Department of Biosciences, Bioanalytical Research Labs, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria.
Christian Doppler Laboratory for Innovative Tools for Biosimilar Characterization, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria.
Angew Chem Int Ed Engl. 2020 Sep 7;59(37):16225-16232. doi: 10.1002/anie.202002147. Epub 2020 Jul 9.
N-glycosylation may affect the safety and efficacy of biopharmaceuticals and is thus monitored during manufacturing. Mass spectrometry of the intact protein is increasingly used to reveal co-existing glycosylation variants. However, quantification of N-glycoforms via this approach may be biased by single hexose residues as introduced by glycation or O-glycosylation. Herein, we describe a simple strategy to reveal actual N-glycoform abundances of therapeutic antibodies, involving experimental determination of glycation levels followed by computational elimination of the "hexosylation bias". We show that actual N-glycoform abundances may significantly deviate from initially determined values. Indeed, glycation may even obscure considerable differences in N-glycosylation patterns of drug product batches. Our observations may thus have implications for biopharmaceutical quality control. Moreover, we solve an instance of the problem of isobaricity, which is fundamental to mass spectrometry.
N-糖基化可能会影响生物制药的安全性和疗效,因此在制造过程中进行监测。完整蛋白质的质谱分析越来越多地用于揭示共存的糖基化变体。然而,通过这种方法对 N-糖型进行定量可能会受到糖化或 O-糖基化引入的单个己糖残基的影响。本文中,我们描述了一种简单的策略,用于揭示治疗性抗体的实际 N-糖型丰度,涉及实验测定糖化水平,然后通过计算消除“己糖基化偏差”。我们表明,实际的 N-糖型丰度可能与最初确定的值有显著差异。事实上,糖化甚至可能掩盖药物产品批次中 N-糖基化模式的相当大差异。因此,我们的观察结果可能对生物制药质量控制具有重要意义。此外,我们解决了质谱分析中基本的同量异位问题。