Identification of six cardiovascular risk biomarkers in the young population: A promising tool for early prevention.
Atherosclerosis
; 282: 67-74, 2019 03.
Article
en En
| MEDLINE
| ID: mdl-30690299
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 (AUCâ¯=â¯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.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Biomarcadores
/
Enfermedades Cardiovasculares
/
Medicina Preventiva
Tipo de estudio:
Diagnostic_studies
/
Etiology_studies
/
Prognostic_studies
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Risk_factors_studies
Límite:
Adult
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Atherosclerosis
Año:
2019
Tipo del documento:
Article
País de afiliación:
España