1- Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2- Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
3- Skin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Abstract:
Introduction: Migraine is a severe kind of headache with the chance hereditary of 50%. Molecular studies can promote understanding of migraine pathophysiology. One of which is bioinformatics approach that could provide additional information related to the identified biomarkers.
Methods: In this research, migraine genes are studies in terms of interaction pattern to introduce important individuals. Through STRING database Plug-in in Cytoscape, candidate genes for migraine were retrieved and analyzed by related applications. Based on centrality and action types (expression, activation, and inhibition) genes were screened.
Results: Numbers of 33 central genes including seven hub-bottlenecks were identified which 70% of central genes were involved in expression action with each other. Activation was dominate action relative to inhibition between the central genes.
Conclusion: The finding indicates that insulin is the most important gene relative to migraine. It seems regulation of metabolism play critical role in control of migraine.
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Highlights
● Gene activation is the dominant actor in the interactome of migraine.
● Insulin has been found as the most significant related gene in migraine.
● Migraine could be a metabolism-dependent disorder.
Plain Language Summary
Migraine pain disturbs the patient’s lifestyle. There is a lot of information about migraine, however, its management still needs much research. In this study, the molecular aspects of migraine are evaluated to find its controllable biological factors. Targeting these factors may be useful in migraine treatment. The findings of this study showed that metabolism control, especially insulin regulation, plays a critical role in migraine.
Type of Study:
Original |
Subject:
Behavioral Neuroscience Received: 2018/10/19 | Accepted: 2018/11/27 | Published: 2019/07/1