, the most promising single plasma biomarker is phosphorylated tau at threonine 217 (p-tau217). To understand its biological features, it is essential to know its longitudinal trajectory and factors influencing it in cognitively unimpaired subjects with no brain pathology.MethodsWe analyzed longitudinal plasma p-tau217 values (mean follow-up time = 768.3 days) in a cohort of 209 healthy volunteers. We have studied factors associated with plasma p-tau217 changes by using different linear mixed-effects models.ResultsIn amyloid-negative cognitively healthy subjects (n = 151) carriers of ApoE ε4 allele had significantly higher p-tau217 values than non-carriers (0.85 pg/mL; p-value < 0.001) and also a greater rate of change (0.01 pg/mL/year; p-value < 0.001). In the overall sample, including subjects with amyloid and tau pathology we have seen that amyloid positive subjects had higher predicted baseline plasma p-tau217 values than amyloid negative subjects (0.16 pg/mL; p-value < 0.001) and a greater rate of change (0.00004 pg/mL/day; p-value < 0.001). Subjects considered tau positive also showed a greater rate of change of p-tau217 with respect to tau negative (0.00005 pg/mL/day; p-value < 0.001). A + T + N + participants showed a higher baseline p-tau217 levels than A-T-N- subjects (0.2 pg/mL; p-value < 0.001) and also a greater rate of change (0.00006 pg/mL/day; p-value = 0.002). ApoE ε4 carriers had a greater rate of change than non-carriers (0.00003 pg/mL/day; p-value = 0.03).ConclusionIn amyloid-negative cognitively unimpaired subjects, ApoE4 status influenced both baseline levels and rate of change of plasma p-tau217. Other factors such as age, sex or glomerular filtration rate have not shown significant influence on plasma p-tau217 levels in this group.

Dataset Information

The Association of Multimorbidity With Preclinical AD Stages and SNAP in Cognitively Unimpaired Persons.

Background

Methods

Results

Conclusions

Publications

The Association of Multimorbidity With Preclinical AD Stages and SNAP in Cognitively Unimpaired Persons.

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