The central theme of the UT Southwestern ADC is that vascular and inflammatory risk factors in elderly individuals influence the course of AD, MCI and FTLD, and that such factors constitute endophenotypes. A requirement of such endophenotypes is that they be measurable by quantitative psychometric, physiologic, neuroimaging, or biochemical methods. Over the next 5 years, the Clinical Core will carry out studies aimed at developing methods to study these vascular and inflammatory endophenotypes and assess their contribution to AD, MCI, FTLD and normal aging. Our specific hypothesis is that the age of onset and rate of progression of patients presenting with early-stage AD (including MCI) and FTLD are related to the presence of vascular and inflammatory endophenotypes. This hypothesis reflects the interests of Center investigators as well as the expertise of other investigators at UT Southwestern Medical Center. While this theme is our focus, the UTSW ADC also functions the academic home of dementia-related research on campus, and works to foster and support investigator-initiated research projects at UTSW and related institutions. This includes creating a forum for interactions among scientists from various departments and facilitating research across disciplines. The UTSW ADC runs a highly successful Pilot Grants Program, which has attracted promising young investigators to the field who have gone on to win independent extramural funding. Finally, the UTSW ADC continues its productive participation by UT Southwestern in multi-institutional collaborative studies.

Public Health Relevance

The development of successful therapies for Alzheimer's disease (AD) will require a thorough understanding of the pathologic mechanisms that contribute to neurodegeneration. Data from epidemiologic and observational studies indicates that vascular and inflammatory pathology contributes to AD. The goal of the UTSW ADC is to identify biomarkers of vascular and inflammatory pathology that will be useful for selection of participants in clinical trials.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
2P30AG012300-17A1
Application #
8295029
Study Section
Special Emphasis Panel (ZAG1-ZIJ-5 (M2))
Project Start
Project End
Budget Start
2011-08-15
Budget End
2012-06-30
Support Year
17
Fiscal Year
2011
Total Cost
$279,810
Indirect Cost
Name
University of Texas Sw Medical Center Dallas
Department
Type
DUNS #
800771545
City
Dallas
State
TX
Country
United States
Zip Code
75390
Burke, Shanna L; Maramaldi, Peter; Cadet, Tamara et al. (2018) Decreasing hazards of Alzheimer's disease with the use of antidepressants: mitigating the risk of depression and apolipoprotein E. Int J Geriatr Psychiatry 33:200-211
Qian, Winnie; Fischer, Corinne E; Schweizer, Tom A et al. (2018) Association Between Psychosis Phenotype and APOE Genotype on the Clinical Profiles of Alzheimer's Disease. Curr Alzheimer Res 15:187-194
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
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
Ramsey, Christine M; Gnjidic, Danijela; Agogo, George O et al. (2018) Longitudinal patterns of potentially inappropriate medication use following incident dementia diagnosis. Alzheimers Dement (N Y) 4:1-10
Hadjichrysanthou, Christoforos; McRae-McKee, Kevin; Evans, Stephanie et al. (2018) Potential Factors Associated with Cognitive Improvement of Individuals Diagnosed with Mild Cognitive Impairment or Dementia in Longitudinal Studies. J Alzheimers Dis 66:587-600
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
Stallings, Nancy R; O'Neal, Melissa A; Hu, Jie et al. (2018) Pin1 mediates A?42-induced dendritic spine loss. Sci Signal 11:
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

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