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Identification of a MicroRNA Signature for the Diagnosis of Fibromyalgia

BACKGROUND: 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 objectiv...

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Autores principales: Cerdá-Olmedo, Germán, Mena-Durán, Armando Vicente, Monsalve, Vicente, Oltra, Elisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4372601/
https://www.ncbi.nlm.nih.gov/pubmed/25803872
http://dx.doi.org/10.1371/journal.pone.0121903
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author Cerdá-Olmedo, Germán
Mena-Durán, Armando Vicente
Monsalve, Vicente
Oltra, Elisa
author_facet Cerdá-Olmedo, Germán
Mena-Durán, Armando Vicente
Monsalve, Vicente
Oltra, Elisa
author_sort Cerdá-Olmedo, Germán
collection PubMed
description BACKGROUND: 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 addition, knowledge of FM patient miRNomes should lead to a deeper understanding of the etiology and/or symptom severity of this complex disease. METHODS: Genome-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. RESULTS: Microarray 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. CONCLUSIONS: We 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.
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spelling pubmed-43726012015-04-04 Identification of a MicroRNA Signature for the Diagnosis of Fibromyalgia Cerdá-Olmedo, Germán Mena-Durán, Armando Vicente Monsalve, Vicente Oltra, Elisa PLoS One Research Article BACKGROUND: 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 addition, knowledge of FM patient miRNomes should lead to a deeper understanding of the etiology and/or symptom severity of this complex disease. METHODS: Genome-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. RESULTS: Microarray 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. CONCLUSIONS: We 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. Public Library of Science 2015-03-24 /pmc/articles/PMC4372601/ /pubmed/25803872 http://dx.doi.org/10.1371/journal.pone.0121903 Text en © 2015 Cerdá-Olmedo et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Cerdá-Olmedo, Germán
Mena-Durán, Armando Vicente
Monsalve, Vicente
Oltra, Elisa
Identification of a MicroRNA Signature for the Diagnosis of Fibromyalgia
title Identification of a MicroRNA Signature for the Diagnosis of Fibromyalgia
title_full Identification of a MicroRNA Signature for the Diagnosis of Fibromyalgia
title_fullStr Identification of a MicroRNA Signature for the Diagnosis of Fibromyalgia
title_full_unstemmed Identification of a MicroRNA Signature for the Diagnosis of Fibromyalgia
title_short Identification of a MicroRNA Signature for the Diagnosis of Fibromyalgia
title_sort identification of a microrna signature for the diagnosis of fibromyalgia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4372601/
https://www.ncbi.nlm.nih.gov/pubmed/25803872
http://dx.doi.org/10.1371/journal.pone.0121903
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