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A Preliminary Study on Change of Serum Immunoglobulin G Glycosylation in Patients With Migraine
BACKGROUND AND OBJECTIVE: Migraine is a common neurological disease, but its pathogenesis is still unclear. Previous studies suggested that migraine was related to immunoglobulin G (IgG). We intended to analyze the immune characteristics of migraine from the perspective of IgG glycosylation and prov...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168990/ https://www.ncbi.nlm.nih.gov/pubmed/35677339 http://dx.doi.org/10.3389/fneur.2022.860555 |
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author | Xu, Jingwei Wang, Yuan Han, Yating Liu, Ningfeng Liu, Zhenming Guo, Huailian Zou, Xiajuan Zhang, Jun |
author_facet | Xu, Jingwei Wang, Yuan Han, Yating Liu, Ningfeng Liu, Zhenming Guo, Huailian Zou, Xiajuan Zhang, Jun |
author_sort | Xu, Jingwei |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: Migraine is a common neurological disease, but its pathogenesis is still unclear. Previous studies suggested that migraine was related to immunoglobulin G (IgG). We intended to analyze the immune characteristics of migraine from the perspective of IgG glycosylation and provide theoretical assistance for exploring its pathogenesis. METHODS: The differences in the serum level of IgG glycosylation and glycopeptides between patients with episodic migraine and healthy controls were analyzed by applying the poly(glycerol methacrylate)@chitosan (PGMA@CS) nanomaterial in combination with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). We constructed a binary classification model with a feedforward neural network using PyTorch 1.6.0 in Python 3.8.3 to classify the episodic migraine and healthy control groups. RESULTS: Twenty patients with migraine and 20 healthy controls were enrolled and the blood samples and clinical information were collected. Forty-nine IgG N-glycopeptides were detected in the serum of the subjects. The serum level of N-glycopeptide IgG1 G0-NF (p = 0.012) was increased in patients with migraine. The serum level of N-glycopeptide IgG3/4 G2FS (p = 0.041) was decreased in patients with migraine with family history of headache. It was found that the serum level of the IgG1 G1 (p = 0.004) and IgG2 G0 (p = 0.045) was increased in patients with migraine with aura, while the serum level of IgG2 G0N (p = 0.043) in patients with migraine with aura was significantly lower than that in patients with migraine without aura. In addition, a linear feedforward neural network (FFNN) was used to construct a binary classification model by detected IgG N-glycopeptides. The area under the curve (AUC) value of the binary classification model, which was constructed with 7 IgG N-glycopeptides, was 0.857, suggesting a good prediction performance. Among these IgG N-glycopeptides that were constructed the model, IgG1 G0-NF was overlapped with the differential IgG N-glycopeptide between patients with migraine and healthy controls detected with MALDI-TOF-MS. CONCLUSION: Our results indicated that the serum level of N-glycopeptides IgG1 G0-NF might be one of the important biomarkers for the diagnosis of migraine. To the best of our knowledge, this is the first study about the changes of IgG N-glycosylation in patients with migraine by the method of MALDI-TOF-MS. The results indicated a relationship between the migraine and immune response. |
format | Online Article Text |
id | pubmed-9168990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91689902022-06-07 A Preliminary Study on Change of Serum Immunoglobulin G Glycosylation in Patients With Migraine Xu, Jingwei Wang, Yuan Han, Yating Liu, Ningfeng Liu, Zhenming Guo, Huailian Zou, Xiajuan Zhang, Jun Front Neurol Neurology BACKGROUND AND OBJECTIVE: Migraine is a common neurological disease, but its pathogenesis is still unclear. Previous studies suggested that migraine was related to immunoglobulin G (IgG). We intended to analyze the immune characteristics of migraine from the perspective of IgG glycosylation and provide theoretical assistance for exploring its pathogenesis. METHODS: The differences in the serum level of IgG glycosylation and glycopeptides between patients with episodic migraine and healthy controls were analyzed by applying the poly(glycerol methacrylate)@chitosan (PGMA@CS) nanomaterial in combination with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). We constructed a binary classification model with a feedforward neural network using PyTorch 1.6.0 in Python 3.8.3 to classify the episodic migraine and healthy control groups. RESULTS: Twenty patients with migraine and 20 healthy controls were enrolled and the blood samples and clinical information were collected. Forty-nine IgG N-glycopeptides were detected in the serum of the subjects. The serum level of N-glycopeptide IgG1 G0-NF (p = 0.012) was increased in patients with migraine. The serum level of N-glycopeptide IgG3/4 G2FS (p = 0.041) was decreased in patients with migraine with family history of headache. It was found that the serum level of the IgG1 G1 (p = 0.004) and IgG2 G0 (p = 0.045) was increased in patients with migraine with aura, while the serum level of IgG2 G0N (p = 0.043) in patients with migraine with aura was significantly lower than that in patients with migraine without aura. In addition, a linear feedforward neural network (FFNN) was used to construct a binary classification model by detected IgG N-glycopeptides. The area under the curve (AUC) value of the binary classification model, which was constructed with 7 IgG N-glycopeptides, was 0.857, suggesting a good prediction performance. Among these IgG N-glycopeptides that were constructed the model, IgG1 G0-NF was overlapped with the differential IgG N-glycopeptide between patients with migraine and healthy controls detected with MALDI-TOF-MS. CONCLUSION: Our results indicated that the serum level of N-glycopeptides IgG1 G0-NF might be one of the important biomarkers for the diagnosis of migraine. To the best of our knowledge, this is the first study about the changes of IgG N-glycosylation in patients with migraine by the method of MALDI-TOF-MS. The results indicated a relationship between the migraine and immune response. Frontiers Media S.A. 2022-05-23 /pmc/articles/PMC9168990/ /pubmed/35677339 http://dx.doi.org/10.3389/fneur.2022.860555 Text en Copyright © 2022 Xu, Wang, Han, Liu, Liu, Guo, Zou and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Xu, Jingwei Wang, Yuan Han, Yating Liu, Ningfeng Liu, Zhenming Guo, Huailian Zou, Xiajuan Zhang, Jun A Preliminary Study on Change of Serum Immunoglobulin G Glycosylation in Patients With Migraine |
title | A Preliminary Study on Change of Serum Immunoglobulin G Glycosylation in Patients With Migraine |
title_full | A Preliminary Study on Change of Serum Immunoglobulin G Glycosylation in Patients With Migraine |
title_fullStr | A Preliminary Study on Change of Serum Immunoglobulin G Glycosylation in Patients With Migraine |
title_full_unstemmed | A Preliminary Study on Change of Serum Immunoglobulin G Glycosylation in Patients With Migraine |
title_short | A Preliminary Study on Change of Serum Immunoglobulin G Glycosylation in Patients With Migraine |
title_sort | preliminary study on change of serum immunoglobulin g glycosylation in patients with migraine |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168990/ https://www.ncbi.nlm.nih.gov/pubmed/35677339 http://dx.doi.org/10.3389/fneur.2022.860555 |
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