Bioinformatics analysis of gene and microRNA targets for fibromyalgia

• Published in: Clinical and experimental rheumatology Vol. 39; no. 1; p. 21
• Main Authors: Qiu, Yong, Zhang, Teng-Jiao, Meng, Ling-Bing, Cheng, Xu-Tao, Hua, Zhen
• Format: Journal Article
• Language: English
• Published: Italy 01.01.2021
• Subjects: Aged; Computational Biology; Female; Fibromyalgia - genetics; Fibromyalgia - therapy; Gene Expression Profiling; Gene Regulatory Networks; Humans; MicroRNAs - genetics; Middle Aged; Protein Interaction Maps
• ISSN: 0392-856X
• DOI: 10.55563/clinexprheumatol/iitbcp

Fibromyalgia (FM) is the most common chronic pain disease in middle-aged women. Patients may also complain of migraine, irritable bowel syndrome and depression, which seriously affect their work and life, causing huge economic losses to society. However, the pathogenesis of FM is still controversial and the effect of the current treatment is far from satisfactory. Differentially expressed genes (DEGs) and miRNAs (DEMs) were found between FM and normal blood samples. The pathway and process enrichment analysis of the genes were performed. Protein-protein interaction network were constructed. Hub genes were found and analysed in The Comparative Toxicogenomics Database. A total of 102 genes were up-regulated and 46 down-regulated, 206 miRNAs down-regulated, and 15 up-regulated in FM. CD38, GATM, HDC, FOS were found as canditate genes. These genes were significantly associated with musculoskeletal disease, mental disorder, immune system disease. There was partial overlap between metformin therapy-related genes and FM-related genes. We found DEGs and DEMs in FM patients through bioinformatics analysis, which may be involved in the occurrence and development of FM and serve as potential targets for diagnosis and treatment.