Deciphering the disease-related molecular networks using urine proteomics

• Type: Another Publication in an International Scientific Journal
• Date: 2017

Authors

Dias Bastos, PAD (Author) Other; Vlahou, A (Author) Other; Leite-Moreira AF (Author) FMUP; Santos, LL (Author) Other; Ferreira, R (Author) Other; Vitorino, R (Author) FMUP

Journal

Title: TrAC - Trends in Analytical Chemistry

Vol. 94

Pages: 200-209

ISSN: 0165-9936

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 4 Citations

Other information

Authenticus ID: P-00N-28Q

DOI: 10.1016/j.trac.2017.07.018

Abstract (EN): Despite the large number of studies focused on the impact of diseases on urine proteome, few outputs with clinical meaning were retrieved so far. The goal of this study was to identify the biological processes modulated in urine by distinct diseases to better understand disease pathogenesis and to identify urinary proteins with potential diagnosis value. We searched PubMed and SCOPUS databases for mass spectrometry-based experimental papers and pooled differentially expressed proteins by disease and target organic system. A total of 2572 differentially expressed proteins or peptides were pooled from 89 studies focused on 57 diseases. Data analysis highlighted inflammation as a biological process modulated by all diseases. However, specific inflammatory signatures are associated with specific diseases and/or aetiologies. Moreover, specific biological processes were identified for specific groups of pathologies and unique proteins identified. Overall, integrative data analysis from urine proteomics/peptidomics reinforces the clinical potential of this body fluid for the clinical management of distinct diseases.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10