Unbiased plasma proteomics discovery of biomarkers for improved detection of subclinical atherosclerosis


Por: Nunez, E, Fuster, V, Gomez-Serrano, M, Valdivielso, JM, Fernandez-Alvira, JM, Martinez-Lopez, D, Rodriguez, JM, Bonzon-Kulichenko, E, Calvo, E, Alfayate, A, Bermudez-Lopez, M, Escola-Gil, JC, Fernandez-Friera, L, Cerro-Pardo, I, Mendiguren, JM, Sanchez-Cabo, F, Sanz, J, Ordovas, JM, Blanco-Colio, LM, Garcia-Ruiz, JM, Ibanez, B, Lara-Pezzi, E, Fernandez-Ortiz, A, Martin-Ventura, JL, Vazquez, J

Publicada: 1 feb 2022 Ahead of Print: 1 feb 2022
Resumen:
Background Imaging of subclinical atherosclerosis improves cardiovascular risk prediction on top of traditional risk factors. However, cardiovascular imaging is not universally available. This work aims to identify circulating proteins that could predict subclinical atherosclerosis. Methods Hypothesis-free proteomics was used to analyze plasma from 444 subjects from PESA cohort study (222 with extensive atherosclerosis on imaging, and 222 matched controls) at two timepoints (three years apart) for discovery, and from 350 subjects from AWHS cohort study (175 subjects with extensive atherosclerosis on imaging and 175 matched controls) for external validation. A selected three-protein panel was further validated by immunoturbidimetry in the AWHS population and in 2999 subjects from ILERVAS cohort study. Findings PIGR, IGHA2, APOA, HPT and HEP2 were associated with subclinical atherosclerosis independently from traditional risk factors at both timepoints in the discovery and validation cohorts. Multivariate analysis rendered a potential three-protein biomarker panel, including IGHA2, APOA and HPT. Immunoturbidimetry confirmed the independent associations of these three proteins with subclinical atherosclerosis in AWHS and ILERVAS. A machine-learning model with these three proteins was able to predict subclinical atherosclerosis in ILERVAS (AUC [95%CI]:0.73 [0.70-0.74], p < 1 x 10(-99)), and also in the subpopulation of individuals with low cardiovascular risk according to FHS 10-year score (0.71 [0.69-0.73], p < 1 x 10(-69)). Interpretation Plasma levels of IGHA2, APOA and HPT are associated with subclinical atherosclerosis independently of traditional risk factors and offers potential to predict this disease. The panel could improve primary prevention strategies in areas where imaging is not available. Copyright (C) 2022 The Authors. Published by Elsevier B.V.

Filiaciones:
Nunez, E:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

 CIBER Enfermedades Cardiovasc CIBERCV, Madrid, Spain

Fuster, V:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

 Icahn Sch Med Mt Sinai, New York, NY 10029 USA

Gomez-Serrano, M:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

 CIBER Enfermedades Cardiovasc CIBERCV, Madrid, Spain

Valdivielso, JM:
 Inst Recerca Biomed, Lleida, Spain

Fernandez-Alvira, JM:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

Martinez-Lopez, D:
 IIS Fdn Jimenez Diaz, Madrid, Spain

Rodriguez, JM:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

Bonzon-Kulichenko, E:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

 CIBER Enfermedades Cardiovasc CIBERCV, Madrid, Spain

Calvo, E:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

 CIBER Enfermedades Cardiovasc CIBERCV, Madrid, Spain

Alfayate, A:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

Bermudez-Lopez, M:
 Inst Recerca Biomed, Lleida, Spain

Escola-Gil, JC:
 Inst Invest Biomed St Pau, Barcelona, Spain

 CIBER Diabet & Enfermedades Metab CIBERDEM, Madrid, Spain

Fernandez-Friera, L:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

Cerro-Pardo, I:
 IIS Fdn Jimenez Diaz, Madrid, Spain

Mendiguren, JM:
 Banco Santander, Madrid, Spain

Sanchez-Cabo, F:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

Sanz, J:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

 Icahn Sch Med Mt Sinai, New York, NY 10029 USA

Ordovas, JM:
 Tufts Univ, USDA, Human Nutr Res Ctr Aging, Boston, MA 02111 USA

Blanco-Colio, LM:
 IIS Fdn Jimenez Diaz, Madrid, Spain

 CIBER Enfermedades Cardiovasc CIBERCV, Madrid, Spain

Garcia-Ruiz, JM:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

Ibanez, B:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

 IIS Fdn Jimenez Diaz, Madrid, Spain

 CIBER Enfermedades Cardiovasc CIBERCV, Madrid, Spain

Lara-Pezzi, E:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

 CIBER Enfermedades Cardiovasc CIBERCV, Madrid, Spain

Fernandez-Ortiz, A:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

 CIBER Enfermedades Cardiovasc CIBERCV, Madrid, Spain

 Hosp Clin San Carlos, IDISSC, Madrid, Spain

Martin-Ventura, JL:
 IIS Fdn Jimenez Diaz, Madrid, Spain

 CIBER Enfermedades Cardiovasc CIBERCV, Madrid, Spain

Vazquez, J:
 Ctr Nacl Invest Cardiovasc Carlos III, Madrid 28029, Spain

 CIBER Enfermedades Cardiovasc CIBERCV, Madrid, Spain
ISSN: 23523964
Editorial
ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, Reino Unido
Tipo de documento: Article
Volumen: 76 Número:
Páginas:
WOS Id: 000805184900014
ID de PubMed: 35152150
imagen Green Published, gold

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