MiR103a-3p and miR107 are related to adaptive coping in a cluster of fibromyalgia patients

BACKGROUND: MicroRNA (miRNA) mainly inhibit post-transcriptional gene expression of specific targets and may modulate disease severity. OBJECTIVE: We aimed to identify miRNA signatures distinguishing patient clusters with fibromyalgia syndrome (FMS). SUBJECTS AND METHODS: We previously determined four FMS patient clusters labelled “maladaptive”, “adaptive”, “vulnerable”, and “resilient”. Here, we cluster-wise assessed relative gene expression of miR103a-3p, miR107, miR130a-3p, and miR125a-5p in white blood cell (WBC) RNA of 31 FMS patients and 16 healthy controls. Sum scores of pain-, stress-, and resilience-related questionnaires were correlated with miRNA relative gene expression. A cluster-specific speculative model of a miRNA-mediated regulatory cycle was proposed, and its potential targets verified by the online tool “target scan human”. RESULTS: One-way ANOVA revealed lower gene expression of miR103a-3p, miR107, and miR130a-3p in FMS patients compared to controls (p < 0.05). Follow-up post-hoc tests indicated the highest peak of gene expression of miR103a-3p for the adaptive cluster (p < 0.05), i.e. in patients with low disability in all symptom categories. Gene expression of miR103a-3p correlated with FMS related disability and miR107 with the score “physical abuse” of the trauma questionnaire (p < 0.05). Target scan identified sucrose non-fermentable serine/threonine protein kinase, nuclear factor kappa-b, cyclin dependent kinase, and toll-like receptor 4 as genetic targets of the miR103a/107 miRNA family. CONCLUSION: We show an association between upregulated gene expression of miR103a, tendentially of miR107, and adaptive coping in FMS patients. Validation of this pair of miRNA may enable to identify a somatic resilience factor in FMS.