ArticleClinical and experimental rheumatology
Genome-wide expression profiling in the peripheral blood of patients with fibromyalgia.
Article in Clinical and experimental rheumatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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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.
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.
Who cites it
27 citing papers in PubMed, 52 citations in OpenAlex.
- Moving Toward Objective Diagnosis in Fibromyalgia: Emerging Biomarkers and Digital Phenotyping Tools.Biomedicines · 2026Review
- Role of the Endocannabinoid System in Fibromyalgia.Current issues in molecular biology · 2025Review
- Transcriptomic Profiles Associated with Experimental Placebo Effects in Chronic Pain.Clinical pharmacology and therapeutics · 2024Article
- Micro-inflammation related gene signatures are associated with clinical features and immune status of fibromyalgia.Journal of translational medicine · 2023Article
- A Comprehensive Review of the Genetic and Epigenetic Contributions to the Development of Fibromyalgia.Biomedicines · 2023Review
- Molecular endotypes of type 1 and type 2 SLE.Lupus science & medicine · 2023Article
- Use of pain-related gene features to predict depression by support vector machine model in patients with fibromyalgia.Frontiers in genetics · 2023Article
- A compendium of validated pain genes.WIREs mechanisms of disease · 2022Review
- AKAP12 and RNF11 as Diagnostic Markers of Fibromyalgia and Their Correlation with Immune Infiltration.Oxidative medicine and cellular longevity · 2022Article
- Inflammation and Interferon Signatures in Peripheral B-Lymphocytes and Sera of Individuals With Fibromyalgia.Frontiers in immunology · 2022Article
- DNA Methylation Changes in Fibromyalgia Suggest the Role of the Immune-Inflammatory Response and Central Sensitization.Journal of clinical medicine · 2021Article
- Review
- Fibromyalgia: Pathogenesis, Mechanisms, Diagnosis and Treatment Options Update.International journal of molecular sciences · 2021Review
- Efficacy of acupuncture in the treatment of fibromyalgia.Orthopedic reviews · 2021Review
- Chronic Pain Diagnosis Using Machine Learning, Questionnaires, and QST: A Sensitivity Experiment.Diagnostics (Basel, Switzerland) · 2020Article
- Vaccinomics and Adversomics in the Era of Precision Medicine: A Review Based on HBV, MMR, HPV, and COVID-19 Vaccines.Journal of clinical medicine · 2020Review
- Article
- Review
- Article
- The GC-MS metabolomics signature in patients with fibromyalgia syndrome directs to dysbiosis as an aspect contributing factor of FMS pathophysiology.Metabolomics : Official journal of the Metabolomic Society · 2019Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
objectivesFibromyalgia (FM) is a common pain disorder characterized by nociceptive dysregulation. The basic biology of FM is poorly understood. Herein we have used agnostic gene expression as a potential probe for informing its underlying biology and the development of a proof-of-concept diagnostic gene expression signature.
methodsWe analyzed RNA expression in 70 FM patients and 70 healthy controls. The isolated RNA was amplified and hybridized to Affymetrix® Human Gene 1.1 ST Peg arrays. The data was analyzed using Partek Genomics Suite version 6.6.
resultsFibromyalgia patients exhibited a differential expression of 421 genes (p<0.001), several relevant to pathways for pain processing, such as glutamine/glutamate signaling and axonal development. There was also an upregulation of several inflammatory pathways and downregulation of pathways related to hypersensitivity and allergy. Using rigorous diagnostic modeling strategies, we show "locked" gene signatures discovered on Training and Test cohorts, that have a mean Area Under the Curve (AUC) of 0.81 on randomized, independent external data cohorts. Lastly, we identified a subset of 10 probesets that provided a diagnostic sensitivity for FM of 95% and a specificity of 96%. We also show that the signatures for FM were very specific to FM rather than common FM comorbidities.
conclusionsThese findings provide new insights relevant to the pathogenesis of FM, and provide several testable hypotheses that warrant further exploration and also establish the foundation for a first blood-based molecular signature in FM that needs to be validated in larger cohorts of patients.
Indexed as
Identifiers
27157394PMC4888802W2418727604What OpenQuestion holds
Registered trials
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.