CKD273, a new proteomics classifier assessing CKD and its prognosis.

National Kidney Foundation CKD staging has allowed uniformity in studies on CKD. However, early diagnosis and predicting progression to end stage renal disease are yet to be improved. Seventy six patients with different levels of CKD, including outpatients and dialysed patients were studied for tran...

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Autores principales:	Ángel Argilés, Justyna Siwy, Flore Duranton, Nathalie Gayrard, Mohammed Dakna, Ulrika Lundin, Lourdes Osaba, Christian Delles, Georges Mourad, Klaus M Weinberger, Harald Mischak
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/48e82742a1e24e11ac897a33dcc33fcc
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spelling	oai:doaj.org-article:48e82742a1e24e11ac897a33dcc33fcc2021-11-18T07:45:55ZCKD273, a new proteomics classifier assessing CKD and its prognosis.1932-620310.1371/journal.pone.0062837https://doaj.org/article/48e82742a1e24e11ac897a33dcc33fcc2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23690958/?tool=EBIhttps://doaj.org/toc/1932-6203National Kidney Foundation CKD staging has allowed uniformity in studies on CKD. However, early diagnosis and predicting progression to end stage renal disease are yet to be improved. Seventy six patients with different levels of CKD, including outpatients and dialysed patients were studied for transcriptome, metabolome and proteome description. High resolution urinary proteome analysis was blindly performed in the 53 non-anuric out of the 76 CKD patients. In addition to routine clinical parameters, CKD273, a urinary proteomics-based classifier and its peptides were quantified. The baseline values were analyzed with regard to the clinical parameters and the occurrence of death or renal death during follow-up (3.6 years) as the main outcome measurements. None of the patients with CKD273<0.55 required dialysis or died while all fifteen patients that reached an endpoint had a CKD273 score >0.55. Unsupervised clustering analysis of the CKD273 peptides separated the patients into two main groups differing in CKD associated parameters. Among the 273 biomarkers, peptides derived from serum proteins were relatively increased in patients with lower glomerular filtration rate, while collagen-derived peptides were relatively decreased (p<0.05; Spearman). CKD273 was different in the groups with different renal function (p<0.003). The CKD273 classifier separated CKD patients according to their renal function and informed on the likelihood of experiencing adverse outcome. Recently defined in a large population, CKD273 is the first proteomic-based classifier successfully tested for prognosis of CKD progression in an independent cohort.Ángel ArgilésJustyna SiwyFlore DurantonNathalie GayrardMohammed DaknaUlrika LundinLourdes OsabaChristian DellesGeorges MouradKlaus M WeinbergerHarald MischakPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 5, p e62837 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ángel Argilés Justyna Siwy Flore Duranton Nathalie Gayrard Mohammed Dakna Ulrika Lundin Lourdes Osaba Christian Delles Georges Mourad Klaus M Weinberger Harald Mischak CKD273, a new proteomics classifier assessing CKD and its prognosis.
description	National Kidney Foundation CKD staging has allowed uniformity in studies on CKD. However, early diagnosis and predicting progression to end stage renal disease are yet to be improved. Seventy six patients with different levels of CKD, including outpatients and dialysed patients were studied for transcriptome, metabolome and proteome description. High resolution urinary proteome analysis was blindly performed in the 53 non-anuric out of the 76 CKD patients. In addition to routine clinical parameters, CKD273, a urinary proteomics-based classifier and its peptides were quantified. The baseline values were analyzed with regard to the clinical parameters and the occurrence of death or renal death during follow-up (3.6 years) as the main outcome measurements. None of the patients with CKD273<0.55 required dialysis or died while all fifteen patients that reached an endpoint had a CKD273 score >0.55. Unsupervised clustering analysis of the CKD273 peptides separated the patients into two main groups differing in CKD associated parameters. Among the 273 biomarkers, peptides derived from serum proteins were relatively increased in patients with lower glomerular filtration rate, while collagen-derived peptides were relatively decreased (p<0.05; Spearman). CKD273 was different in the groups with different renal function (p<0.003). The CKD273 classifier separated CKD patients according to their renal function and informed on the likelihood of experiencing adverse outcome. Recently defined in a large population, CKD273 is the first proteomic-based classifier successfully tested for prognosis of CKD progression in an independent cohort.
format	article
author	Ángel Argilés Justyna Siwy Flore Duranton Nathalie Gayrard Mohammed Dakna Ulrika Lundin Lourdes Osaba Christian Delles Georges Mourad Klaus M Weinberger Harald Mischak
author_facet	Ángel Argilés Justyna Siwy Flore Duranton Nathalie Gayrard Mohammed Dakna Ulrika Lundin Lourdes Osaba Christian Delles Georges Mourad Klaus M Weinberger Harald Mischak
author_sort	Ángel Argilés
title	CKD273, a new proteomics classifier assessing CKD and its prognosis.
title_short	CKD273, a new proteomics classifier assessing CKD and its prognosis.
title_full	CKD273, a new proteomics classifier assessing CKD and its prognosis.
title_fullStr	CKD273, a new proteomics classifier assessing CKD and its prognosis.
title_full_unstemmed	CKD273, a new proteomics classifier assessing CKD and its prognosis.
title_sort	ckd273, a new proteomics classifier assessing ckd and its prognosis.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/48e82742a1e24e11ac897a33dcc33fcc
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CKD273, a new proteomics classifier assessing CKD and its prognosis.

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