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

Elena Sommariva, Yuri D'Alessandra, Floriana Maria Farina, Michela Casella, Fabio Cattaneo, Valentina Catto, Mattia Chiesa, Ilaria Stadiotti, Silvia Brambilla, Antonio Dello Russo, Corrado Carbucicchio, Giulia Vettor, Daniela Riggio, Maria Teresa Sandri, Andrea Barbuti, Gianluca Vernillo, Manuela Muratori, Matteo Dal Ferro, Gianfranco Sinagra, Silvia MoimasMauro Giacca, Gualtiero Ivanoe Colombo, Giulio Pompilio, Claudio Tondo

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8 Citations (Scopus)

Abstract

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 < 0.01). A similar trend was observed when comparing ACM (n = 13) and HC (n = 17) with athletic lifestyle, a ACM precipitating factor. Importantly, ACM patients miR-320a showed 0.78 ± 0.05 fold expression change vs. IVT (p = 0.03). When compared to non-invasive ACM diagnostic parameters, miR-320a ranked highly in discriminating ACM vs. IVT and it increased their accuracy. Finally, miR-320a expression did not correlate with ACM severity. Our data suggest that miR-320a may be considered a novel potential biomarker of ACM, specifically useful in ACM vs. IVT differentiation.

Original languageEnglish
Article number4802
JournalScientific Reports
Volume7
Issue number1
DOIs
Publication statusPublished - Dec 1 2017

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Cardiomyopathies
Biomarkers
Ventricular Tachycardia
MicroRNAs
Precipitating Factors
Sports
Life Style
Healthy Volunteers
Differential Diagnosis
Cardiovascular Diseases

ASJC Scopus subject areas

  • General

Cite this

@article{91489d05cdb84c9ca87507cc49fa4b95,
title = "MiR-320a as a Potential Novel Circulating Biomarker of Arrhythmogenic CardioMyopathy",
abstract = "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 < 0.01). A similar trend was observed when comparing ACM (n = 13) and HC (n = 17) with athletic lifestyle, a ACM precipitating factor. Importantly, ACM patients miR-320a showed 0.78 ± 0.05 fold expression change vs. IVT (p = 0.03). When compared to non-invasive ACM diagnostic parameters, miR-320a ranked highly in discriminating ACM vs. IVT and it increased their accuracy. Finally, miR-320a expression did not correlate with ACM severity. Our data suggest that miR-320a may be considered a novel potential biomarker of ACM, specifically useful in ACM vs. IVT differentiation.",
author = "Elena Sommariva and Yuri D'Alessandra and Farina, {Floriana Maria} and Michela Casella and Fabio Cattaneo and Valentina Catto and Mattia Chiesa and Ilaria Stadiotti and Silvia Brambilla and {Dello Russo}, Antonio and Corrado Carbucicchio and Giulia Vettor and Daniela Riggio and Sandri, {Maria Teresa} and Andrea Barbuti and Gianluca Vernillo and Manuela Muratori and {Dal Ferro}, Matteo and Gianfranco Sinagra and Silvia Moimas and Mauro Giacca and Colombo, {Gualtiero Ivanoe} and Giulio Pompilio and Claudio Tondo",
year = "2017",
month = "12",
day = "1",
doi = "10.1038/s41598-017-05001-z",
language = "English",
volume = "7",
journal = "Scientific Reports",
issn = "2045-2322",
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TY - JOUR

T1 - MiR-320a as a Potential Novel Circulating Biomarker of Arrhythmogenic CardioMyopathy

AU - Sommariva, Elena

AU - D'Alessandra, Yuri

AU - Farina, Floriana Maria

AU - Casella, Michela

AU - Cattaneo, Fabio

AU - Catto, Valentina

AU - Chiesa, Mattia

AU - Stadiotti, Ilaria

AU - Brambilla, Silvia

AU - Dello Russo, Antonio

AU - Carbucicchio, Corrado

AU - Vettor, Giulia

AU - Riggio, Daniela

AU - Sandri, Maria Teresa

AU - Barbuti, Andrea

AU - Vernillo, Gianluca

AU - Muratori, Manuela

AU - Dal Ferro, Matteo

AU - Sinagra, Gianfranco

AU - Moimas, Silvia

AU - Giacca, Mauro

AU - Colombo, Gualtiero Ivanoe

AU - Pompilio, Giulio

AU - Tondo, Claudio

PY - 2017/12/1

Y1 - 2017/12/1

N2 - 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 < 0.01). A similar trend was observed when comparing ACM (n = 13) and HC (n = 17) with athletic lifestyle, a ACM precipitating factor. Importantly, ACM patients miR-320a showed 0.78 ± 0.05 fold expression change vs. IVT (p = 0.03). When compared to non-invasive ACM diagnostic parameters, miR-320a ranked highly in discriminating ACM vs. IVT and it increased their accuracy. Finally, miR-320a expression did not correlate with ACM severity. Our data suggest that miR-320a may be considered a novel potential biomarker of ACM, specifically useful in ACM vs. IVT differentiation.

AB - 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 < 0.01). A similar trend was observed when comparing ACM (n = 13) and HC (n = 17) with athletic lifestyle, a ACM precipitating factor. Importantly, ACM patients miR-320a showed 0.78 ± 0.05 fold expression change vs. IVT (p = 0.03). When compared to non-invasive ACM diagnostic parameters, miR-320a ranked highly in discriminating ACM vs. IVT and it increased their accuracy. Finally, miR-320a expression did not correlate with ACM severity. Our data suggest that miR-320a may be considered a novel potential biomarker of ACM, specifically useful in ACM vs. IVT differentiation.

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