This is a new submission for a K24 Midcareer Investigator Award in Patient-Oriented Research. The overarching objective of this proposal is to allow the Candidate, Warren D. Taylor, MD, to 1) develop expertise in PET imaging and 2) obtain skills and experience in mentoring junior researchers. This will extend his past work examining biomarkers of clinical outcomes in depression into cellular and molecular measures while mentoring new investigators on biomarker approaches examining important clinical outcomes. To achieve these goals, the Career Development Plan provides for training in PET imaging methodology, methods for analyzing PET imaging data, and methods for multimodal imaging analyses combining PET and MRI data. His mentorship skills will be enhanced through by serving as faculty for local and national mentoring workshops, formal training, and work to develop a research training program. Supporting these goals, the Mentoring Plan focuses on junior investigators in patient-oriented research with interests in depression. Utilizing multiple Vanderbilt resources to identify and support these trainees, the Candidate will provide hands-on training in research methodology with the goal of trainees preparing publishable scientific reports and entry-level grant applications. Extensive institutional resources at Vanderbilt will augment experiences provided by the Candidate. Finally, the Candidate's career development focus on developing expertise in PET imaging will be facilitated by the Research Plan. This pilot project involves obtaining florbetapir (18F) PET data in older adults with depression with the overarching aim of investigating the role of amyloid deposition on cognition and antidepressant outcomes. This project is linked to the Candidate's current R01, a study examining structural and functional MRI biomarkers influencing antidepressant treatment outcomes. By acquiring data on amyloid binding in 33 cognitively intact but depressed individuals, this project will test the hypotheses that increased amyloid binding is associated with poorer cognitive performance and poorer response to 8 weeks of blinded escitalopram. By integrating the PET data with MRI data, we will also examine whether this effect is related to early amyloid deposition in default mode network regions, and whether amyloid deposition is associated with altered network functional connectivity. Overall, this award will provide crucial support for the Candidate to expand his research expertise and mentoring programs. It will also provide novel information on the effects of Alzheimer neuropathology on late-life depression outcomes that will guide future proposals.

Public Health Relevance

This application is for a K24 Midcareer Development Award that will assist the candidate's transition to become a primary research mentor for trainees and junior colleagues with interests in patient oriented research. Building on the candidate's research efforts, this will focus on biomarkers related to important outcomes in depression, such as treatment outcomes or cognitive outcomes. The application builds on currently funded projects and adds a new PET imaging pilot project examining the relationship between amyloid binding on clinical phenotype and antidepressant treatment response in late-life depression.

National Institute of Health (NIH)
National Institute of Mental Health (NIMH)
Midcareer Investigator Award in Patient-Oriented Research (K24)
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Adult Psychopathology and Disorders of Aging Study Section (APDA)
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Evans, Jovier D
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Vanderbilt University Medical Center
United States
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Albert, Kimberly M; Potter, Guy G; McQuoid, Douglas R et al. (2018) Cognitive performance in antidepressant-free recurrent major depressive disorder. Depress Anxiety 35:694-699
Gandelman, Jason A; Albert, Kimberly; Boyd, Brian D et al. (2018) Intrinsic Functional Network Connectivity Is Associated With Clinical Symptoms and Cognition in Late Life Depression. Biol Psychiatry Cogn Neurosci Neuroimaging :
Taylor, Warren D; Deng, Yi; Boyd, Brian D et al. (2018) Medial temporal lobe volumes in late-life depression: effects of age and vascular risk factors. Brain Imaging Behav :
Gandelman, Jason A; Kang, Hakmook; Antal, Ashleigh et al. (2018) Transdermal Nicotine for the Treatment of Mood and Cognitive Symptoms in Nonsmokers With Late-Life Depression. J Clin Psychiatry 79:
Saleh, Ayman; Fuchs, Catherine; Taylor, Warren D et al. (2018) Evaluating the consistency of scales used in adult attention deficit hyperactivity disorder assessment of college-aged adults. J Am Coll Health 66:98-105
Abi Zeid Daou, Margarita; Boyd, Brian D; Donahue, Manus J et al. (2018) Anterior-posterior gradient differences in lobar and cingulate cortex cerebral blood flow in late-life depression. J Psychiatr Res 97:1-7
Deng, Yi; McQuoid, Douglas R; Potter, Guy G et al. (2018) Predictors of recurrence in remitted late-life depression. Depress Anxiety 35:658-667
Gandelman, Jason A; Newhouse, Paul; Taylor, Warren D (2018) Nicotine and networks: Potential for enhancement of mood and cognition in late-life depression. Neurosci Biobehav Rev 84:289-298
Riddle, Meghan; Potter, Guy G; McQuoid, Douglas R et al. (2017) Longitudinal Cognitive Outcomes of Clinical Phenotypes of Late-Life Depression. Am J Geriatr Psychiatry 25:1123-1134
Johnson, Anne D; McQuoid, Douglas R; Steffens, David C et al. (2017) Effects of stressful life events on cerebral white matter hyperintensity progression. Int J Geriatr Psychiatry 32:e10-e17

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