Fibromyalgia & musculoskeletal pain
Blood transcriptome and machine learning identified the crosstalk between COVID-19 and fibromyalgia: a preliminary study
Authors' conclusion
Our study revealed the bridge role of immune dysregulation between COVID-19 and fibromyalgia, and screened underlying biomarkers to provide new clues for further clinical research.
Study context
- Population
- Blood transcriptome data of COVID-19 (GSE177,477) and fibromyalgia (FM) (GSE67,311) patients from GEO database
- Outcome
- Common molecular mechanisms between COVID-19 and FM
Methodological detailsbioinformatics analysis of public blood transcriptome datasets (GEO), machine learning, preliminary study
- Bioinformatics analysis of public blood transcriptome datasets (GEO)
- Machine learning
- Preliminary study
Main finding
As reported in the abstract
Differentially expressed genes (DEGs) identified in the FM dataset
2505
Genes firmly associated with COVID-19 pathological process (WGCNA)
243
Common genes between COVID-19 and FM, primarily involved in immune-related pathways
50
Key genes recognised by machine learning for diagnosis of COVID-19 related FM
3
Original publication
Blood transcriptome and machine learning identified the crosstalk between COVID-19 and fibromyalgia: a preliminary study. Clin Exp Rheumatol. Published 15 December 2022. doi:10.
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