Pattern of Interleukin-17A and Interleukin-1β in Migraine Patients
Abstract
Background: Migraine is a complex neurological disorder. The precise etiology of migraine is not clear. Many studies have been conducted on the association of the immune system with migraine pathophysiology. Neurogenic inflammation, the main pathomechanism of migraine, is well described. This study evaluated the pattern of changes in interleukin (IL)-1β, IL-17A, total antioxidant capacity (TAC), and malondialdehyde (MDA) in migraine patients. Methods: In this case-control study, serum samples were taken from 31 migraine patients referred to the neurology clinics of medical centers associated with Arak University of Medical Sciences. The severity of the headache was assessed with standard questionnaires. Serum samples were also obtained from 30 normal individuals. The IL-1β and IL-17A levels were measured by a sensitive ELISA method. TAC was measured by the FRAP technique, and lipid peroxidation levels were evaluated by an MDA assay. Data were analyzed descriptively and analytically using SPSS 21 software. Results: The results showed that the mean level of IL-1β in the case group was significantly higher than the control group (P=0.01). The mean level of IL-17A was not significantly different in the two groups. The mean serum MDA level in the study group was significantly higher than in the controls (P=0.005). No statistical difference was observed in the mean serum level of TAC between the two groups. Conclusion: According to our results, the pathogenesis of migraine can be…
How strong is the evidence?
Evidence Hub reads this as a case-control, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 31 participants or records.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.