Transcriptomics,Genomics

Dataset Information

54

Identification of a microRNA signature for the diagnosis of fibromyalgia


ABSTRACT: To identify changes in miRNA expression profiles (miRNome) of fibromyalgia patients for the development of a quantitative diagnostic method of FM. 20% of the miRNAs analyzed (233/1212) showed down-regulation of at least 2-fold in patients. Hsa-miR223-3p, hsa-miR451a, hsa-miR338-3p, hsa-miR143-3p, hsa-miR145-5p and hsa-miR-21-5p were at least 4-fold inhibited. Overall design: miRNA content of PBMCs (Peripheral Blood Mononuclear Cells) from either 11 fibromyalgia patients or 10 healthy controls isolated with Ficoll-Paque Premium (GE Healthcare) was examined by microarray analysis. Inhibition of hsa-miR223-3p, hsa-miR451a, hsa-miR338-3p, hsa-miR143-3p, hsa-miR145-5p was further confirmed by qRT-PCR analysis.

INSTRUMENT(S): 3D-Gene Human miRNA V16_1.0.0

SUBMITTER: Satoko Takizawa  

PROVIDER: GSE65033 | GEO | 2015-06-01

SECONDARY ACCESSION(S): PRJNA272737

REPOSITORIES: GEO

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Publications

Identification of a microRNA signature for the diagnosis of fibromyalgia.

Cerdá-Olmedo Germán G   Mena-Durán Armando Vicente AV   Monsalve Vicente V   Oltra Elisa E  

PloS one 20150324 3


Diagnosis 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 addi  ...[more]

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