Clinical, Immunological and Metabolomic Factors for Fibromyalgia in Myopathy Patients

A cross-sectional study of 49 patients with idiopathic inflammatory myopathies in remission investigates factors associated with fibromyalgia. The dataset includes clinical assessments, flow cytometry, cytokine assays, and untargeted metabolomic profiling. It was authored by Beatriz Alcalá-Carmona and published on figshare in April 2026.

Use Cases

• Identify clinical risk factors for fibromyalgia based on patient global assessment scores and prednisone use.
• Analyze immune dysregulation patterns based on flow cytometry data showing reduced non-classical monocytes and lymphocytes.
• Investigate metabolic alterations associated with nociplastic pain based on lower concentrations of tryptophan and nonanoic acid.
• Develop screening protocols for fibromyalgia in autoimmune patient populations based on the reported 40.8% prevalence.

Strengths

• Multimodal data collection includes clinical, immunological, and metabolomic profiling from a single cohort.
• The study reports a specific fibromyalgia prevalence of 40.8% within the patient cohort.
• Analysis identifies concrete associations with elevated serum IL-6 and MCP-1 levels.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small in scale at 354.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Cross-sectional clinical study involving patient evaluation, laboratory assays, and metabolomic profiling.

Freshness

Last updated 2026-04-24 05:40:17; freshness should be verified.