The association between plasma IgG N-glycosylation and neonatal hypoxic–ischemic encephalopathy: a case-control study

• Published in: Frontiers in cellular neuroscience Vol. 18; p. 1335688
• Main Authors: Wang, Liangao, Lu, Xinxia, Wang, Meng, Zhao, Xuezhen, Li, Peirui, Zhang, Haitao, Meng, Qingtang, Zhang, Yujing, Wang, Yingjie, Wang, Wei, Ji, Long, Hou, Haifeng, Li, Dong
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 20.03.2024; Frontiers Media S.A
• Subjects: biomarker; Biomarkers; Birth weight; Brain injury; Cellular Neuroscience; Cytotoxicity; Disease; Encephalopathy; Fetuses; Globulins; Glycosylation; Hypoxia; hypoxic-ischemic encephalopathy; IgG; Immune response; Immunoglobulin G; Immunoglobulins; Inflammatory diseases; Ischemia; Liquid chromatography; Low birth weight; Mann-Whitney U test; Medical imaging; N-glycans; neonate; Neonates; Neuroimaging; Plasma; Polysaccharides; Prediction models; Regression analysis; Software; Statistical analysis; Variables; United States > US; IgG; glycosylation; neonate; biomarker; hypoxic-ischemic encephalopathy
• ISSN: 1662-5102; 1662-5102
• DOI: 10.3389/fncel.2024.1335688

Hypoxic-ischemic encephalopathy (HIE) is one of severe neonatal brain injuries, resulting from inflammation and the immune response after perinatal hypoxia and ischemia. IgG N-glycosylation plays a crucial role in various inflammatory diseases through mediating the balance between anti-inflammatory and pro-inflammatory responses. This study aimed to explore the effect of IgG N-glycosylation on the development of HIE. This case-control study included 53 HIE patients and 57 control neonates. An ultrahigh-performance liquid chromatography (UPLC) method was used to determine the features of the plasma IgG N-glycans, by which 24 initial glycan peaks (GPs) were quantified. Multivariate logistic regression was used to examine the association between initial glycans and HIE, by which the significant parameters were used to develop a diagnostic model. Though receiver operating characteristic (ROC) curves, area under the curve (AUC) and 95% confidence interval (CI) were calculated to assess the performance of the diagnostic model. There were significant differences in 11 initial glycans between the patient and control groups. The levels of fucosylated and galactosylated glycans were significantly lower in HIE patients than in control individuals, while sialylated glycans were higher in HIE patients ( < 0.05). A prediction model was developed using three initial IgG N-glycans and fetal distress, low birth weight, and globulin. The ROC analysis showed that this model was able to discriminate between HIE patients and healthy individuals [AUC = 0.798, 95% CI: (0.716-0.880)]. IgG N-glycosylation may play a role in the pathogenesis of HIE. Plasma IgG N-glycans are potential noninvasive biomarkers for screening individuals at high risk of HIE.