Prevalence of migraine in persons with the 3243A>G mutation in mitochondrial DNA.
Abstract
BACKGROUND AND PURPOSE: Over the last three decades mitochondrial dysfunction has been postulated to be a potential mechanism in migraine pathogenesis. The lifetime prevalence of migraine in persons carrying the 3243A>G mutation in mitochondrial DNA was investigated.
METHODS: In this cross-sectional study, 57 mDNA 3243A>G mutation carriers between May 2012 and October 2014 were included. As a control group, a population-based cohort from our epidemiological studies on migraine in Danes was used. History of headache and migraine was obtained by telephone interview, based on a validated semi-structured questionnaire, performed by trained physicians.
RESULTS: The prevalence of migraine is significantly higher in persons carrying the 3243A>G mutation than in controls (58% vs. 18%; P < 0.001). This applies for both subforms of migraine, migraine without aura (47% vs. 12%; P < 0.001) and migraine with aura (18% vs. 6%; P < 0.001), and in females (58% vs. 24%; P < 0.001) and males (58% vs. 12%; P < 0.001) for any migraine.
CONCLUSIONS: A high prevalence of migraine in persons with the mDNA 3243A>G mutation was found. This finding suggests a clinical association between a monogenetically inherited disorder of mitochondrial dysfunction and susceptibility to migraine. Mitochondrial DNA aberrations may contribute to the pathogenesis of migraine.
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.
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.