MicroRNAs in Fibromyalgia: Promising Biomarker Candidates with Implications for Pain

Fibromyalgia is a complex chronic pain syndrome with poorly understood pathophysiology and no definitive biomarker. miRNAs are post-transcriptional regulators that might contribute to mechanisms implicated in fibromyalgia, including central sensitization and immune dysregulation. Several miRNAs have been reported to be altered in patients with fibromyalgia and might be involved in inflammatory, neuronal, and metabolic pathways. Although preliminary studies suggest that miRNA profiles may help distinguish patients with fibromyalgia, findings remain heterogeneous and limited by small sample sizes and methodological variability. miRNAs represent promising candidates for interpreting fibromyalgia pathophysiology and developing minimally invasive biomarkers, although further standardized and adequately powered studies are required to establish their clinical utility. This narrative review summarizes the current evidence on miRNA dysregulation in fibromyalgia and assesses its potential relevance as a biomarker. Particular attention is given to miRNAs dysregulated in fibromyalgia that exhibit similar expression patterns in other painful conditions, with the aim of identifying shared molecular signatures associated with pain. This approach might provide insight into the biological mechanisms underlying fibromyalgia by identifying molecular alterations shared with other painful conditions, supporting its characterization as a disorder involving both chronic pain and altered tissue homeostasis.

Authors

Institutions

Publication Details

Journal
Genes
Published
2026-10-22
DOI
https://doi.org/10.3390/genes17111318
Primary Topic
Fibromyalgia and Chronic Fatigue Syndrome Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MicroRNAs in Fibromyalgia: Promising Biomarker Candidates with Implications for Pain

Eduardo Cimadevilla-Fernández-Pola, Mario García‐Domínguez
Genes
Fibromyalgia and Chronic Fatigue Syndrome Research
article

MicroRNAs in Fibromyalgia: Promising Biomarker Candidates with Implications for Pain

Eduardo Cimadevilla-Fernández-Pola, Mario García‐Domínguez
article en

Abstract

Fibromyalgia is a complex chronic pain syndrome with poorly understood pathophysiology and no definitive biomarker. miRNAs are post-transcriptional regulators that might contribute to mechanisms implicated in fibromyalgia, including central sensitization and immune dysregulation. Several miRNAs have been reported to be altered in patients with fibromyalgia and might be involved in inflammatory, neuronal, and metabolic pathways. Although preliminary studies suggest that miRNA profiles may help distinguish patients with fibromyalgia, findings remain heterogeneous and limited by small sample sizes and methodological variability. miRNAs represent promising candidates for interpreting fibromyalgia pathophysiology and developing minimally invasive biomarkers, although further standardized and adequately powered studies are required to establish their clinical utility. This narrative review summarizes the current evidence on miRNA dysregulation in fibromyalgia and assesses its potential relevance as a biomarker. Particular attention is given to miRNAs dysregulated in fibromyalgia that exhibit similar expression patterns in other painful conditions, with the aim of identifying shared molecular signatures associated with pain. This approach might provide insight into the biological mechanisms underlying fibromyalgia by identifying molecular alterations shared with other painful conditions, supporting its characterization as a disorder involving both chronic pain and altered tissue homeostasis.

GenesVol. 17(11)
Universidad Nebrija (ES), Universidad Alfonso X el Sabio (ES)
Openalex Percentile: Top 13%
Fibromyalgia and Chronic Fatigue Syndrome Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon