Evidence map›Paper›PMID 25803872›Full record

ArticlePloS one2015

Identification of a microRNA signature for the diagnosis of fibromyalgia.

Germán Cerdá-Olmedo, Armando Vicente Mena-Durán, Vicente Monsalve, Elisa Oltra

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 59 citations in OpenAlex.

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  11. Common miRNAs of Osteoporosis and Fibromyalgia: A Review.International journal of molecular sciences · 2023
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  14. Novel Approaches in Molecular Imaging and Neuroimaging of Fibromyalgia.International journal of molecular sciences · 2022
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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

4 authors at 2 institutions in 1 country.

Germán Cerdá-OlmedoFacultad de Medicina, Universidad Católica de Valencia "San Vicente Mártir", Valencia, Spain; Cátedra Umivale en innovación e investigación en patologías del trabajo, Valencia, Spain.
Armando Vicente Mena-DuránFacultad de Medicina, Universidad Católica de Valencia "San Vicente Mártir", Valencia, Spain.
Vicente MonsalveFacultad de Medicina, Universidad Católica de Valencia "San Vicente Mártir", Valencia, Spain.
Elisa OltraFacultad de Medicina, Universidad Católica de Valencia "San Vicente Mártir", Valencia, Spain; Instituto Valenciano de Patología (IVP) de la Universidad Católica de Valencia "San Vicente Mártir", Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain.
Valencia Catholic University Saint Vincent Martyr · ESCentro de Investigacion Principe Felipe · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnosis of fibromyalgia (FM), a chronic musculoskeletal pain syndrome characterized by generalized body pain, hyperalgesia and other functional and emotional comorbidities, is a challenging process hindered by symptom heterogeneity and clinical overlap with other disorders. No objective diagnostic method exists at present. The aim of this study was to identify changes in miRNA expression profiles (miRNome) of these patients for the development of a quantitative diagnostic method of FM. In addition, knowledge of FM patient miRNomes should lead to a deeper understanding of the etiology and/or symptom severity of this complex disease.

methodsGenome-wide expression profiling of miRNAs was assessed in Peripheral Blood Mononuclear Cells (PBMCs) of FM patients (N=11) and population-age-matched controls (N=10) using human v16-miRbase 3D-Gene microarrays (Toray Industries, Japan). Selected miRNAs from the screen were further validated by RT-qPCR. Participating patients were long term sufferers (over 10 years) diagnosed by more than one specialist under 1990 American College of Rheumatology criteria.

resultsMicroarray analysis of FM patient PBMCs evidenced a marked downregulation of hsa-miR223-3p, hsa-miR451a, hsa-miR338-3p, hsa-miR143-3p, hsa-miR145-5p and hsa-miR-21-5p (4-fold or more). All but the mildest inhibited miRNA, hsa-miR-21-5p, were validated by RT-qPCR. Globally, 20% of the miRNAs analyzed (233/1212) showed downregulation of at least 2-fold in patients. This might indicate a general de-regulation of the miRNA synthetic pathway in FM. No significant correlations between miRNA inhibition and FM cardinal symptoms could be identified. However, the patient with the lowest score for mental fatigue coincided with the mildest inhibition in four of the five miRNAs associated with the FM-group.

conclusionsWe propose a signature of five strikingly downregulated miRNAs (hsa-miR223-3p, hsa-miR451a, hsa-miR338-3p, hsa-miR143-3p and hsa-miR145-5p) to be used as biomarkers of FM. Validation in larger study groups is required before the results can be transferred to the clinic.

Indexed as

BiomarkersFibromyalgiaGene Expression ProfilingHumansMicroarray AnalysisMicroRNAsBiomarkersMicroRNAs

Identifiers

PMID25803872
PMCPMC4372601
OpenAlexW2034182822

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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.