Web of Science: 4 citations, Scopus: 3 citations, Google Scholar: citations,
A study of differential microRNA expression profile in migraine : the microMIG exploratory study
Gallardo, Víctor J.. (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Gómez-Galván, J. B. (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Asskour, L. (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Torres-Ferrús, Marta (Hospital Universitari Vall d'Hebron)
Alpuente, Alicia (Hospital Universitari Vall d'Hebron)
Caronna, Edoardo (Hospital Universitari Vall d'Hebron)
Pozo-Rosich, Patricia (Hospital Universitari Vall d'Hebron)
Universitat Autònoma de Barcelona

Date: 2023
Abstract: 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. 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. 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. 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.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Language: Anglès
Document: Article ; recerca ; Versió publicada
Subject: Migraine ; Epigenetics ; Epigenetic mechanisms ; Microrna ; Mirna ; Biomarkers ; Personalized medicine
Published in: Journal of headache and pain, Vol. 24 (february 2023) , ISSN 1129-2377

DOI: 10.1186/s10194-023-01542-z
PMID: 36797674


13 p, 1.9 MB

The record appears in these collections:
Articles > Research articles
Articles > Published articles

 Record created 2023-03-02, last modified 2023-12-11



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