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Artificial intelligence analysis to explore synchronize exercise, cobalamin, and magnesium as new actors to therapeutic of migraine symptoms: a randomized, placebo-controlled trial

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Abstract

Introduction

Migraine is recognized as a complex neurological disorder that has imposed a social burden. We assessed the signaling pathways and molecular mechanisms based on the in silico analysis and predicted drug candidates by the biomedicine approach. Moreover, we evaluated high-intensity interval training and vitamin B12 + magnesium on women’s migraine attacks and inflammatory status.

Methods

This study computed differential gene expression in migraine syndrome and the dimension network parameters visualized by software. Moreover, we proposed the functional mechanism and binding energy of essential micronutrients on macromolecules based on drug discovery. In this clinical trial, 60 cases were randomized to four groups, including applied high-intensity interval training (HIIT), cases consumed supplementation vitamin B12 and magnesium (Supp), cases applied high-intensity interval training, and consumed supplementation (HIIT + Supp), and migraine cases for 2 months. Serum levels of calcitonin gene-related peptide (CGRP) were measured at baseline and at the end of the study. In addition, migraine disability assessment score (MIDAS), frequency, intensity, and duration were recorded before and during interventions.

Results

In silico study revealed the association between inflammation signaling pathways and pathogenesis of migraine attacks as a remarkable pathomechanism in this disorder. Furthermore, serum concentrations of CGRP were significantly declined in the HIIT + Supp compared with other groups. In addition, MIDAS, frequency, intensity, and duration were reduced in the HIIT + Supp group compared with the other groups.

Conclusion

We found that the synergistic effects of cobalamin and magnesium followed by regular exercise could silence the inflammation signaling pathway, and a combination of HIIT + Supp could ameliorate migraine pain.

Trial registration

This study was registered in the Iranian Registry of Clinical Trials; IRCT code: IRCT20170510033909N12. Approval Data: 2021/06/02.

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Data availability

All of the raw data and materials in the Islamic Azad University Isfahan (Khorasgan) branch are available upon request.

Abbreviations

MD:

Migraine disease

PACAP:

Pituitary adenylate cyclase-activating polypeptide

BKCa:

Large-conductance calcium-activated potassium

KATP:

Adenosine triphosphate-sensitive potassium

CGRP:

Calcitonin gene-related peptide

Mg:

Magnesium

GEO:

Gene Expression Omnibus

ICHDII:

International Classification of Headache Disorders criteria

HIIT:

High-intensity interval training

BMI:

Body mass index

MIDAS:

Migraine disability assessment score

AUC:

Area under the curve

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Acknowledgements

We thank our colleagues for their association and helpful discussions in this study.

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Authors and Affiliations

Authors

Contributions

The study’s design was done by H.M. and F. T., and the experiments were performed by H.M. Analyses and data mining were performed by H.M. The manuscript was written by H.M. and F.T. and was approved by A.C who evaluated and verified migraine patients as an expert neurologist.

Corresponding author

Correspondence to Farzaneh Taghian.

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Ethics approval and consent to participate

All procedures were conducted in accordance with the research ethics committees of the Islamic Azad University Isfahan (Khorasgan) branch (IR.IAU.KHUISF.REC.1400.056). Moreover, this study was registered in the Iranian Registry of Clinical Trials; IRCT code: IRCT20170510033909N12.

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All authors support submission to this journal.

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The authors declare no competing interests.

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Matin, H., Taghian, F. & Chitsaz, A. Artificial intelligence analysis to explore synchronize exercise, cobalamin, and magnesium as new actors to therapeutic of migraine symptoms: a randomized, placebo-controlled trial. Neurol Sci 43, 4413–4424 (2022). https://doi.org/10.1007/s10072-021-05843-6

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  • DOI: https://doi.org/10.1007/s10072-021-05843-6

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