Cargando…

Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review

Noninvasive tools for diagnosis or prediction of acute kidney allograft rejection have been extensively investigated in recent years. Biochemical and molecular analyses of blood and urine provide a liquid biopsy that could offer new possibilities for rejection prevention, monitoring, and therefore,...

Descripción completa

Detalles Bibliográficos
Autores principales: Guzzi, Francesco, Cirillo, Luigi, Buti, Elisa, Becherucci, Francesca, Errichiello, Carmela, Roperto, Rosa Maria, Hunter, James P., Romagnani, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7555436/
https://www.ncbi.nlm.nih.gov/pubmed/32961825
http://dx.doi.org/10.3390/ijms21186889
_version_ 1783594007568318464
author Guzzi, Francesco
Cirillo, Luigi
Buti, Elisa
Becherucci, Francesca
Errichiello, Carmela
Roperto, Rosa Maria
Hunter, James P.
Romagnani, Paola
author_facet Guzzi, Francesco
Cirillo, Luigi
Buti, Elisa
Becherucci, Francesca
Errichiello, Carmela
Roperto, Rosa Maria
Hunter, James P.
Romagnani, Paola
author_sort Guzzi, Francesco
collection PubMed
description Noninvasive tools for diagnosis or prediction of acute kidney allograft rejection have been extensively investigated in recent years. Biochemical and molecular analyses of blood and urine provide a liquid biopsy that could offer new possibilities for rejection prevention, monitoring, and therefore, treatment. Nevertheless, these tools are not yet available for routine use in clinical practice. In this systematic review, MEDLINE was searched for articles assessing urinary biomarkers for diagnosis or prediction of kidney allograft acute rejection published in the last five years (from 1 January 2015 to 31 May 2020). This review follows the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Articles providing targeted or unbiased urine sample analysis for the diagnosis or prediction of both acute cellular and antibody-mediated kidney allograft rejection were included, analyzed, and graded for methodological quality with a particular focus on study design and diagnostic test accuracy measures. Urinary C-X-C motif chemokine ligands were the most promising and frequently studied biomarkers. The combination of precise diagnostic reference in training sets with accurate validation in real-life cohorts provided the most relevant results and exciting groundwork for future studies.
format Online
Article
Text
id pubmed-7555436
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-75554362020-10-19 Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review Guzzi, Francesco Cirillo, Luigi Buti, Elisa Becherucci, Francesca Errichiello, Carmela Roperto, Rosa Maria Hunter, James P. Romagnani, Paola Int J Mol Sci Review Noninvasive tools for diagnosis or prediction of acute kidney allograft rejection have been extensively investigated in recent years. Biochemical and molecular analyses of blood and urine provide a liquid biopsy that could offer new possibilities for rejection prevention, monitoring, and therefore, treatment. Nevertheless, these tools are not yet available for routine use in clinical practice. In this systematic review, MEDLINE was searched for articles assessing urinary biomarkers for diagnosis or prediction of kidney allograft acute rejection published in the last five years (from 1 January 2015 to 31 May 2020). This review follows the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Articles providing targeted or unbiased urine sample analysis for the diagnosis or prediction of both acute cellular and antibody-mediated kidney allograft rejection were included, analyzed, and graded for methodological quality with a particular focus on study design and diagnostic test accuracy measures. Urinary C-X-C motif chemokine ligands were the most promising and frequently studied biomarkers. The combination of precise diagnostic reference in training sets with accurate validation in real-life cohorts provided the most relevant results and exciting groundwork for future studies. MDPI 2020-09-19 /pmc/articles/PMC7555436/ /pubmed/32961825 http://dx.doi.org/10.3390/ijms21186889 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Guzzi, Francesco
Cirillo, Luigi
Buti, Elisa
Becherucci, Francesca
Errichiello, Carmela
Roperto, Rosa Maria
Hunter, James P.
Romagnani, Paola
Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review
title Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review
title_full Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review
title_fullStr Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review
title_full_unstemmed Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review
title_short Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review
title_sort urinary biomarkers for diagnosis and prediction of acute kidney allograft rejection: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7555436/
https://www.ncbi.nlm.nih.gov/pubmed/32961825
http://dx.doi.org/10.3390/ijms21186889
work_keys_str_mv AT guzzifrancesco urinarybiomarkersfordiagnosisandpredictionofacutekidneyallograftrejectionasystematicreview
AT cirilloluigi urinarybiomarkersfordiagnosisandpredictionofacutekidneyallograftrejectionasystematicreview
AT butielisa urinarybiomarkersfordiagnosisandpredictionofacutekidneyallograftrejectionasystematicreview
AT becheruccifrancesca urinarybiomarkersfordiagnosisandpredictionofacutekidneyallograftrejectionasystematicreview
AT errichiellocarmela urinarybiomarkersfordiagnosisandpredictionofacutekidneyallograftrejectionasystematicreview
AT ropertorosamaria urinarybiomarkersfordiagnosisandpredictionofacutekidneyallograftrejectionasystematicreview
AT hunterjamesp urinarybiomarkersfordiagnosisandpredictionofacutekidneyallograftrejectionasystematicreview
AT romagnanipaola urinarybiomarkersfordiagnosisandpredictionofacutekidneyallograftrejectionasystematicreview