Impacto
Downloads
Downloads per month over past year
Martínez Santos, Paula, Paula and Baldán Martín, Montserrat and López, Juan A. and Martín Lorenzo, Marta and Santiago Hernández, Aránzazu and Agudiez, Marta and Cabrera Sierra, Martha and Calvo, Eva and Vázquez, Jesús and Ruiz Hurtado, Gema and Vivanco, Fernando and Ruilope, Luis M and Barderas, María G. and Alvarez-Llamas, Gloria (2019) Identification of six cardiovascular risk biomarkers in the young population: A promising tool for early prevention. Atherosclerosis, 282 . pp. 67-74. ISSN 1879-1484
![]() |
PDF
Restringido a Repository staff only 1MB |
Official URL: https://www.sciencedirect.com/science/article/pii/S0021915019300048#!
Abstract
Background and aims
The predictive value of traditional CV risk calculators is limited. Novel indicators of CVD progression are needed particularly in the young population. The main aim of this study was the identification of a molecular profile with added value to classical CV risk estimation.
Methods
Eighty-one subjects (30–50 years) were classified in 3 groups according to their CV risk: healthy subjects; individuals with CV risk factors; and those who had suffered a previous CV event. The urine proteome was quantitatively analyzed and significantly altered proteins were identified between patients' groups, either related to CV risk or established organ damage. Target-MS and ELISA were used for confirmation in independent patients’ cohorts. Systems Biology Analysis (SBA) was carried out to identify functional categories behind CVD.
Results
4309 proteins were identified, 75 of them differentially expressed. ADX, ECP, FETUB, GDF15, GUAD and NOTCH1 compose a fingerprint positively correlating with lifetime risk estimate (LTR QRISK). Best performance ROC curve was obtained when ECP, GDF15 and GUAD were combined (AUC = 0.96). SBA revealed oxidative stress response, dilated cardiomyopathy, signaling by Wnt and proteasome, as main functional processes related to CV risk.
Conclusions
A novel urinary protein signature is shown, which correlates with CV risk estimation in young individuals. Pending further confirmation, this six-protein-panel could help in CV risk assessment.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Cardiovascular risk, Early prevention, Lifetime risk, Proteomics, Systems biology, analysis, Biomarkers |
Subjects: | Medical sciences > Medicine > Cardiology Medical sciences > Biology > Molecular biology Medical sciences > Biology > Biochemistry |
ID Code: | 56807 |
Deposited On: | 26 Aug 2019 13:57 |
Last Modified: | 20 Apr 2021 12:24 |
Origin of downloads
Repository Staff Only: item control page