Institute of Genetics, Department of Biology, University of Erlangen-Nuremberg, Erwin-Rommel-Str. 3, 91058 Erlangen, Germany.
Medical Immunology Campus Erlangen, Department of Biology, University of Erlangen-Nuremberg, Staudtstr. 5, 91058 Erlangen, Germany.
Nat Rev Rheumatol. 2017 Oct;13(10):621-630. doi: 10.1038/nrrheum.2017.146. Epub 2017 Sep 14.
A loss of humoral tolerance is a hallmark of many autoimmune diseases and the detection of self-reactive antibodies (autoantibodies) of the immunoglobulin G (IgG) isotype is widely used as a biomarker and diagnostic tool. However, autoantibodies might also be present in individuals without autoimmune disease, thus limiting their usefulness as a sole indicator of disease development. Moreover, while clear evidence exists of the pathogenic effects of autoantibodies in mouse model systems, the contribution of autoantibodies to the pathology of many autoimmune diseases has yet to be established. In this Review, the authors discuss the changes in total serum IgG and autoantibody glycosylation that occur during autoimmune disease and how these changes might help to predict disease development in the future. Furthermore, current knowledge of the signals regulating antibody glycosylation and how individual antibody glycoforms could be used to optimize current treatment approaches will be discussed.
体液免疫耐受的丧失是许多自身免疫性疾病的一个标志,免疫球蛋白 G(IgG)同种型的自身反应性抗体(自身抗体)的检测被广泛用作生物标志物和诊断工具。然而,自身抗体也可能存在于没有自身免疫性疾病的个体中,因此限制了它们作为疾病发展唯一指标的用途。此外,虽然在小鼠模型系统中存在自身抗体的致病性作用的明确证据,但自身抗体对许多自身免疫性疾病的病理学的贡献尚未得到证实。在这篇综述中,作者讨论了在自身免疫性疾病过程中总血清 IgG 和自身抗体糖基化的变化,以及这些变化如何帮助预测未来的疾病发展。此外,还将讨论调节抗体糖基化的信号以及如何利用个体抗体糖型来优化当前的治疗方法的现有知识。