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

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

doi:10.1186/s10194-021-01357-w

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

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^*

^*Corresponding author for this work

Epidemiology

Research output: Contribution to journal › Article › Academic › peer-review

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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.

Original language	English
Article number	142
Journal	Journal of Headache and Pain
Volume	22
Issue number	1
DOIs	https://doi.org/10.1186/s10194-021-01357-w
Publication status	Published - 24 Nov 2021

Bibliographical note

Funding Information:
This work was supported by grants from the Netherlands Organization for Scientific Research (NWO) (907–00-217, G.M.T; VIDI 91711319, G.M.T.); the Centre for Medical Systems Biology.

Funding Information:
Thanks to all study participants from the Erasmus Rucphen Family and their relatives, general practitioners, and neurologists for their contributions. We thank Dr. Oleg A. Mayboroda, from the Center for Proteomics and Metabolomics (LUMC), in which the NMR analyses were done, for critical reading of the manuscript and Dr. Boukje de Vries for technical help and support.

Funding Information:
(CMSB) and Netherlands Consortium for Systems Biology (NCSB), both within the framework of the Netherlands Genomics Initiative (NGI)/NWO (to A.M.J.M.v.d.M.); and the FP7 EU project EUROHEADPAIN (no. 602633) (to A.M.J.M.v.d.M. and G.M.T.). They had no role in the design or conduct of the study. The ERF study is part of EUROSPAN (European Special Populations Research Network) FP6 STRP (no.018947 LSHG-CT-2006-01947) and also received funding from the European Community’s Seventh Framework Programme (FP7/2007–2013)/grant agreement HEALTH-F4–2007-201413 by the European Commission under the programme “Quality of Life and Management of the Living Resources” of 5th Framework Programme (no. QLG2-CT-2002-01254) as well as FP7 project EUROHEADPAIN (nr 602633).

Publisher Copyright:
© 2021, The Author(s).

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@article{8b38fed5fb234bb08cfe179803b8a2dc,

title = "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 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.",

author = "Harder, {Aster V.E.} and Vijfhuizen, {Lisanne S.} and Peter Henneman and {Willems van Dijk}, Ko and {van Duijn}, {Cornelia M.} and Terwindt, {Gisela M.} and {van den Maagdenberg}, {Arn M.J.M.}",

note = "Funding Information: This work was supported by grants from the Netherlands Organization for Scientific Research (NWO) (907–00-217, G.M.T; VIDI 91711319, G.M.T.); the Centre for Medical Systems Biology. Funding Information: Thanks to all study participants from the Erasmus Rucphen Family and their relatives, general practitioners, and neurologists for their contributions. We thank Dr. Oleg A. Mayboroda, from the Center for Proteomics and Metabolomics (LUMC), in which the NMR analyses were done, for critical reading of the manuscript and Dr. Boukje de Vries for technical help and support. Funding Information: (CMSB) and Netherlands Consortium for Systems Biology (NCSB), both within the framework of the Netherlands Genomics Initiative (NGI)/NWO (to A.M.J.M.v.d.M.); and the FP7 EU project EUROHEADPAIN (no. 602633) (to A.M.J.M.v.d.M. and G.M.T.). They had no role in the design or conduct of the study. The ERF study is part of EUROSPAN (European Special Populations Research Network) FP6 STRP (no.018947 LSHG-CT-2006-01947) and also received funding from the European Community{\textquoteright}s Seventh Framework Programme (FP7/2007–2013)/grant agreement HEALTH-F4–2007-201413 by the European Commission under the programme “Quality of Life and Management of the Living Resources” of 5th Framework Programme (no. QLG2-CT-2002-01254) as well as FP7 project EUROHEADPAIN (nr 602633). Publisher Copyright: {\textcopyright} 2021, The Author(s).",

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doi = "10.1186/s10194-021-01357-w",

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T1 - Metabolic profile changes in serum of migraine patients detected using 1H-NMR spectroscopy

AU - Harder, Aster V.E.

AU - Vijfhuizen, Lisanne S.

AU - Henneman, Peter

AU - Willems van Dijk, Ko

AU - van Duijn, Cornelia M.

AU - Terwindt, Gisela M.

AU - van den Maagdenberg, Arn M.J.M.

N1 - Funding Information: This work was supported by grants from the Netherlands Organization for Scientific Research (NWO) (907–00-217, G.M.T; VIDI 91711319, G.M.T.); the Centre for Medical Systems Biology. Funding Information: Thanks to all study participants from the Erasmus Rucphen Family and their relatives, general practitioners, and neurologists for their contributions. We thank Dr. Oleg A. Mayboroda, from the Center for Proteomics and Metabolomics (LUMC), in which the NMR analyses were done, for critical reading of the manuscript and Dr. Boukje de Vries for technical help and support. Funding Information: (CMSB) and Netherlands Consortium for Systems Biology (NCSB), both within the framework of the Netherlands Genomics Initiative (NGI)/NWO (to A.M.J.M.v.d.M.); and the FP7 EU project EUROHEADPAIN (no. 602633) (to A.M.J.M.v.d.M. and G.M.T.). They had no role in the design or conduct of the study. The ERF study is part of EUROSPAN (European Special Populations Research Network) FP6 STRP (no.018947 LSHG-CT-2006-01947) and also received funding from the European Community’s Seventh Framework Programme (FP7/2007–2013)/grant agreement HEALTH-F4–2007-201413 by the European Commission under the programme “Quality of Life and Management of the Living Resources” of 5th Framework Programme (no. QLG2-CT-2002-01254) as well as FP7 project EUROHEADPAIN (nr 602633). Publisher Copyright: © 2021, The Author(s).

PY - 2021/11/24

Y1 - 2021/11/24

N2 - 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.

AB - 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.

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

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