The candidate, Joseph P. Kitzmiller MD, PhD is a Clinical Pharmacology Physician at the Ohio State University Medical Center. Through this award he seeks to become an independent investigator in patient-oriented research, with a focus on pharmacogenomics as applied to personalized medicine. Specifically, he will focus on developing a comprehensive and adaptable multi-gene model for predicting how individual patients respond to statin therapy. Dr. Kitzmiller will be mentored by Dr. Wolfgang Sadee, a renowned expert in pharmacogenomics, and Dr. Rebecca Jackson, and internal medicine clinician and experienced translational researcher. Together with his mentors, both strongly connected with the NIH Pharmacogenomics Research Network (PGRN) and the NIH Clinical and Translational Science Consortium (CSTC), Dr. Kitzmiller will investigatey the influence of various genetic factors on patient's response to statin medications. Importantly, atherosclerotic cardiovascular disease is a growing epidemic, associated with unacceptable mortality, morbidity, and cost. Dr. Kitzmiller's primary goal is to develop pharmacogenomic patient-selection strategies for improving statin efficacy and cost-effectiveness and for reducing the incidence of associated adverse effects. Dr. Kitzmiller will supplement his research activities with didactics in clinical trial design and conduct, epidemiology and outcomes research, biostatistics, and ethics. In addition, he will gain ground-breaking experience in both pharmacogenomics and pharmacoanalytic techniques.
The mission of all NIH-funded research is the improvement of this nation's health, and the career development and research plan in this mentored award application address this mission by providing support for training in both pharmacogenomic research and translational science methodology. The overall goal of pharmacogenomic personalized medicine is to improve the understanding of how genetic factors influence individual patient response to medication. By supporting the training efforts of tomorrow's leaders in translational pharmacogenomics, the NIH promotes the development of research aimed at improving the efficacy and cost-effectiveness (as well as reducing adverse effects) of pharmacotherapies. This initiative has substantial potential for improving the nation's health.
|Sardo, Christine L; Kitzmiller, Joseph P; Apseloff, Glen et al. (2016) An Open-Label Randomized Crossover Trial of Lyophilized Black Raspberries on Postprandial Inflammation in Older Overweight Males: A Pilot Study. Am J Ther 23:e86-91|
|Luzum, Jasmine A; Kitzmiller, Joseph P; Isackson, Paul J et al. (2015) GATM polymorphism associated with the risk for statin-induced myopathy does not replicate in case-control analysis of 715 dyslipidemic individuals. Cell Metab 21:622-7|
|Luzum, Jasmine A; Theusch, Elizabeth; Taylor, Kent D et al. (2015) Individual and Combined Associations of Genetic Variants in CYP3A4, CYP3A5, and SLCO1B1 With Simvastatin and Simvastatin Acid Plasma Concentrations. J Cardiovasc Pharmacol 66:80-5|
|Wang, Jiang; Luzum, Jasmine A; Phelps, Mitch A et al. (2015) Liquid chromatography-tandem mass spectrometry assay for the simultaneous quantification of simvastatin, lovastatin, atorvastatin, and their major metabolites in human plasma. J Chromatogr B Analyt Technol Biomed Life Sci 983-984:18-25|
|Kitzmiller, Joseph P; Luzum, Jasmine A; Baldassarre, Damiano et al. (2014) CYP3A4*22 and CYP3A5*3 are associated with increased levels of plasma simvastatin concentrations in the cholesterol and pharmacogenetics study cohort. Pharmacogenet Genomics 24:486-91|
|Korbel, Lindsey; George, Mathew; Kitzmiller, Joseph (2014) Clinically relevant pharmacogenomic testing in pediatric practice. Clin Pediatr (Phila) 53:831-8|
|Talameh, Jasmine A; Kitzmiller, Joseph P (2014) Pharmacogenetics of Statin-Induced Myopathy: A Focused Review of the Clinical Translation of Pharmacokinetic Genetic Variants. J Pharmacogenomics Pharmacoproteomics 5:|
|Kitzmiller, Joseph Paul; Sullivan, Danielle M; Phelps, Mitchell A et al. (2013) CYP3A4/5 combined genotype analysis for predicting statin dose requirement for optimal lipid control. Drug Metabol Drug Interact 28:59-63|
|Kitzmiller, Joseph P; Binkley, Philip F; Pandey, Saurabh R et al. (2013) Statin pharmacogenomics: pursuing biomarkers for predicting clinical outcomes. Discov Med 16:45-51|
|Kitzmiller, Joseph P; Foraker, Randi E; Rose, Kathy M (2013) Lipid-lowering pharmacotherapy and socioeconomic status: Atherosclerosis Risk In Communities (ARIC) surveillance study. BMC Public Health 13:488|
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