Objectives: Patients with Behçet's disease (BD) constantly complain of fatigue and many have problems with poor sleep. This ultimately has a major impact on all aspects of normal living. To attempt to understand this, Artificial Intelligence (AI) was used to identify potential biomarkers. These were alpha-melanocyte stimulating hormone (α-MSH), vasoactive intestinal peptide (VIP) and some inflammatory cytokines. We assessed the association of fatigue, quality of sleep and disease activity with circulating concentration of α-MSH, VIP and inflammatory cytokines.
Methods: There were 127 participants, 97 BD patients, and 30 healthy controls (HC). All completed the Multi-Dimensional Assessment of Fatigue questionnaire (MAF) and the Pittsburgh Sleep Quality Index (PSQI) on the day of their clinical assessment. Enzyme-linked immunosorbent assays (ELISA) were used to evaluate the serum concentrations of α-MSH, VIP and cytokines (IL-1β, IL-6, IL-10, and TNF-α).
Results: 64% of BD patients experienced high fatigue scores, and 63% had poor quality of sleep. When BD and HC were compared the MAF and PSQI scores as well as the serum concentrations of α-MSH, VIP, and IL-6 were significantly higher in BD (p values were: 0.001, 0.001, 0.001, 0.004 and 0.036, respectively). Both α-MSH and IL-6 had significant impact on MAF and PSQI. Interestingly, VIP had a significant influence on PSQI and disease activity, but not on MAF.
Conclusions: A better understanding of these complex clinical and biochemical interactions between α-MSH, VIP and IL-6 might lead to the development of novel approaches to manage fatigue and sleep disorders as well as disease activity in BD patients.