Literature DB >> 11316862

Toward proteomics in uroscopy: urinary protein profiles after radiocontrast medium administration.

Dierk J Hampel1, Christine Sansome1, M A Sha2, Sergey Brodsky1, William E Lawson3, Michael S Goligorsky1,4.   

Abstract

Previous attempts to use urinary protein profiles for diagnostic purposes have been rather disappointing with respect to their clinical validity, in part because of the insufficient reproducibility, sensitivity, and rapidity of available techniques. Therefore, a newly developed, high-throughput technique, namely surface-enhanced laser desorption/ionization (SELDI) ProteinChip array-time of flight mass spectrometry, was studied, to assess its applicability for protein profiling of urine and to exemplify its use for a group of patients receiving radiocontrast medium. Assessment of the accuracy, sensitivity, and reproducibility of SELDI in test urinary protein profiling was performed. Renal function was studied in 20 male Sprague-Dawley rats before and after intravenous administration of either 1.25 g/kg ioxilan (n = 10) or hypertonic saline solution (n = 10) as a control. Urine samples from 25 patients undergoing cardiac catheterization were obtained before, immediately after, and 6 to 12 h after the procedure. Administration of ioxilan to rats resulted in changes in the abundance of proteins of 9.9, 18.7, 21.0, and 66.3 kD. For patients, even in uncomplicated cases of radiocontrast medium infusion during cardiac catheterization, perturbations in the protein composition occurred but returned to baseline values after 6 to 12 h. Proteins with molecular masses of 9.75, 11.75, 23.5, and 66.4 kD changed in abundance. For patients with impaired renal function, these changes were not reversible within 6 to 12 h. As a proof of principle, one of the peaks, i.e., that at 11.75 kD, was identified as beta(2)-microglobulin. SELDI is a promising tool for the detection, identification, and characterization of trace amounts of proteins in urine. Even for patients without renal complications, proteins with a broad range of molecular masses either appear in or disappear from the urine. Some of these might represent markers of impending nephropathy.

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Year:  2001        PMID: 11316862     DOI: 10.1681/ASN.V1251026

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  7 in total

1.  Biomarkers of lupus nephritis determined by serial urine proteomics.

Authors:  Xiaolan Zhang; Ming Jin; Haifeng Wu; Tibor Nadasdy; Gyongyi Nadasdy; Nathan Harris; Kari Green-Church; Haikady Nagaraja; Daniel J Birmingham; Chack-Yung Yu; Lee A Hebert; Brad H Rovin
Journal:  Kidney Int       Date:  2008-07-02       Impact factor: 10.612

2.  Urinary proteomic analysis of chronic allograft nephropathy.

Authors:  Edmond O'Riordan; Tatyana N Orlova; Natalia Mendelev; Daniel Patschan; Rowena Kemp; Praveen N Chander; Rena Hu; Gang Hao; Steven S Gross; Renato V Iozzo; Veronica Delaney; Michael S Goligorsky
Journal:  Proteomics Clin Appl       Date:  2008-07       Impact factor: 3.494

3.  Prediction of urinary protein markers in lupus nephritis.

Authors:  Jim C Oates; Sanju Varghese; Alison M Bland; Timothy P Taylor; Sally E Self; Romesh Stanislaus; Jonas S Almeida; John M Arthur
Journal:  Kidney Int       Date:  2005-12       Impact factor: 10.612

4.  NGAL is an early predictive biomarker of contrast-induced nephropathy in children.

Authors:  Russel Hirsch; Catherine Dent; Holly Pfriem; Janene Allen; Robert H Beekman; Qing Ma; Sudha Dastrala; Michael Bennett; Mark Mitsnefes; Prasad Devarajan
Journal:  Pediatr Nephrol       Date:  2007-09-14       Impact factor: 3.714

5.  Mass spectrometry-based proteomics in Chest Medicine, Gerontology, and Nephrology: subgroups omics for personalized medicine.

Authors:  Shih-Yi Lin; Wu-Huei Hsu; Cheng-Chieh Lin; Chao-Jung Chen
Journal:  Biomedicine (Taipei)       Date:  2014-11-13

6.  Proteomic profiling of nephrotic syndrome in serum using magnetic bead based sample fractionation & MALDI-TOF MS.

Authors:  Weiguo Sui; Yong Dai; Yue Zhang; Jiejing Chen; Huaying Liu; He Huang
Journal:  Indian J Med Res       Date:  2012-03       Impact factor: 2.375

7.  12. The Urinary Proteomics: A Tool to Discover New and Potent Biomarkers for Kidney Damage.

Authors:  Hassan Dihazi
Journal:  EJIFCC       Date:  2009-04-20
  7 in total

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