2026-07-22T03:21:58Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/73512024-10-31T11:59:32Zcom_20.500.12105_19604com_20.500.12105_2051col_20.500.12105_19605col_20.500.12105_19607
Repisalud
author
Martínez, Paula J
author
Baldan-Martin, Montserrat
author
Lopez, Juan Antonio
author
Martín-Lorenzo, Marta
author
Santiago-Hernández, Aránzazu
author
Agudiez, Marta
author
Cabrera, Martha
author
Calvo, Eva
author
Vazquez, Jesus
author
Ruiz-Hurtado, Gema
author
Vivanco, Fernando
author
Ruilope, Luis M
author
Barderas, Maria G
author
Alvarez-Llamas, Gloria
funder
Instituto de Salud Carlos III
funder
Fundación SENEFRO
funder
Fundación Íñigo Álvarez de Toledo
funder
Fundación Conchita Rábago de Jiménez Díaz
funder
Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
2019-03-18T11:34:08Z
2019-03-18T11:34:08Z
2019-03
Atherosclerosis. 2019; 282:67-74
10.1016/j.atherosclerosis.2019.01.003
1879-1484
0021-9150
Atherosclerosis
30690299
http://hdl.handle.net/20.500.12105/7351
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.
eng
Biomarkers
Cardiovascular risk
Early prevention
Lifetime risk
Proteomics
Systems biology analysis
Identification of six cardiovascular risk biomarkers in the young population: A promising tool for early prevention
journal article
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
URL
https://repisalud.isciii.es/bitstreams/d96de0e1-9591-4902-b39a-c5d4aa20f38d/download
File
MD5
c7d52b548374dfb2073cb692912677a0
1038156
application/pdf
IdentificationSixCardiovascularRisk _2019.pdf
URL
https://repisalud.isciii.es/bitstreams/9de9cd9b-804f-4ed6-9c3a-9eb629dad91c/download
File
MD5
6730d6757afbbdb13e24c35cdc8dfc39
13354
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
IdentificationSixCardiovascularRisk _2019_SM1.xlsx
URL
https://repisalud.isciii.es/bitstreams/0d30a76b-9dbc-4041-aefc-ae0c3613911a/download
File
MD5
7fed48f7ad88f26910e243e9ce4266e4
1046598
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
IdentificationSixCardiovascularRisk _2019_SM2.xlsx
URL
https://repisalud.isciii.es/bitstreams/cda06a11-0a05-4bad-9a8c-07516fce1cab/download
File
MD5
951ef1c7fdf173d6805d6a2096939fc2
19881
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
IdentificationSixCardiovascularRisk _2019_SM3.xlsx
URL
https://repisalud.isciii.es/bitstreams/17461c11-79df-4fc7-bd36-d2da720a4775/download
File
MD5
824ea9261ea5f1bebe682fd5a57e5dc7
17720
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
IdentificationSixCardiovascularRisk _2019_SM4.xlsx
URL
https://repisalud.isciii.es/bitstreams/5f4936d9-7a00-4b22-a00f-c83f076a7972/download
File
MD5
1e521c301ba107c86a94a095677d58bd
13536
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
IdentificationSixCardiovascularRisk _2019_SM4b.xlsx
URL
https://repisalud.isciii.es/bitstreams/d211f774-5f4d-4c59-abd7-3e2d0872398f/download
File
MD5
88ccd5aa92ada41be3b94ddddf4f2170
11038
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
IdentificationSixCardiovascularRisk _2019_SM5.xlsx
URL
https://repisalud.isciii.es/bitstreams/d4b37ec3-69e5-43a9-906d-f536a8a3b857/download
File
MD5
099caff8be12cbce94bdbf1d97178131
47114
text/plain
IdentificationSixCardiovascularRisk _2019.pdf.txt
URL
https://repisalud.isciii.es/bitstreams/c8086127-13d3-44ed-bce8-c08afceb6fe3/download
File
MD5
e2a167b1a810ec5bf183efaaafabf433
1276
text/plain
IdentificationSixCardiovascularRisk _2019_SM1.xlsx.txt
URL
https://repisalud.isciii.es/bitstreams/edd355f8-78d1-42ca-89b6-e17dc31b3334/download
File
MD5
9740feed4bc7053f5a3e19de0c9bbd87
100000
text/plain
IdentificationSixCardiovascularRisk _2019_SM2.xlsx.txt
URL
https://repisalud.isciii.es/bitstreams/c1af7276-21ab-498e-9919-fc7019fcf12d/download
File
MD5
63e23e6abf2cf4dfd680fa27291259c5
6726
text/plain
IdentificationSixCardiovascularRisk _2019_SM3.xlsx.txt
URL
https://repisalud.isciii.es/bitstreams/c9122ab8-60e4-4598-b7a7-2a80029c9104/download
File
MD5
3bfacec88d5c01ec99f646d9a83d90ed
7447
text/plain
IdentificationSixCardiovascularRisk _2019_SM4.xlsx.txt
URL
https://repisalud.isciii.es/bitstreams/337c8f94-9bc2-4902-b186-13d10628581f/download
File
MD5
77b12618c99519be922c3d9a7b9befc0
1676
text/plain
IdentificationSixCardiovascularRisk _2019_SM4b.xlsx.txt
URL
https://repisalud.isciii.es/bitstreams/f75a19f4-2386-4426-b54d-4b72f8f3d158/download
File
MD5
48b2e15ec4d78fc252b9f457beef8d1f
821
text/plain
IdentificationSixCardiovascularRisk _2019_SM5.xlsx.txt