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Loci associated with N-glycosylation of human immunoglobulin G show pleiotropy with autoimmune diseases and haematological cancers

机译:与人免疫球蛋白G的N-糖基化相关的基因座在自身免疫性疾病和血液系统癌症中表现出多效性

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摘要

Glycosylation of immunoglobulin G (IgG) influences IgG effector function by modulating binding to Fc receptors. To identify genetic loci associated with IgG glycosylation, we quantitated N-linked IgG glycans using two approaches. After isolating IgG from human plasma, we performed 77 quantitative measurements of N-glycosylation using ultra-performance liquid chromatography (UPLC) in 2,247 individuals from four European discovery populations. In parallel, we measured IgG N-glycans using MALDI-TOF mass spectrometry (MS) in a replication cohort of 1,848 Europeans. Meta-analysis of genome-wide association study (GWAS) results identified 9 genome-wide significant loci (P2.27 x 10(-9)) in the discovery analysis and two of the same loci (B4GALT1 and MGAT3) in the replication cohort. Four loci contained genes encoding glycosyltransferases (ST6GAL1, B4GALT1, FUT8, and MGAT3), while the remaining 5 contained genes that have not been previously implicated in protein glycosylation (IKZF1, IL6ST-ANKRD55, ABCF2-SMARCD3, SUV420H1, and SMARCB1-DERL3). However, most of them have been strongly associated with autoimmune and inflammatory conditions (e.g., systemic lupus erythematosus, rheumatoid arthritis, ulcerative colitis, Crohn's disease, diabetes type 1, multiple sclerosis, Graves' disease, celiac disease, nodular sclerosis) and/or haematological cancers (acute lymphoblastic leukaemia, Hodgkin lymphoma, and multiple myeloma). Follow-up functional experiments in haplodeficient Ikzf1 knock-out mice showed the same general pattern of changes in IgG glycosylation as identified in the meta-analysis. As IKZF1 was associated with multiple IgG N-glycan traits, we explored biomarker potential of affected N-glycans in 101 cases with SLE and 183 matched controls and demonstrated substantial discriminative power in a ROC-curve analysis (area under the curve = 0.842). Our study shows that it is possible to identify new loci that control glycosylation of a single plasma protein using GWAS. The results may also provide an explanation for the reported pleiotropy and antagonistic effects of loci involved in autoimmune diseases and haematological cancer.
机译:免疫球蛋白G(IgG)的糖基化通过调节与Fc受体的结合来影响IgG效应子功能。为了鉴定与IgG糖基化相关的遗传基因座,我们使用两种方法对N-连接的IgG聚糖进行了定量。从人血浆中分离IgG后,我们使用超高效液相色谱(UPLC)对来自四个欧洲发现人群的2247个个体进行了77次N-糖基化的定量测量。同时,我们在1848名欧洲人的复制队列中使用MALDI-TOF质谱(MS)测量了IgG N-聚糖。荟萃分析的全基因组关联研究(GWAS)结果在发现分析中确定了9个全基因组重要基因座(P <2.27 x 10(-9)),在复制队列中确定了两个相同的基因座(B4GALT1和MGAT3) 。四个基因座包含编码糖基转移酶的基因(ST6GAL1,B4GALT1,FUT8和MGAT3),而其余5个基因包含先前未参与蛋白质糖基化的基因(IKZF1,IL6ST-ANKRD55,ABCF2-SMARCD3,SUV420H1和SMARCB1-DERL3) 。但是,它们中的大多数与自身免疫和炎性疾病(例如系统性红斑狼疮,类风湿性关节炎,溃疡性结肠炎,克罗恩病,1型糖尿病,多发性硬化症,格雷夫斯病,乳糜泻,结节性硬化症)和/或疾病密切相关血液系统癌症(急性淋巴细胞白血病,霍奇金淋巴瘤和多发性骨髓瘤)。在单倍缺失的Ikzf1基因敲除小鼠中进行的后续功能实验显示,与荟萃分析中确定的IgG糖基化变化相同的一般模式。由于IKZF1与多种IgG N-聚糖特征相关联,我们在101例SLE患者和183个匹配对照中探索了受影响N聚糖的生物标志物潜力,并在ROC曲线分析中证明了可分辨的力量(曲线下面积= 0.842)。我们的研究表明,使用GWAS可以确定控制单个血浆蛋白糖基化的新基因座。该结果也可为所报道的参与自身免疫性疾病和血液学癌症的基因座的多效性和拮抗作用提供解释。

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