The Oregon Alzheimer's Disease Center Biomarkers and Genetics Core was established in order to promote research utilizing genetic, plasma, and cerebrospinal fluid biomarkers of Alzheimer's disease and relevant mechanisms.
The Specific Aims are: 1) To obtain and make available for research, biomarker specimens (DNA. plasma, and CSF) from OADC subjects, including healthy control subjects, subjects with mild cognitive impairment (MCI), and subjects with AD and other demenfias. 2) To obtain and make available for research, biomarker data on OADC subjects. This will include: a) apolipoprotein E (APOE) genotype on all subjects, b) single nucleotide polymorphism (SNP) profiles on select aging cohorts, and c) CSF Ap42, tau, BDNF, and F2-isoprostanes on select cohorts, d) plasma biomarker data on select cohorts. 3) To foster collaborative research involving genetics and other biomarkers emphasizing the research focus of the OADC. Research themes supported by the Core include 1) Identification of genetic predictors of both healthy brain aging and neurodegenerative dementia;2) Identification and validation of CSF and plasma biomarkers of neurodegeneration and mechanisms of neurodegeneration suitable for identification of high risk subjects, for identification of target mechanisms, and for use as outcome measures in clinical trials;3) Identification of CSF and plasma biomarkers of environmental predictors of both healthy brain aging and neurodegenerafive dementia. The Core maintains specimen banks and provides samples to qualified investigators with appropriate IRB approvals. Clinical and other data is also made available to invesfigators within HIPAA guidelines and according to local IRB regulations.

Public Health Relevance

The increasing emphasis on early intervention to prevent Alzheimer's disease in asymptomatic subjects will require that subjects and outcomes be characterized by a variety of biomarkers rather than relying on clinical outcomes alone. The understanding and utilization of these markers of risk and surrogate markers of disease will depend on the availability of the types of samples and data to be generated by this Core.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG008017-23
Application #
8458380
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
Project End
Budget Start
2012-04-01
Budget End
2013-03-31
Support Year
23
Fiscal Year
2012
Total Cost
$206,721
Indirect Cost
$72,487
Name
Oregon Health and Science University
Department
Type
DUNS #
096997515
City
Portland
State
OR
Country
United States
Zip Code
97239
Boespflug, Erin L; Schwartz, Daniel L; Lahna, David et al. (2018) MR Imaging-based Multimodal Autoidentification of Perivascular Spaces (mMAPS): Automated Morphologic Segmentation of Enlarged Perivascular Spaces at Clinical Field Strength. Radiology 286:632-642
Mejia Maza, Alan; Carmen-Orozco, Rogger P; Carter, Emma S et al. (2018) Axonal swellings and spheroids: a new insight into the pathology of neurocysticercosis. Brain Pathol :
Kaye, Jeffrey; Reynolds, Christina; Bowman, Molly et al. (2018) Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data. J Vis Exp :
Hanfelt, John J; Peng, Limin; Goldstein, Felicia C et al. (2018) Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center. Neurobiol Dis 117:62-71
Zhou, Zilu; Wang, Weixin; Wang, Li-San et al. (2018) Integrative DNA copy number detection and genotyping from sequencing and array-based platforms. Bioinformatics 34:2349-2355
Burke, Shanna L; Hu, Tianyan; Fava, Nicole M et al. (2018) Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging :1-25
Wang, Qi; Guo, Lei; Thompson, Paul M et al. (2018) The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1. J Alzheimers Dis 64:149-169
Teipel, Stefan; König, Alexandra; Hoey, Jesse et al. (2018) Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia. Alzheimers Dement 14:1216-1231
Wang, Tingyan; Qiu, Robin G; Yu, Ming (2018) Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 8:9161
Agogo, George O; Ramsey, Christine M; Gnjidic, Danijela et al. (2018) Longitudinal associations between different dementia diagnoses and medication use jointly accounting for dropout. Int Psychogeriatr 30:1477-1487

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