The Journal of Headache and Pain (Jun 2023)

Sex-specific metabolic profiling to explain the increased CVD risk in women with migraine: a narrative review

  • F. C. van Welie,
  • L. A. Kreft,
  • J. M. A. Huisman,
  • G. M. Terwindt

DOI
https://doi.org/10.1186/s10194-023-01601-5
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 11

Abstract

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Abstract Background Migraine is a disabling neurological disorder whose diagnosis is based on clinical criteria. A shortcoming of these criteria is that they do not fully capture the underlying neurobiological factors and sex-specific complications in migraine such as cardio- and cerebrovascular disease. Biomarker research can help to improve disease characterization and identify pathophysiological mechanism underlying these comorbidities. Objective In this narrative review we searched for sex-specific metabolomics research to identify markers that may explain the migraine-cardiovascular disease (CVD) relationship. Discussion Large-scale plasma metabolome analyses revealed alterations in migraine. Sex-specific findings showed a less CVD-protective HDL metabolism as well as the ApoA1 lipoprotein, especially for women with migraine. To explore other possible pathophysiological pathways, we expanded our review to include inflammatory markers, endothelial and vascular markers and sex hormones. Biological sex differences may affect the pathophysiology of migraine and its complications. Conclusions There is no general large dyslipidemia profile in migraine patients, in line with findings that the increased risk of CVD in migraine patients seems not to be due to (large artery) atherosclerosis. Sex-specific associations are indicative towards a less CVD-protective lipoprotein profile in women with migraine. Future studies into the pathophysiology of CVD and migraine need to take sex specific factors into account. By establishing the overlapping pathophysiological mechanism of migraine and CVD, and unraveling the associated effects these diseases exert on each other, better preventative measures can be identified.

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