Urine proteome biomarkers in kidney diseases. I. Limits, perspectives, and first focus on normal urine

Laura Santucci, Maurizio Bruschi, Giovanni Candiano, Francesca Lugani, Andrea Petretto, Alice Bonanni, Gian Marco Ghiggeri

Research output: Contribution to journalArticle

Abstract

Urine proteome is a potential source of information in renal diseases, and it is considered a natural area of investigation for biomarkers. Technology developments have markedly increased the power analysis on urinary proteins, and it is time to confront methodologies and results of major studies on the topics. This is a first part of a series of reviews that will focus on the urine proteome as a site for detecting biomarkers of renal diseases; the theme of the first review concerns methodological aspects applied to normal urine. Main issues are techniques for urine pretreatment, separation of exo-somes, use of combinatorial peptide ligand libraries, mass spectrometry approaches, and analysis of data sets. Available studies show important differences, suggesting a major confounding effect of the technologies utilized for analysis. The objective is to obtain consensus about which approaches should be utilized for studying urine proteome in renal diseases.

Original languageEnglish
Pages (from-to)41-48
Number of pages8
JournalBiomarker Insights
Volume11
DOIs
Publication statusPublished - Mar 16 2016

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Kidney Diseases
Biomarkers
Proteome
Urine
Kidney
Mass spectrometry
Peptide Library
Ligands
Peptides
Mass Spectrometry
Proteins
Technology

Keywords

  • Combinatorial peptide ligand libraries
  • Mass spectrometry
  • Urinary proteome
  • Vesicles

ASJC Scopus subject areas

  • Molecular Medicine
  • Pharmacology
  • Biochemistry, medical

Cite this

Urine proteome biomarkers in kidney diseases. I. Limits, perspectives, and first focus on normal urine. / Santucci, Laura; Bruschi, Maurizio; Candiano, Giovanni; Lugani, Francesca; Petretto, Andrea; Bonanni, Alice; Ghiggeri, Gian Marco.

In: Biomarker Insights, Vol. 11, 16.03.2016, p. 41-48.

Research output: Contribution to journalArticle

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