Literature DB >> 28673451

A prospective, proteomics study identified potential biomarkers of encapsulating peritoneal sclerosis in peritoneal effluent.

Vasileios Zavvos1, Anthony T Buxton2, Caroline Evans3, Mark Lambie4, Simon J Davies4, Nicholas Topley5, Martin Wilkie2, Angela Summers6, Paul Brenchley6, Dimitrios S Goumenos7, Timothy S Johnson8.   

Abstract

Encapsulating peritoneal sclerosis (EPS) is a potentially devastating complication of peritoneal dialysis (PD). Diagnosis is often delayed due to the lack of effective and accurate diagnostic tools. We therefore examined peritoneal effluent for potential biomarkers that could predict or confirm the diagnosis of EPS and would be valuable in stratifying at-risk patients and driving appropriate interventions. Using prospectively collected samples from the Global Fluid Study and a cohort of Greek PD patients, we utilized 2D SDSPAGE/ MS and iTRAQ to identify changes in the peritoneal effluent proteome from patients diagnosed with EPS and controls matched for treatment exposure. We employed a combinatorial peptide ligand library to compress the dynamic range of protein concentrations to aid identification of low-abundance proteins. In patients with stable membrane function, fibrinogen γ-chain and heparan sulphate proteoglycan core protein progressively increased over time on PD. In patients who developed EPS, collagen-α1(I), γ-actin and Complement factors B and I were elevated up to five years prior to diagnosis. Orosomucoid-1 and a2-HS-glycoprotein chain-B were elevated about one year before diagnosis, while apolipoprotein A-IV and α1-antitrypsin were decreased compared to controls. Dynamic range compression resulted in an increased number of proteins detected with improved resolution of protein spots, compared to the full fluid proteome. Intelectin-1, dermatopontin, gelsolin, and retinol binding protein-4 were elevated in proteome-mined samples from patients with EPS compared to patients that had just commenced peritoneal dialysis. Thus, prospective analysis of peritoneal effluent uncovered proteins indicative of inflammatory and pro-fibrotic injury worthy of further evaluation as diagnostic/prognostic markers.
Copyright © 2017 International Society of Nephrology. All rights reserved.

Entities:  

Keywords:  biomarkers; encapsulating peritoneal sclerosis; peritoneal dialysis; proteomics

Mesh:

Substances:

Year:  2017        PMID: 28673451     DOI: 10.1016/j.kint.2017.03.030

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  10 in total

1.  Proteomic profiling of peritoneal dialysis effluent-derived extracellular vesicles: a longitudinal study.

Authors:  Laura Carreras-Planella; Jordi Soler-Majoral; Cristina Rubio-Esteve; Miriam Morón-Font; Marcella Franquesa; Jordi Bonal; Maria Isabel Troya-Saborido; Francesc E Borràs
Journal:  J Nephrol       Date:  2019-10-15       Impact factor: 3.902

Review 2.  Proteomics and Extracellular Vesicles as Novel Biomarker Sources in Peritoneal Dialysis in Children.

Authors:  Chiara Trincianti; Vincenzo Meleca; Edoardo La Porta; Maurizio Bruschi; Giovanni Candiano; Andrea Garbarino; Xhuliana Kajana; Alberto Preda; Francesca Lugani; Gian Marco Ghiggeri; Andrea Angeletti; Pasquale Esposito; Enrico Verrina
Journal:  Int J Mol Sci       Date:  2022-05-18       Impact factor: 6.208

3.  Soluble CD59 in peritoneal dialysis: a potential biomarker for peritoneal membrane function.

Authors:  Bernardo Faria; Mariana Gaya da Costa; Carla Lima; Loek Willems; Ricardo Brandwijk; Stefan P Berger; Mohamed R Daha; Manuel Pestana; Marc A Seelen; Felix Poppelaars
Journal:  J Nephrol       Date:  2020-12-11       Impact factor: 3.902

Review 4.  The Complement System in Dialysis: A Forgotten Story?

Authors:  Felix Poppelaars; Bernardo Faria; Mariana Gaya da Costa; Casper F M Franssen; Willem J van Son; Stefan P Berger; Mohamed R Daha; Marc A Seelen
Journal:  Front Immunol       Date:  2018-01-25       Impact factor: 7.561

5.  Effects of Alanyl-Glutamine Treatment on the Peritoneal Dialysis Effluent Proteome Reveal Pathomechanism-Associated Molecular Signatures.

Authors:  Rebecca Herzog; Michael Boehm; Markus Unterwurzacher; Anja Wagner; Katja Parapatics; Peter Májek; André C Mueller; Anton Lichtenauer; Keiryn L Bennett; Seth L Alper; Andreas Vychytil; Christoph Aufricht; Klaus Kratochwill
Journal:  Mol Cell Proteomics       Date:  2017-12-04       Impact factor: 5.911

6.  Increased miR-7641 Levels in Peritoneal Hyalinizing Vasculopathy in Long-Term Peritoneal Dialysis Patients.

Authors:  Raquel Díaz; Pilar Sandoval; Raul R Rodrigues-Diez; Gloria Del Peso; José A Jiménez-Heffernan; Ricardo Ramos-Ruíz; Carlos Llorens; Gustavo Laham; Mabel Alvarez-Quiroga; Manuel López-Cabrera; Marta Ruiz-Ortega; María A Bajo; Rafael Selgas
Journal:  Int J Mol Sci       Date:  2020-08-13       Impact factor: 5.923

7.  A Matrix Metalloproteinase-2-Based Nomogram to Assess the Risk of Encapsulating Peritoneal Sclerosis in Peritoneal Dialysis Patients.

Authors:  Che-Yi Chou; Chin-Chung Tseng; Jin-Bor Chen; Chin-Chuan Hung; Chiu-Ching Huang
Journal:  Biomed Res Int       Date:  2021-01-18       Impact factor: 3.411

8.  Expression of Fibrosis-Related Genes in Liver and Kidney Fibrosis in Comparison to Inflammatory Bowel Diseases.

Authors:  Miha Jerala; Nina Hauptman; Nika Kojc; Nina Zidar
Journal:  Cells       Date:  2022-01-18       Impact factor: 6.600

Review 9.  Proteomic Research in Peritoneal Dialysis.

Authors:  Mario Bonomini; Francesc E Borras; Maribel Troya-Saborido; Laura Carreras-Planella; Lorenzo Di Liberato; Arduino Arduini
Journal:  Int J Mol Sci       Date:  2020-07-31       Impact factor: 5.923

10.  [Standardized histomorphological processing of peritoneal biopsies as part of the German Peritoneal Biopsy Registry (GRIP, German registry in PD)].

Authors:  Frederick Pfister; Maike Büttner-Herold; Benno Kitsche; Dirk R Bulian; Jan Kielstein; Reinhard Wanninger; Gabriele Eden; Dominik Alscher; Michael Nebel; Vedat Schwenger; Kerstin Amann
Journal:  Pathologe       Date:  2020-11       Impact factor: 1.011

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.