Deciphering the disease-related molecular networks using urine proteomics

• Tipo: Outra Publicação em Revista Científica Internacional
• Data: 2017

Autores

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

Revista

Título: TrAC - Trends in Analytical Chemistry

Vol. 94

Páginas: 200-209

ISSN: 0165-9936

Editora: Elsevier

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 4 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10