Literature DB >> 28797473

Biomarker research to improve clinical outcomes of peritoneal dialysis: consensus of the European Training and Research in Peritoneal Dialysis (EuTRiPD) network.

Christoph Aufricht1, Robert Beelen2, Matthias Eberl3, Michel Fischbach4, Donald Fraser3, Achim Jörres5, Klaus Kratochwill6, Manuel LópezCabrera7, Peter Rutherford8, Claus-Peter Schmitt9, Nicholas Topley3, Janusz Witowski10.   

Abstract

Peritoneal dialysis (PD) therapy substantially requires biomarkers as tools to identify patients who are at the highest risk for PD-related complications and to guide personalized interventions that may improve clinical outcome in the individual patient. In this consensus article, members of the European Training and Research in Peritoneal Dialysis Network (EuTRiPD) review the current status of biomarker research in PD and suggest a selection of biomarkers that can be relevant to the care of PD patients and that are directly accessible in PD effluents. Currently used biomarkers such as interleukin-6, interleukin-8, ex vivo-stimulated interleukin-6 release, cancer antigen-125, and advanced oxidation protein products that were collected through a Delphi procedure were first triaged for inclusion as surrogate endpoints in a clinical trial. Next, novel biomarkers were selected as promising candidates for proof-of-concept studies and were differentiated into inflammation signatures (including interleukin-17, M1/M2 macrophages, and regulatory T cell/T helper 17), mesothelial-to-mesenchymal transition signatures (including microRNA-21 and microRNA-31), and signatures for senescence and inadequate cellular stress responses. Finally, the need for defining pathogen-specific immune fingerprints and phenotype-associated molecular signatures utilizing effluents from the clinical cohorts of PD patients and "omics" technologies and bioinformatics-biostatistics in future joint-research efforts was expressed. Biomarker research in PD offers the potential to develop valuable tools for improving patient management. However, for all biomarkers discussed in this consensus article, the association of biological rationales with relevant clinical outcomes remains to be rigorously validated in adequately powered, prospective, independent clinical studies.
Copyright © 2017 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  epithelial–mesenchymal transition; peritonitis; proteomics; renal replacement therapy; surrogate markers; ultrafiltration failure

Mesh:

Substances:

Year:  2017        PMID: 28797473     DOI: 10.1016/j.kint.2017.02.037

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


  21 in total

1.  An international Delphi survey helped develop consensus-based core outcome domains for trials in peritoneal dialysis.

Authors:  Karine E Manera; Allison Tong; Jonathan C Craig; Jenny Shen; Shilpa Jesudason; Yeoungjee Cho; Benedicte Sautenet; Armando Teixeira-Pinto; Martin Howell; Angela Yee-Moon Wang; Edwina A Brown; Gillian Brunier; Jeffrey Perl; Jie Dong; Martin Wilkie; Rajnish Mehrotra; Roberto Pecoits-Filho; Saraladevi Naicker; Tony Dunning; Nicole Scholes-Robertson; David W Johnson
Journal:  Kidney Int       Date:  2019-03-29       Impact factor: 10.612

2.  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 3.  Unconventional T cells and kidney disease.

Authors:  Hannah Kaminski; Lionel Couzi; Matthias Eberl
Journal:  Nat Rev Nephrol       Date:  2021-08-26       Impact factor: 28.314

Review 4.  Fibrosis of Peritoneal Membrane as Target of New Therapies in Peritoneal Dialysis.

Authors:  Valentina Masola; Mario Bonomini; Silvio Borrelli; Lorenzo Di Liberato; Luigi Vecchi; Maurizio Onisto; Giovanni Gambaro; Roberto Palumbo; Arduino Arduini
Journal:  Int J Mol Sci       Date:  2022-04-27       Impact factor: 6.208

5.  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

6.  Functional and Transcriptomic Characterization of Peritoneal Immune-Modulation by Addition of Alanyl-Glutamine to Dialysis Fluid.

Authors:  Rebecca Herzog; Lilian Kuster; Julia Becker; Tobias Gluexam; Dietmar Pils; Andreas Spittler; Manoj K Bhasin; Seth L Alper; Andreas Vychytil; Christoph Aufricht; Klaus Kratochwill
Journal:  Sci Rep       Date:  2017-07-24       Impact factor: 4.379

7.  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

8.  Prominent Levels of the Profibrotic Chemokine CCL18 during Peritonitis: In Vitro Downregulation by Vitamin D Receptor Agonists.

Authors:  Marta Ossorio; Virginia Martínez; Maria-Auxiliadora Bajo; Gloria Del Peso; Maria-José Castro; Sara Romero; Rafael Selgas; Teresa Bellón
Journal:  Biomed Res Int       Date:  2018-04-04       Impact factor: 3.411

9.  Vibrational Spectroscopy of Peritoneal Dialysis Effluent for Rapid Assessment of Patient Characteristics.

Authors:  Tom Grunert; Rebecca Herzog; Florian M Wiesenhofer; Andreas Vychytil; Monika Ehling-Schulz; Klaus Kratochwill
Journal:  Biomolecules       Date:  2020-06-26

Review 10.  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

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