Metabolic profile changes in serum of migraine patients detected using 1H-NMR spectroscopy

Abstract Background 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 (1H-NMR) spectroscopy, metabolites in serum that are associated with lifetime and active migraine by comparing metab...

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Autores principales: Aster V. E. Harder, Lisanne S. Vijfhuizen, Peter Henneman, Ko Willems van Dijk, Cornelia M. van Duijn, Gisela M. Terwindt, Arn M. J. M. van den Maagdenberg
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Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/c17f732caf81412bac23e40ce1b63a1c
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spelling oai:doaj.org-article:c17f732caf81412bac23e40ce1b63a1c2021-11-28T12:36:37ZMetabolic profile changes in serum of migraine patients detected using 1H-NMR spectroscopy10.1186/s10194-021-01357-w1129-23691129-2377https://doaj.org/article/c17f732caf81412bac23e40ce1b63a1c2021-11-01T00:00:00Zhttps://doi.org/10.1186/s10194-021-01357-whttps://doaj.org/toc/1129-2369https://doaj.org/toc/1129-2377Abstract Background 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 (1H-NMR) spectroscopy, metabolites in serum that are associated with lifetime and active migraine by comparing metabolic profiles of patients and controls. Methods Fasting serum samples from 313 migraine patients and 1512 controls from the Erasmus Rucphen Family (ERF) study were available for 1H-NMR spectroscopy. Data was analysed using elastic net regression analysis. Results 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. Conclusion 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.Aster V. E. HarderLisanne S. VijfhuizenPeter HennemanKo Willems van DijkCornelia M. van DuijnGisela M. TerwindtArn M. J. M. van den MaagdenbergBMCarticle1H-NMR spectroscopyMigraineBiomarkerBloodSerumMedicineRENThe Journal of Headache and Pain, Vol 22, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic 1H-NMR spectroscopy
Migraine
Biomarker
Blood
Serum
Medicine
R
spellingShingle 1H-NMR spectroscopy
Migraine
Biomarker
Blood
Serum
Medicine
R
Aster V. E. Harder
Lisanne S. Vijfhuizen
Peter Henneman
Ko Willems van Dijk
Cornelia M. van Duijn
Gisela M. Terwindt
Arn M. J. M. van den Maagdenberg
Metabolic profile changes in serum of migraine patients detected using 1H-NMR spectroscopy
description Abstract Background 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 (1H-NMR) spectroscopy, metabolites in serum that are associated with lifetime and active migraine by comparing metabolic profiles of patients and controls. Methods Fasting serum samples from 313 migraine patients and 1512 controls from the Erasmus Rucphen Family (ERF) study were available for 1H-NMR spectroscopy. Data was analysed using elastic net regression analysis. Results 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. Conclusion 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.
format article
author Aster V. E. Harder
Lisanne S. Vijfhuizen
Peter Henneman
Ko Willems van Dijk
Cornelia M. van Duijn
Gisela M. Terwindt
Arn M. J. M. van den Maagdenberg
author_facet Aster V. E. Harder
Lisanne S. Vijfhuizen
Peter Henneman
Ko Willems van Dijk
Cornelia M. van Duijn
Gisela M. Terwindt
Arn M. J. M. van den Maagdenberg
author_sort Aster V. E. Harder
title Metabolic profile changes in serum of migraine patients detected using 1H-NMR spectroscopy
title_short Metabolic profile changes in serum of migraine patients detected using 1H-NMR spectroscopy
title_full Metabolic profile changes in serum of migraine patients detected using 1H-NMR spectroscopy
title_fullStr Metabolic profile changes in serum of migraine patients detected using 1H-NMR spectroscopy
title_full_unstemmed Metabolic profile changes in serum of migraine patients detected using 1H-NMR spectroscopy
title_sort metabolic profile changes in serum of migraine patients detected using 1h-nmr spectroscopy
publisher BMC
publishDate 2021
url https://doaj.org/article/c17f732caf81412bac23e40ce1b63a1c
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