Boston Naming Test predicts deterioration of cerebrospinal fluid biomarkers in pre-symptomatic Alzheimer’s disease Charleen Wilder, MA, Kristina Moncrieffe,

Slides:



Advertisements
Similar presentations
ADNI 3 Clinical Core Plans
Advertisements

CSF tau Is it an informative biomarker of AD pathology Chris Clark Alzheimer’s Disease Center University of Pennsylvania.
Mild Cognitive Impairment as a Target for Drug Development Steven H. Ferris, Ph.D. Silberstein Aging and Dementia Research Center New York University School.
MCI Clinical Trial Design FDA Advisory Committee Meeting March 13, 2001 Gaithersburg, MD Michael Grundman, MD, MPH Alzheimer’s Disease Cooperative Study.
Perceived Recovery as a Predictor of Physical Activity after Mild Stroke Jessica Koster, BA, MSOTS 1, & Timothy J. Wolf, OTD, MSCI, OTR/L 1,2 Washington.
COST CM1103 Training School Structure-based drug design for diagnosis and treatment of neurological diseases Istanbul, 9-13 Sept 2013 Mirjana Babić, mag.biol.mol.
INTRODUCTION Early after injury, persons with mild traumatic brain injury (TBI) have been shown to experience physical, cognitive, and emotional difficulties.
CL Ropp 1, SL Tyas 1, KP Riley 2, KS SantaCruz 3 1 University of Waterloo, 2 University of Kentucky, 3 University of Minnesota March 29, 2011 The Impact.
Classification of Patients with Mild Cognitive Impairment vs. Normal Controls based on Experimental and Conventional Standardized Measures of Processing.
©2012 MFMER | ADNI Clinical Core Paul Aisen Ron Petersen Michael Donohue Jennifer Salazar ADNI Steering Committee Meeting Washington, DC April.
Results Baseline Differences Between Groups No significant differences were found between ethnic groups on baseline levels of Praise (F = 2.006, p>.05),
Recent advances in Trace Element Research in Health and Disease Dubrovnik, Oct 2015 Mirjana Babić Leko, mag.biol.mol Department of Neuroscience Croatian.
Alzheimer’s Disease Today and Tomorrow First case reported in 1906 Reported by Alois Alzheimer Patient Augusta D. first treated at 46 years old Paranoia,
TASK-EVOKED PUPIL DILATION Pupil dilation is a validated psychophysiological index of effortful resource allocation (cogintive effort). Increased cognitive.
Acknowledgments: Craig Ravesloot, PhD., Tannis Hargrove, MS, The Rural Institute, University of Montana. Introduction, Materials, and Methods In this study.
BACKGROUND Screening for subclinical TDP43 neuropathology in autoimmune conditions: a pilot study Natasha Clarke, Nidhi Sofat, Lena Assi and Peter GarrardContact:
The Clinical Utility of the LANSE- A and LANSE-C Jennifer L. Harrison, M.A., Megan Pollock, M.A., Amy Mouanoutoua, M.A. Ashley Brimager, M.A., & Paul C.
Date of download: 6/23/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Pulse Pressure in Relation to Tau-Mediated Neurodegeneration,
Date of download: 7/8/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Intranasal Insulin Therapy for Alzheimer Disease and.
Date of download: 7/8/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Levels of β-Secretase (BACE1) in Cerebrospinal Fluid.
C-Reactive Protein & Cognitive Function
Copyright © 2014 American Medical Association. All rights reserved.
Value of cerebrospinal fluid visinin-like protein-1 (VILIP-1) for prediction of mild cognitive impairment progression to Alzheimer's disease  Mirjana Babić.
Discriminatory and predictive capabilities of enzyme-linked immunosorbent assay and multiplex platforms in a longitudinal Alzheimer’s disease study  Wesley.
21st Young Neuroscientist Meeting
NMR-Based Diabetes Risk Index is Capable of Identifying Normal Weight Subjects with High Likelihood of Progressing to Type 2 Diabetes Margery A. Connelly,
Alzheimer’s Disease Neuroimaging Initiative 3 (ADNI 3)
Changes in CSF cholinergic biomarkers in response to cell therapy with NGF in patients with Alzheimer's disease  Azadeh Karami, Helga Eyjolfsdottir, Swetha.
Components Studied in Literature Discussion and Conclusion
Fran Borovečki3, Patrick R. Hof4, Nela Pivac2, Goran Šimić1*
Diagnostic potential of cerebrospinal fluid biomarkers in Alzheimer’s disease combined with tau genotypes Mirjana Babić Leko1#, Nanet Willumsen2#, Matea.
Logistic Regression APKC – STATS AFAC (2016).
The BrainHealthRegistry
TEXILA AMERICAN UNIVERSITY
John Weeks1, MD Candidate 2017, Justin Hickman1, MD Candidate 2017
Daily Stress, Coping, and Nocturnal Blood Pressure Dipping
Table 1. Summary of Study Measures
Brief Computerized Measures of Information Processing Speed are Sensitive to Multiple Sclerosis across the Lifespan M. Shaw1, C. Schwarz1, L.B. Krupp1,
COMBINATION OF CSF PROTEIN BIOMARKERS AND BDNF, IL10 AND IL6 GENOTYPES IN EARLY DIAGNOSIS OF ALZHEIMER’S DISEASE   Mirjana Babić Leko1, Matea Nikolac Perković2,
PREDICTIVE VALIDITY OF THE MMPI-2: CLINICAL SCALE DISTURBANCE
A neurobiological model of memory impairment in late-life major depressive disorder Davide Bruno1, Jay Nierenberg2, Michel Grothe3, Domenico Pratico’ 4,
Cognitive Biomarker of MS
Parenting behaviors predict effortful control and internalizing/externalizing problems among children during the first year of a cancer diagnosis Emily.
Engagement and Treatment Completion in a Correctional Sample
Correlation of developmental outcome with severity of bronchopulmonary dysplasia in extremely low gestational age neonates Karen Belen, Chengqiu Lu, Narges.
BACKGROUND RESULTS OBJECTIVES METHODS CONCLUSIONS REFERENCES
39 DEVELOPED HCC by EASL criteria
Volume 2, Issue 1, Pages (January 2016)
Acute Assessment of Mild Traumatic Brain Injury with the King-Devick Test in an Emergency Department Sample Objectives Results The MTBI and trauma control.
Early diagnosis of mild cognitive impairment and Alzheimer's disease based on salivary lactoferrin  Eva Carro, Fernando Bartolomé, Félix Bermejo-Pareja,
PPMI in the Medical Literature
From the Indianapolis – Ibadan Dementia Research Project.
ADI Disease International 7-10 March, 2012
Early Dementia Distinguishing AD From MCI
Reisa Sperling, Elizabeth Mormino, Keith Johnson  Neuron 
ADNI Clinical Core Paul Aisen Ron Petersen Michael Donohue
Does Multilingualism Protect Against Alzheimer’s Disease
Chris Hyde Exeter Test Group.
Alzheimer’s Disease Neuroimaging Initiative 3 (ADNI 3)
Emily A. Davis & David E. Szwedo James Madison University Introduction
Argentina Arg-ADNI Ezequiel Surace, PhD.
Prosocial Behaviors in Adolescence
Tharick A. Pascoal, Sulantha Mathotaarachchi, Monica Shin, Andrea L
Differential gene expression in whole blood from SJIA patients and healthy controls. A. Data were normalized in Beadstudio using the "average" method and.
Columbia University Medical Center
Fig. 1. AD biomarker levels in the cerebrospinal fluid of iNPH, AD, and CN subjects. Box plots of Aβ42 (A), Aβ40 (B), Aβ42/Aβ40 ratio (C), t-tau (D),
Detecting and Diagnosing Alzheimer’s Disease
Figure 1 NMF in ADD patients and classification of prodromal Alzheimer’s disease participants. Grey matter ... Figure 1 NMF in ADD patients and classification.
Alzheimer's Prevention Research and
in Younger and Older African Americans and Whites
Presentation transcript:

Boston Naming Test predicts deterioration of cerebrospinal fluid biomarkers in pre-symptomatic Alzheimer’s disease Charleen Wilder, MA, Kristina Moncrieffe, MA, Anne Nolty, PhD, ABPP-CN, Michael G. Harrington, MB., ChB, FRCP Background Results Results (continued) Identifying early predictors of Alzheimer’s disease is crucial in order to provide early treatment and minimize the negative impact of the disease. The current study is a longitudinal neuropsychological examination of cognitively healthy pre-symptomatic elderly participants with cerebrospinal fluid (CSF) amyloid and tau measurements. CSF amyloid and tau levels are established biomarkers of Alzheimer’s disease. Based on their amyloid and tau measurements, participants were classified as having normal amyloid/tau levels (NAT) or pathological amyloid/tau levels (PAT). Examining the neuropsychological differences between cognitively healthy individuals with initial normal biochemistry, NATs, and those who convert over time to abnormal biochemistry, PATs, can identify predictive behavioral markers. Hypothesis: Neuropsychological data will predict the change in biochemistry in participants who convert from NATs to PATs over 40 months. Figure 3. The difference in mean (SD) BNT scores are significantly stronger for the NAT-NAT participants than for the NAT-PAT participants. Conclusion Method The neuropsychological data suggest that CH individuals who convert to abnormal CSF biochemistry over the course of 4 years perform worse at Time 1 on the BNT than cognitively healthy individuals who maintain normal biochemistry. We propose that performance on the BNT may predict changes in amyloid and tau biochemistry in cognitively healthy individuals. Further work and research will focus on: Assessing neuropsychological and clinical categories among different groups of participants Examining the difference in BNT scores between NAT-NAT and NAT-PAT participants over time Different age groups Participants: A total of 63 elderly participants were classified by clinical consensus as cognitively healthy. They were tested at two time points: first at an average age of 80 years, then again 40 months later. Out of the 23 NATs, 14 remained NATs (NAT-NAT) and 9 converted to PATs (NAT-PAT) at the second time point. A logistic regression was used to classify participants based on their amyloid and tau measurements. Biochemical classification: At the first visit, lumbar CSF was collected and assayed for Aß42 and tau using a sandwich enzyme-linked immunosorbent assay kit (Innotest β-amyloid(1-42) and Innotest hTAU-Ag, Innogenetics, Gent, Belgium) according to the manufacturer’s protocol. Multinomial logistic regression was used to determine a cutoff for the ratio Aß42/Tau that would provide 85% sensitivity in discriminating cognitively healthy individuals from those with Alzheimer’s disease or mild cognitive impairment. Cognitively healthy participants with a ratio above or on the cutoff (i.e., those with Normal Aß42/Tau proteins) were classified NAT, and those with a ratio below the cutoff (i.e., those with Pathological Aß42/Tau proteins) were classified PAT. We considered our cognitively healthy PAT participants to have pre-symptomatic Alzheimer’s disease. Neuropsychological Testing: Participants were administered a 4-hour battery of neuropsychological tests, which included the Boston Naming Test (BNT), a measure of word retrieval based on visual cues. Analyses: GraphPad Prism 7 was used to analyze the data. Mann-Whitney t tests were used to compare the two participant groups and determine significant differences. 4 years. Predict conversion of CSF AMT from normal to pathological. Chnats that are at greater chance of converting over 4 years. Figure 1. The graph above shows the regression-derived cutoff for the ratio of beta-amyloid and tau that correctly classified 85% of AD patients. The plots include all participants who participated at time 1 and 2. The graph plots tau (X axis) vs. amyloid (Y axis) values for cognitively healthy NAT participants. Test p value Mean (NAT-PAT) SD (NAT-PAT) Mean (NAT-NAT) (NAT-NAT) BNT 0.03 0.39 0.65 0.95 0.60 Acknowledgments We would like to thank the L.K. Whittier Foundation and Huntington Medical Research Institutes for funding. Figure 2. The table above shows the results of the Mann Whitney t tests and the means and standard deviations for NAT-NAT and NAT-PAT on the BNT at Time 1.