56
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Urinary candidate biomarker discovery in a rat unilateral ureteral obstruction model

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Urine has the potential to become a better source of biomarkers. Urinary proteins are affected by many factors; therefore, differentiating between the variables associated with any particular pathophysiological condition in clinical samples is challenging. To circumvent these problems, simpler systems, such as animal models, should be used to establish a direct relationship between disease progression and urine changes. In this study, a unilateral ureteral obstruction (UUO) model was used to observe tubular injury and the eventual development of renal fibrosis, as well as to identify differential urinary proteins in this process. Urine samples were collected from the residuary ureter linked to the kidney at 1 and 3 weeks after UUO. Five hundred proteins were identified and quantified by LC-MS/MS, out of which 7 and 19 significantly changed in the UUO 1- and 3-week groups, respectively, compared with the sham-operation group. Validation by western blot showed increased levels of Alpha-actinin-1 and Moesin in the UUO 1-week group, indicating that they may serve as candidate biomarkers of renal tubular injury, and significantly increased levels of Vimentin, Annexin A1 and Clusterin in the UUO 3-week group, indicating that they may serve as candidate biomarkers of interstitial fibrosis.

          Related collections

          Most cited references43

          • Record: found
          • Abstract: found
          • Article: not found

          Comparison of label-free methods for quantifying human proteins by shotgun proteomics.

          Measurements of mass spectral peak intensities and spectral counts are promising methods for quantifying protein abundance changes in shotgun proteomic analyses. We describe Serac, software developed to evaluate the ability of each method to quantify relative changes in protein abundance. Dynamic range and linearity using a three-dimensional ion trap were tested using standard proteins spiked into a complex sample. Linearity and good agreement between observed versus expected protein ratios were obtained after normalization and background subtraction of peak area intensity measurements and correction of spectral counts to eliminate discontinuity in ratio estimates. Peak intensity values useful for protein quantitation ranged from 10(7) to 10(11) counts with no obvious saturation effect, and proteins in replicate samples showed variations of less than 2-fold within the 95% range (+/-2sigma) when >or=3 peptides/protein were shared between samples. Protein ratios were determined with high confidence from spectral counts when maximum spectral counts were >or=4 spectra/protein, and replicates showed equivalent measurements well within 95% confidence limits. In further tests, complex samples were separated by gel exclusion chromatography, quantifying changes in protein abundance between different fractions. Linear behavior of peak area intensity measurements was obtained for peptides from proteins in different fractions. Protein ratios determined by spectral counting agreed well with those determined from peak area intensity measurements, and both agreed with independent measurements based on gel staining intensities. Overall spectral counting proved to be a more sensitive method for detecting proteins that undergo changes in abundance, whereas peak area intensity measurements yielded more accurate estimates of protein ratios. Finally these methods were used to analyze differential changes in protein expression in human erythroleukemia K562 cells stimulated under conditions that promote cell differentiation by mitogen-activated protein kinase pathway activation. Protein changes identified with p<0.1 showed good correlations with parallel measurements of changes in mRNA expression.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Fibroblast activation and myofibroblast generation in obstructive nephropathy.

            Obstructive nephropathy is a major cause of renal failure, particularly in newborn babies and children. After urinary tract obstruction, and under the influence of mechanical forces and cytokines produced by tubular cells and cells that have infiltrated the interstitium, resident fibroblasts undergo activation and myofibroblasts are generated from bone-marrow-derived cells, pericytes and endothelial cells. In addition, selected tubular epithelial cells can become fibroblast-like cells via epithelial-mesenchymal transition. This transition is characterized by downregulation of epithelial marker proteins such as E-cadherin, zonula occludens 1 and cytokeratin; loss of cell-to-cell adhesion; upregulation of mesenchymal markers including vimentin, alpha-smooth muscle actin and fibroblast-specific protein 1; basement membrane degradation; and migration to the interstitial compartment. All the events of epithelial-mesenchymal transition are strictly regulated by complex signaling pathways. Myofibroblasts and activated fibroblasts proliferate and produce large amounts of extracellular matrix, which accumulates in the tubular interstitium; together with tubular atrophy, this accumulation leads to interstitial fibrosis. This Review examines the molecular mechanisms of fibroblast activation and epithelial-mesenchymal transition, processes that seem to be promising targets for the prevention, or even reversal, of interstitial fibrosis and renal dysfunction associated with obstructive nephropathy.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The origin of interstitial myofibroblasts in chronic kidney disease.

              Chronic kidney diseases (CKD), independent of their primary cause, lead to progressive, irreversible loss of functional renal parenchyma. Renal pathology in CKD is characterized by tubulointerstitial fibrosis with excessive matrix deposition produced by myofibroblasts. Because blocking the formation of these scar-forming cells represents a logical therapeutic target for patients with progressive fibrotic kidney disease, the origin of renal myofibroblasts is a subject of intense investigation. Although the traditional view holds that resident fibroblasts are the myofibroblast precursor, for the last 10 years, injured epithelial cells have been thought to directly contribute to the myofibroblast pool by the process of epithelial-to-mesenchymal transition (EMT). The recent application of genetic fate mapping techniques in mouse fibrosis models has provided new insights into the cell hierarchies in fibrotic kidney disease and results cast doubt on the concept that EMT is a source of myofibroblast recruitment in vivo, but rather point to the resident pericyte/perivascular fibroblast as the myofibroblast progenitor pool. This review will highlight recent findings arguing against EMT as a direct contributor to the kidney myofibroblast population and review the use of genetic fate mapping to elucidate the cellular mechanisms of kidney homeostasis and disease.
                Bookmark

                Author and article information

                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group
                2045-2322
                20 March 2015
                2015
                : 5
                : 9314
                Affiliations
                [1 ]Department of Pathophysiology, National Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College , Beijing, 100005, China
                [2 ]Department of Biochemistry and Molecular Biology, Beijing Normal University, Gene Engineering and Biotechnology Beijing Key Laboratory , Beijing, 100875, China
                Author notes
                Article
                srep09314
                10.1038/srep09314
                4366765
                25791774
                0fd218b0-0f6a-4f2a-a91e-62ba6f1d542f
                Copyright © 2015, Macmillan Publishers Limited. All rights reserved

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 17 October 2014
                : 26 February 2015
                Categories
                Article

                Uncategorized
                Uncategorized

                Comments

                Comment on this article