This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The purpose of this collaborative, multi-site (King-Drew Medical Center, Harbor-UCLA Medical Center and Cedars-Sinai Medical Center) study is to examine the predective value of genetic polymorphism in 200 African American and 200 Caucasina subject who meet DSM-IV criteria for major depression when treated with the antidepressant citolopram (CIT). Recent advances in molecular biology and pharmacogenetics have contributed substantially to the understanding of the genetic control of the pharmacogenetics of the cytochrome P-450 enzymes, as well as the neurotransmitter transporters (therapeutic targets of most antidepressants), tools are now available to enable us to systematically response (kalow, 1992; Lin et al., 1993). In order to pursue these goals, this application proposes to contuct a prospective clinical trail of the safety and efficacy of citalopram (Celexa) (CIT), which is the most selective serotonin reuptake inhibitor (SSRI) that is currently available on the U.S. market (Stahl, 1998). CIT biotransformation is mediated pimarilty by CYP2C19 (Catterson & Preskorn, 1996).

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Exploratory Grants (P20)
Project #
5P20RR011145-12
Application #
7381048
Study Section
National Center for Research Resources Initial Review Group (RIRG)
Project Start
2006-09-01
Project End
2007-08-31
Budget Start
2006-09-01
Budget End
2007-08-31
Support Year
12
Fiscal Year
2006
Total Cost
$39,421
Indirect Cost
Name
Charles R. Drew University of Medicine & Science
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
785877408
City
Los Angeles
State
CA
Country
United States
Zip Code
90059
Grams, Morgan E; Sang, Yingying; Ballew, Shoshana H et al. (2018) Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate. Kidney Int 93:1442-1451
Inker, Lesley A; Grams, Morgan E; Levey, Andrew S et al. (2018) Relationship of Estimated GFR and Albuminuria to Concurrent Laboratory Abnormalities: An Individual Participant Data Meta-analysis in a Global Consortium. Am J Kidney Dis :
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Liang, Su; Bian, Xiaomei; Liang, Dong et al. (2016) Solution formulation development and efficacy of MJC13 in a preclinical model of castration-resistant prostate cancer. Pharm Dev Technol 21:121-6
Chen, Teresa K; Choi, Michael J; Kao, W H Linda et al. (2015) Examination of Potential Modifiers of the Association of APOL1 Alleles with CKD Progression. Clin J Am Soc Nephrol 10:2128-35
Chen, Teresa K; Estrella, Michelle M; Astor, Brad C et al. (2015) Longitudinal changes in hematocrit in hypertensive chronic kidney disease: results from the African-American Study of Kidney Disease and Hypertension (AASK). Nephrol Dial Transplant 30:1329-35
Chang, Alex; Greene, Tom H; Wang, Xuelei et al. (2015) The effects of weight change on glomerular filtration rate. Nephrol Dial Transplant 30:1870-7

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