Urinary Peptidomic Biomarkers in Kidney Diseases.
CKD
biomarker
clinical proteomics
kidney
mass spectrometry
peptidomics
urine
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
21 Dec 2019
21 Dec 2019
Historique:
received:
30
11
2019
revised:
16
12
2019
accepted:
19
12
2019
entrez:
28
12
2019
pubmed:
28
12
2019
medline:
12
5
2020
Statut:
epublish
Résumé
In order to effectively develop personalized medicine for kidney diseases we urgently need to develop highly accurate biomarkers for use in the clinic, since current biomarkers of kidney damage (changes in serum creatinine and/or urine albumin excretion) apply to a later stage of disease, lack accuracy, and are not connected with molecular pathophysiology. Analysis of urine peptide content (urinary peptidomics) has emerged as one of the most attractive areas in disease biomarker discovery. Urinary peptidome analysis allows the detection of short and long-term physiological or pathological changes occurring within the kidney. Urinary peptidomics has been applied extensively for several years now in renal patients, and may greatly improve kidney disease management by supporting earlier and more accurate detection, prognostic assessment, and prediction of response to treatment. It also promises better understanding of kidney disease pathophysiology, and has been proposed as a "liquid biopsy" to discriminate various types of renal disorders. Furthermore, proteins being the major drug targets, peptidome analysis may allow one to evaluate the effects of therapies at the protein signaling pathway level. We here review the most recent findings on urinary peptidomics in the setting of the most common kidney diseases.
Identifiants
pubmed: 31877774
pii: ijms21010096
doi: 10.3390/ijms21010096
pmc: PMC6982248
pii:
doi:
Substances chimiques
Biomarkers
0
Peptides
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : G. d'Annunzio University of Chieti-Pescara, Italy
ID : ex 60% 2018
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