دورية أكاديمية

Plasma microRNA profiling reveals novel biomarkers of epicardial adipose tissue: A multidetector computed tomography study

التفاصيل البيبلوغرافية
العنوان: Plasma microRNA profiling reveals novel biomarkers of epicardial adipose tissue: A multidetector computed tomography study
المؤلفون: Gonzalo-Calvo, David de, Vilades, David, Martínez-Camblor, Pablo, Vea, Ángela, Ferrero-Gregori, Andreu, Nasarre, Laura, Bornachea, Olga, Sanchez Vega, J., Leta, Rubén, Puig, Núria, Benítez, Sonia, Sánchez-Quesada, José Luís, Carreras, Francesc, Llorente-Cortés, Vicenta
المساهمون: Ministerio de Economía y Competitividad (España), Fundació La Marató de TV3, Instituto de Salud Carlos III, European Commission, Gonzalo-Calvo, David de, Martínez-Camblor, Pablo
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2019
المجموعة: Digital.CSIC (Consejo Superior de Investigaciones Científicas / Spanish National Research Council)
مصطلحات موضوعية: Biomarkers, Cardiometabolic diseases, Epicardial adipose tissue, Epicardial fat, Epicardial fat volume, MicroRNA
الوصف: 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. ; D.d.G.-C. was a recipient of a Juan de la Cierva-Incorporación grant from the Ministerio de Economía y Competitividad (IJCI-2016-29393). O.B. (Project 201521-10) and N.P. (Project 201716) were recipients of Fundació Marató TV3. S.B. and J.L.S.-Q. (2017-SGR-1149) and D.d.G.-C., L.N., À.V., D.V., R.L. and V.L.-C. (2017-SGR-946) are members of Quality Research Groups from Generalitat de Catalunya. S.B., J.L.S.-Q., N.P., V.L.-C. and D.d.G.-C. are members of the Group of Vascular Biology of the Spanish ...
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
تدمد: 2077-0383
العلاقة: #PLACEHOLDER_PARENT_METADATA_VALUE#; info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/IJCI-2016-29393; Publisher’s version; https://doi.org/10.3390/jcm8060780Test; Sí; Journal of Clinical Medicine 8(6): 780 (2019); http://hdl.handle.net/10261/185043Test; http://dx.doi.org/10.13039/501100000780Test; http://dx.doi.org/10.13039/501100004587Test; http://dx.doi.org/10.13039/501100003329Test; http://dx.doi.org/10.13039/100008666Test
DOI: 10.3390/jcm8060780
DOI: 10.13039/501100000780
DOI: 10.13039/501100004587
DOI: 10.13039/501100003329
DOI: 10.13039/100008666
الإتاحة: https://doi.org/10.3390/jcm8060780Test
https://doi.org/10.13039/501100000780Test
https://doi.org/10.13039/501100004587Test
https://doi.org/10.13039/501100003329Test
https://doi.org/10.13039/100008666Test
http://hdl.handle.net/10261/185043Test
حقوق: open
رقم الانضمام: edsbas.E2EF4036
قاعدة البيانات: BASE
الوصف
تدمد:20770383
DOI:10.3390/jcm8060780