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Are we closer to achieving precision medicine for migraine treatment? A narrative review.

dc.contributor.authorIhara, Keiko
dc.contributor.authorCasillo, Francesco
dc.contributor.authorDahshan, Ahmed
dc.contributor.authorGenç, Hamit
dc.contributor.authorJusupova, Asel
dc.contributor.authorKarbozova, Kunduz
dc.contributor.authorLee, Wonwoo
dc.contributor.authorLiaw, Yi Chia
dc.contributor.authorMavridis, Theodoros
dc.contributor.authorPark, Hong-Kyun
dc.contributor.authorPolat, Burcu
dc.contributor.authorUnt, Triin Helin
dc.contributor.authorVashchenko, Nina
dc.contributor.authorZhantleuova, Aisha
dc.contributor.authorPozo-Rosich, Patricia
dc.contributor.authorSchwedt, Todd J
dc.date.accessioned2024-10-07T09:00:31Z
dc.date.available2024-10-07T09:00:31Z
dc.date.issued2024-09en
dc.identifier.pmid39256924
dc.identifier.doi10.1177/03331024241281518
dc.identifier.urihttp://hdl.handle.net/10147/643029
dc.descriptionBackground: The term 'precision medicine' encompasses strategies to optimize diagnosis and outcome prediction and to tailor treatment for individual patients, in consideration of their unique characteristics. The greater availability of multifaceted datasets and strategies to model such data have made precision medicine increasingly possible in recent years. Precision medicine is especially needed in the migraine field since the response to migraine treatments is not universal amongst all individuals with migraine. Objective: To provide a narrative review describing contributions to achieving precision medicine for migraine treatment. Methods: A search of PubMed for English language articles of human participants published from 2005 to January 2024 was conducted to identify articles that reported research contributing to precision medicine for migraine treatment. The published literature was categorized and summarized according to the type of data that were included: clinical phenotypes, genomics, proteomics, physiologic measures, and brain imaging. Results: Published studies have investigated characteristics associated with acute and preventive treatment responses, such as nonsteroidal anti-inflammatory drugs, triptans, onabotulinumtoxinA, and anti-calcitonin gene-related peptide monoclonal antibodies, in patients with episodic or chronic migraine. There is evidence that clinical, genetic, epigenetic, proteomic, physiologic, and brain imaging features might associate with migraine treatment outcomes, although inconsistencies for such findings clearly exist. Conclusions: The published literature suggests that there are clinical and biological features which associate with, and might be useful for predicting, migraine treatment responses. To achieve precision medicine for migraine treatment, further research is needed that validates and expands on existing findings and tests the accuracy and value of migraine treatment prediction models in clinical settings.en_US
dc.language.isoenen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectgenomicsen_US
dc.subjectheadacheen_US
dc.subjectImagingen_US
dc.subjectMigraineen_US
dc.subjectpersonalized medicineen_US
dc.subjectprecision medicineen_US
dc.subjectPredictionen_US
dc.subjectproteomicsen_US
dc.subjectTreatmenten_US
dc.titleAre we closer to achieving precision medicine for migraine treatment? A narrative review.en_US
dc.typeArticleen_US
dc.identifier.eissn1468-2982
dc.identifier.journalCephalalgia : an international journal of headacheen_US
dc.source.journaltitleCephalalgia : an international journal of headache
dc.source.volume44
dc.source.issue9
dc.source.beginpage3331024241281518
dc.source.endpage
refterms.dateFOA2024-10-07T09:00:33Z
dc.source.countryEngland


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International