Circulating miR-323-3p is a biomarker for cardiomyopathy and an indicator of phenotypic variability in Friedreich’s ataxia patients

Abstract MicroRNAs (miRNAs) are noncoding RNAs that contribute to gene expression modulation by regulating important cellular pathways. In this study, we used small RNA sequencing to identify a series of circulating miRNAs in blood samples taken from Friedreich’s ataxia patients. We were thus able t...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: M. Seco-Cervera, D. González-Rodríguez, J. S. Ibáñez-Cabellos, L. Peiró-Chova, P. González-Cabo, E. García-López, J. J. Vílchez, I. Sanz-Gallego, F. V. Pallardó, J. L. García-Giménez
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
Materias:
R
Q
Acceso en línea:https://doaj.org/article/e6d232ffeb4b41f99d56aff3acabb26b
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:e6d232ffeb4b41f99d56aff3acabb26b
record_format dspace
spelling oai:doaj.org-article:e6d232ffeb4b41f99d56aff3acabb26b2021-12-02T12:32:03ZCirculating miR-323-3p is a biomarker for cardiomyopathy and an indicator of phenotypic variability in Friedreich’s ataxia patients10.1038/s41598-017-04996-92045-2322https://doaj.org/article/e6d232ffeb4b41f99d56aff3acabb26b2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04996-9https://doaj.org/toc/2045-2322Abstract MicroRNAs (miRNAs) are noncoding RNAs that contribute to gene expression modulation by regulating important cellular pathways. In this study, we used small RNA sequencing to identify a series of circulating miRNAs in blood samples taken from Friedreich’s ataxia patients. We were thus able to develop a miRNA biomarker signature to differentiate Friedreich’s ataxia (FRDA) patients from healthy people. Most research on FDRA has focused on understanding the role of frataxin in the mitochondria, and a whole molecular view of pathological pathways underlying FRDA therefore remains to be elucidated. We found seven differentially expressed miRNAs, and we propose that these miRNAs represent key mechanisms in the modulation of several signalling pathways that regulate the physiopathology of FRDA. If this is the case, miRNAs can be used to characterize phenotypic variation in FRDA and stratify patients’ risk of cardiomyopathy. In this study, we identify miR-323-3p as a candidate marker for phenotypic differentiation in FRDA patients suffering from cardiomyopathy. We propose the use of dynamic miRNAs as biomarkers for phenotypic characterization and prognosis of FRDA.M. Seco-CerveraD. González-RodríguezJ. S. Ibáñez-CabellosL. Peiró-ChovaP. González-CaboE. García-LópezJ. J. VílchezI. Sanz-GallegoF. V. PallardóJ. L. García-GiménezNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
M. Seco-Cervera
D. González-Rodríguez
J. S. Ibáñez-Cabellos
L. Peiró-Chova
P. González-Cabo
E. García-López
J. J. Vílchez
I. Sanz-Gallego
F. V. Pallardó
J. L. García-Giménez
Circulating miR-323-3p is a biomarker for cardiomyopathy and an indicator of phenotypic variability in Friedreich’s ataxia patients
description Abstract MicroRNAs (miRNAs) are noncoding RNAs that contribute to gene expression modulation by regulating important cellular pathways. In this study, we used small RNA sequencing to identify a series of circulating miRNAs in blood samples taken from Friedreich’s ataxia patients. We were thus able to develop a miRNA biomarker signature to differentiate Friedreich’s ataxia (FRDA) patients from healthy people. Most research on FDRA has focused on understanding the role of frataxin in the mitochondria, and a whole molecular view of pathological pathways underlying FRDA therefore remains to be elucidated. We found seven differentially expressed miRNAs, and we propose that these miRNAs represent key mechanisms in the modulation of several signalling pathways that regulate the physiopathology of FRDA. If this is the case, miRNAs can be used to characterize phenotypic variation in FRDA and stratify patients’ risk of cardiomyopathy. In this study, we identify miR-323-3p as a candidate marker for phenotypic differentiation in FRDA patients suffering from cardiomyopathy. We propose the use of dynamic miRNAs as biomarkers for phenotypic characterization and prognosis of FRDA.
format article
author M. Seco-Cervera
D. González-Rodríguez
J. S. Ibáñez-Cabellos
L. Peiró-Chova
P. González-Cabo
E. García-López
J. J. Vílchez
I. Sanz-Gallego
F. V. Pallardó
J. L. García-Giménez
author_facet M. Seco-Cervera
D. González-Rodríguez
J. S. Ibáñez-Cabellos
L. Peiró-Chova
P. González-Cabo
E. García-López
J. J. Vílchez
I. Sanz-Gallego
F. V. Pallardó
J. L. García-Giménez
author_sort M. Seco-Cervera
title Circulating miR-323-3p is a biomarker for cardiomyopathy and an indicator of phenotypic variability in Friedreich’s ataxia patients
title_short Circulating miR-323-3p is a biomarker for cardiomyopathy and an indicator of phenotypic variability in Friedreich’s ataxia patients
title_full Circulating miR-323-3p is a biomarker for cardiomyopathy and an indicator of phenotypic variability in Friedreich’s ataxia patients
title_fullStr Circulating miR-323-3p is a biomarker for cardiomyopathy and an indicator of phenotypic variability in Friedreich’s ataxia patients
title_full_unstemmed Circulating miR-323-3p is a biomarker for cardiomyopathy and an indicator of phenotypic variability in Friedreich’s ataxia patients
title_sort circulating mir-323-3p is a biomarker for cardiomyopathy and an indicator of phenotypic variability in friedreich’s ataxia patients
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/e6d232ffeb4b41f99d56aff3acabb26b
work_keys_str_mv AT msecocervera circulatingmir3233pisabiomarkerforcardiomyopathyandanindicatorofphenotypicvariabilityinfriedreichsataxiapatients
AT dgonzalezrodriguez circulatingmir3233pisabiomarkerforcardiomyopathyandanindicatorofphenotypicvariabilityinfriedreichsataxiapatients
AT jsibanezcabellos circulatingmir3233pisabiomarkerforcardiomyopathyandanindicatorofphenotypicvariabilityinfriedreichsataxiapatients
AT lpeirochova circulatingmir3233pisabiomarkerforcardiomyopathyandanindicatorofphenotypicvariabilityinfriedreichsataxiapatients
AT pgonzalezcabo circulatingmir3233pisabiomarkerforcardiomyopathyandanindicatorofphenotypicvariabilityinfriedreichsataxiapatients
AT egarcialopez circulatingmir3233pisabiomarkerforcardiomyopathyandanindicatorofphenotypicvariabilityinfriedreichsataxiapatients
AT jjvilchez circulatingmir3233pisabiomarkerforcardiomyopathyandanindicatorofphenotypicvariabilityinfriedreichsataxiapatients
AT isanzgallego circulatingmir3233pisabiomarkerforcardiomyopathyandanindicatorofphenotypicvariabilityinfriedreichsataxiapatients
AT fvpallardo circulatingmir3233pisabiomarkerforcardiomyopathyandanindicatorofphenotypicvariabilityinfriedreichsataxiapatients
AT jlgarciagimenez circulatingmir3233pisabiomarkerforcardiomyopathyandanindicatorofphenotypicvariabilityinfriedreichsataxiapatients
_version_ 1718394189738147840