RESUMO
Yeastolate is often used as a media supplement in industrial mammalian cell culture or as a major media component for microbial fermentations. Yeastolate variability can significantly affect process performance, but analysis is technically challenging because of its compositional complexity. However, what may be adequate for manufacturing purposes is a fast, inexpensive screening method to identify molecular variance and provide sufficient information for quality control purposes, without characterizing all the molecular components. Here we used Size Exclusion Chromatography (SEC) and chemometrics as a relatively fast screening method for identifying lot-to-lot variance (with Principal Component Analysis, PCA) and investigated if Partial Least Squares, PLS, predictive models which correlated SEC data with process titer could be obtained. SEC provided a relatively fast measure of gross molecular size hydrolysate variability with minimal sample preparation and relatively simple data analysis. The sample set comprised of 18 samples from 12 unique source lots of an ultra-filtered yeastolate (10 kDa molecular weight cut-off) used in a mammalian cell culture process. SEC showed significant lot-to-lot variation, at 214 and 280 nm detection, with the most significant variation, that correlated with process performance, occurring at a retention time of â¼6 min. PCA and PLS regression correlation models provided fast identification of yeastolate variance and its process impact. The primary drawback is the limited column lifetime (<300 injections) caused by the complex nature of yeastolate and the presence of zinc. This limited long term reproducibility because these age-related, non-linear changes in chromatogram peak positions and shapes were very significant.
RESUMO
The growing use of therapeutic proteins requires accurate analytical techniques for measuring biophysical and structural changes during manufacturing. This is particularly true for the PEGylation of proteins, because characterization of PEGylation reactions and products can often be difficult due to the relatively small impact on protein structure, the lack of an accessible polyethylene glycol (PEG) chromophore, and the heterogeneous final product mixtures. Intrinsic fluorescence spectroscopy is one potential solution due to its relatively high sensitivity to small changes in protein structure and its suitability for online or atline measurements. In this study, we use the PEGylation of lysozyme as a model system to determine the efficacy of polarized excitation-emission matrix (pEEM) spectroscopy as a rapid tool for characterizing the structural variability of the lysozyme (LZ) starting materials and PEGylated products with varying PEG-to-protein ratios (PPR). Dynamic light scattering showed that as PPR increased from 0 to 2.8, the hydrodynamic radius increased from â¼2.2 to 4.8 nm. pEEM measurements provided several sources of information: Rayleigh scattering to identify size changes and aggregate/particle formation, and fluorescence emission to assess chemical and structural changes. PEGylation induced sufficient physicochemical changes in LZ, which produced changes in the pEEM spectra, largely due to variations in the hydrophobic environments of tryptophan residues close to a PEG attachment site. These significant spectral changes when modeled using conventional multivariate analysis methods were able to easily discriminate the raw product solutions according to the degree of PEGylation and were also able to predict PPR with reasonable accuracy (root mean square error for calibration â¼10%, relative error of prediction < 20%), considering the reference size exclusion chromatography method error of â¼7.2%. The variable selection of the pEEM data suggests that equivalent predictions could be obtained with faster and simpler two-dimensional spectra, making the method a more viable online measurement method.
Assuntos
Hidrodinâmica , Interações Hidrofóbicas e Hidrofílicas , Microscopia de Polarização/métodos , Muramidase/química , Polietilenoglicóis/química , Espectrometria de Fluorescência/métodos , Animais , Galinhas , Modelos Biológicos , Muramidase/análiseRESUMO
Immunoglobulin G (IgG) is often used as a starting material for the production of functionalised antibodies, like Antibody Drug Conjugates (ADCs), PEGlyated-conjugates, or radioimmunoconjugates. The gross structural quality of the protein starting material is, therefore, an important factor in determining final product composition, purity, and quality. In terms of structural quality, one needs to know both the aggregation content and the tertiary structure of the protein. The measurement of structural quality in solution can thus be difficult, but the use of intrinsic fluorescence measurements might offer a solution because of its high sensitivity, ease of use, and when implemented in via multi-dimensional techniques like polarized Excitation Emission Matrix (pEEM) spectroscopy, its high information content. Here we demonstrate how pEEM measurements can be used as a multi-attribute screening method for protein quality using a polyclonal rabbit immunoglobulin (rIgG) model system. By using both Rayleigh scatter and fluorescence emission in combination with simple chemometric data analysis methods like Principal Component analysis (PCA) and unfolded partial least squares (U-PLS) one can simultaneously measure protein concentration, structural variance, and particle/aggregate composition. Furthermore, one can generate quantitative prediction models for non-reversible aggregation content as described by size exclusion chromatography (SEC) and obtain qualitative information about reversible aggregate content, which cannot be obtained from SEC measurements. In conclusion, the pEEM measurement approach is a potentially useful Process Analytical Technology (PAT) method for downstream processing operations in biopharmaceutical manufacturing.