Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
School of Medical and Health Sciences, Edith Cowan University, Perth, Australia.
OMICS. 2019 Dec;23(12):607-614. doi: 10.1089/omi.2019.0032. Epub 2019 Aug 16.
Glycomics is a new subspecialty in omics systems sciences that offers significant promise for next-generation biomarkers on disease susceptibility, drug target discovery, and precision medicine. In this context, alternative immunoglobulin G (IgG) -glycosylation has been reportedly implicated in several common chronic diseases, although systematic assessment is currently lacking in the literature. We conducted a systematic review of observational studies on IgG -glycan variability and susceptibility to common chronic diseases. Observational studies reporting an association between diseases (such as colorectal cancer, dyslipidemia, ischemic stroke, rheumatoid arthritis, and systemic lupus erythematosus) and IgG -glycans quantified by ultraperformance liquid chromatography were included. The glycans were categorized into 24 initial IgG glycan peaks (GPs). Notably, aging positively correlated with GP1, GP2, GP4-7, GP10, GP11, GP19, and GP24, while negatively correlated with GP8, GP12-15, GP17, GP18, GP20, GP21, and GP23 ( < 0.05). The absolute value of significant correlation coefficients of age and IgG glycans ranged from 0.043 to 0.645. We found that the high levels of GP1-4, GP6, GP7, and GP24 and low levels of GP9, GP13-15, GP18, and GP23 could potentially increase the risk of disease. In conclusion, the present systematic review suggests that the field of glycomics, and GP1-4, GP6, GP7, GP9, GP13-15, GP18, GP23, and GP24 in particular, holds promise for further candidate biomarker research on susceptibility to common chronic diseases.
糖组学是组学系统科学的一个新分支，它为疾病易感性、药物靶点发现和精准医学的下一代生物标志物提供了巨大的潜力。在这种情况下，替代免疫球蛋白 G（IgG）-糖基化据称与几种常见的慢性疾病有关，尽管目前文献中缺乏系统评估。我们对 IgG-聚糖变异性与常见慢性疾病易感性的观察性研究进行了系统评价。纳入了报告疾病（如结直肠癌、血脂异常、缺血性中风、类风湿关节炎和系统性红斑狼疮）与通过超高效液相色谱法定量的 IgG-聚糖之间存在关联的观察性研究。将聚糖分为 24 个初始 IgG 聚糖峰（GP）。值得注意的是，随着年龄的增长，GP1、GP2、GP4-7、GP10、GP11、GP19 和 GP24 呈正相关，而 GP8、GP12-15、GP17、GP18、GP20、GP21 和 GP23 则呈负相关（<0.05）。年龄与 IgG 聚糖的显著相关系数的绝对值范围为 0.043 至 0.645。我们发现，GP1-4、GP6、GP7 和 GP24 水平较高，而 GP9、GP13-15、GP18 和 GP23 水平较低，可能会增加患病风险。总之，本系统评价表明，糖组学领域，特别是 GP1-4、GP6、GP7、GP9、GP13-15、GP18、GP23 和 GP24，有望进一步开展常见慢性疾病易感性候选生物标志物研究。
