As the population ages, cognitive decline and Alzheimer's disease (AD) are becoming increasingly important public health issues. Mild cognitive impairment (MCI) is considered a precursor to AD, and early identification of MCI and effective management of risk factors associated with conversion from MCI to dementia is an important step in managing the public health crisis of AD. Unfortunately, MCI is an unstable diagnostic construct, and key predictors of conversion and reversion are poorly understood. Multiple vascular factors and prevalent cardiovascular disease are known risks for the development of AD, so a plausible predictor of diagnostic fluctuations in MCI is the presence of concomitant micro vascular disease in the brain. This proposal will leverage the existing and robust dataset from the Alzheimer's Disease Neuroimaging Initiative to examine neuroimaging markers of micro vascular and microstructural tissue changes in the white matter with cognitive trajectory among cognitively normal older adults and individuals with MCI. We will (1) assess how stable versus progressive cerebral micro vascular disease and micro structural changes in white matter affect maladaptive cognitive aging over time and (2) assess the mediating effect of baseline systemic vascular disease (using a vascular health index) in the longitudinal relation between micro vascular and micro structural white matter changes and diagnostic conversion and cognitive trajectory. Insights regarding complex relations between systemic vascular disease and micro vascular or microstructural changes in the brain have important public health implications because they will contribute to early identification of a vulnerable population at high risk for cognitive progression. Furthermore, because vascular risk factors can be modified over the life course to reduce the burden of cerebrovascular disease in older adults, this vulnerable population would benefit most from novel strategies to delay or prevent progression, which is particularly valuable in light of the aging of the population and increasing prevalence of AD.

Public Health Relevance

The incidence of dementia is dramatically increasing, and in the absence of effective therapies, there is an urgent need to identify vascular risk factors and prevention strategies. The proposed project will provide insights regarding complex relations between systemic vascular disease, micro vascular and micro structural changes on brain MRI, and early identification of a vulnerable population at risk for cognitive progression to aid in early identification and risk reduction strategies.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL111516-03
Application #
8626439
Study Section
Behavioral Medicine, Interventions and Outcomes Study Section (BMIO)
Program Officer
Reid, Diane M
Project Start
2012-03-27
Project End
2017-02-28
Budget Start
2014-03-01
Budget End
2015-02-28
Support Year
3
Fiscal Year
2014
Total Cost
$733,200
Indirect Cost
$263,200
Name
Vanderbilt University Medical Center
Department
Neurology
Type
Schools of Medicine
DUNS #
004413456
City
Nashville
State
TN
Country
United States
Zip Code
37212
Gifford, Katherine A; Liu, Dandan; Neal, Jacquelyn E et al. (2018) Validity and Normative Data for the Biber Figure Learning Test: A Visual Supraspan Memory Measure. Assessment :1073191118773870
Deming, Yuetiva; Dumitrescu, Logan; Barnes, Lisa L et al. (2018) Sex-specific genetic predictors of Alzheimer's disease biomarkers. Acta Neuropathol 136:857-872
Cambronero, Francis E; Liu, Dandan; Neal, Jacquelyn E et al. (2018) APOE genotype modifies the association between central arterial stiffening and cognition in older adults. Neurobiol Aging 67:120-127
Hohman, Timothy J; Dumitrescu, Logan; Cox, Nancy J et al. (2017) Genetic resilience to amyloid related cognitive decline. Brain Imaging Behav 11:401-409
Lane, Elizabeth M; Hohman, Timothy J; Jefferson, Angela L et al. (2017) Insulin-like growth factor binding protein-2 interactions with Alzheimer's disease biomarkers. Brain Imaging Behav 11:1779-1786
Bell, S P; Liu, D; Samuels, L R et al. (2017) Late-Life Body Mass Index, Rapid Weight Loss, Apolipoprotein E ?4 and the Risk of Cognitive Decline and Incident Dementia. J Nutr Health Aging 21:1259-1267
Jefferson, Angela L; Gifford, Katherine A; Acosta, Lealani Mae Y et al. (2016) The Vanderbilt Memory & Aging Project: Study Design and Baseline Cohort Overview. J Alzheimers Dis 52:539-59
Gifford, Katherine A; Liu, Dandan; Romano 3rd, Raymond et al. (2015) Development of a subjective cognitive decline questionnaire using item response theory: a pilot study. Alzheimers Dement (Amst) 1:429-439
Gifford, Katherine A; Liu, Dandan; Hohman, Timothy J et al. (2015) A Mutual Self- and Informant-Report of Cognitive Complaint Correlates with Neuropathological Outcomes in Mild Cognitive Impairment. PLoS One 10:e0141831
Gifford, Katherine A; Phillips, Jeffrey S; Samuels, Lauren R et al. (2015) Associations between Verbal Learning Slope and Neuroimaging Markers across the Cognitive Aging Spectrum. J Int Neuropsychol Soc 21:455-67

Showing the most recent 10 out of 19 publications