Optimization of a Quantitative Anti-Drug Antibodies against Infliximab Assay with the Liquid Chromatography-Tandem Mass Spectrometry: A Method Validation Study and Future Perspectives

色谱法 液相色谱-质谱法 英夫利昔单抗 串联质谱法 化学 质谱法 药品 串联 抗体 药理学 医学 肿瘤坏死因子α 免疫学 材料科学 复合材料
作者
Erin H. Smeijsters,Kim C. M. van der Elst,Amy Visch,Camiel Göbel,Floris C. Loeff,Theo Rispens,Alwin D. R. Huitema,Matthijs van Luin,Mohsin El Amrani
出处
期刊:Pharmaceutics [Multidisciplinary Digital Publishing Institute]
卷期号:15 (5): 1477-1477 被引量:5
标识
DOI:10.3390/pharmaceutics15051477
摘要

Monoclonal antibodies (mAbs), such as infliximab, are important treatment options for different diseases. Immunogenicity is a major risk, resulting in anti-drug antibodies (ADAs), being associated with adverse events and loss of response, influencing long-term outcomes. The development of ADAs against infliximab is primarily measured by immunoassays like radioimmunoassay (RIA). Although liquid chromatography-tandem mass spectrometry (LC-MS/MS) is increasingly utilized across different fields, this technique is currently not used for ADAs against infliximab measurements. Therefore, we developed the first LC-MS/MS method. Stable isotopically labeled infliximab antigen-binding fragments (SIL IFX F(ab’)2) were used to bind and measure ADAs indirectly. Protein A magnetic beads were used to capture IgG, including ADAs, whereafter SIL IFX F(ab’)2 was added for labeling. After washing, internal standard addition, elution, denaturation and digestion samples were measured by LC-MS/MS. Internal validation showed good linearity between 0.1 and 16 mg/L (R2 > 0.998). Sixty samples were used for cross-validation with RIA, and no significant difference between ADA concentrations was found. The methods had high correlation (R = 0.94, p < 0.001) and excellent agreement, intraclass correlation coefficient = 0.912 (95% confidence interval 0.858–0.947, p < 0.001). We present the first ADA against the infliximab LC-MS/MS method. The method is amendable for quantifying other ADAs, making it applicable as a template for future ADA methods.

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