Literature DB >> 19543057

Urinary Peptide patterns in native kidneys and kidney allografts.

Yan Zhang1, William S Oetting, Stephen B Harvey, Matthew D Stone, Teresa Monkkonen, Arthur J Matas, Fernando G Cosio, Gary L Nelsestuen.   

Abstract

BACKGROUND: The use of biopsies to determine kidney health after kidney transplantation is an invasive procedure with some risk to the patient. Consequently, a noninvasive test for transplanted kidney health would provide a significant advantage over current clinical practice.
METHODS: Urines from kidney donors before nephrectomy, pretransplant patients with native kidney disease, and posttransplant kidney recipients were examined for protein biomarkers to diagnose or prognose kidney disease. Proteins were extracted by C4 reverse phase affinity and analyzed by matrix assisted laser desorption/ionization time-of-flight mass spectrometry.
RESULTS: Urine from individuals with healthy kidneys showed few components other than two ubiquitous saposin B glycoisoforms. Patients with kidney disease lacked saposin B and showed new components in two patterns: the most common contained beta-2 microglobulin (B2M, m/z=11,732) plus one or more peaks at m/z=10,350, 9480, 4337, and 4180. Pattern 2 lacked beta-2 microglobulin but contained several degradation products of alpha-1 antitrypsin. Other pathologic components included urinary protein 1 (m/z=15,835), transthyretin (m/z=13,880), and a component at m/z=13,350.
CONCLUSIONS: Patients with acute rejection showed profiles that ranged from those of kidney donors to those of advanced kidney disease. The range of patterns may be useful for analysis of transplant patients without complications and persons with developing kidney disease before or after transplant.

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Year:  2009        PMID: 19543057      PMCID: PMC3628615          DOI: 10.1097/TP.0b013e3181a66595

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  25 in total

1.  Cerebroside sulfate activator protein (Saposin B): chromatographic and electrospray mass spectrometric properties.

Authors:  K F Faull; J P Whitelegge; J Higginson; T To; J Johnson; A N Krutchinsky; K G Standing; A J Waring; R L Stevens; C B Fluharty; A L Fluharty
Journal:  J Mass Spectrom       Date:  1999-10       Impact factor: 1.982

2.  Characterization of renal allograft rejection by urinary proteomic analysis.

Authors:  William Clarke; Benjamin C Silverman; Zhen Zhang; Daniel W Chan; Andrew S Klein; Ernesto P Molmenti
Journal:  Ann Surg       Date:  2003-05       Impact factor: 12.969

3.  Proteomic-based identification of cleaved urinary beta2-microglobulin as a potential marker for acute tubular injury in renal allografts.

Authors:  Stefan Schaub; John A Wilkins; Mihaela Antonovici; Oleg Krokhin; Tracey Weiler; David Rush; Peter Nickerson
Journal:  Am J Transplant       Date:  2005-04       Impact factor: 8.086

Review 4.  Biomarker discovery for kidney diseases by mass spectrometry.

Authors:  Toshimitsu Niwa
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2007-11-01       Impact factor: 3.205

5.  Signal in noise: evaluating reported reproducibility of serum proteomic tests for ovarian cancer.

Authors:  Keith A Baggerly; Jeffrey S Morris; Sarah R Edmonson; Kevin R Coombes
Journal:  J Natl Cancer Inst       Date:  2005-02-16       Impact factor: 13.506

6.  Serum proteomic patterns for detection of prostate cancer.

Authors:  Emanuel F Petricoin; David K Ornstein; Cloud P Paweletz; Ali Ardekani; Paul S Hackett; Ben A Hitt; Alfredo Velassco; Christian Trucco; Laura Wiegand; Kamillah Wood; Charles B Simone; Peter J Levine; W Marston Linehan; Michael R Emmert-Buck; Seth M Steinberg; Elise C Kohn; Lance A Liotta
Journal:  J Natl Cancer Inst       Date:  2002-10-16       Impact factor: 13.506

7.  Preparation of the cerebroside sulfate activator (CSAct or saposin B) from human urine.

Authors:  A L Fluharty; C Lombardo; A Louis; R L Stevens; J Whitelegge; A J Waring; T To; C B Fluharty; K F Faull
Journal:  Mol Genet Metab       Date:  1999-11       Impact factor: 4.797

8.  Bioinformatic analysis of the urine proteome of acute allograft rejection.

Authors:  Edmond O'Riordan; Tatyana N Orlova; Jianfeng Mei J; Khalid Butt; Praveen M Chander; Shafiq Rahman; Muong Mya; Rena Hu; Jahangir Momin; Elizabeth W Eng; Dierk J Hampel; Bertram Hartman; Matthias Kretzler; Veronica Delaney; Michael S Goligorsky
Journal:  J Am Soc Nephrol       Date:  2004-12       Impact factor: 10.121

9.  Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments.

Authors:  Keith A Baggerly; Jeffrey S Morris; Kevin R Coombes
Journal:  Bioinformatics       Date:  2004-01-29       Impact factor: 6.937

10.  Proteomic-based detection of urine proteins associated with acute renal allograft rejection.

Authors:  Stefan Schaub; David Rush; John Wilkins; Ian W Gibson; Tracey Weiler; Kevin Sangster; Lindsay Nicolle; Martin Karpinski; John Jeffery; Peter Nickerson
Journal:  J Am Soc Nephrol       Date:  2004-01       Impact factor: 10.121

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  4 in total

Review 1.  Detecting adaptive immunity: applications in transplantation monitoring.

Authors:  Georg A Böhmig; Markus Wahrmann; Marcus D Säemann
Journal:  Mol Diagn Ther       Date:  2010-02-01       Impact factor: 4.074

Review 2.  Proteomics for rejection diagnosis in renal transplant patients: Where are we now?

Authors:  Wilfried Gwinner; Jochen Metzger; Holger Husi; David Marx
Journal:  World J Transplant       Date:  2016-03-24

Review 3.  Rediscovering Beta-2 Microglobulin As a Biomarker across the Spectrum of Kidney Diseases.

Authors:  Christos P Argyropoulos; Shan Shan Chen; Yue-Harn Ng; Maria-Eleni Roumelioti; Kamran Shaffi; Pooja P Singh; Antonios H Tzamaloukas
Journal:  Front Med (Lausanne)       Date:  2017-06-15

4.  Urine proteome analysis by C18 plate-matrix-assisted laser desorption/ionization time-of-flight mass spectrometry allows noninvasive differential diagnosis and prediction of diabetic nephropathy.

Authors:  Chao-Jung Chen; Wen-Ling Liao; Chiz-Tzung Chang; Hsin-Yi Liao; Fuu-Jen Tsai
Journal:  PLoS One       Date:  2018-07-19       Impact factor: 3.240

  4 in total

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