MiR-320a as a Potential Novel Circulating Biomarker of Arrhythmogenic CardioMyopathy

Autor: Daniela Riggio, Giulio Pompilio, Mauro Giacca, Valentina Catto, Michela Casella, Elena Sommariva, Silvia Moimas, Claudio Tondo, Corrado Carbucicchio, Gianfranco Sinagra, Fabio Cattaneo, Ilaria Stadiotti, Maria Teresa Sandri, Floriana Maria Farina, Manuela Muratori, Andrea Barbuti, Mattia Chiesa, Gualtiero I. Colombo, Antonio Russo, Matteo Dal Ferro, Gianluca Vernillo, Giulia Vettor, Yuri D'Alessandra, Silvia Brambilla
Přispěvatelé: Sommariva, Elena, D'Alessandra, Yuri, Farina, Floriana Maria, Casella, Michela, Cattaneo, Fabio, Catto, Valentina, Chiesa, Mattia, Stadiotti, Ilaria, Brambilla, Silvia, Dello Russo, Antonio, Carbucicchio, Corrado, Vettor, Giulia, Riggio, Daniela, Sandri, Maria Teresa, Barbuti, Andrea, Vernillo, Gianluca, Muratori, Manuela, Dal Ferro, Matteo, Sinagra, Gianfranco, Moimas, Silvia, Giacca, Mauro, Colombo, Gualtiero Ivanoe, Pompilio, Giulio, Tondo, Claudio
Rok vydání: 2016
Předmět:
Zdroj: Scientific Reports
Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
ISSN: 2045-2322
Popis: Diagnosis of Arrhythmogenic CardioMyopathy (ACM) is challenging and often late after disease onset. No circulating biomarkers are available to date. Given their involvement in several cardiovascular diseases, plasma microRNAs warranted investigation as potential non-invasive diagnostic tools in ACM. We sought to identify circulating microRNAs differentially expressed in ACM with respect to Healthy Controls (HC) and Idiopathic Ventricular Tachycardia patients (IVT), often in differential diagnosis. ACM and HC subjects were screened for plasmatic expression of 377 microRNAs and validation was performed in 36 ACM, 53 HC, 21 IVT. Variable importance in data partition was estimated through Random Forest analysis and accuracy by Receiver Operating Curves. Plasmatic miR-320a showed 0.53 ± 0.04 fold expression difference in ACM vs. HC (p
Databáze: OpenAIRE