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      Association of Excessive Daytime Sleepiness With Longitudinal β-Amyloid Accumulation in Elderly Persons Without Dementia

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          Abstract

          <p class="first" id="d7428791e421">This cohort analysis assesses whether excessive daytime sleepiness at baseline is associated with longitudinal regional β-amyloid accumulation in elderly persons without dementia. </p><div class="section"> <a class="named-anchor" id="ab-noi180004-1"> <!-- named anchor --> </a> <h5 class="section-title" id="d7428791e427">Question</h5> <p id="d7428791e429">Is excessive daytime sleepiness associated with longitudinal regional β-amyloid accumulation in elderly persons without dementia? </p> </div><div class="section"> <a class="named-anchor" id="ab-noi180004-2"> <!-- named anchor --> </a> <h5 class="section-title" id="d7428791e432">Findings</h5> <p id="d7428791e434">In this cohort analysis that included 283 elderly participants without dementia, baseline excessive daytime sleepiness was associated with increased longitudinal β-amyloid accumulation in the cingulate gyrus and precuneus regions. </p> </div><div class="section"> <a class="named-anchor" id="ab-noi180004-3"> <!-- named anchor --> </a> <h5 class="section-title" id="d7428791e437">Meaning</h5> <p id="d7428791e439">Elderly individuals with excessive daytime sleepiness may be more vulnerable to β-amyloid accumulation. </p> </div><div class="section"> <a class="named-anchor" id="ab-noi180004-4"> <!-- named anchor --> </a> <h5 class="section-title" id="d7428791e443">Importance</h5> <p id="d7428791e445">Aging is associated with excessive daytime sleepiness (EDS), which has been linked to cognitive decline in the elderly. However, whether EDS is associated with the pathologic processes of Alzheimer disease remains unclear. </p> </div><div class="section"> <a class="named-anchor" id="ab-noi180004-5"> <!-- named anchor --> </a> <h5 class="section-title" id="d7428791e448">Objective</h5> <p id="d7428791e450">To investigate whether EDS at baseline is associated with a longitudinal increase in regional β-amyloid (Aβ) accumulation in a cohort of elderly individuals without dementia. </p> </div><div class="section"> <a class="named-anchor" id="ab-noi180004-6"> <!-- named anchor --> </a> <h5 class="section-title" id="d7428791e453">Design, Setting, and Participants</h5> <p id="d7428791e455">This prospective analysis included participants enrolled in the Mayo Clinic Study of Aging, a longitudinal population-based study in Olmsted County, Minnesota. Of 2900 participants, 2172 (74.9%) agreed to undergo carbon 11–labeled Pittsburgh compound B positron emission tomography (PiB-PET). We included 283 participants 70 years or older without dementia who completed surveys assessing sleepiness at baseline and had at least 2 consecutive PiB-PET scans from January 1, 2009, through July 31, 2016, after excluding 45 (13.7%) who had a comorbid neurologic disorder. </p> </div><div class="section"> <a class="named-anchor" id="ab-noi180004-7"> <!-- named anchor --> </a> <h5 class="section-title" id="d7428791e458">Main Outcomes and Measures</h5> <p id="d7428791e460">Excessive daytime sleepiness was defined as an Epworth Sleepiness Scale score of at least 10. The difference in Aβ levels between the 2 consecutive scans (ΔPiB) in Aβ-susceptible regions (prefrontal, anterior cingulate, posterior cingulate-precuneus, and parietal) was determined. Multiple linear regression models were fit to explore associations between baseline EDS and ΔPiB while adjusting for baseline age, sex, presence of the apolipoprotein E ε4 allele, educational level, baseline PiB uptake, global PiB positivity (standardized uptake value ratio ≥1.4), physical activity, cardiovascular comorbidities (obesity, hypertension, hyperlipidemia, and diabetes), reduced sleep duration, respiratory symptoms during sleep, depression, and interval between scans. </p> </div><div class="section"> <a class="named-anchor" id="ab-noi180004-8"> <!-- named anchor --> </a> <h5 class="section-title" id="d7428791e463">Results</h5> <p id="d7428791e465">Of the initial 283 participants, mean (SD) age was 77.1 (4.8) years; 204 (72.1%) were men and 79 (27.9%) were women. Sixty-three participants (22.3%) had EDS. Baseline EDS was significantly associated with increased regional Aβ accumulation in the anterior cingulate (B coefficient = 0.031; 95% CI, 0.001-0.061; <i>P</i> = .04), posterior cingulate-precuneus (B coefficient = 0.038; 95% CI, 0.006-0.069; <i>P</i> = .02), and parietal (B coefficient = 0.033; 95% CI, 0.001-0.065; <i>P</i> = .04) regions. Association of EDS with longitudinal Aβ accumulation was stronger in participants with baseline global PiB positivity in the anterior cingulate (B coefficient = 0.065; 95% CI, 0.010-0.118; <i>P</i> = .02) and cingulate-precuneus (B coefficient = 0.068; 95% CI, 0.009-0.126; <i>P</i> = .02) regions. </p> </div><div class="section"> <a class="named-anchor" id="ab-noi180004-9"> <!-- named anchor --> </a> <h5 class="section-title" id="d7428791e483">Conclusions and Relevance</h5> <p id="d7428791e485">Baseline EDS was associated with increased longitudinal Aβ accumulation in elderly persons without dementia, suggesting that those with EDS may be more vulnerable to pathologic changes associated with Alzheimer disease. Further work is needed to elucidate whether EDS is a clinical marker of greater sleep instability, synaptic or network overload, or neurodegeneration of wakefulness-promoting centers. Early identification of patients with EDS and treatment of underlying sleep disorders could reduce Aβ accumulation in this vulnerable group. </p> </div>

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          Most cited references51

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          APP processing and synaptic function.

          A large body of evidence has implicated Abeta peptides and other derivatives of the amyloid precursor protein (APP) as central to the pathogenesis of Alzheimer's disease (AD). However, the functional relationship of APP and its proteolytic derivatives to neuronal electrophysiology is not known. Here, we show that neuronal activity modulates the formation and secretion of Abeta peptides in hippocampal slice neurons that overexpress APP. In turn, Abeta selectively depresses excitatory synaptic transmission onto neurons that overexpress APP, as well as nearby neurons that do not. This depression depends on NMDA-R activity and can be reversed by blockade of neuronal activity. Synaptic depression from excessive Abeta could contribute to cognitive decline during early AD. In addition, we propose that activity-dependent modulation of endogenous Abeta production may normally participate in a negative feedback that could keep neuronal hyperactivity in check. Disruption of this feedback system could contribute to disease progression in AD.
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            Ageing and neuronal vulnerability.

            Everyone ages, but only some will develop a neurodegenerative disorder in the process. Disease might occur when cells fail to respond adaptively to age-related increases in oxidative, metabolic and ionic stress, thereby resulting in the accumulation of damaged proteins, DNA and membranes. Determinants of neuronal vulnerability might include cell size and location, metabolism of disease-specific proteins and a repertoire of signal transduction pathways and stress resistance mechanisms. Emerging evidence on protein interaction networks that monitor and respond to the normal ageing process suggests that successful neural ageing is possible for most people, but also cautions that cures for neurodegenerative disorders are unlikely in the near future.
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              History of the Rochester Epidemiology Project: half a century of medical records linkage in a US population.

              The Rochester Epidemiology Project (REP) has maintained a comprehensive medical records linkage system for nearly half a century for almost all persons residing in Olmsted County, Minnesota. Herein, we provide a brief history of the REP before and after 1966, the year in which the REP was officially established. The key protagonists before 1966 were Henry Plummer, Mabel Root, and Joseph Berkson, who developed a medical records linkage system at Mayo Clinic. In 1966, Leonard Kurland established collaborative agreements with other local health care providers (hospitals, physician groups, and clinics [primarily Olmsted Medical Center]) to develop a medical records linkage system that covered the entire population of Olmsted County, and he obtained funding from the National Institutes of Health to support the new system. In 1997, L. Joseph Melton III addressed emerging concerns about the confidentiality of medical record information by introducing a broad patient research authorization as per Minnesota state law. We describe how the key protagonists of the REP have responded to challenges posed by evolving medical knowledge, information technology, and public expectation and policy. In addition, we provide a general description of the system; discuss issues of data quality, reliability, and validity; describe the research team structure; provide information about funding; and compare the REP with other medical information systems. The REP can serve as a model for the development of similar research infrastructures in the United States and worldwide. Copyright © 2012 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                JAMA Neurology
                JAMA Neurol
                American Medical Association (AMA)
                2168-6149
                June 01 2018
                June 01 2018
                : 75
                : 6
                : 672
                Affiliations
                [1 ]Department of Neurology, Mayo Clinic, Rochester, Minnesota
                [2 ]Department of Radiology, Mayo Clinic, Rochester, Minnesota
                [3 ]Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
                [4 ]Department of Psychology, Mayo Clinic, Rochester, Minnesota
                Article
                10.1001/jamaneurol.2018.0049
                5885188
                29532057
                5fe4362a-49ea-4f41-b5aa-d0b2220c29f2
                © 2018
                History

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