Renal disease is difficult to detect, particularly in a form called acute renal failure. We are developing new methods to detect renal disease involving either MRI, or urine or blood tests. 1)Detection of proximal tubule damage in mice MRI using dendrimer gadolinium chelate nanoparticles. We found that Gadolinium nanoparticles accumulate in the proximal tubule, and can be used to detect renal structure, function, and injury. We have now used these methods to detect sepsis-acute renal failure, small renal cysts, and decreased cortical thickness seen in chronic renal disease. 2) Is inflammation involved in ARF? We can detect renal inflammation using MRI with ultra-small iron oxide particles (USPIO). Unfortunately, this method is not as sensitive as we would like. 3) Markers for early diagnosis. We are new using proteomic techniques to search for early biomarkers of sepsis-induced acute renal failure. We have a few excellent candidates that are being validated using our mouse and rat sepsis-acute renal failure models. 4) We developed an HPLC method that accurately measures creatinine in mouse serum.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Intramural Research (Z01)
Project #
1Z01DK043400-05
Application #
6983889
Study Section
(MDB)
Project Start
Project End
Budget Start
Budget End
Support Year
5
Fiscal Year
2004
Total Cost
Indirect Cost
Name
U.S. National Inst Diabetes/Digst/Kidney
Department
Type
DUNS #
City
State
Country
United States
Zip Code
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Zhou, Hua; Cheruvanky, Anita; Hu, Xuzhen et al. (2008) Urinary exosomal transcription factors, a new class of biomarkers for renal disease. Kidney Int 74:613-21
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Cheruvanky, Anita; Zhou, Hua; Pisitkun, Trairak et al. (2007) Rapid isolation of urinary exosomal biomarkers using a nanomembrane ultrafiltration concentrator. Am J Physiol Renal Physiol 292:F1657-61
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Zhou, H; Yuen, P S T; Pisitkun, T et al. (2006) Collection, storage, preservation, and normalization of human urinary exosomes for biomarker discovery. Kidney Int 69:1471-6
Holly, M K; Dear, J W; Hu, X et al. (2006) Biomarker and drug-target discovery using proteomics in a new rat model of sepsis-induced acute renal failure. Kidney Int 70:496-506
Zhou, H; Pisitkun, T; Aponte, A et al. (2006) Exosomal Fetuin-A identified by proteomics: a novel urinary biomarker for detecting acute kidney injury. Kidney Int 70:1847-57

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