Poster Presentations: Tuesday, July 26, 2016 P3-142
NOVEL, PROBABLY PATHOGENIC CLU MUTATION (TRP15ARG) IN A KOREAN NORMAL PRESSURE HYDROCEPHALUS DISEASE (NPH) PATIENT
Vo Van Giau1, SangYun Kim2,3, Seong Soo An1, 1Gachon University, Seongnam, South Korea; 2Seoul National University Bundang Hospital, Seongnam, South Korea; 3Clinical Neuroscience Center, Seoul National University Bundang Hospital, Seongnam, The Republic of Korea. Contact e-mail:
[email protected] Background: Normal pressure hydrocephalus (NPH) is an abnormal
buildup of cerebrospinal fluid (CSF) in the brain’s ventricles, or cavities. NPH can occur in people of any age, but it is most common in the elderly. Clinically, this is a type of dementia, related to Alzheimer’s disease (AD). An understanding of the genetic components and its disorder may offer us significant insights into the molecular etiology of an accumulation of the CSF in cerebral compartments during the pathogenesis of NPH. Cluterin gene (CLU) might be involved in pathways regulating Ab clearance from the brain, and mutations within cluterin gene (CLU) is suspected to be a contributor to the build-up of CSF in brain tissue. Methods: The mutation was detected in exon 1 of an 81 year-old male with recurrent NPH patient, who disclosed a dementia of the Alzheimer type. Combining sequence analysis, in silico analysis and protein structural modeling, which provides more evidence to show the genetic heterogeneity associated with NPH and paves the way for discovering new disease genes for NPH. Results: We report the characterization of a novel mutation in the CLU, created by amino acid position W15R. Additionally, dataset sequence of 60,706 unrelated individuals were screened, which could be used in the various disease-specific and population genetic studies. Conclusions: Further studies involving the genetic is necessary to elucidate their role in the pathogenesis of NPH.
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CLINICAL AND NEUROIMAGING DIFFERENCES BETWEEN POSTERIOR CORTICAL ATROPHY AND TYPICAL AMNESTIC ALZHEIMER’S DISEASE PATIENTS AT EARLY DISEASE STAGES
Guoping Peng, Zhan Feng, Ping Liu, Yafei Zhang, Fangping He, Benyan Luo, First Affiliated Hospital, Zhejiang University, Hangzhou, China. Contact e-mail:
[email protected] Background: The clinical and neuroimaging characteristics between Posterior cortical atrophy (PCA) and typical amnestic AD (tAD) patients were unclear at early disease stages. Methods: Clinical
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symptoms and neuropsychological assessment scores were processed in enrolled 13 tAD and 16 PCA patients. The levels of Ab42, t-tau and p-tau in both cerebrospinal fluid and serum, the volumes of bilateral hippocampi and cortical gray matter (GM), and the hypometabolism regions were analyzed. Results: There were no significant differences in biomarkers concentrations. PCA patients showed high mean scores in the recognition and recall tests, while the mean scores in the calculation, spatial attention, shape discrimination, and writing tests were lower in PCA. The volumes of right hippocampus in PCA were larger than that in tAD, and the cortical GM volumes of bilateral parietal and occipital lobes were smaller in PCA. Hypometabolism in the bilateral parietal and occipital lobes, especially the right occipitotemporal junction, was seen in PCA. There was a significant correlation in recognition scores and recall scores with bilateral hippocampal volumes. The scores in calculation, spatial attention, and shape discrimination tasks were positively associated with GM volume in bilateral parietal lobes. And only spatial attention and shape discrimination scores were positively associated with regional glucose metabolism in parietal lobes. Conclusions: PCA patients displayed better recognition and recall scores and much poorer performance in spatial attention and shape discrimination tasks, which are likely associated with the larger volume of right hippocampus, the marked cortical GM atrophy, and hypometabolism in the parietal lobes. P3-144
COGNITIVE SUBTYPES IDENTIFIED USING NONNEGATIVE MATRIX FACTORISATION IN FOUR LARGE ALZHEIMER’S DISEASE DEMENTIA COHORTS
Nienke M. E. Scheltens1, Betty M. Tijms1, Teddy Koene2, Frederik Barkhof3,4, Charlotte E. Teunissen5, Steffen Wolfsgruber6,7, Michael Wagner7,8, Johannes Kornhuber9, Oliver Peters10, Brendan Cohn-Sheehy11, Gil D. Rabinovici12,13, Bruce Miller12, Joel Kramer12, Philip Scheltens14, Wiesje M. van der Flier15,16, 1Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, Netherlands; 2Department of Medical Psychology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, Netherlands; 3Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, Netherlands; 4University College London, London, United Kingdom; 5Neurochemistry Lab and Biobank, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, Netherlands; 6DZNE, German Center for Neurodegenerative Diseases, Bonn, Germany; 7Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany; 8German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; 9Friedrich-Alexander University Erlangen-N€urnberg, Erlangen, Germany; 10Charite - Universitaetsmedizin Berlin, Berlin, Germany; 11University of California Davis, Davis, CA, USA; 12 University of California San Francisco, San Francisco, CA, USA; 13 University of California Berkeley, Berkeley, CA, USA; 14Alzheimer Center, Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, Netherlands; 15Alzheimer Center and Neurology Department, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, Netherlands; 16Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, Netherlands. Contact e-mail:
[email protected] Background: Alzheimer’s disease (AD) dementia is a heterogeneous
disorder with variability in cognitive presentation. We aimed to identify cognitive AD subtypes using a data-driven dual clustering approach. We repeated analyses in four large independent AD cohorts to assess robustness of the identified cognitive subtypes. Methods: We included probable AD dementia patients with MiniMental State Examination score (MMSE) >16/30 from the
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Poster Presentations: Tuesday, July 26, 2016
ADC
n Age (yr) MMSE APOE e4 positive genotype FA MTA PA
ADNI
DCN
UCSF
mem
non-mem
mem
non-mem
mem
non-mem
mem
non-mem
352 (71%) 68 6 8 23 6 3 225 (70%)
144 (29%) 65 6 8*** 21 6 3** 74 (59%)
194 (52%) 76 6 7 24 6 2 54 (50%)
182 (48%) 74 6 8 23 6 2 38 (43%)
335 (64%) 72 6 8 23 6 3 175 (67%)
186 (36%) 71 6 9 23 6 3 80 (58%)
328 (56%) 72 6 10 24 6 3 45 (48%)
261 (44%) 70 6 11 23 6 4** 31 (38%)
na 1.4 6 .8 1.1 6 .8
na 1.2 6 .8 1.5 6 .8**
na na na
na na na
.9 6 .9* 1.3 6 1.0 1.0 6 .9*
1.2 6 .9 1.5 6 1.0 1.2 6 1.0
na na na
na na na
Abbreviations: mem ¼ memory impaired cluster, non-mem ¼ memory-spared cluster, MMSE ¼ Mini-Mental State Examination, APOE ¼ Apolipoprotein, FA ¼ mean frontal atrophy (0-3), MTA ¼ mean medial temporal lobe atrophy (0-4), PA ¼ mean parietal atrophy (0-3). Significant differences with the memoryimpaired clusters are marked as follows: *p<0.05; ** p<0.01; *** p<0.001
Amsterdam Dementia Cohort (ADC, n¼496), the Alzheimer’s Disease Neuroimaging Initiative (ADNI, n¼376), the German Dementia Competence Network (DCN, n¼521), and the University of California San Francisco Memory Clinic (UCSF, n¼589). The composition of neuropsychological test batteries differed between cohorts, but all covered the different cognitive domains. After imputation, normalisation, and scaling to include only positive values (0-1), we clustered neuropsychological test results for each cohort using the R package nonnegative matrix factorisation (NMF). This resulted in a clustering of neuropsychological tests (dimensionality reduction) and subjects (cognitive subtypes). Number of clusters was determined based on the highest cophenetic correlation. We compared identified cognitive clusters in terms of demographics, Apolipoprotein E [APOE] genotype, cerebrospinal fluid AD biomarkers, and cortical atrophy ratings. Results: In all four cohorts, neuropsychological tests were clustered into two components (all cophenetic correlations >.8): One including mostly memory tests, and one largely including non-memory tests. Two clusters of patients were identified: One associated with low scores on the memory component (memory-impaired clusters, including 52-71% of patients) and one associated with low scores on the non-memory component (memory-spared clusters, including 2948% of patients). Memory-spared clusters were younger, more often APOE e4 negative, had more severe parietal and frontal atrophy, and had lower MMSE scores than the memory-impaired clusters. Conclusions: Using dual-clustering approach NMF we robustly identified two cognitive AD subtypes in four independent large cohorts; one memory-impaired and one relatively memory-spared. The memory-spared subtypes included about one third of patients, and were characterized by younger age, APOE e4 negative genotype, more severe parietal or frontal atrophy, and lower MMSE scores compared to the memory-impaired clusters. P3-145
DIAGNOSTIC METHODS FOR NORMAL PRESSURE HYDROCEPHALUS IN A NATIONAL REFERENCE NEUROLOGICAL CENTER IN MEXICO CITY: A CASE SERIES
Leo Bayliss1, Ana Luisa Sosa-Ortiz2, 1Instituto Nacional de Neurologıa y Neurocirugıa, Mexico City, Mexico; 2Dementia Laboratory National Institute of Neurology and Neurosurgery, Mexico City, Mexico. Contact e-mail:
[email protected] Background: Normal Pressure Hydrocephalus (NPH) is a clinical
entity characterized for an enlargement of cerebral ventricles and normal intracranial pressure with associated impairment of gait, cognition and urinary continence. Our institution currently lacks
a system to approach patients with symptoms of NPH. Diagnostic methods being implemented are not standardized, and thus selection of patients may not be optimal. Absence of systematization affects estimates of NPH frequency, usefulness of diagnostic tests and shunting outcomes. Understanding the experience with diagnostic methods and interventions in our center may support a specific approach for our patients with symptoms of NPH. Methods: We set to study a case series to improve our knowledge and clinical practice in this field. Patient medical discharges from January 2010 to December 2014 with diagnosis of NPH were requested from our center’s epidemiology department. To enlarge our sample, outpatients were selected by convenience from January 2015 to June 2015. Results: Series comprised 16 patients; nine of these had iNPH. The most used test was lumbar tap in nine patients, change was evaluated once following tap. Most implemented cognitive measure of change was Mini Mental Status Examination (MMSE) in 5 cases, with heterogeneous evaluations in the remainder. Imaging without drainage test was used for diagnosis in five cases. Shunt was performed in a total of 10 patients, nine of whom good outcomes were reported. Conclusions: The most implemented diagnostic method was a combination of lumbar tap test and MMSE, adequately selecting patients for a good functional outcome. Remarkably, imaging by itself was able to adequately select patients for a good post shunt functional outcome. The adequate and opportune detection and treatment of NPH is an important opportunity to change the course of a treatable dementia. P3-146
REGIONAL BETA-AMYLOID PET COMPARISON ACROSS ATYPICAL AND TYPICAL VARIANTS OF ALZHEIMER’S DISEASE
Alissa M. Butts, Mary M. Machulda, Joseph R. Duffy, Scott A. Przybelski, Ronald C. Petersen, Clifford R. Jack Jr., Val J. Lowe, Keith A. Josephs, Jennifer L. Whitwell, Mayo Clinic, Rochester, MN, USA. Contact e-mail:
[email protected] Background: Typical dementia of the Alzheimer’s type (DAT) presents as a primary amnestic syndrome, and three “atypical” variants are now recognized. Two of these atypical variants include posterior cortical atrophy (PCA), which presents with visual deficits and the logopenic variant of primary progressive aphasia (lvPPA), which presents with primary language disruption, both of which are commonly due to Alzheimer’s disease pathology. Here, we compare these Alzheimer’s disease variants on the pattern of beta-amyloid deposition on PiB PET, as well as cognitive measures. Methods: We matched 27 PCA, 50 LPA, and 77 DAT patients on