Literature DB >> 14978167

Alterations in the renal elastin-elastase system in type 1 diabetic nephropathy identified by proteomic analysis.

Visith Thongboonkerd1, Michelle T Barati, Kenneth R McLeish, Charaf Benarafa, Eileen Remold-O'Donnell, Shirong Zheng, Brad H Rovin, William M Pierce, Paul N Epstein, Jon B Klein.   

Abstract

Diabetes now accounts for >40% of patients with ESRD. Despite significant progress in understanding diabetic nephropathy, the cellular mechanisms that lead to diabetes-induced renal damage are incompletely defined. For defining changes in protein expression that accompany diabetic nephropathy, the renal proteome of 120-d-old OVE26 transgenic mice with hypoinsulinemia, hyperglycemia, hyperlipidemia, and proteinuria were compared with those of background FVB nondiabetic mice (n = 5). Proteins derived from whole-kidney lysate were separated by two-dimensional PAGE and identified by matrix-assisted laser desorption ionization-time-of-flight (MALDI-TOF) mass spectrometry. Forty-one proteins from 300 visualized protein spots were differentially expressed in diabetic kidneys. Among these altered proteins, expression of monocyte/neutrophil elastase inhibitor was increased, whereas elastase IIIB was decreased, leading to the hypothesis that elastin expression would be increased in diabetic kidneys. Renal immunohistochemistry for elastin of 325-d-old FVB and OVE26 mice demonstrated marked accumulation of elastin in the macula densa, collecting ducts, and pelvicalyceal epithelia of diabetic kidneys. Elastin immunohistochemistry of human renal biopsies from patients with type 1 diabetes (n = 3) showed increased elastin expression in renal tubular cells and the interstitium but not glomeruli. These results suggest that coordinated changes in elastase inhibitor and elastase expression result in increased tubulointerstitial deposition of elastin in diabetic nephropathy. The identification of these coordinated changes in protein expression in diabetic nephropathy indicates the potential value of proteomic analysis in defining pathophysiology.

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Year:  2004        PMID: 14978167     DOI: 10.1097/01.asn.0000115334.65095.9b

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


  31 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

2.  A comparative proteomic study of nephrogenesis in intrauterine growth restriction.

Authors:  Qian Shen; Hong Xu; Li-Ming Wei; Jing Chen; Hai-Mei Liu; Wei Guo
Journal:  Pediatr Nephrol       Date:  2010-02-04       Impact factor: 3.714

3.  Elastin imaging enables noninvasive staging and treatment monitoring of kidney fibrosis.

Authors:  Qinxue Sun; Maike Baues; Barbara M Klinkhammer; Josef Ehling; Sonja Djudjaj; Natascha I Drude; Christoph Daniel; Kerstin Amann; Rafael Kramann; Hyojin Kim; Julio Saez-Rodriguez; Ralf Weiskirchen; David C Onthank; Rene M Botnar; Fabian Kiessling; Jürgen Floege; Twan Lammers; Peter Boor
Journal:  Sci Transl Med       Date:  2019-04-03       Impact factor: 17.956

4.  Differential expression of endoplasmic reticulum stress-response proteins in different renal tubule subtypes of OVE26 diabetic mice.

Authors:  Michelle T Barati; David W Powell; Bobak D Kechavarzi; Susan M Isaacs; Shirong Zheng; Paul N Epstein; Lu Cai; Susan Coventry; Madhavi J Rane; Jon B Klein
Journal:  Cell Stress Chaperones       Date:  2016-01       Impact factor: 3.667

5.  Combined proteomics and pathways analysis of collecting duct reveals a protein regulatory network activated in vasopressin escape.

Authors:  Ewout J Hoorn; Jason D Hoffert; Mark A Knepper
Journal:  J Am Soc Nephrol       Date:  2005-08-03       Impact factor: 10.121

6.  The association between mechanical and biochemical/histological characteristics in diabetic and non-diabetic plantar soft tissue.

Authors:  William R Ledoux; Shruti Pai; Jane B Shofer; Yak-Nam Wang
Journal:  J Biomech       Date:  2016-08-24       Impact factor: 2.712

7.  Quantitative mass spectrometry of diabetic kidney tubules identifies GRAP as a novel regulator of TGF-beta signaling.

Authors:  Timothy D Cummins; Michelle T Barati; Susan C Coventry; Sarah A Salyer; Jon B Klein; David W Powell
Journal:  Biochim Biophys Acta       Date:  2009-10-22

8.  Proteomic identification and immunolocalization of increased renal calbindin-D28k expression in OVE26 diabetic mice.

Authors:  Visith Thongboonkerd; Shirong Zheng; Kenneth R McLeish; Paul N Epstein; Jon B Klein
Journal:  Rev Diabet Stud       Date:  2005-05-10

Review 9.  Urinary Proteomics for Diagnosis and Monitoring of Diabetic Nephropathy.

Authors:  G Currie; C Delles
Journal:  Curr Diab Rep       Date:  2016-11       Impact factor: 4.810

Review 10.  Adapting mass spectrometry-based platforms for clinical proteomics applications: The capillary electrophoresis coupled mass spectrometry paradigm.

Authors:  Jochen Metzger; Peter B Luppa; David M Good; Harald Mischak
Journal:  Crit Rev Clin Lab Sci       Date:  2009       Impact factor: 6.250

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