{"title":"免疫球蛋白G - n糖基化与炎症因子:烟雾病诊断的生物标志物分析。","authors":"Xu Zan, Chao Liu, Xinyue Wang, Shuyu Sun, Zhongchen Li, Wenyu Zhang, Tanggui Sun, Jiheng Hao, Liyong Zhang","doi":"10.2147/JIR.S512707","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>N-glycosylation-modified immunoglobulin G (IgG) is crucial for managing the inflammatory response balance and significantly influences the progression of many inflammatory disorders. IgG N-glycosylation has been demonstrated to correlate with many risk factors for moyamoya disease (MMD), such as hypertension, diabetes, and dyslipidemia. This research aimed to evaluate the diagnostic efficacy of IgG N-glycosylation for MMD.</p><p><strong>Methods: </strong>Ultra-high-performance liquid chromatography (UPLC) was employed to examine the properties of IgG N-glycans in blood samples from 116 patients with MMD and 126 controls, resulting in the quantitative determination of 24 initial glycan peaks (GP). Through the Lasso algorithm and multivariate logistic regression analysis, we constructed a diagnostic model based on initial glycans and related inflammatory factors to distinguish MMD patients from healthy individuals.</p><p><strong>Results: </strong>After adjusting for potential confounding variables, including age, fasting blood glucose (FBG), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), neutrophil count (NEUT), and lymphocyte count (LYM), our study demonstrated significant differences in the characteristics of 6 initial glycans and 16 derived glycans between the MMD cohort and the healthy control group. Based on the above findings, we developed an MMD diagnostic model that combines initial glycans with related inflammatory factors. The curve of receiver operating characteristic (ROC) was utilized to evaluate the model's ability to distinguish MMD patients from healthy subjects. The findings indicated a robust area under the curve (AUC) of 0.963 (95% CI: 0.940, 0.987).</p><p><strong>Conclusion: </strong>This study found that the occurrence and progression of MMD may be associated with decreased levels of sialylation, galactosylation, and fucosylation and increased bisecting GlcNAc. This may be involved in the occurrence of MMD by regulating the balance of inflammation. Therefore, the IgG N-glycosylation is expected to become a potential biomarker for the screening of MMD.</p>","PeriodicalId":16107,"journal":{"name":"Journal of Inflammation Research","volume":"18 ","pages":"5447-5462"},"PeriodicalIF":4.2000,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12036608/pdf/","citationCount":"0","resultStr":"{\"title\":\"Immunoglobulin G N-Glycosylation and Inflammatory Factors: Analysis of Biomarkers for the Diagnosis of Moyamoya Disease.\",\"authors\":\"Xu Zan, Chao Liu, Xinyue Wang, Shuyu Sun, Zhongchen Li, Wenyu Zhang, Tanggui Sun, Jiheng Hao, Liyong Zhang\",\"doi\":\"10.2147/JIR.S512707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>N-glycosylation-modified immunoglobulin G (IgG) is crucial for managing the inflammatory response balance and significantly influences the progression of many inflammatory disorders. IgG N-glycosylation has been demonstrated to correlate with many risk factors for moyamoya disease (MMD), such as hypertension, diabetes, and dyslipidemia. This research aimed to evaluate the diagnostic efficacy of IgG N-glycosylation for MMD.</p><p><strong>Methods: </strong>Ultra-high-performance liquid chromatography (UPLC) was employed to examine the properties of IgG N-glycans in blood samples from 116 patients with MMD and 126 controls, resulting in the quantitative determination of 24 initial glycan peaks (GP). Through the Lasso algorithm and multivariate logistic regression analysis, we constructed a diagnostic model based on initial glycans and related inflammatory factors to distinguish MMD patients from healthy individuals.</p><p><strong>Results: </strong>After adjusting for potential confounding variables, including age, fasting blood glucose (FBG), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), neutrophil count (NEUT), and lymphocyte count (LYM), our study demonstrated significant differences in the characteristics of 6 initial glycans and 16 derived glycans between the MMD cohort and the healthy control group. Based on the above findings, we developed an MMD diagnostic model that combines initial glycans with related inflammatory factors. The curve of receiver operating characteristic (ROC) was utilized to evaluate the model's ability to distinguish MMD patients from healthy subjects. The findings indicated a robust area under the curve (AUC) of 0.963 (95% CI: 0.940, 0.987).</p><p><strong>Conclusion: </strong>This study found that the occurrence and progression of MMD may be associated with decreased levels of sialylation, galactosylation, and fucosylation and increased bisecting GlcNAc. This may be involved in the occurrence of MMD by regulating the balance of inflammation. Therefore, the IgG N-glycosylation is expected to become a potential biomarker for the screening of MMD.</p>\",\"PeriodicalId\":16107,\"journal\":{\"name\":\"Journal of Inflammation Research\",\"volume\":\"18 \",\"pages\":\"5447-5462\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12036608/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Inflammation Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/JIR.S512707\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Inflammation Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/JIR.S512707","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
目的:n-糖基化修饰的免疫球蛋白G (IgG)在控制炎症反应平衡中起着至关重要的作用,并显著影响许多炎症疾病的进展。IgG n -糖基化已被证明与烟雾病(MMD)的许多危险因素相关,如高血压、糖尿病和血脂异常。本研究旨在评价IgG n -糖基化对烟雾病的诊断价值。方法:采用超高效液相色谱法(UPLC)检测116例烟雾病患者和126例对照者血样中IgG n -聚糖的性质,定量测定24个初始聚糖峰(GP)。通过Lasso算法和多变量logistic回归分析,我们构建了基于初始聚糖和相关炎症因子的烟雾病患者与健康人的诊断模型。结果:在调整了潜在的混杂变量,包括年龄、空腹血糖(FBG)、总胆固醇(TC)、高密度脂蛋白(HDL)、低密度脂蛋白(LDL)、中性粒细胞计数(NEUT)和淋巴细胞计数(LYM)后,我们的研究显示,烟雾病队列与健康对照组之间6种初始聚糖和16种衍生聚糖的特征存在显著差异。基于上述发现,我们建立了一种结合初始聚糖和相关炎症因子的烟雾病诊断模型。采用受试者工作特征曲线(ROC)评价该模型区分烟雾病患者与健康受试者的能力。结果表明,曲线下稳健面积(AUC)为0.963 (95% CI: 0.940, 0.987)。结论:本研究发现,烟雾病的发生和发展可能与唾液化、半乳糖化、聚焦化水平降低和分割GlcNAc升高有关。这可能通过调节炎症平衡参与烟雾病的发生。因此,IgG n -糖基化有望成为筛选烟雾病的潜在生物标志物。
Immunoglobulin G N-Glycosylation and Inflammatory Factors: Analysis of Biomarkers for the Diagnosis of Moyamoya Disease.
Purpose: N-glycosylation-modified immunoglobulin G (IgG) is crucial for managing the inflammatory response balance and significantly influences the progression of many inflammatory disorders. IgG N-glycosylation has been demonstrated to correlate with many risk factors for moyamoya disease (MMD), such as hypertension, diabetes, and dyslipidemia. This research aimed to evaluate the diagnostic efficacy of IgG N-glycosylation for MMD.
Methods: Ultra-high-performance liquid chromatography (UPLC) was employed to examine the properties of IgG N-glycans in blood samples from 116 patients with MMD and 126 controls, resulting in the quantitative determination of 24 initial glycan peaks (GP). Through the Lasso algorithm and multivariate logistic regression analysis, we constructed a diagnostic model based on initial glycans and related inflammatory factors to distinguish MMD patients from healthy individuals.
Results: After adjusting for potential confounding variables, including age, fasting blood glucose (FBG), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), neutrophil count (NEUT), and lymphocyte count (LYM), our study demonstrated significant differences in the characteristics of 6 initial glycans and 16 derived glycans between the MMD cohort and the healthy control group. Based on the above findings, we developed an MMD diagnostic model that combines initial glycans with related inflammatory factors. The curve of receiver operating characteristic (ROC) was utilized to evaluate the model's ability to distinguish MMD patients from healthy subjects. The findings indicated a robust area under the curve (AUC) of 0.963 (95% CI: 0.940, 0.987).
Conclusion: This study found that the occurrence and progression of MMD may be associated with decreased levels of sialylation, galactosylation, and fucosylation and increased bisecting GlcNAc. This may be involved in the occurrence of MMD by regulating the balance of inflammation. Therefore, the IgG N-glycosylation is expected to become a potential biomarker for the screening of MMD.
期刊介绍:
An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.