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Identification of six cardiovascular risk biomarkers in the young population: A promising tool for early prevention

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Martínez Santos, Paula, Paula and Baldán Martín, Montserrat and López, Juan A. and Martín Lorenzo, Marta and Santiago Hernández, Aránzazu and Agudieza, 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

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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:26 Aug 2019 13:57

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