Cargando…

A Novel Urinary Proteomics Classifier for Non-Invasive Evaluation of Interstitial Fibrosis and Tubular Atrophy in Chronic Kidney Disease

Non-invasive urinary peptide biomarkers are able to detect and predict chronic kidney disease (CKD). Moreover, specific urinary peptides enable discrimination of different CKD etiologies and offer an interesting alternative to invasive kidney biopsy, which cannot always be performed. The aim of this...

Descripción completa

Detalles Bibliográficos
Autores principales: Catanese, Lorenzo, Siwy, Justyna, Mavrogeorgis, Emmanouil, Amann, Kerstin, Mischak, Harald, Beige, Joachim, Rupprecht, Harald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293473/
https://www.ncbi.nlm.nih.gov/pubmed/34287333
http://dx.doi.org/10.3390/proteomes9030032
_version_ 1783725045938388992
author Catanese, Lorenzo
Siwy, Justyna
Mavrogeorgis, Emmanouil
Amann, Kerstin
Mischak, Harald
Beige, Joachim
Rupprecht, Harald
author_facet Catanese, Lorenzo
Siwy, Justyna
Mavrogeorgis, Emmanouil
Amann, Kerstin
Mischak, Harald
Beige, Joachim
Rupprecht, Harald
author_sort Catanese, Lorenzo
collection PubMed
description Non-invasive urinary peptide biomarkers are able to detect and predict chronic kidney disease (CKD). Moreover, specific urinary peptides enable discrimination of different CKD etiologies and offer an interesting alternative to invasive kidney biopsy, which cannot always be performed. The aim of this study was to define a urinary peptide classifier using mass spectrometry technology to predict the degree of renal interstitial fibrosis and tubular atrophy (IFTA) in CKD patients. The urinary peptide profiles of 435 patients enrolled in this study were analyzed using capillary electrophoresis coupled with mass spectrometry (CE-MS). Urine samples were collected on the day of the diagnostic kidney biopsy. The proteomics data were divided into a training (n = 200) and a test (n = 235) cohort. The fibrosis group was defined as IFTA ≥ 15% and no fibrosis as IFTA < 10%. Statistical comparison of the mass spectrometry data enabled identification of 29 urinary peptides with differential occurrence in samples with and without fibrosis. Several collagen fragments and peptide fragments of fetuin-A and others were combined into a peptidomic classifier. The classifier separated fibrosis from non-fibrosis patients in an independent test set (n = 186) with area under the curve (AUC) of 0.84 (95% CI: 0.779 to 0.889). A significant correlation of IFTA and FPP_BH29 scores could be observed Rho = 0.5, p < 0.0001. We identified a peptidomic classifier for renal fibrosis containing 29 peptide fragments corresponding to 13 different proteins. Urinary proteomics analysis can serve as a non-invasive tool to evaluate the degree of renal fibrosis, in contrast to kidney biopsy, which allows repeated measurements during the disease course.
format Online
Article
Text
id pubmed-8293473
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-82934732021-07-22 A Novel Urinary Proteomics Classifier for Non-Invasive Evaluation of Interstitial Fibrosis and Tubular Atrophy in Chronic Kidney Disease Catanese, Lorenzo Siwy, Justyna Mavrogeorgis, Emmanouil Amann, Kerstin Mischak, Harald Beige, Joachim Rupprecht, Harald Proteomes Article Non-invasive urinary peptide biomarkers are able to detect and predict chronic kidney disease (CKD). Moreover, specific urinary peptides enable discrimination of different CKD etiologies and offer an interesting alternative to invasive kidney biopsy, which cannot always be performed. The aim of this study was to define a urinary peptide classifier using mass spectrometry technology to predict the degree of renal interstitial fibrosis and tubular atrophy (IFTA) in CKD patients. The urinary peptide profiles of 435 patients enrolled in this study were analyzed using capillary electrophoresis coupled with mass spectrometry (CE-MS). Urine samples were collected on the day of the diagnostic kidney biopsy. The proteomics data were divided into a training (n = 200) and a test (n = 235) cohort. The fibrosis group was defined as IFTA ≥ 15% and no fibrosis as IFTA < 10%. Statistical comparison of the mass spectrometry data enabled identification of 29 urinary peptides with differential occurrence in samples with and without fibrosis. Several collagen fragments and peptide fragments of fetuin-A and others were combined into a peptidomic classifier. The classifier separated fibrosis from non-fibrosis patients in an independent test set (n = 186) with area under the curve (AUC) of 0.84 (95% CI: 0.779 to 0.889). A significant correlation of IFTA and FPP_BH29 scores could be observed Rho = 0.5, p < 0.0001. We identified a peptidomic classifier for renal fibrosis containing 29 peptide fragments corresponding to 13 different proteins. Urinary proteomics analysis can serve as a non-invasive tool to evaluate the degree of renal fibrosis, in contrast to kidney biopsy, which allows repeated measurements during the disease course. MDPI 2021-07-13 /pmc/articles/PMC8293473/ /pubmed/34287333 http://dx.doi.org/10.3390/proteomes9030032 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Catanese, Lorenzo
Siwy, Justyna
Mavrogeorgis, Emmanouil
Amann, Kerstin
Mischak, Harald
Beige, Joachim
Rupprecht, Harald
A Novel Urinary Proteomics Classifier for Non-Invasive Evaluation of Interstitial Fibrosis and Tubular Atrophy in Chronic Kidney Disease
title A Novel Urinary Proteomics Classifier for Non-Invasive Evaluation of Interstitial Fibrosis and Tubular Atrophy in Chronic Kidney Disease
title_full A Novel Urinary Proteomics Classifier for Non-Invasive Evaluation of Interstitial Fibrosis and Tubular Atrophy in Chronic Kidney Disease
title_fullStr A Novel Urinary Proteomics Classifier for Non-Invasive Evaluation of Interstitial Fibrosis and Tubular Atrophy in Chronic Kidney Disease
title_full_unstemmed A Novel Urinary Proteomics Classifier for Non-Invasive Evaluation of Interstitial Fibrosis and Tubular Atrophy in Chronic Kidney Disease
title_short A Novel Urinary Proteomics Classifier for Non-Invasive Evaluation of Interstitial Fibrosis and Tubular Atrophy in Chronic Kidney Disease
title_sort novel urinary proteomics classifier for non-invasive evaluation of interstitial fibrosis and tubular atrophy in chronic kidney disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293473/
https://www.ncbi.nlm.nih.gov/pubmed/34287333
http://dx.doi.org/10.3390/proteomes9030032
work_keys_str_mv AT cataneselorenzo anovelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease
AT siwyjustyna anovelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease
AT mavrogeorgisemmanouil anovelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease
AT amannkerstin anovelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease
AT mischakharald anovelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease
AT beigejoachim anovelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease
AT rupprechtharald anovelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease
AT cataneselorenzo novelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease
AT siwyjustyna novelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease
AT mavrogeorgisemmanouil novelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease
AT amannkerstin novelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease
AT mischakharald novelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease
AT beigejoachim novelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease
AT rupprechtharald novelurinaryproteomicsclassifierfornoninvasiveevaluationofinterstitialfibrosisandtubularatrophyinchronickidneydisease