Plasma microRNA profiling reveals novel biomarkers of epicardial adipose tissue: A multidetector computed tomography study
| Autor: | de Gonzalo-Calvo D., Vilades D., Martínez-Camblor P., Vea À., Ferrero-Gregori A., Nasarre L., Bornachea O., Vega J.S., Leta R., Puig N., Benítez S., Sanchez-Quesada J.L., Carreras F., Llorente-Cortés V. |
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| Rok vydání: | 2019 |
| Předmět: |
hypertension
epicardial fat phenotype polymerase chain reaction microRNA 590 5p dipeptidyl carboxypeptidase multidetector computed tomography microRNA 22 immunoturbidimetry Article hydroxymethylglutaryl coenzyme A reductase inhibitor microRNA 148a 3p RNA fingerprinting male cardiometabolic risk heart rate human microRNA 15b 3p computed tomographic angiography receiver operating characteristic C reactive protein microRNA screening dyslipidemia risk assessment beta adrenergic receptor blocking agent antithrombocytic agent microRNA 15b biological marker major clinical study body mass human tissue unclassified drug heart surgery microRNA 148b 3p aged RNA isolation female risk factor plasma protein RNA purification diabetes mellitus microRNA 22 3p gene expression blood sampling coronary angiography prospective study |
| Zdroj: | Journal of Clinical Medicine r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau instname |
| ISSN: | 2077-0383 |
| DOI: | 10.3390/jcm8060780&partnerID=40&md5=0bc5b185d2e744281aa89dcc0e2b21fd |
| Popis: | 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. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. |
| Databáze: | OpenAIRE |
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