Faculty Bibliography

The National Institute of Mental Health strategic plan for advancing psychiatric neuroscience calls for an acceleration of discovery and the delineation of developmental trajectories for risk and resilience across the lifespan. To attain these objectives, sufficiently powered datasets with broad and deep phenotypic characterization, state-of-the-art neuroimaging, and genetic samples must be generated and made openly available to the scientific community. The enhanced Nathan Kline Institute-Rockland Sample (NKI-RS) is a response to this need. NKI-RS is an ongoing, institutionally centered endeavor aimed at creating a large-scale (N > 1000), deeply phenotyped, community-ascertained, lifespan sample (ages 6-85 years old) with advanced neuroimaging and genetics. These data will be publically shared, openly, and prospectively (i.e., on a weekly basis). Herein, we describe the conceptual basis of the NKI-RS, including study design, sampling considerations, and steps to synchronize phenotypic and neuroimaging assessment. Additionally, we describe our process for sharing the data with the scientific community while protecting participant confidentiality, maintaining an adequate database, and certifying data integrity. The pilot phase of the NKI-RS, including challenges in recruiting, characterizing, imaging, and sharing data, is discussed while also explaining how this experience informed the final design of the enhanced NKI-RS. It is our hope that familiarity with the conceptual underpinnings of the enhanced NKI-RS will facilitate harmonization with future data collection efforts aimed at advancing psychiatric neuroscience and nosology.

Background: The regulation of CSF Abeta42 is poorly understood. Recent studies show Abeta42 levels affected by sleep, stress, diet, depression, ApoE genotype, white matter lesions (WML), and Abeta plaques. The purpose of this study was to examine the heterogeneity of Abeta42 as related to ApoE genotype when interacting with known AD risk factors in healthy, cognitively normal subjects. Methods: In cross-section, we examined the Abeta42, T-Tau and P-tau levels as predicted by ApoE4 status in its interaction with depressive symptoms (HAM-D), MRI white-matter hyperintensity volume (WMH V), and memory (Wechsler Logical-Memory). We studied 41 ApoE4+ and 71 ApoE4- subjects (mean age 62.0 6 11.9). All participants were non-depressed (HAM-D-10), cognitively normal (CDR = 0) and free of MRI brain pathology. Results: ApoE4+ subjects compared to the ApoE4- had lower levels of Abeta42 (442 6 27 vs. 603 6 22 ng/L; P <0.01), higher levels of T-Tau (289617 vs. 229613 ng/L; P <0.01), higher p-Tau (2861.6 vs. 17 6 21.9ng/L; P <0.01) and higher WMHv (3.77 6 0.41 vs. 2.67 6 0.32 cm 3, P<0.05). Predicting CSF Abeta42 levels, controlling for age, we observed three significant 2-way interactions: ApoE genotype X mood, ApoE genotype X memory, ApoE genotype X WMH V (F-values range = 4.03-12.35, P<0.05). No interactions were seen for T-tau or P-Tau. Among ApoE4-, mood symptoms, and to a lesser extent worse memory, had a negative correlation with Abeta42 (r = .-44, n = 71, P <0.01 and r = -.22, n = 71, P = 0.07). Among ApoE4+ there was a negative correlation between Abeta42 and WMH V (r = -0.45, n = 26, P<0.05). Conclusions: This is the first study to report the effect of multiple risk factor interactions on CSFAbeta42 levels in cognitively normal subjects with different ApoE4 alleles. Our results indicate that the relationship between risk factors and CSF Abeta42 is dependent on the presence/absence of ApoE4. E4 carriers show reduced CSF Abeta42, and lower Abeta42 was associated with more MRI-WML whereas a more typical clinical AD-type phenotype (poor memory, minor depressive symptoms), was associated with decreased CSF Abeta42 levels in the ApoE4-non-carriers. These data suggest that Apoe4 carriers and noncarriers may offer divergent trajectories of brain and symptom changes. A better knowledge of the presymptomatic early stages of AD and the interactions with the ApoE4 allele may help us understand the variability of our CSF biomarker measures

Background: Reductions in brain-derived neurotrophic factor (BDNF) have been implicated in the pathophysiology of depression. Nevertheless, the factors influencing central and peripheral BDNF levels are still poorly understood. Cerebral microvascular endothelial cells are known to be a major source of BDNF within the brain. Exposure of these cells to amyloid beta (Abeta), which may play a role in the pathophysiology of late-life depression, results in cell death or injury with significant reductions in BDNF secretion. Moreover, in rodents, infusion of Abeta40 into the carotid artery resulted in a disruption of endothelial cells, which was not observed with Abeta42 infusion. Therefore, we hypothesized that concentrations of plasma Abeta40, but not Abeta42, would have a negative effect on plasma BDNF levels. Methods: We examined BDNF and Abeta levels in plasma via immunoblotting and ELISA assays, respectively, from 88 subjects with intact cognition (no dementia and a Mini-Mental State Exam score of at least 28) and no gross MRI abnormalities other than white matter hyperintensities. As these subjects were originally recruited for a study on major depressive disorder (MDD), 45 had MDD and 43 were age-matched controls. Results: Consistent with our prediction, Abeta40 levels were inversely correlated with BDNF concentrations (p<.001), whereas Abeta42 levels were independent of BDNF expression (p=.231). This pattern was similar when MDD and control subjects were analyzed separately. Discussion: Our results are consistent with the hypothesis that cerebral endothelial cells are a contributing source of peripheral BDNF and that their disruption by circulating Abeta40 results in reduction in BDNF. However, these preliminary findings need confirmation, and the mechanisms for our observation, including Abeta40-induced cerebral endothelial cell dysfunction, will have to be clarified

A variable poly-T polymorphism in the TOMM40 gene, which is in linkage disequilibrium with APOE, was recently implicated with increased risk and earlier onset age for late-onset Alzheimer's disease in APOE epsilon3 carriers. To elucidate potential neurobiological mechanisms underlying this association, we compared the effect of TOMM40 poly-T variants to the effect of APOE, an established LOAD-risk modulator, on cerebrospinal fluid (CSF) amyloid beta (Abeta) and tau levels, in cognitively intact elderly subjects. APOE epsilon4 carriers showed significant reductions in Abeta 1-42 levels compared to non-epsilon4 carriers, but no differences were detected across TOMM40 variants. Neither Abeta 1-40 nor tau levels were affected by APOE or TOMM40

Introduction: An important goal of ongoing Alzheimer's disease (AD) research is to identify markers that allow one to predict risk for the development of this type of dementia in cognitively intact elderly. Known cognitive changes associated with AD, possibly reflecting hippocampal pathology, include a worse recall of primacy items and better immediate recall of items learned at the end of a list compared to the middle (recency effect). Aims: The aim of our study was to examine whether learning and recall of primacy and recency words predicted future decline in intact elderly subjects. Methods: Individuals with MMSE of 28 or over at baseline were included in the study. Of these, 211 had at least two successive cognitive evaluations; mean age at baseline was 69.5 (SD=8.0). We regressed MMSE decline on baseline Auditory-Verbal Learning Test (AVLT) memory measures, focusing especially on learning and recall of primacy and recency words, and controlling for baseline age, time since baseline and other variables. Results: Worse learning/delayed recall of primacy words on AVLT trials consistently predicted greater subsequent cognitive decline. Additionally, this effect was stronger among older subjects than among younger ones. APOE e4, a well established genetic risk factor for late-onset AD, was not a significant predictor of MMSE decline in this sample. Conclusions: Decreased learning and poorer recall of primacy words in the AVLT is a predictor of decline in healthy elderly individuals, and future studies should examine if decreased learning and recall can predict conversion to AD