A study of differential microRNA expression profile in migraine: the microMIG exploratory study

Stovner LJ, Nichols E, Steiner TJ, Abd-Allah F, Abdelalim A, Al-Raddadi RM et al (2018) Global, regional, and national burden of migraine and tension-type headache, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 17(11):954–976

Article  Google Scholar 

Stovner LJ, Hagen K, Linde M, Steiner TJ (2022) The global prevalence of headache: an update, with analysis of the influences of methodological factors on prevalence estimates. J Headache Pain 23(1):1–17

Article  Google Scholar 

Headache Classification Committee of the International Headache Society (2018) The International Classification of Headache Disorders, 3rd edition. Cephalalgia 38(1):1–211

Article  Google Scholar 

Lanteri-Minet M (2014) Economic burden and costs of chronic migraine. Curr Pain Headache Rep 18(1):1–6

Article  Google Scholar 

May A, Schulte LH (2016) Chronic migraine: risk factors, mechanisms and treatment. Nat Rev Neurol 12(8):455–464

Article  CAS  PubMed  Google Scholar 

Goadsby PJ, Charbit AR, Andreou AP, Akerman S, Holland PR (2009) Neurobiology of migraine. Neuroscience 161(2):327–341

Article  CAS  PubMed  Google Scholar 

Torres-Ferrús M, Ursitti F, Alpuente A, Brunello F, Chiappino D, de Vries T et al (2020) From transformation to chronification of migraine: pathophysiological and clinical aspects. J Headache Pain 21(1):1–12

Article  Google Scholar 

Bernstein C, Burstein R (2012) Sensitization of the trigeminovascular pathway: perspective and implications to migraine pathophysiology. J Clin Neurol 8(2):89–99

Article  PubMed  PubMed Central  Google Scholar 

Schwedt TJ (2013) Multisensory integration in migraine. Curr Opin Neurol 26(3):248

Article  PubMed  PubMed Central  Google Scholar 

Hautakangas H, Winsvold BS, Ruotsalainen SE, Bjornsdottir G, Harder AVE, Kogelman LJA, et al (2022) Genome-wide analysis of 102,084 migraine cases identifies 123 risk loci and subtype-specific risk alleles. Nat Genet 54(2):152–60

Tammen SA, Friso S, Choi SW (2013) Epigenetics: The link between nature and nurture. Mol Aspects Med 34(4):753–64. https://doi.org/10.1016/j.mam.2012.07.018

Article  CAS  PubMed  Google Scholar 

Gallardo VJ, Vila‐Pueyo M, Pozo‐Rosich P (2023) The impact of epigenetic mechanisms in migraine : Current knowledge and future directions. Cephalalgia 43(2):3331024221145916

Ha M, Kim VN (2014) Regulation of microRNA biogenesis. Nat Rev Mol Cell Biol 15(8):509–524

Article  CAS  PubMed  Google Scholar 

Kos MZ, Puppala S, Cruz D, Neary JL, Kumar A, Dalan E et al (2022) Blood-Based miRNA Biomarkers as Correlates of Brain-Based miRNA Expression. Front Mol Neurosci 15(March):1–13

Google Scholar 

Buzzi MG, Moskowitz MA (2005) The pathophysiology of migraine: Year 2005. J Headache Pain 6(3):105–111

Article  PubMed  PubMed Central  Google Scholar 

Gerring Z, Rodriguez-Acevedo AJ, Powell JE, Griffiths LR, Montgomery GW, Nyholt DR (2016) Blood gene expression studies in migraine: potential and caveats. Cephalalgia 36(7):669–678

Article  PubMed  Google Scholar 

Aczél T, Kun J, Szőke É, Rauch T, Junttila S, Gyenesei A et al (2018) Transcriptional alterations in the trigeminal ganglia, nucleus and peripheral blood mononuclear cells in a rat orofacial pain model. Front Mol Neurosci 11(June):1–14

Google Scholar 

Cheng CY, Chen SP, Liao YC, Fuh JL, Wang YF, Wang SJ (2018) Elevated circulating endothelial-specific microRNAs in migraine patients: a pilot study. Cephalalgia 38(9):1585–1591

Article  PubMed  Google Scholar 

Zhai Y, Zhu YY (2018) MiR-30a relieves migraine by degrading CALCA. Eur Rev Med Pharmacol Sci 22(7):2022–2028

CAS  PubMed  Google Scholar 

Chen S, Chang Y, Chou C, Juan C, Lee H, Chen L et al (2021) Circulating microRNAs associated with reversible cerebral vasoconstriction syndrome. Ann Neurol 89(3):459–473

Article  CAS  PubMed  Google Scholar 

Greco R, de Icco R, Demartini C, Zanaboni AM, Tumelero E, Sances G et al (2020) Plasma levels of CGRP and expression of specific microRNAs in blood cells of episodic and chronic migraine subjects: towards the identification of a panel of peripheral biomarkers of migraine? J Headache Pain 21(1):1–12

Article  Google Scholar 

Chen YH, Wang H (2021) The association between migraine and depression based on miRNA biomarkers and cohort studies. Curr Med Chem 28(27):5648–5656

Article  CAS  PubMed  Google Scholar 

Andersen HH, Duroux M, Gazerani P (2016) Serum microRNA signatures in migraineurs during attacks and in pain-free periods. Mol Neurobiol 53(3):1494–1500

Article  CAS  PubMed  Google Scholar 

Gallelli L, Cione E, Peltrone F, Siviglia S, Verano A, Chirchiglia D et al (2019) Hsa-miR-34a-5p and hsa-miR-375 as biomarkers for monitoring the effects of drug treatment for migraine pain in children and adolescents: a pilot study. J Clin Med 8(7):928

Article  CAS  PubMed  PubMed Central  Google Scholar 

Tafuri E, Santovito D, de Nardis V, Marcantonio P, Paganelli C, Affaitati G et al (2015) MicroRNA profiling in migraine without aura: pilot study. Ann Med 47(6):468–473

Article  PubMed  Google Scholar 

Aczél T, Benczik B, Ágg B, Körtési T, Urbán P, Bauer W et al (2022) Disease-and headache-specific microRNA signatures and their predicted mRNA targets in peripheral blood mononuclear cells in migraineurs: role of inflammatory signalling and oxidative stress. J Headache Pain 23(1):1–20

Article  Google Scholar 

Pérez RF, Santamarina P, Fernández AF, Fraga MF (2019) Epigenetics and lifestyle: the impact of stress, diet, and social habits on tissue homeostasis. Epigenetics Regen 11:461-89

Manokaran S, Binoy A, Bhat D, Babu S, Bhat JG, AH MR (2021) Nutrigenomics in lifestyle disorders: a review. ECS Transactions 107(1):9249

Alegría-Torres JA, Baccarelli A, Bollati V (2011) Epigenetics and lifestyle. Epigenomics 3(3):267–277

Article  PubMed  Google Scholar 

Lee PH, Macfarlane DJ, Lam TH, Stewart SM (2011) Validity of the international physical activity questionnaire short form (IPAQ-SF): A systematic review. Int J Behav Nutr Phys Act 8(1):1–11

Article  Google Scholar 

Melhado EM, Thiers Rister HL, Galego DR, de Oliveira AB, Buttarello IA, Belucio IS et al (2020) Allodynia in menstrually related migraine: score assessment by Allodynia Symptom Checklist (ASC-12). Headache 60(1):162–70

Article  PubMed  Google Scholar 

Kosinski M, Bayliss MS, Bjorner JB, Ware JEJ, Garber WH, Batenhorst A et al (2003) A six-item short-form survey for measuring headache impact: the HIT-6. Qual Life Res 12(8):963–974

Article  CAS  PubMed  Google Scholar 

Stewart WF, Lipton RB, Dowson AJ, Sawyer J (2001) Development and testing of the Migraine Disability Assessment (MIDAS) Questionnaire to assess headache-related disability. Neurology 56(6 Suppl 1):S20–S28

Article  CAS  PubMed  Google Scholar 

Beck A, Steer R, Brown G (1996) Manual for the Beck Depression Inventory-II. In: Gellman MD, Turner JR (eds) San Antonio Psychol Corp. Springer New York, New York, NY. https://doi.org/10.1007/978-1-4419-1005-9_441

Chapter  Google Scholar 

Oei TPS, Evans L, Crook GM (1990) Utility and validity of the STAI with anxiety disorder patients. Br J Clin Psychol 29(4):429–432

Article  CAS  PubMed  Google Scholar 

Sanz-Carrillo C, Garcıa-Campayo J, Rubio A, Santed MA, Montoro M (2002) Validation of the Spanish version of the Perceived Stress Questionnaire. J Psychosom Res 52(3):167–172

Article  CAS  PubMed  Google Scholar 

Team RC (2013) A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria (http://www.R-project.org/)

Google Scholar 

Wickham H (2016) ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag, New York. ISBN 978-3-319-24277-4. https://ggplot2.tidyverse.org

Gentleman RC, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2010;11:202. 2004;5(10):R80.

Kauffmann A, Gentleman R, Huber W (2009) arrayQualityMetrics - A bioconductor package for quality assessment of microarray data. Bioinformatics 25(3):415–416

Article  CAS  PubMed  Google Scholar 

Irizarry RA, Bolstad BM, Collin F, Cope LM, Hobbs B, Speed TP (2003) Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Res 31(4):e15–e15

Article  PubMed  PubMed Central  Google Scholar 

Bolstad BM, Irizarry RA, Astrand M, Speed TP (2003) A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics 19(2):185–193

Article  CAS  PubMed  Google Scholar 

Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W et al (2015) limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res 43(7):e47

Article  PubMed  PubMed Central  Google Scholar 

Leek JT, Johnson WE, Parker HS, Fertig EJ, Jaffe AE, Storey JD et al (2019) sva: Surrogate variable analysis. R package version 3:882–883

Google Scholar 

Lei B, Zhou J, Xuan X, Tian Z, Zhang M, Gao W et al (2019) Circular RNA expression profiles of peripheral blood mononuclear cells in hepatocellular carcinoma patients by sequence analysis. Cancer Med 8(4):1423–1433

Article  CAS  PubMed  PubMed Central  Google Scholar 

Wang M, Liang L, Li L, Han K, Li Q, Peng Y et al (2017) Increased miR-424-5p expression in peripheral blood mononuclear cells from patients with pemphigus. Mol Med Rep 15(6):3479–3484

Article  CAS  PubMed 

留言 (0)

沒有登入
gif