Faculty Bibliography

Background: Numerous studies have linked depressive symptoms, or syndromal depression, to increased risk for Alzheimer's disease (AD) irrespective of its onset age. The neurobiological basis for this association, however, remains poorly understood. Studies which have examined biomarkers of AD in peripheral and central tissues in depression, including CSF Abeta42 (Abeta42) and brain amyloid using PET ligands, have provided conflicting results. These discrepant results may have been due to methodological differences across studies, including heterogeneity in study populations (e.g., inclusion of individuals with mild cognitive impairment) and the use of approaches for detecting depression (e.g., patients' self-ratings) that lack diagnostic specificity. In addition, only a few studies have employed structured interviews based on DSM diagnostic criteria or standardized pre-analytical and laboratory procedures for quantifying Abeta. Finally, all of the existing studies have been limited to cross sectional comparisons based on a single Abeta determination; thus, it is not known if these abnormalities persist over time and if depressive symptoms influence Abeta levels. The current study was conducted to address the aforementioned limitations. Methods: Our baseline sample consisted of 47 subjects aged 60 years and older; 28 with LMDD and 19 controls. Of the 47 older subjects, 31 were e4 non-carriers and 16 were e4 carriers. All subjects were cognitively-intact and had a) no evidence of dementia, b) a Mini-Mental State Exam score of at least 28, and c) no gross MRI abnormalities other than white matter hyperintensities. CSF collection was repeated after 3 years for 36 of these individuals: 19 with LLMD and 17 controls. We evaluated the effects of diagnosis and time on Abeta42 levels with 2 x 2 repeated measures ANOVA. Results: Longitudinal comparisons of controls and LLMD revealed that the LLMD group was significantly less depressed at follow up than at baseline, as determined by the HAM-D, whereas controls remained unchanged. There was a significant interaction between diagnosis and time on CSF Abeta42 levels. Importantly, the reductions in depressive symptoms observed over time were significantly correlated with increases in CSF Abeta42 levels, both in the entire cohort (r =-.451, p =.006) and within the LLMD group (r =-.547, p =.015), but not in the control group (p =.809). The same relationship was not significant with Abeta40 (Pomara et al., 2016). Performance on cognitive indices remained unchanged and was not significantly correlated with changes in AD Biomarkers. Conclusions: Cognitively-intact, elderly individuals with LLMD, who were more depressed at baseline, but less depressed at the 3 year follow-up, showed both a reduction in baseline CSF Abeta42 (Pomara et al., 2012) and elevation in Abeta42 at 3 year follow-up. In addition, changes in CSF Abeta42 were correlated with changes in depressive symptoms. Future studies should determine if these state-dependent changes in Abeta42 mediate the increased risk of AD contributed by LLMD. If this is the case, the need for more aggressive treatment of LLMD cannot be underestimated

STUDY OBJECTIVES: Emerging evidence suggests a role for sleep in contributing to the progression of Alzheimer disease (AD). Slow wave sleep (SWS) is the stage during which synaptic activity is minimal and clearance of neuronal metabolites is high, making it an ideal state to regulate levels of amyloid beta (Abeta). We thus aimed to examine relationships between concentrations of Abeta42 in the cerebrospinal fluid (CSF) and measures of SWS in cognitively normal elderly subjects. METHODS: Thirty-six subjects underwent a clinical and cognitive assessment, a structural MRI, a morning to early afternoon lumbar puncture, and nocturnal polysomnography. Correlations and linear regression analyses were used to assess for associations between CSF Abeta42 levels and measures of SWS controlling for potential confounders. Resulting models were compared to each other using ordinary least squared linear regression analysis. Additionally, the participant sample was dichotomized into "high" and "low" Abeta42 groups to compare SWS bout length using survival analyses. RESULTS: A significant inverse correlation was found between CSF Abeta42 levels, SWS duration and other SWS characteristics. Collectively, total SWA in the frontal lead was the best predictor of reduced CSF Abeta42 levels when controlling for age and ApoE status. Total sleep time, time spent in NREM1, NREM2, or REM sleep were not correlated with CSF Abeta42. CONCLUSIONS: In cognitively normal elderly, reduced and fragmented SWS is associated with increases in CSF Abeta42, suggesting that disturbed sleep might drive an increase in soluble brain Abeta levels prior to amyloid deposition.

Depression has been linked to Alzheimer's disease as either an increased risk factor for its development or as a prodromal symptom. The neurobiological basis for such an association, however, remains poorly understood. Numerous studies have examined whether changes in amyloid beta (Abeta) metabolism, which are implicated in the pathogenesis of Alzheimer's disease, are also found in depression. In this paper, we investigated the relationship between depressive symptoms and cerebrospinal fluid (CSF) Abeta indices in otherwise healthy, cognitively normal elderly with late-life major depression (LLMD) and controls using a longitudinal approach, which is a novel contribution toward the literature. Significantly lower levels of CSF Abeta42 were observed in the LLMD group at baseline and were associated with more severe depressive symptoms. During longitudinal follow-up, the depressed group remained cognitively unchanged, but was significantly less depressed than at baseline. A greater improvement in depressive symptoms was associated with increases in CSF Abeta42 levels in both groups. Increases in CSF Abeta42 and Abeta40 were also associated with increased CSF total-tau levels. Our results suggest that LLMD may be associated with state-dependent effects of CSF Abeta42 levels. Future studies should determine whether the association reflects state-dependent changes in neuronal activity and/or brain amyloid burden in depression.

STUDY OBJECTIVES: To evaluate the role of orexin-A with respect to cerebrospinal fluid (CSF) Alzheimer disease (AD) biomarkers, and explore its relationship to cognition and sleep characteristics in a group of cognitively normal elderly individuals. METHODS: Subjects were recruited from multiple community sources for National Institutes of Health supported studies or normal aging, sleep and CSF biomarkers. Sixty-three participants underwent home monitoring for sleep-disordered breathing, clinical, sleep and cognitive evaluations, as well as a lumbar puncture to obtain CSF. Individuals with medical history or with magnetic resonance imaging evidence of disorders that may affect brain structure or function were excluded. Correlation and linear regression analyses were used to assess the relationship between orexin-A and CSF AD-biomarkers controlling for potential sociodemographic and sleep confounders. RESULTS: Levels of orexin-A, amyloid beta 42 (Abeta42), phosphorylated-tau (P-Tau), total-tau (T-Tau), Apolipoprotein E4 status, age, years of education, reported total sleep time, number of awakenings, apnea-hypopnea indices (AHI), excessive daytime sleepiness, and a cognitive battery were analyzed. Subjects were 69.59 +/- 8.55 years of age, 57.1% were female, and 30.2% were apolipoprotein E4+. Orexin-A was positively correlated with Abeta42, P-Tau, and T-Tau. The associations between orexin-A and the AD-biomarkers were driven mainly by the relationship between orexin-A and P-Tau and were not influenced by other clinical or sleep characteristics that were available. CONCLUSIONS: Orexin-A is associated with increased P-Tau in normal elderly individuals. Increases in orexin-A and P-Tau might be a consequence of the reduction in the proportion of the deeper, more restorative slow wave sleep and rapid eye movement sleep reported with aging. TRIAL REGISTRATION: Clinicaltrials.gov registration number NCT01962779.

The consolidation of spatial navigational memory during sleep is supported by electrophysiological and behavioral evidence. The features of sleep that mediate this ability may change with aging, as percentage of slow-wave sleep is canonically thought to decrease with age, and slow waves are thought to help orchestrate hippocampal-neocortical dialog that supports systems level consolidation. In this study, groups of younger and older subjects performed timed trials before and after polysomnographically recorded sleep on a 3D spatial maze navigational task. Although younger subjects performed better than older subjects at baseline, both groups showed similar improvement across presleep trials. However, younger subjects experienced significant improvement in maze performance during sleep that was not observed in older subjects, without differences in morning psychomotor vigilance between groups. Older subjects had sleep quality marked by decreased amount of slow-wave sleep and increased fragmentation of slow-wave sleep, resulting in decreased slow-wave activity. Across all subjects, frontal slow-wave activity was positively correlated with both overnight change in maze performance and medial prefrontal cortical volume, illuminating a potential neuroanatomical substrate for slow-wave activity changes with aging and underscoring the importance of slow-wave activity in sleep-dependent spatial navigational memory consolidation.

Cerebrospinal fluid (CSF) measures of phosphorylated-tau (P-tau) 231 and P-tau181 are two biomarkers for the identification of tau pathology as related to Alzheimer's disease (AD). While both are pathologically validated, their relative diagnostic performances are not well known. This cross-sectional diagnostic study of 87 normal (NL) subjects and 28 AD subjects compared CSF P-tau231 with CSF P-tau181. Logistic regression modeling demonstrated that the P-tau231 was superior to the P-tau181 in the diagnostic classifications. At a fixed 85% sensitivity cutoff, the ROC analysis shows that P-tau231 has greater overall specificity than P-tau181. While both P-tau analytes demonstrated equivalent negative predictive accuracies, P-tau231 yielded significantly fewer false positives. Moreover, P-tau231, but not P-tau181, demonstrated sensitivity to the E4 genotype. A postmortem validation with 9 AD subjects confirmed the superiority of the CSF P-tau231 specificity. This study suggests that P-tau231 has the potential to improve the CSF tau biomarker diagnosis of AD.

INTRODUCTION: Hypertension, hypercholesterolemia, and obesity increase the risk of dementia. Although their detection is commonly followed by an introduction of treatment, little is known about how medications frequently used to treat vascular risk affect amyloid deposition. METHODS: A cross-sectional study of 156 subjects who underwent positron emission tomography with PiB. Using linear regression, we tested whether blood pressure, cholesterol, overweight/obese status, angiotensin receptor blockers (ARBs), beta-blockers, diuretics, angiotensin converting enzyme inhibitors, and statins predicted amyloid deposition. RESULTS: The use of ARBs (beta = -.15, P = .044) and diuretics (beta = -.20, P = .006) predicted less amyloid accumulation; older age (beta = .29, P < .001) and statins (beta = .23, P = .004) were related to greater amyloid deposition. Overweight and/or obese women had more cortical amyloid than their peers. DISCUSSION: Prospective studies should confirm effects of drugs and increased body weight on amyloid accumulation and establish whether they translate into measurable clinical outcomes. Women may be more susceptible to harmful effects of obesity.