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. This proposal is highly responsive to the O'Brien Urology Research Center RFA bringing together truly multidisciplinary group of experienced clinicians and basic scientists to conduct translational research. Each project is multidisciplinary, and clinical, translational and basic research is each well represented. Further, all projects have clear clinical relevance and will impact our understanding of nephrolithiasis and our ability to care for patients. The Mayo Clinic has a unique collection of resources such as the Rochester Epidemiology Project;funded laboratories with expertise in genetics, proteomics and transport physiology;large patient volumes;and the CT Imaging Innovation Center which can be applied to this common yet understudied disorder. Through this O'Brien Center, existing clinical and basic science expertise in urology, nephrology, radiology, epidemiology, genetics and physiology will work in synergy to foster rapid progress.
Research completed via this O'Brien Urology Research Center will improve our ability to detect and monitor kidney stones, and increase knowledge of the biology of their development including the molecular mechanisms of oxalate transport. Studies will also address the epidemiology of kidney stones and factors that make them recur. Results will improve clinical care of patients with nephrolithiasis.
|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