Cyrus Agarabi

Application of quality by design elements for the development and optimization of an analytical method for protamine sulfate.

The purpose of this study was to develop a robust reverse phase-HPLC method for the separation of hydrolyzed protamine sulfate peptides using a quality by design approach. A Plackett-Burman experimental design was utilized to screen the effects of mobile phase pH, flow rate, column temperature, injection volume and methanol concentration on peak resolution and USP tailing. Multivariate regression and Pareto ranking analyses showed that mobile phase pH, column temperature and injection volume were statistically significant (p<0.05) factors affecting the resolution and tailing of the peaks. A Box-Behnken experimental design with response surface methodology was then utilized to evaluate the main, interaction, and quadratic effects of these three factors on the selected responses. A desirability function applied to the optimized conditions predicted peak resolutions between 1.99 and 3.61 and tailing factor between 1.02 and 1.45 for the four peptide peaks of protamine sulfate with the following chromatographic conditions; an isocratic mobile phase consisting of 100mM monosodium phosphate buffer pH 2.25, 1.8% acetonitrile and 0.3% methanol. The injection volume was 20 μl, with a column temperature of 24 °C and a flow rate of 1.0 ml/min and a total run time of less than 25 min. The optimized chromatographic method was validated according to ICH Q2R1 guidelines and applied to separate and compare the peaks of protamine sulfate from five different sources. Analyses of the peptide peaks of the five protamine sulfate samples showed no significant differences in their compositions. The results clearly showed that quality by design concept could be effectively applied to optimize an HPLC chromatographic method for protein analysis with the least number of experimental runs possible.

N-Glycosylation Design and Control of Therapeutic Monoclonal Antibodies

The N-linked glycan profiles on recombinant monoclonal antibody therapeutics significantly affect antibody biological functions and are largely determined by host cell genotypes and culture conditions. A key step in bioprocess development for monoclonal antibodies (mAbs) involves optimization and control of N-glycan profiles. With pressure from pricing and biosimilars looming, more efficient and effective approaches are sought in the field of glycoengineering. Metabolic studies and mathematical modeling are two such approaches that optimize bioprocesses by better understanding and predicting glycosylation. In this review, we summarize a group of strategies currently used for glycan profile modulation and control. Metabolic analysis and mathematical modeling are then explored with an emphasis on how these two techniques can be utilized to advance glycoengineering.

Fermentanomics informed amino acid supplementation of an antibody producing mammalian cell culture

Fermentanomics, or a global understanding of a culture state on the molecular level empowered by advanced techniques like NMR, was employed to show that a model hybridoma culture supplied with glutamine and glucose depletes aspartate, cysteine, methionine, tryptophan, and tyrosine during antibody production. Supplementation with these amino acids prevents depletion and improves culture performance. Furthermore, no significant changes were observed in the distribution of glycans attached to the IgG3 in cultures supplemented with specific amino acids, arguing that this strategy can be implemented without fear of impact on important product quality attributes. In summary, a targeted strategy of quantifying media components and designing a supplementation strategy can improve bioprocess cell cultures when enpowered by fermentanomics tools. Published 2013 American Institute of Chemical Engineers Biotechnol. Prog., 29:745–753, 2013

Impact of controlled ice nucleation on process performance and quality attributes of a lyophilized monoclonal antibody.

An efficient and potentially scalable technology was evaluated to control the ice nucleation step of the freezing process for a model monoclonal antibody formulation and the effect on process performance and quality attributes of the final lyophilized product was compared with the conventional shelf ramping method of freezing. Controlled ice nucleation resulted in uniform nucleation at temperatures between -2.3 and -3.2 °C while uncontrolled nucleation resulted in random nucleation at temperatures between -10 and -16.4 °C. The sublimation rate (dm/dt) during primary drying was higher in the controlled nucleation cycle (0.13 g/h/vial) than in the uncontrolled nucleation cycle (0.11 g/h/vial). This was due to the formation of larger ice crystals, leading to lower product resistance (Rp) and 19% reduction in the primary drying for the controlled nucleation cycle. Controlled ice nucleation resulted in lyophilized cakes with more acceptable appearance, no visible collapse or shrinkage and decreased reconstitution times compared with uncontrolled nucleation. There were no observed differences in the particle size, concentration (A280 nm) and presence of aggregates (A410 nm) between the two nucleation cycles when the lyophilized cakes were reconstituted. These were confirmed by SEC and protein A-HPLC analyses which showed similar peak shapes and retention times between the two cycles. However, uncontrolled nucleation resulted in cakes with larger specific surface area (0.90 m(2)/g) than controlled nucleation (0.46 m(2)/g). SEM images of the lyophilized cakes from uncontrolled nucleation revealed a sponge-like morphology with smaller pores while cakes from controlled nucleation cycle revealed plate-like structures with more open and larger pores. While controlled nucleation resulted in a final product with a higher residual moisture content (2.1±0.08%) than uncontrolled nucleation (1.62±0.11%), this was resolved by increasing the secondary drying temperature.

Bioreactor Process Parameter Screening Utilizing a Plackett–Burman Design for a Model Monoclonal Antibody

Consistent high-quality antibody yield is a key goal for cell culture bioprocessing. This endpoint is typically achieved in commercial settings through product and process engineering of bioreactor parameters during development. When the process is complex and not optimized, small changes in composition and control may yield a finished product of less desirable quality. Therefore, changes proposed to currently validated processes usually require justification and are reported to the US FDA for approval. Recently, design-of-experiments-based approaches have been explored to rapidly and efficiently achieve this goal of optimized yield with a better understanding of product and process variables that affect a products critical quality attributes. Here, we present a laboratory-scale model culture where we apply a Plackett-Burman screening design to parallel cultures to study the main effects of 11 process variables. This exercise allowed us to determine the relative importance of these variables and identify the most important factors to be further optimized in order to control both desirable and undesirable glycan profiles. We found engineering changes relating to culture temperature and nonessential amino acid supplementation significantly impacted glycan profiles associated with fucosylation, β-galactosylation, and sialylation. All of these are important for monoclonal antibody product quality.

Automated 2D-HPLC method for characterization of protein aggregation with in-line fraction collection device

Monoclonal antibodies are mainly produced by mammalian cell culture, which due to its complexity, results in a wide range of product variants/isoforms. With the growing implementation of Quality by Design (QbD) and Process Analytical Technology (PAT) in drug manufacturing, monitoring and controlling quality attributes within a predefined range during manufacturing may provide added consistency to product quality. To implement these concepts, more robust analytical tools could reduce the time needed for monitoring quality attributes during upstream processing. The formation of protein aggregates is one such quality attribute that can lead to safety and efficacy issues in the final drug product. Described in this study is a fully automated two-dimensional high performance liquid chromatography (2D-HPLC) method for characterizing protein aggregation of crude in-process bioreactor samples. It combines protein A purification and separation by size exclusion into a single analytical module that has the potential to be employed at-line within a bioprocessing system. This method utilizes a novel in-line fraction collection device allowing for the collection of up to twelve fractions from a single sample or peak which facilitates the subsequent linked analysis of multiple protein peaks of interest in one chromatography module.

Exploring the linkage between cell culture process parameters and downstream processing utilizing a plackett-burman design for a model monoclonal antibody.

Linkage of upstream cell culture with downstream processing and purification is an aspect of Quality by Design crucial for efficient and consistent production of high quality biopharmaceutical proteins. In a previous Plackett‐Burman screening study of parallel bioreactor cultures we evaluated main effects of 11 process variables, such as agitation, sparge rate, feeding regimens, dissolved oxygen set point, inoculation density, supplement addition, temperature, and pH shifts. In this follow‐up study, we observed linkages between cell culture process parameters and downstream capture chromatography performance and subsequent antibody attributes. In depth analysis of the capture chromatography purification of harvested cell culture fluid yielded significant effects of upstream process parameters on host cell protein abundance and behavior. A variety of methods were used to characterize the antibody both after purification and buffer formulation. This analysis provided insight in to the significant impacts of upstream process parameters on aggregate formation, impurities, and protein structure. This report highlights the utility of linkage studies in identifying how changes in upstream parameters can impact downstream critical quality attributes.

Evaluation of butyrate-induced production of a mannose-6-phosphorylated therapeutic enzyme using parallel bioreactors

Bioreactor process changes can have a profound effect on the yield and quality of biotechnology products. Mannose‐6‐phosphate (M6P) glycan content and the enzymatic catalytic kinetic parameters are critical quality attributes (CQAs) of many therapeutic enzymes used to treat lysosomal storage diseases (LSDs). Here, we have evaluated the effect of adding butyrate to bioreactor production cultures of human recombinant β ‐glucuronidase produced from CHO‐K1 cells, with an emphasis on CQAs. The β ‐glucuronidase produced in parallel bioreactors was quantified by capillary electrophoresis, the catalytic kinetic parameters were measured using steady‐state analysis, and mannose‐6‐phosphorylation status was assessed using an M6P‐specific single‐chain antibody fragment. Using this approach, we found that butyrate treatment increased β ‐glucuronidase production up to approximately threefold without significantly affecting the catalytic properties of the enzyme. However, M6P content in β ‐glucuronidase was inversely correlated with the increased enzyme production induced by butyrate treatment. This assessment demonstrated that although butyrate dramatically increased β ‐glucuronidase production in bioreactors, it adversely impacted the mannose‐6‐phosphorylation of this LSD therapeutic enzyme. This strategy may have utility in evaluating manufacturing process changes to improve therapeutic enzyme yields and CQAs.

Product and process understanding to relate the effect of freezing method on glycation and aggregation of lyophilized monoclonal antibody formulations

The objective of the study was to analyze the effect of controlled and uncontrolled freezing step of a lyophilization process on the extent of non-enzymatic glycation and aggregation of an IgG1 formulation at two concentrations (1mg/ml and 20mg/ml). The degree of glycation (%) was determined through boronate affinity chromatography and its effect on the formation of soluble aggregates and higher molecular weight species was studied using dynamic light scattering (DLS) and size exclusion chromatography with multi-angle light scattering (SEC-MALS). The effect of non-enzymatic glycation on the secondary structure of the formulations was also studied using circular dichroism (CD) spectroscopy and Fourier transform infrared (FT-IR) spectroscopy. Results indicated that controlled nucleation yielded higher residual moisture contents and significantly lower specific surface areas for the two monoclonal antibody concentrations compared with uncontrolled nucleation cycle (p<0.05). For the two concentrations, uncontrolled nucleation resulted in significantly higher levels of glycation compared with controlled nucleation samples (p<0.05). Further, it was observed that higher storage temperatures (25°C/60% RH) versus 5°C resulted in higher glycation. Even though SEC-MALS analyses of the low concentrated formulations did not reveal the formation of higher molecular weight species, DLS analyses at two storage conditions revealed increases in the hydrodynamic radii and polydispersity index of the reconstituted formulations, suggesting the onset of formation of smaller species in the formulations. CD spectroscopy did not reveal any differences in the secondary structure of the mAb for the two concentrations after lyophilization. In conclusion, the freezing step method impacted the extent of glycation in lyophilized samples and the hydrolyzed component of sucrose was critical for increasing glycation. Even though some level of glycation was observed in lyophilized samples, the native structure of the protein was not affected. Further, it was demonstrated that storage of both lyophilized cakes and reconstituted formulations at higher temperatures could increase the extent of glycation in monoclonal antibody formulations.

Characterization of Mammalian Cell Culture Raw Materials by Combining Spectroscopy and Chemometrics

Two of the primary issues with characterizing the variability of raw materials used in mammalian cell culture, such as wheat hydrolysate, is that the analyses of these materials can be time consuming, and the results of the analyses are not straightforward to interpret. To solve these issues, spectroscopy can be combined with chemometrics to provide a quick, robust and easy to understand methodology for the characterization of raw materials; which will improve cell culture performance by providing an assessment of the impact that a given raw material will have on final product quality. In this study, four spectroscopic technologies: near infrared spectroscopy, middle infrared spectroscopy, Raman spectroscopy, and fluorescence spectroscopy were used in conjunction with principal component analysis to characterize the variability of wheat hydrolysates, and to provide evidence that the classification of good and bad lots of raw material is possible. Then, the same spectroscopic platforms are combined with partial least squares regressions to quantitatively predict two cell culture critical quality attributes (CQA): integrated viable cell density and IgG titer. The results showed that near infrared (NIR) spectroscopy and fluorescence spectroscopy are capable of characterizing the wheat hydrolysates chemical structure, with NIR performing slightly better; and that they can be used to estimate the raw materials’ impact on the CQAs. These results were justified by demonstrating that of all the components present in the wheat hydrolysates, six amino acids: arginine, glycine, phenylalanine, tyrosine, isoleucine and threonine; and five trace elements: copper, phosphorus, molybdenum, arsenic and aluminum, had a large, statistically significant effect on the CQAs, and that NIR and fluorescence spectroscopy performed the best for characterizing the important amino acids. It was also found that the trace elements of interest were not characterized well by any of the spectral technologies used; however, the trace elements were also shown to have a less significant effect on the CQAs than the amino acids.