Abstract

The purpose of this Core is to provide a common set of state-of-the-art biochemical and genetic analyses to CIDAR researchers relevant to testing various hypotheses related to prediction of antidepressant response. The laboratories of the Core will provide assessments of hypothalamic-pituitary-adrenal (HPA) axis function, interleukin-6 and C-reactive protein (C-RP), antidepressant drug concentrations, and detailed genetic analyses. The latter includes fine mapping of candidate genes, choosing """"""""tagging SNPs"""""""" as well as genetic data management. Particular emphasis will be placed on development of a dense polymorphism map for each candidate gene to identify the degree of linkage disequilibrium in different ethnic groups. These data will be provided to the statistical modeling core. Having these determinations performed by a central facility using a common set of high quality assay modalities will provide consistency across all of the subjects enrolled in this 5 year study.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH077083-05
Application #
8119603
Study Section
Special Emphasis Panel (ZMH1)
Project Start
2010-07-01
Project End
2011-06-30
Budget Start
2010-07-01
Budget End
2011-06-30
Support Year
5
Fiscal Year
2010
Total Cost
$241,525
Indirect Cost

  Institution

Name
Emory University
Department
Type
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322

  Publications

Syed, Shariful A; Beurel, Eléonore; Loewenstein, David A et al. (2018) Defective Inflammatory Pathways in Never-Treated Depressed Patients Are Associated with Poor Treatment Response. Neuron 99:914-924.e3
Kelley, Mary E; Dunlop, Boadie W; Nemeroff, Charles B et al. (2018) Response rate profiles for major depressive disorder: Characterizing early response and longitudinal nonresponse. Depress Anxiety 35:992-1000
Ahmed, Ahmed T; Frye, Mark A; Rush, A John et al. (2018) Mapping depression rating scale phenotypes onto research domain criteria (RDoC) to inform biological research in mood disorders. J Affect Disord 238:1-7
Dunlop, Boadie W; Cole, Steven P; Nemeroff, Charles B et al. (2018) Differential change on depressive symptom factors with antidepressant medication and cognitive behavior therapy for major depressive disorder. J Affect Disord 229:111-119
O'Connell, Chloe P; Goldstein-Piekarski, Andrea N; Nemeroff, Charles B et al. (2018) Antidepressant Outcomes Predicted by Genetic Variation in Corticotropin-Releasing Hormone Binding Protein. Am J Psychiatry 175:251-261
Berg, Joanna M; Kennedy, Jamie C; Dunlop, Boadie W et al. (2017) The Structure of Personality Disorders within a Depressed Sample: Implications for Personalizing Treatment. Pers Med Psychiatry 1-2:59-64
Ramirez-Mahaluf, Juan P; Roxin, Alexander; Mayberg, Helen S et al. (2017) A Computational Model of Major Depression: the Role of Glutamate Dysfunction on Cingulo-Frontal Network Dynamics. Cereb Cortex 27:660-679
Dunlop, Boadie W; Rajendra, Justin K; Craighead, W Edward et al. (2017) Functional Connectivity of the Subcallosal Cingulate Cortex And Differential Outcomes to Treatment With Cognitive-Behavioral Therapy or Antidepressant Medication for Major Depressive Disorder. Am J Psychiatry 174:533-545
Dunlop, Boadie W; Kelley, Mary E; Aponte-Rivera, Vivianne et al. (2017) Effects of Patient Preferences on Outcomes in the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) Study. Am J Psychiatry 174:546-556
Drysdale, Andrew T; Grosenick, Logan; Downar, Jonathan et al. (2017) Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nat Med 23:28-38

Showing the most recent 10 out of 41 publications