ArticleJournal of translational medicine2023
Micro-inflammation related gene signatures are associated with clinical features and immune status of fibromyalgia.
Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- Effects of exercise on pain, fatigue, and quality of life in people with fibromyalgia: a systematic review and meta-analysis of randomized controlled trials.Frontiers in medicine · 2026Pooled it
- The efficacy of acupuncture treatment for fibromyalgia syndrome: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Clinical, neurophysiological and neurochemical effects of non-invasive electrical brain stimulation in fibromyalgia syndrome-a systematic review and meta-analysis.Frontiers in pain research (Lausanne, Switzerland) · 2025Pooled it
- A lesion-derived brain network of somatic symptoms for transdiagnostic individual application.BMC medicine · 2026Article
- Assessment of the Concomitance of Fibromyalgia in Patients with Axial Spondyloarthritis and Rheumatoid Arthritis.Archives of rheumatology · 2026Article
- Development of a Novel 11-Gene Signature Related to Immune Subtypes for FibromyalgiaEndocrine, metabolic & immune disorders drug targets · 2026Article
- Global Disease Control in Inflammatory Arthritis Patients with Fibromyalgia Multi-Failure to Biologic Drugs: Short-Term Impact of Target Therapies on Both Disease Courses.Journal of clinical medicine · 2025Article
- Fibromyalgia: are you a genetic/environmental disease?Pain reports · 2025Review
- Review
- Disruptive compensatory mechanisms in fibromyalgia syndrome and their association with pharmacological agents.Experimental brain research · 2024Article
- Fibromyalgia: A Review of the Pathophysiological Mechanisms and Multidisciplinary Treatment Strategies.Biomedicines · 2024Review
- Inflammation, Autoimmunity, and Infection in Fibromyalgia: A Narrative Review.International journal of molecular sciences · 2024Review
- Unraveling Shared Diagnostic Biomarkers of Fibromyalgia in Ankylosing Spondylitis: Evidence from Comprehensive Bioinformatic Analysis and Experimental Validation.Journal of inflammation research · 2024Article
- Identification and validation of CCL5 as a key gene in HIV infection and pulmonary arterial hypertension.Frontiers in cardiovascular medicine · 2024Article
- Beyond pathogens: the intriguing genetic legacy of endogenous retroviruses in host physiology.Frontiers in cellular and infection microbiology · 2024Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFibromyalgia (FM) is a multifaceted disease. Along with the genetic, environmental and neuro-hormonal factors, inflammation has been assumed to have role in the pathogenesis of FM. The aim of the present study was to explore the differences in clinical features and pathophysiology of FM patients under different inflammatory status.
methodsThe peripheral blood gene expression profile of FM patients in the Gene Expression Omnibus database was downloaded. Differentially expressed inflammatory genes were identified, and two molecular subtypes were constructed according to these genes used unsupervised clustering analysis. The clinical characteristics, immune features and pathways activities were compared further between the two subtypes. Then machine learning was used to perform the feature selection and construct a classification model.
resultsThe patients with FM were divided into micro-inflammation and non-inflammation subtypes according to 54 differentially expressed inflammatory genes. The micro-inflammation group was characterized by more major depression (p = 0.049), higher BMI (p = 0.021), more active dendritic cells (p = 0.010) and neutrophils. Functional enrichment analysis showed that innate immune response and antibacterial response were significantly enriched in micro-inflammation subtype (p < 0.050). Then 5 hub genes (MMP8, ENPP3, MAP2K3, HGF, YES1) were screened thought three feature selection algorithms, an accurate classifier based on the 5 hub DEIGs and 2 clinical parameters were constructed using support vector machine model. Model scoring indicators such as AUC (0.945), accuracy (0.936), F1 score (0.941), Brier score (0.079) and Hosmer-Lemeshow goodness-of-fit test (χ
conclusionMicro-inflammation status in FM was significantly associated with the occurrence of depression and activated innate immune response. Our study calls attention to the pathogenesis of different subtypes of FM.
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