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Article

Plasma microRNA Profiling Reveals Novel Biomarkers of Epicardial Adipose Tissue: A Multidetector Computed Tomography Study

by
David de Gonzalo-Calvo
1,2,3,*,
David Vilades
4,
Pablo Martínez-Camblor
5,
Àngela Vea
2,
Andreu Ferrero-Gregori
3,6,
Laura Nasarre
2,
Olga Bornachea
1,2,
Jesus Sanchez Vega
4,
Rubén Leta
4,
Núria Puig
7,8,
Sonia Benítez
7,
Jose Luis Sanchez-Quesada
7,9,
Francesc Carreras
3,4 and
Vicenta Llorente-Cortés
1,2,3,*
1
Institute of Biomedical Research of Barcelona (IIBB) - Spanish National Research Council (CSIC), 08036 Barcelona, Spain
2
Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
3
CIBERCV, Institute of Health Carlos III, 28029 Madrid, Spain
4
Cardiac Imaging Unit, Cardiology Department, Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain
5
Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA
6
Cardiology Service, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona (UAB), 08041 Barcelona, Spain
7
Cardiovascular Biochemistry, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08041 Barcelona, Spain
8
Molecular Biology and Biochemistry Department, Universitat Autònoma de Barcelona (UAB), 08193 Cerdanyola del Valles, Spain
9
CIBERDEM, Institute of Health Carlos III, 28029 Madrid, Spain
*
Authors to whom correspondence should be addressed.
J. Clin. Med. 2019, 8(6), 780; https://doi.org/10.3390/jcm8060780
Submission received: 6 May 2019 / Revised: 22 May 2019 / Accepted: 28 May 2019 / Published: 1 June 2019
(This article belongs to the Special Issue Novel Biomarkers for Heart Disease)

Abstract

Epicardial adipose tissue (EAT) constitutes a novel parameter for cardiometabolic risk assessment and a target for therapy. Here, we evaluated for the first time the plasma microRNA (miRNA) profile as a source of biomarkers for epicardial fat volume (EFV). miRNAs were profiled in plasma samples from 180 patients whose EFV was quantified using multidetector computed tomography. In the screening study, 54 deregulated miRNAs were identified in patients with high EFV levels (highest tertile) compared with matched patients with low EFV levels (lowest tertile). After filtering, 12 miRNAs were selected for subsequent validation. In the validation study, miR-15b-3p, miR-22-3p, miR-148a-3p miR-148b-3p and miR-590-5p were directly associated with EFV, even after adjustment for confounding factors (p value < 0.05 for all models). The addition of miRNA combinations to a model based on clinical variables improved the discrimination (area under the receiver-operating-characteristic curve (AUC) from 0.721 to 0.787). miRNAs correctly reclassified a significant proportion of patients with an integrated discrimination improvement (IDI) index of 0.101 and a net reclassification improvement (NRI) index of 0.650. Decision tree models used miRNA combinations to improve their classification accuracy. These results were reproduced using two proposed clinical cutoffs for epicardial fat burden. Internal validation corroborated the robustness of the models. In conclusion, plasma miRNAs constitute novel biomarkers of epicardial fat burden.
Keywords: biomarker; cardiometabolic disease; epicardial adipose tissue; epicardial fat; epicardial fat volume; microRNA biomarker; cardiometabolic disease; epicardial adipose tissue; epicardial fat; epicardial fat volume; microRNA
Graphical Abstract

Share and Cite

MDPI and ACS Style

de Gonzalo-Calvo, D.; Vilades, D.; Martínez-Camblor, P.; Vea, À.; Ferrero-Gregori, A.; Nasarre, L.; Bornachea, O.; Sanchez Vega, J.; Leta, R.; Puig, N.; et al. Plasma microRNA Profiling Reveals Novel Biomarkers of Epicardial Adipose Tissue: A Multidetector Computed Tomography Study. J. Clin. Med. 2019, 8, 780. https://doi.org/10.3390/jcm8060780

AMA Style

de Gonzalo-Calvo D, Vilades D, Martínez-Camblor P, Vea À, Ferrero-Gregori A, Nasarre L, Bornachea O, Sanchez Vega J, Leta R, Puig N, et al. Plasma microRNA Profiling Reveals Novel Biomarkers of Epicardial Adipose Tissue: A Multidetector Computed Tomography Study. Journal of Clinical Medicine. 2019; 8(6):780. https://doi.org/10.3390/jcm8060780

Chicago/Turabian Style

de Gonzalo-Calvo, David, David Vilades, Pablo Martínez-Camblor, Àngela Vea, Andreu Ferrero-Gregori, Laura Nasarre, Olga Bornachea, Jesus Sanchez Vega, Rubén Leta, Núria Puig, and et al. 2019. "Plasma microRNA Profiling Reveals Novel Biomarkers of Epicardial Adipose Tissue: A Multidetector Computed Tomography Study" Journal of Clinical Medicine 8, no. 6: 780. https://doi.org/10.3390/jcm8060780

APA Style

de Gonzalo-Calvo, D., Vilades, D., Martínez-Camblor, P., Vea, À., Ferrero-Gregori, A., Nasarre, L., Bornachea, O., Sanchez Vega, J., Leta, R., Puig, N., Benítez, S., Sanchez-Quesada, J. L., Carreras, F., & Llorente-Cortés, V. (2019). Plasma microRNA Profiling Reveals Novel Biomarkers of Epicardial Adipose Tissue: A Multidetector Computed Tomography Study. Journal of Clinical Medicine, 8(6), 780. https://doi.org/10.3390/jcm8060780

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