Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia.
Department of Twin Research, Kings College London, London, UK.
J Hypertens. 2021 Dec 1;39(12):2527-2533. doi: 10.1097/HJH.0000000000002963.
Glycosylation of immunoglobulin G (IgG) is an important regulator of the immune system and has been implicated in prevalent hypertension. The aim of this study is to investigate whether the IgG glycome begins to change prior to hypertension diagnosis by analysing the IgG glycome composition in a large population-based female cohort with two independent replication samples.
We included 989 unrelated cases with incident hypertension and 1628 controls from the TwinsUK cohort (mean follow-up time of 6.3 years) with IgG measured at baseline by ultra-performance liquid chromatography and longitudinal BP measurement available. We replicated our findings in 106 individuals from the 10 001 Dalmatians and 729 from KORA S4. Cox regression mixed models were applied to identify changes in glycan traits preincident hypertension, after adjusting for age, mean arterial pressure, BMI, family relatedness and multiple testing (FDR < 0.1). Significant IgG-incident hypertension associations were replicated in the two independent cohorts by leveraging Cox regression mixed models in the 10 001 Dalmatians and logistic regression models in the KORA cohort.
We identified and replicated four glycan traits, incidence of bisecting GlcNAc, GP4, GP9 and GP21, that are predictive of incident hypertension after adjusting for confoundes and multiple testing [hazard ratio (95% CI) ranging from 0.45 (0.24-0.84) for GP21 to 2.9 (1.5-5.68) for GP4]. We then linearly combined the four replicated glycans and found that the glycan score correlated with incident hypertension, SBP and DBP.
Our results suggest that the IgG glycome changes prior to the development of hypertension.
免疫球蛋白 G(IgG)的糖基化是免疫系统的一个重要调节因子,与常见的高血压有关。本研究旨在通过分析大型基于人群的女性队列中 IgG 糖组的组成,来研究 IgG 糖组是否在高血压诊断之前就开始发生变化,该队列有两个独立的复制样本。
我们纳入了来自 TwinsUK 队列的 989 名无高血压相关病史的病例和 1628 名对照(平均随访时间为 6.3 年),在基线时通过超高效液相色谱法测量 IgG,并且可获得纵向血压测量值。我们在 10001 只达尔马提亚犬和 KORA S4 中分别复制了 106 名和 729 名个体的发现。应用 Cox 回归混合模型来识别高血压前 IgG 糖型特征的变化,在调整年龄、平均动脉压、BMI、家族相关性和多重检验(FDR<0.1)后进行分析。我们利用达尔马提亚犬的 Cox 回归混合模型和 KORA 队列的逻辑回归模型,在两个独立的队列中复制了与 IgG-高血压发病相关的显著关联。
我们确定并复制了 4 个糖型特征,即双分支 GlcNAc、GP4、GP9 和 GP21 的出现,这些特征在调整混杂因素和多重检验后可预测高血压的发生(风险比[95%CI]范围从 GP21 的 0.45(0.24-0.84)到 GP4 的 2.9(1.5-5.68))。然后,我们将四个复制的糖型线性组合,并发现糖型评分与高血压的发生、SBP 和 DBP 相关。
我们的研究结果表明,在高血压发生之前,IgG 糖组发生了变化。