RESUMEN
An international team spanning 19 sites across 18 biopharmaceutical and in vitro diagnostics companies in the United States, Europe, and China, along with one regulatory agency, was formed to compare the precision and robustness of imaged CIEF (ICIEF) for the charge heterogeneity analysis of the National Institute of Standards and Technology (NIST) mAb and a rhPD-L1-Fc fusion protein on the iCE3 and the Maurice instruments. This information has been requested to help companies better understand how these instruments compare and how to transition ICIEF methods from iCE3 to the Maurice instrument. The different laboratories performed ICIEF on the NIST mAb and rhPD-L1-Fc with both the iCE3 and Maurice using analytical methods specifically developed for each of the molecules. After processing the electropherograms, statistical evaluation of the data was performed to determine consistencies within and between laboratory and outlying information. The apparent isoelectric point (pI) data generated, based on two-point calibration, for the main isoform of the NIST mAb showed high precision between laboratories, with RSD values of less than 0.3% on both instruments. The SDs for the NIST mAb and the rhPD-L1-Fc charged variants percent peak area values for both instruments are less than 1.02% across different laboratories. These results validate the appropriate use of both the iCE3 and Maurice for ICIEF in the biopharmaceutical industry in support of process development and regulatory submissions of biotherapeutic molecules. Further, the data comparability between the iCE3 and Maurice illustrates that the Maurice platform is a next-generation replacement for the iCE3 that provides comparable data.
Asunto(s)
Productos Biológicos , Electroforesis Capilar , Electroforesis Capilar/métodos , Focalización Isoeléctrica/métodos , Laboratorios , Isoformas de ProteínasRESUMEN
IgG-like multispecific antibodies with asymmetric constructs have become widely used formats for therapeutic applications in recent years. Correct assembly of the subunits in this class of therapeutics is a critical quality attribute (CQA) with direct impact on biological activity. Therefore, early drug development efforts such as clone selection during cell line development must be guided by information on potential chain mispairing to enable timely decision making and risk mitigation. Here we describe a high-throughput analytical platform based on denaturing size-exclusion ultraperformance liquid chromatography (UPLC) coupled with intact protein mass spectrometry for profiling of mispairing and other product-related impurities, including half antibodies. This method can be performed directly on the clarified cell culture harvest fluid without the need for Protein A purification or other sample preparations and provides unbiased information on the product quality of the clones and the effect of growth conditions in a fast and cost-effective manner. Screening large numbers of clones expressing different trispecific antibody (tsAb) constructs revealed that although chain mispairing primarily depends on the antibody sequence and structure, it is also a characteristic of the clone. In addition, different growth conditions may affect the type and distribution of half antibodies and mispaired species impurities but not the quality ranking of the clones.
Asunto(s)
Anticuerpos/análisis , Animales , Especificidad de Anticuerpos , Células CHO , Células Cultivadas , Cromatografía en Gel , Cricetulus , Espectrometría de MasasRESUMEN
More than 370 biotherapeutics drug products have been approved by regulatory agencies on the US and EU markets and this industry continues to expand. Process change and optimization is necessary to develop new effective biologics in a cost effective and productive way. Consequently, improvement of analytical techniques is required for better product characterization according to Quality by Design (QbD) approach recommended by regulatory agencies. Recently, multi-attribute method (MAM) has emerged to meet such demands using mass spectrometry coupled to liquid chromatography (LC-MS). However, traditional sample preparation or data processing would not be suitable to guide process development, because one of the common challenges during development of analytical platforms is instrument or method variability which can cause deviation in results. Here, we show a new automated analytical platform for MAM implemented on 3 different sites: the components of MAM platform include automated sample preparation, LC-MS based MAM, and data treatment automation. To our knowledge, this is the first study to show global harmonization on automated MAM platforms and the inter-sites comparability including the automated sample preparation and LC-MS instrument. Also, we demonstrate the applicability of MAM to support cell line development, cell culture process development and downstream process development. We expect that this MAM platform will effectively guide process development across multiple projects.