At present, Alzheimer's Disease (AD) affects 5 million in the US alone, with numbers projected to double by 2050. AD is a progressive neurodegenerative disease, and there are no disease-modifying therapies. Biomarkers ? objective measures of physiological of pathophysiological states ? can accelerate therapeutic development by making clinical trials more targeted and more efficient. However, successful biomarker development requires availability of biosamples from well-characterized patient populations, attention to detail in sample collection and handling, and quality control (QC) for sources of preanalytical variability. The recently-renewed Penn ADCC follows a longstanding clinical cohort of cognitively normal subjects, subjects with mild cognitive impairment (MCI), patients with early AD, and patients with AD related diseases (ADRD), numbering 500 individuals total. We propose to form a stand-alone Biomarker Core (Core G) to augment efforts of the existing 6 Penn ADCC cores by creating a systematic resource for biofluid samples, an accompanying set of baseline biochemical data, and QC tools to enable biomarker discovery. To do this, we propose four specific aims. ? SPECIFIC AIM 1: Oversee and direct all banking and dispersal of biofluid samples from Clinical Core B. These biofluids will consist of CSF, plasma, and serum collected at each visit. ? SPECIFIC AIM 2: Characterize biochemical biomarkers previously reported in the literature to confirm diagnosis of AD, predict outcome in early (or prodromal) stages of AD, indicate target engagement with an experimental therapeutic, or monitor disease progression. Specific markers that will be assayed in all 500 ADCC Clinical Core subjects at baseline include CSF A?1-42, CSF t-tau, and CSF p-tau181, CSF neurofilament light chain (NF-L), CSF ferritin, plasma NF-L, plasma epidermal growth factor (EGF). Moreover, biochemical biomarkers emerging from early investigations in ADNI (such as CSF total and phospho-?-SYN, neurogranin, and Vilip1), may be incorporated if data from ADNI appears sufficiently promising. ? SPECIFIC AIM 3: Create and maintain reference pools of CSF, plasma, and serum samples from the ADCC Clinical Core cohort as well as cohorts of patients with ADRD from other Penn clinics, making them available to investigators within the ADCC, and throughout the wider AD research community. ? SPECIFIC AIM 4: Create biomarker readouts for quality of sample handling from protein profiles obtained from systematic sample perturbations. We will leverage separately-funded investigations in which replicate plasma aliquots are systematically perturbed (left at room temperature, subjected to freeze-thaw) prior to interrogation on an aptamer-based platform for >1000 protein analytes. Through these separately-funded investigations, we will be able to identify many protein candidates that change in a predictable way with these systematic perturbations. In this Aim, we will develop assays for these candidate proteins, creating ?readouts? for poor sample handling.

Public Health Relevance

Alzheimer's Disease (AD) is a neurodegenerative disease affecting 5 million people in the US alone, with no disease-modifying therapies. Biomarkers hold immense promise to accelerate the pace of therapeutic discoveries in AD; indeed, biomarkers have already begun to enter clinical trial selection criteria and may additionally inform identification of individuals with prodromal AD. The proposed project will enable biomarker development through the establishment of a stand-alone Biomarker Core for the Penn ADCC.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
3P30AG010124-27S1
Application #
9359952
Study Section
Special Emphasis Panel (ZAG1)
Program Officer
Silverberg, Nina B
Project Start
1997-07-15
Project End
2021-06-30
Budget Start
2017-09-01
Budget End
2018-06-30
Support Year
27
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Pennsylvania
Department
Pathology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Weintraub, Sandra; Besser, Lilah; Dodge, Hiroko H et al. (2018) Version 3 of the Alzheimer Disease Centers' Neuropsychological Test Battery in the Uniform Data Set (UDS). Alzheimer Dis Assoc Disord 32:10-17
Largent, Emily A; Karlawish, Jason; Grill, Joshua D (2018) Study partners: essential collaborators in discovering treatments for Alzheimer's disease. Alzheimers Res Ther 10:101
Brent, Robert J (2018) Estimating the monetary benefits of medicare eligibility for reducing the symptoms of dementia. Appl Econ 50:6327-6340
Irwin, David J; McMillan, Corey T; Xie, Sharon X et al. (2018) Asymmetry of post-mortem neuropathology in behavioural-variant frontotemporal dementia. Brain 141:288-301
Gallagher, Damien; Kiss, Alex; Lanctot, Krista et al. (2018) Depression and Risk of Alzheimer Dementia: A Longitudinal Analysis to Determine Predictors of Increased Risk among Older Adults with Depression. Am J Geriatr Psychiatry 26:819-827
Bezdicek, Ondrej; ?ervenková, Markéta; Moore, Tyler M et al. (2018) Determining a Short Form Montreal Cognitive Assessment (s-MoCA) Czech Version: Validity in Mild Cognitive Impairment Parkinson's Disease and Cross-Cultural Comparison. Assessment :1073191118778896
Phillips, Jeffrey S; Da Re, Fulvio; Dratch, Laynie et al. (2018) Neocortical origin and progression of gray matter atrophy in nonamnestic Alzheimer's disease. Neurobiol Aging 63:75-87
Haaksma, Miriam L; Calderón-Larrañaga, Amaia; Olde Rikkert, Marcel G M et al. (2018) Cognitive and functional progression in Alzheimer disease: A prediction model of latent classes. Int J Geriatr Psychiatry 33:1057-1064
Racine, Annie M; Brickhouse, Michael; Wolk, David A et al. (2018) The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment. Alzheimers Dement (Amst) 10:301-310
Wilmoth, Kristin; LoBue, Christian; Clem, Matthew A et al. (2018) Consistency of traumatic brain injury reporting in older adults with and without cognitive impairment. Clin Neuropsychol 32:524-529

Showing the most recent 10 out of 720 publications