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.
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.
|Mattos, Meghan K; Snitz, Beth E; Lingler, Jennifer H et al. (2016) Older Rural- and Urban-Dwelling Appalachian Adults With Mild Cognitive Impairment. J Rural Health :|
|Mez, Jesse; Mukherjee, Shubhabrata; Thornton, Timothy et al. (2016) The executive prominent/memory prominent spectrum in Alzheimer's disease is highly heritable. Neurobiol Aging 41:115-21|
|LoBue, Christian; Denney, David; Hynan, Linda S et al. (2016) Self-Reported Traumatic Brain Injury and Mild Cognitive Impairment: Increased Risk and Earlier Age of Diagnosis. J Alzheimers Dis 51:727-36|
|Lai, Dongbing; Xu, Huiping; Koller, Daniel et al. (2016) A MULTIVARIATE FINITE MIXTURE LATENT TRAJECTORY MODEL WITH APPLICATION TO DEMENTIA STUDIES. J Appl Stat 43:2503-2523|
|Villarreal, Alcibiades E; O'Bryant, Sid E; Edwards, Melissa et al. (2016) Serum-based protein profiles of Alzheimer's disease and mild cognitive impairment in elderly Hispanics. Neurodegener Dis Manag 6:203-13|
|Day, Gregory S; Musiek, Erik S; Roe, Catherine M et al. (2016) Phenotypic Similarities Between Late-Onset Autosomal Dominant and Sporadic Alzheimer Disease: A Single-Family Case-Control Study. JAMA Neurol 73:1125-32|
|Ronquillo, Jay Geronimo; Baer, Merritt Rachel; Lester, William T (2016) Sex-specific patterns and differences in dementia and Alzheimer's disease using informatics approaches. J Women Aging 28:403-11|
|Mudar, Raksha A; Chiang, Hsueh-Sheng; Eroh, Justin et al. (2016) The Effects of Amnestic Mild Cognitive Impairment on Go/NoGo Semantic Categorization Task Performance and Event-Related Potentials. J Alzheimers Dis 50:577-90|
|Kovacs, Gabor G; Ferrer, Isidro; Grinberg, Lea T et al. (2016) Aging-related tau astrogliopathy (ARTAG): harmonized evaluation strategy. Acta Neuropathol 131:87-102|
|Ridge, Perry G; Hoyt, Kaitlyn B; Boehme, Kevin et al. (2016) Assessment of the genetic variance of late-onset Alzheimer's disease. Neurobiol Aging 41:200.e13-20|
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