Literature DB >> 16372274

Establishment of a 2-D human urinary proteomic map in IgA nephropathy.

Mi-Ra Park1, Eun-Hui Wang, Dong-Chan Jin, Jung-Ho Cha, Kweon-Heang Lee, Chul-Woo Yang, Chang-Suk Kang, Yeong-Jin Choi.   

Abstract

Immunoglobulin A nephropathy (IgAN) is the most common form of immune complex-mediated glomerulonephritis worldwide. Although chronic renal failure develops in considerable numbers of IgAN patients, the exact etiology has not yet been clearly elucidated. To establish the urinary protein map of IgAN, we performed a urinary proteomic analysis. Thirteen patients with IgAN and 12 normal controls were recruited. Morning midstream spot urine samples were used with Centriprep ultrafiltration for concentration and desalting. 2-DE was performed and compared between IgAN and normal control, and urinary proteins were identified by MALDI-TOF MS. A large number of protein spots were identified in IgAN and normal control samples, with means of 311 spots and 174 spots, respectively. Approximately 216 protein spots were detected as differentially expressed in IgAN. Among these, 82 spots were over-expressed, and 134 spots were under-expressed compared to normal controls. A total of 84 differentially expressed spots, representing 59 different proteins, were finally identified in IgAN. We have established a urinary proteomic map of IgAN and this result helps in the identification. Further study is needed to determine the potential pathogenic role of these proteins.

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Year:  2006        PMID: 16372274     DOI: 10.1002/pmic.200500023

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  16 in total

Review 1.  Application of proteomic analysis to the study of renal diseases.

Authors:  Matthew P Welberry Smith; Rosamonde E Banks; Steven L Wood; Andrew J P Lewington; Peter J Selby
Journal:  Nat Rev Nephrol       Date:  2009-10-27       Impact factor: 28.314

Review 2.  The primary glomerulonephritides: a systems biology approach.

Authors:  Song Jiang; Peter Y Chuang; Zhi-Hong Liu; John C He
Journal:  Nat Rev Nephrol       Date:  2013-07-16       Impact factor: 28.314

3.  Urine biomarkers predict the cause of glomerular disease.

Authors:  Sanju A Varghese; T Brian Powell; Milos N Budisavljevic; Jim C Oates; John R Raymond; Jonas S Almeida; John M Arthur
Journal:  J Am Soc Nephrol       Date:  2007-02-14       Impact factor: 10.121

4.  Temporal stability of the urinary proteome after kidney transplant: more sensitive than protein composition?

Authors:  Sanjeev K Akkina; Yan Zhang; Gary L Nelsestuen; William S Oetting; Hassan N Ibrahlm
Journal:  J Proteome Res       Date:  2009-01       Impact factor: 4.466

Review 5.  Urine proteomics: the present and future of measuring urinary protein components in disease.

Authors:  Jonathan Barratt; Peter Topham
Journal:  CMAJ       Date:  2007-08-14       Impact factor: 8.262

6.  Sources of Urinary Proteins and their Analysis by Urinary Proteomics for the Detection of Biomarkers of Disease.

Authors:  Bruce A Julian; Hitoshi Suzuki; Yusuke Suzuki; Yasuhiko Tomino; Goce Spasovski; Jan Novak
Journal:  Proteomics Clin Appl       Date:  2009-08-26       Impact factor: 3.494

7.  Urinary protein selectivity in nephrotic syndrome and pregnancy: resurrection of a biomarker when renal biopsy is contraindicated.

Authors:  Patrick Hamilton; Jenny Myers; Joanna Gillham; Gwen Ayers; Nina Brown; Michael Venning
Journal:  Clin Kidney J       Date:  2014-10-01

8.  Poor histological lesions in IgA nephropathy may be reflected in blood and urine peptide profiling.

Authors:  Fredzzia Graterol; Maribel Navarro-Muñoz; Meritxell Ibernon; Dolores López; Maria-Isabel Troya; Vanessa Pérez; Josep Bonet; Ramón Romero
Journal:  BMC Nephrol       Date:  2013-04-11       Impact factor: 2.388

Review 9.  Urinary biomarkers of IgA nephropathy and other IgA-associated renal diseases.

Authors:  Bruce A Julian; Stefan Wittke; Marion Haubitz; Petra Zürbig; Eric Schiffer; Brendan M McGuire; Robert J Wyatt; Jan Novak
Journal:  World J Urol       Date:  2007-07-10       Impact factor: 3.661

10.  A prospective proteomic-based study for identifying potential biomarkers for the diagnosis of cholangiocarcinoma.

Authors:  Yuan Shi; Xiaxing Deng; Qian Zhan; Baiyong Shen; Xiaolong Jin; Zhecheng Zhu; Hao Chen; Hongwei Li; Chenghong Peng
Journal:  J Gastrointest Surg       Date:  2013-07-19       Impact factor: 3.452

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