Autosomal dominant polycystic kidney disease (ADPKD) is a major cause of disabling morbidity and is the fourth leading cause of end-stage renal failure in the world, affecting more than 500,000 U.S. citizens and millions more worldwide. Researchers at the University of Alabama, Emory University, University of Kansas, Mayo Clinic and Washington University St. Louis joined together in 2000 to create the Consortium for Radiologic Studies of Polycystic Kidney Disease (CRISP-I). The primary objectives of this investigation were to: (1) Develop and test the accuracy and reproducibility of imaging techniques to monitor changes in renal cyst size and parenchymal involvement. (2) Establish and maintain a database of uniformly and accurately collected information. (3) Maintain and make available such data to facilitate the planning and implementation of clinically appropriate interventions in the near future. The goals of CRISP-I I are to extend the observations of CRISPI in order to: 1) Draw unequivocal linkage between the rate of kidney/cyst enlargement and qualitative and quantitative end-points. 2) Provide a marker of disease progression (kidney volume) sensitive and accurate enough to be used as a primary outcome marker in clinical trials aiming to forestall disease progression. 3) Develop and test other bio-markers of disease progression.
The specific aims are:
Aim 1 : Extend the preliminary observations of CRISP-I to ascertain the extent to which quantitative (kidney volume and hepatic and kidney cyst volume) or qualitative (cyst distribution and character) structural parameters predict renal insufficiency.
Aim 2 : Extend the preliminary observations of CRISP-I to ascertain the extent to which age and sex-adjusted measurements of renal blood flow by MR technology predict the rate of renal growth; and, renal blood flow and kidney volume predict the rate of renal function decline in ADPKD.
Aim 3 : Exhaustively analyze the living database and stored biologic samples derived from CRISP-I and the CRISP-II extension to develop and test new metrics to quantify and monitor disease progression, and collect DMA samples and clinical information from CRISP family members known to have ADPKD for use in future studies to examine genotype-phenotype correlations and to identify genetic modifiers. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project--Cooperative Agreements (U01)
Project #
2U01DK056956-06
Application #
7037932
Study Section
Special Emphasis Panel (ZDK1-GRB-G (O1))
Program Officer
Flessner, Michael Francis
Project Start
2000-02-01
Project End
2010-12-31
Budget Start
2006-05-01
Budget End
2006-12-31
Support Year
6
Fiscal Year
2006
Total Cost
$238,652
Indirect Cost
Name
Emory University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322
Yu, Alan S L; Shen, Chengli; Landsittel, Douglas P et al. (2018) Baseline total kidney volume and the rate of kidney growth are associated with chronic kidney disease progression in Autosomal Dominant Polycystic Kidney Disease. Kidney Int 93:691-699
Cornec-Le Gall, Emilie; Olson, Rory J; Besse, Whitney et al. (2018) Monoallelic Mutations to DNAJB11 Cause Atypical Autosomal-Dominant Polycystic Kidney Disease. Am J Hum Genet 102:832-844
Wynne, Brandi M; McCarthy, Cameron G; Szasz, Theodora et al. (2018) Protein kinase C? deletion causes hypotension and decreased vascular contractility. J Hypertens 36:510-519
McKenzie, Katelyn A; El Ters, Mirelle; Torres, Vicente E et al. (2018) Relationship between caffeine intake and autosomal dominant polycystic kidney disease progression: a retrospective analysis using the CRISP cohort. BMC Nephrol 19:378
Perrone, Ronald D; Mouksassi, Mohamad-Samer; Romero, Klaus et al. (2017) Total Kidney Volume Is a Prognostic Biomarker of Renal Function Decline and Progression to End-Stage Renal Disease in Patients With Autosomal Dominant Polycystic Kidney Disease. Kidney Int Rep 2:442-450
Shen, Chengli; Landsittel, Douglas; Irazabal, María V et al. (2017) Performance of the CKD-EPI Equation to Estimate GFR in a Longitudinal Study of Autosomal Dominant Polycystic Kidney Disease. Am J Kidney Dis 69:482-484
Kline, Timothy L; Korfiatis, Panagiotis; Edwards, Marie E et al. (2017) Image texture features predict renal function decline in patients with autosomal dominant polycystic kidney disease. Kidney Int 92:1206-1216
Torres, Vicente E; Abebe, Kaleab Z; Schrier, Robert W et al. (2017) Dietary salt restriction is beneficial to the management of autosomal dominant polycystic kidney disease. Kidney Int 91:493-500
Perrone, Ronald D; Mouksassi, Mohamad-Samer; Romero, Klaus et al. (2017) A Drug Development Tool for Trial Enrichment in Patients With Autosomal Dominant Polycystic Kidney Disease. Kidney Int Rep 2:451-460
Kim, Youngwoo; Bae, Sonu K; Cheng, Tianming et al. (2016) Automated segmentation of liver and liver cysts from bounded abdominal MR images in patients with autosomal dominant polycystic kidney disease. Phys Med Biol 61:7864-7880

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