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

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dc.contributor.author Martínez Paula, J.
dc.contributor.author Baldan Martin, Montserrat
dc.contributor.author López, Juan Antonio
dc.contributor.author Martín Lorenzo, Marta
dc.contributor.author Santiago-Hernandez, Aránzazu
dc.contributor.author Agudiez, Marta
dc.contributor.author Cabrera, Martha
dc.contributor.author Barderas, María G.
dc.contributor.author Álvarez Llamas, Gloria
dc.contributor.author Ruilope Urioste, Luis Miguel
dc.contributor.author Et al.
dc.date.accessioned 2019-03-18T10:51:11Z
dc.date.available 2019-03-18T10:51:11Z
dc.date.issued 2019
dc.identifier.citation Martínez, P. J., Baldán-Martín, M., López, J. A., Martín-Lorenzo, M., Santiago-Hernández, A., Agudiez, M., ... & Vivanco, F. (2019). Identification of six cardiovascular risk biomarkers in the young population: A promising tool for early prevention. Atherosclerosis, 282, 67-74. http://doi.org/10.1016/j.atherosclerosis.2019.01.003 spa
dc.identifier.issn 0021-9150
dc.identifier.issn 1879-1484
dc.identifier.uri http://hdl.handle.net/11268/7846
dc.description.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. spa
dc.description.sponsorship FEDER (PI14/01650, PI14/01917, PI14/01841, PI16/01334, IF08/3667-1, FI12/00126, CPII15/00027, CP15/00129, PT13/0001/0013, PI17/01093, PI17/01193, IPT17/0019, ISCIIIS-GEFI/ERDF, RD12/0021/0001, RD16/0009) spa
dc.description.sponsorship Fundacion SENEFRO spa
dc.description.sponsorship Fundacion Inigo Alvarez de Toledo spa
dc.description.sponsorship Fundacion Conchita Rabago de Jimenez Diaz spa
dc.language.iso eng spa
dc.title Identification of six cardiovascular risk biomarkers in the young population: A promising tool for early prevention spa
dc.type article spa
dc.description.impact 4.255 JCR (2018) Q1, 12/65 Peripheral Vascular Disease; Q2, 37/136 Cardiac & Cardiovascular Systems spa
dc.identifier.doi 10.1016/j.atherosclerosis.2019.01.003
dc.rights.accessRights closedAccess spa
dc.subject.uem Cardiopatía coronaria spa
dc.subject.unesco Enfermedad cardiovascular spa
dc.description.filiation UEM spa
dc.peerreviewed Si spa

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