Coronary Artery Disease and Aortic Valve Stenosis: A Urine Proteomics Study

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Perpetuo, L (Author) Other; Barros, AS (Author) FMUP; Dalsuco, J (Author) Other; Nogueira Ferreira, R (Author) Other; Resende Goncalves, P (Author) Other; Falcao Pires, I (Author) FMUP; Ferreira, R (Author) Other; Leite-Moreira AF (Author) FMUP; Trindade, F (Author) Other; Vitorino, R (Author) Other

Journal

Title: International Journal Of Molecular Sciences

Vol. 23

ISSN: 1661-6596

Publisher: MDPI

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 5 Citations

Other information

Authenticus ID: P-00X-ENF

DOI: 10.3390/ijms232113579

Abstract (EN): Coronary artery disease (CAD) and the frequently coexisting aortic valve stenosis (AVS) are heart diseases accounting for most cardiac surgeries. These share many risk factors, such as age, diabetes, hypertension, or obesity, and similar pathogenesis, including endothelial disruption, lipid and immune cell infiltration, inflammation, fibrosis, and calcification. Unsuspected CAD and AVS are sometimes detected opportunistically through echocardiography, coronary angiography, and magnetic resonance. Routine biomarkers for early detection of either of these atherosclerotic-rooted conditions would be important to anticipate the diagnosis. With a noninvasive collection, urine is appealing for biomarker assessment. We conducted a shotgun proteomics exploratory analysis of urine from 12 CAD and/or AVS patients and 11 controls to identify putative candidates to differentiate these diseases from healthy subjects. Among the top 20 most dysregulated proteins, TIMP1, MMP2 and vWF stood out, being at least 2.5x increased in patients with CAD/AVS and holding a central position in a network of protein-protein interactions. Moreover, their assessment in an independent cohort (19 CAD/AVS and 10 controls) evidenced strong correlations between urinary TIMP1 and vWF levels and a common cardiovascular risk factor - HDL (r = 0.59, p < 0.05, and r = 0.64, p < 0.01, respectively).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13