The overall goals of the Mayo Clinic Urology O'Brien Research Center are to develop new diagnostic strategies in order to accurately phenotype patients and thus apply improved individualized management strategies. We will pursue these goals via 4 interlinked multidisciplinary projects. Important and timely aims of the Mayo Clinic O'Brien Urology Research Center include: 1) Develop and validate a comprehensive low-dose stone-characterization exam using clinical dual-energy CT techniques in order to predict stone fragility, and to develop new CT methods capable of detecting the earliest possible precursor lesions. 2) Determine factors that produce NL precursor lesions including Randall's plaques and tubular plugs. 3) Define specific factors that increase the risk of kidney stones and their recurrence, and develop clinical prediction tools to help clinicians identify high-risk patients. 4) Define environmental and genetic factors that influence oxalate transport and crystallization in a novel high throughput Drosophila model The Administrative Core will oversee Center operations and serve as the interface between the Center and the N.I.H as well as the Mayo Clinic administrative structure. Specific responsibilities of the Core include: 1) Coordinating monthly Executive Committee meetings 2) Monitoring financial performance and progress of each project and core 3) Coordinating the education enrichment program 4) Coordinating the Mayo-funded Pilot program and grooming Pilots for submission to the Opportunity Pool 5) Coordinating the Annual Retreat and O'Brien Center review. These functions will be conducted by a Director, 3 Associate Directors, and a Research Operations Coordinator.

Public Health Relevance

Research completed via this O'Brien Urology Research Center will improve our understanding of kidney stone disease and improve clinical care of patients with nephrolithiasis. The Administrative Core will monitor progress of the Center and assure that these goals are met.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54DK100227-02
Application #
8734908
Study Section
Special Emphasis Panel (ZDK1-GRB-9)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
2
Fiscal Year
2014
Total Cost
$57,271
Indirect Cost
$21,251
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
Ferrero, A; Gutjahr, R; Henning, A et al. (2017) Renal Stone Characterization using High Resolution Imaging Mode on a Photon Counting Detector CT System. Proc SPIE Int Soc Opt Eng 10132:
Huang, Alice E; Montoya, Juan C; Shiung, Maria et al. (2017) Consistency of Renal Stone Volume Measurements Across CT Scanner Model and Reconstruction Algorithm Configurations. AJR Am J Roentgenol 209:116-121
Perinpam, Majuran; Enders, Felicity T; Mara, Kristin C et al. (2017) Plasma oxalate in relation to eGFR in patients with primary hyperoxaluria, enteric hyperoxaluria and urinary stone disease. Clin Biochem 50:1014-1019
Rossano, Adam J; Romero, Michael F (2017) Optical Quantification of Intracellular pH in Drosophila melanogaster Malpighian Tubule Epithelia with a Fluorescent Genetically-encoded pH Indicator. J Vis Exp :
Lieske, John C (2017) Probiotics for prevention of urinary stones. Ann Transl Med 5:29
Ferrero, Andrea; Chen, Baiyu; Li, Zhoubo et al. (2017) Technical Note: Insertion of digital lesions in the projection domain for dual-source, dual-energy CT. Med Phys 44:1655-1660
Pottel, Hans; Dubourg, Laurence; Schaeffner, Elke et al. (2017) Data on the relation between renal biomarkers and measured glomerular filtration rate. Data Brief 14:763-772
Kittanamongkolchai, Wonngarm; Mara, Kristin C; Mehta, Ramila A et al. (2017) Risk of Hypertension among First-Time Symptomatic Kidney Stone Formers. Clin J Am Soc Nephrol 12:476-482
Gutjahr, R; Polster, C; Henning, A et al. (2017) Dual Energy CT Kidney Stone Differentiation in Photon Counting Computed Tomography. Proc SPIE Int Soc Opt Eng 10132:
Canales, Benjamin K; Smith, Jennifer A; Weiner, I David et al. (2017) Polymorphisms in Renal Ammonia Metabolism Genes Correlate With 24-Hour Urine pH. Kidney Int Rep 2:1111-1121

Showing the most recent 10 out of 85 publications