The majority of patients with autosomal dominant polycystic kidney disease (ADPKD types 1 and 2) and autosomal recessive polycystic kidney disease (ARPKD) develop end-stage renal failure. Preliminary studies indicate an inverse correlation between the volume of cystic kidneys and their function reflected in the GFR. However, there is presently no way to determine early in the course if an individual with PKD is destined to experience renal failure in a normal life expectancy. To meet the objectives of the RFA we will develop a PCC to evaluate the following specific aims:
Aim 1. Assemble a cohort of individuals with well-characterized PKD (ADPKD) who are at relatively high risk to experience progression to end-stage-renal disease (ESRD). ADPKD subjects will be selected from the region who have one or more risk factors for progression, including: family history of ESRD, male gender, multiple pregnancies, hypertension, proteinuria and hematuria. ARPKD subjects will be selected primarily from those who have survived without dialysis beyond the first year of life.
Aim 2. Compare and evaluate the accuracy and reproducibility of renal images obtained by rapid acquisition MR, ultrasound and CT in representative examples of PKD. These studies will be done in phantom models of cystic kidney in order to determine optimum precision and accuracy of each method in comparison to the other, and in selected patients with renal cystic changes ranging from mild to severe. PKD subjects will then be studied serially as outlined in the next aim.
Aim 3. Evaluate sequential changes in renal morphometrics in subjects with PKD in relation to other surrogate markers for progressive disease. Subjects will be imaged at predefined intervals in order to determine: a) The rate of change in total kidney volume, total cyst volume and total parenchymal volume; b) The rate of change of """"""""functional"""""""" parenchymal volume; c) The rate of change of individual cyst volume; d) The intra- renal distribution of cysts in relation to progression factors; e) Changes in the expression of surrogate markers of disease progression in relation to renal enlargement and parenchyma volume, and ; f) the relation of cyst growth to hypotheses of intra-cyst fluid accumulation. Successful completion of these studies will identify clinically reliable methods for determining the rate of progression of PKD before there are measurable changes in GFR and irreversible changes in renal ultra- structure.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01DK056943-03
Application #
6476235
Study Section
Special Emphasis Panel (ZDK1-GRB-7 (O1))
Program Officer
Flessner, Michael Francis
Project Start
2000-02-01
Project End
2004-11-30
Budget Start
2001-12-01
Budget End
2002-11-30
Support Year
3
Fiscal Year
2002
Total Cost
$484,283
Indirect Cost
Name
University of Kansas
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
016060860
City
Kansas City
State
KS
Country
United States
Zip Code
66160
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
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
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
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
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
Porath, Binu; Gainullin, Vladimir G; Cornec-Le Gall, Emilie et al. (2016) Mutations in GANAB, Encoding the Glucosidase II? Subunit, Cause Autosomal-Dominant Polycystic Kidney and Liver Disease. Am J Hum Genet 98:1193-1207
Heyer, Christina M; Sundsbak, Jamie L; Abebe, Kaleab Z et al. (2016) Predicted Mutation Strength of Nontruncating PKD1 Mutations Aids Genotype-Phenotype Correlations in Autosomal Dominant Polycystic Kidney Disease. J Am Soc Nephrol 27:2872-84
Kim, Youngwoo; Ge, Yinghui; Tao, Cheng et al. (2016) Automated Segmentation of Kidneys from MR Images in Patients with Autosomal Dominant Polycystic Kidney Disease. Clin J Am Soc Nephrol 11:576-84
Irazabal, María V; Rangel, Laureano J; Bergstralh, Eric J et al. (2015) Imaging classification of autosomal dominant polycystic kidney disease: a simple model for selecting patients for clinical trials. J Am Soc Nephrol 26:160-72

Showing the most recent 10 out of 27 publications