Evidence map›Paper›PMID 40196050›Full record

ArticleFrontiers in molecular neuroscience2025

The serum proteomic profile in patients with migraine.

Yating Han, Yuan Wang, Xiajuan Zou, Huailian Guo

Abstract read
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Article in Frontiers in molecular neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Yating HanDepartment of Neurology, Peking University People's Hospital, Beijing, China.
Yuan WangSynthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.
Xiajuan ZouMedical and Healthy Analysis Center, Peking University, Beijing, China.
Huailian GuoDepartment of Neurology, Peking University People's Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Migraine is a paroxysmal headache disorder, which seriously affects the patients' quality of life. However, the pathogenesis of migraine is not clear yet. Proteomics is an emerging technology for studying small molecules and protein components in biological systems. This study aimed to analyze the serum proteome of migraine patients and healthy controls and identify differentially expressed proteins, which could provide a reference for the study of biomarkers and pathophysiological mechanisms of migraine. Methods: Fasting venous blood was collected, and serum was separated. Liquid chromatography-mass spectrometry was used to detect the proteome of the two groups, and MaxQuant was used to analyze the protein profile and identify the differentially expressed proteins. Results: Twenty-seven migraine patients and 20 healthy people matching the age and sex ratio of the migraine group were collected. A total of 27 differentially expressed proteins were identified between migraine and control groups, which were mainly related to immune response, inflammation, glycolysis, lipid metabolism, neurotrophy and development, and so on. Subgroup analysis also identified several differentially expressed proteins between the migraine with aura and the migraine without aura groups and between the ictal and interictal migraine groups. Moreover, the signal pathways that may be related to migraine include the glycolysis/gluconeogenesis pathway and the hypoxia-inducible factor-1 signal pathway. Differentially expressed proteins are mainly distributed in the extracellular area. Related biological processes include complement activation, immunoglobulin receptor binding, and phagocytosis. Discussion: The research screened out several differentially expressed proteins of migraine patients, which may be potential biomarkers, but it still needs verification in further studies with larger sample sizes. Various proteins related to inflammation, immune response, and energy metabolism are differentially expressed between the migraine group and the control group, suggesting that the pathogenesis of migraine may be related to inflammation, immunity, and energy metabolism disorders. In the future, we can further explore the therapeutic targets of migraine in terms of these biological processes.

Indexed as

ACTG1ENO2glycolysisHIF-1 signaling pathwaymigraineproteomics

Identifiers

PMID40196050
PMCPMC11973291

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.