Evidence map›Paper›PMID 28701783›Full record

ArticleScientific reports2017

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

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

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

M Seco-CerveraCentro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Spain.
D González-RodríguezInstituto de Investigación Sanitaria INCLIVA, Mixt Unit for rare diseases INCLIVA-CIPF, Avenida de Menéndez y Pelayo, 4, 46010, Valencia, Spain.
J S Ibáñez-CabellosCentro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Spain.
L Peiró-ChovaInstituto de Investigación Sanitaria INCLIVA, Mixt Unit for rare diseases INCLIVA-CIPF, Avenida de Menéndez y Pelayo, 4, 46010, Valencia, Spain.
P González-CaboCentro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Spain.
E García-LópezDepartment of Physiology, Faculty of Medicine and Dentistry, University of Valencia, Av/Blasco Ibáñez, 15, 46010, Valencia, Spain.
J J VílchezCentro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Spain.ORCID 0000-0002-0532-2872
I Sanz-GallegoDepartment of Neurology Hospital Nuestra Señora de Sonsoles, Ávila, Spain.
F V PallardóCentro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Spain. Federico.v.pallardo@uv.es.
J L García-GiménezCentro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Spain. J.luis.garcia@uv.es.ORCID 0000-0001-7547-7872
Universitat de València · ESINCLIVA Health Research Institute · ESCentre for Biomedical Network Research on Rare Diseases · ESHospital Nuestra Señora de Alarcos · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biological Variation, PopulationAdultAgedBiomarkersCardiomyopathiesCase-Control StudiesCell ProliferationCells, CulturedFemaleFollow-Up StudiesFriedreich AtaxiaHigh-Throughput Nucleotide SequencingHumansMaleMicroRNAsMiddle AgedBiomarkersMicroRNAsMIRN323 microRNA, human

Identifiers

PMID28701783
PMCPMC5507909
OpenAlexW2732872496

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.