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Modeling Neural Immune Signaling of Episodic and Chronic Migraine Using Spreading Depression In Vitro
Published on: June 13, 2011
A study of differential microRNA expression profile in migraine: the microMIG exploratory study
V J Gallardo1, J B Gómez-Galván1, L Asskour1
1Headache and Neurological Pain Research Group, Vall d'Hebron Institute of Research (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.
Background:
Several studies have described potential microRNA (miRNA) biomarkers associated with migraine, but studies are scarcely reproducible primarily due to the heterogeneous variability of participants. Increasing evidence shows that disease-related intrinsic factors together with lifestyle (environmental factors), influence epigenetic mechanisms and in turn, diseases. Hence, the main objective of this exploratory study was to find differentially expressed miRNAs (DE miRNA) in peripheral blood mononuclear cells (PBMC) of patients with migraine compared to healthy controls in a well-controlled homogeneous cohort of non-menopausal women.
Methods:
Patients diagnosed with migraine according to the International Classification of Headache Disorders (ICHD-3) and healthy controls without familial history of headache disorders were recruited. All participants completed a very thorough questionnaire and structured-interview in order to control for environmental factors. RNA was extracted from PBMC and a microarray system (GeneChip miRNA 4.1 Array chip, Affymetrix) was used to determine the miRNA profiles between study groups. Principal components analysis and hierarchical clustering analysis were performed to study samples distribution and random forest (RF) algorithms were computed for the classification task. To evaluate the stability of the results and the prediction error rate, a bootstrap (.632 + rule) was run through all the procedure. Finally, a functional enrichment analysis of selected targets was computed through protein-protein interaction networks.
Results:
After RF classification, three DE miRNA distinguished study groups in a very homogeneous female cohort, controlled by factors such as demographics (age and BMI), life-habits (physical activity, caffeine and alcohol consumptions), comorbidities and clinical features associated to the disease: miR-342-3p, miR-532-3p and miR-758-5p. Sixty-eight target genes were predicted which were linked mainly to enriched ion channels and signaling pathways, neurotransmitter and hormone homeostasis, infectious diseases and circadian entrainment.
Conclusions:
A 3-miRNA (miR-342-3p, miR-532-3p and miR-758-5p) novel signature has been found differentially expressed between controls and patients with migraine. Enrichment analysis showed that these pathways are closely associated with known migraine pathophysiology, which could lead to the first reliable epigenetic biomarker set. Further studies should be performed to validate these findings in a larger and more heterogeneous sample.
Insights
A novel 3-microRNA (miRNA) signature, including miR-342-3p, miR-532-3p, and miR-758-5p, was identified in migraine patients. These epigenetic biomarkers show potential for reliable migraine diagnosis.
Area of Science:
- Genetics
- Epigenetics
- Neuroscience
Background:
- Migraine biomarker research faces reproducibility challenges due to participant heterogeneity.
- Epigenetic mechanisms, influenced by intrinsic and lifestyle factors, are increasingly implicated in disease.
- This study focused on a homogeneous cohort to identify reliable microRNA (miRNA) biomarkers.
Purpose of the Study:
- To identify differentially expressed miRNAs (DE miRNAs) in peripheral blood mononuclear cells (PBMCs) of migraine patients compared to healthy controls.
- To establish a reliable epigenetic biomarker set for migraine diagnosis.
- To investigate the role of miRNAs in migraine pathophysiology.
Main Methods:
- Recruited migraine patients (ICHD-3) and healthy controls, ensuring homogeneity (non-menopausal women).
- Controlled for environmental and lifestyle factors via detailed questionnaires and interviews.
- Utilized microarray analysis for miRNA profiling and random forest algorithms for classification, with bootstrap validation.
Main Results:
- Identified a 3-miRNA signature (miR-342-3p, miR-532-3p, miR-758-5p) differentiating migraine patients from controls.
- These miRNAs were found in a homogeneous cohort, controlling for demographics, lifestyle, and comorbidities.
- Predicted target genes linked to ion channels, signaling pathways, neurotransmitter homeostasis, and circadian entrainment.
Conclusions:
- A novel 3-miRNA signature (miR-342-3p, miR-532-3p, miR-758-5p) is differentially expressed in migraine patients.
- The identified pathways are relevant to migraine pathophysiology, suggesting a potential epigenetic biomarker set.
- Further validation in larger, diverse cohorts is recommended.
