Departments of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands.
Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands.
J Headache Pain. 2021 Nov 24;22(1):142. doi: 10.1186/s10194-021-01357-w.
Migraine is a common brain disorder but reliable diagnostic biomarkers in blood are still lacking. Our aim was to identify, using proton nuclear magnetic resonance (H-NMR) spectroscopy, metabolites in serum that are associated with lifetime and active migraine by comparing metabolic profiles of patients and controls.
Fasting serum samples from 313 migraine patients and 1512 controls from the Erasmus Rucphen Family (ERF) study were available for H-NMR spectroscopy. Data was analysed using elastic net regression analysis.
A total of 100 signals representing 49 different metabolites were detected in 289 cases (of which 150 active migraine patients) and 1360 controls. We were able to identify profiles consisting of 6 metabolites predictive for lifetime migraine status and 22 metabolites predictive for active migraine status. We estimated with subsequent regression models that after correction for age, sex, BMI and smoking, the association with the metabolite profile in active migraine remained. Several of the metabolites in this profile are involved in lipid, glucose and amino acid metabolism.
This study indicates that metabolic profiles, based on serum concentrations of several metabolites, including lipids, amino acids and metabolites of glucose metabolism, can distinguish active migraine patients from controls.
偏头痛是一种常见的脑部疾病，但目前仍缺乏可靠的血液诊断生物标志物。我们旨在通过比较患者和对照组的代谢谱，利用质子磁共振（H-NMR）光谱技术，确定与偏头痛终生和发作相关的血清代谢物。
从伊拉斯谟鲁琛家族（ERF）研究的 313 名偏头痛患者和 1512 名对照者中获得了空腹血清样本，用于 H-NMR 光谱分析。使用弹性网络回归分析对数据进行分析。
在 289 例（其中 150 例为活跃性偏头痛患者）和 1360 例对照者中检测到了代表 49 种不同代谢物的 100 个信号。我们能够识别出由 6 种代谢物组成的预测偏头痛终生状态的特征图谱和由 22 种代谢物组成的预测活跃性偏头痛状态的特征图谱。我们通过后续的回归模型估计，在调整年龄、性别、BMI 和吸烟因素后，与活跃性偏头痛患者的代谢物特征图谱的关联仍然存在。该图谱中的一些代谢物参与脂质、葡萄糖和氨基酸代谢。
这项研究表明，基于几种代谢物（包括脂质、氨基酸和葡萄糖代谢物）的血清浓度的代谢谱可以区分活跃性偏头痛患者和对照组。
