Kinetics of Antibody Aggregation at Neutral pH and Ambient Temperatures Triggered by Temporal Exposure to Acid

Thermal and pH stress dictate distinct mechanisms of monoclonal antibody aggregation

Protein aggregation is a significant challenge in the development of monoclonal antibodies (mAbs), which can be exacerbated by stress conditions encountered along its production pipeline. In this study, we examine how thermal and pH stress conditions influence mAb aggregation mechanisms. We observe a complex interplay between these factors that significantly affects mAb stability, particularly under combined stress conditions. The mAb aggregates formed also varied distinctly in size and properties depending on the pH and thermal conditions, suggesting differences in their underlying mechanisms. Using a combination of experimental methods and kinetic modelling, we found that acidic pH conditions primarily promoted aggregation via the mAb unfolding step, while higher temperature conditions facilitated the formation of larger aggregates via monomer-independent cluster-cluster aggregation steps. These insights underscore the importance of extrinsic stress conditions in determining mAb aggregation propensity, and potentially provides a quantitative framework to holistically assess this across various accelerated stress conditions for the development of stable biologics.

Integrated micro-scale protein a chromatography and Low pH viral inactivation unit operations on an automated platform

High throughput process development (HTPD) is established for time- and resource- efficient chromatographic process development. However, integration with non-chromatographic operations within a monoclonal antibody (mAb) purification train is less developed. An area of importance is the development of low pH viral inactivation (VI) that follows protein A chromatography. However, the lack of pH measurement devices at the micro-scale represents a barrier to implementation, which prevents integration with the surrounding unit operations, limiting overall process knowledge. This study is based upon the design and testing of a HTPD platform for integration of the protein A and low pH VI operations. This was achieved by using a design and simulation software before execution on an automated liquid handler. The operations were successfully translated to the micro-scale, as assessed by analysis of recoveries and molecular weight content. The integrated platform was then used as a tool to assess the effect of pH on HMWC during low pH hold. The laboratory-scale and micro-scale elution pools showed comparable HMWC across the pH range 3.2-3.7. The investigative power of the platform is highlighted by evaluating the resources required to conduct a hypothetical experiment. This results in lower resource demands and increased labor efficiency relative to the laboratory-scale. For example, the experiment can be conducted in 7 h, compared to 105 h, translating to labor hours, 3 h and 28 h for the micro-scale and laboratory-scale, respectively. This presents the opportunity for further integration beyond chromatographic operations within the purification sequence, to establish a fit-to-platform assessment tool for mAb process development.

Mechanistic Modeling of Amyloid Oligomer and Protofibril Formation in Bovine Insulin

Early phase of amyloid formation, where prefibrillar aggregates such as oligomers and protofibrils are often observed, is crucial for understanding pathogenesis. However, the detailed mechanisms of their formation have been difficult to elucidate because they tend to form transiently and heterogeneously. Here, we found that bovine insulin protofibril formation proceeds in a monodisperse manner, which allowed us to characterize the detailed early aggregation process by light scattering in combination with thioflavin T fluorescence and Fourier transform infrared spectroscopy. The protofibril formation was specific to bovine insulin, whereas no significant aggregation was observed in human insulin. The kinetic analysis combining static and dynamic light scattering data revealed that the protofibril formation process in bovine insulin can be divided into two steps based on fractal dimension. When modeling the experimental data based on Smoluchowski aggregation kinetics, an aggregation scheme consisting of initial fractal aggregation forming spherical oligomers and their subsequent end-to-end association forming protofibrils was clarified. Furthermore, the analysis of temperature and salt concentration dependencies showed that the end-to-end association is the rate-limiting step, involving dehydration. The established model for protofibril formation, wherein oligomers are incorporated as a precursor, provides insight into the molecular mechanism by which protein molecules assemble during the early stage of amyloid formation.

Size-based analysis of virus removal filter fouling using fractionated protein aggregates

Fouling by protein aggregates reduces virus removal filter performance. In the present study, we investigated the effects of different-sized protein aggregates on fouling and aggregate retention in order to better understand the fouling mechanisms. Human immunoglobulin G was denatured by heating to produce aggregates of various sizes and then fractionated by size exclusion chromatography into different-sized aggregates with a narrow size distribution. The fractionated aggregates were filtered on Planova 20N, a virus removal filter known for its stable filtration capability. Analysis of flux behavior demonstrated different flux decrease patterns for different-sized aggregates. Observation of aggregate retention by staining revealed that larger aggregates were captured closer to the inner surface of the membrane while smaller aggregates penetrated farther into the membrane. These findings demonstrate that Planova 20N has a gradient structure with decreasing pore size from the inner to the outer surface of the membrane. This structure minimizes fouling and enables stable filtration by protecting the smaller pores located closer to the outer surface from clogging by large aggregates. Applying the predominant clogging models to the present filtrations revealed that clogging behavior transitioned from complete blocking to cake filtration as filtration progressed. In this combination model, after a certain number of pores are blocked by complete blocking, newly arrived aggregates begin to accumulate on previously captured aggregates, generating cake between capture layers within the membrane. Application of the approaches described here will facilitate elucidation of membrane fouling and virus removal mechanisms.

Stabilization challenges and aggregation in protein-based therapeutics in the pharmaceutical industry

Protein-based therapeutics have revolutionized the pharmaceutical industry and become vital components in the development of future therapeutics. They offer several advantages over traditional small molecule drugs, including high affinity, potency and specificity, while demonstrating low toxicity and minimal adverse effects. However, the development and manufacturing processes of protein-based therapeutics presents challenges related to protein folding, purification, stability and immunogenicity that should be addressed. These proteins, like other biological molecules, are prone to chemical and physical instabilities. The stability of protein-based drugs throughout the entire manufacturing, storage and delivery process is essential. The occurrence of structural instability resulting from misfolding, unfolding, and modifications, as well as aggregation, poses a significant risk to the efficacy of these drugs, overshadowing their promising attributes. Gaining insight into structural alterations caused by aggregation and their impact on immunogenicity is vital for the advancement and refinement of protein therapeutics. Hence, in this review, we have discussed some features of protein aggregation during production, formulation and storage as well as stabilization strategies in protein engineering and computational methods to prevent aggregation.

Epitope-Based Specific Antibody Modifications

Modified antibodies have essential roles in analytic, diagnostic, and therapeutic uses, and thus, these antibodies are required to have optimal physical and biological properties. Consequently, the development of methods for site-selective antibody modification is crucial. Herein, we used epitope-based affinity labeling to introduce a Fab region-selective antibody modification method. Although labeling that exploits the high affinity between an antibody and its epitope may appear straightforward, it remains challenging probably because of the loss of target affinity caused by modification around the epitope-binding site. By thoroughly screening the modifying agent structure, reaction conditions, and purification methods, we developed an efficient method for the selective modification of the Fab region of the antibody while maintaining the high affinity for the epitope.

Understanding and controlling the molecular mechanisms of protein aggregation in mAb therapeutics

In antibody development and manufacturing, protein aggregation is a common challenge that can lead to serious efficacy and safety issues. To mitigate this problem, it is important to investigate its molecular origins. This review discusses (1) our current molecular understanding and theoretical models of antibody aggregation, (2) how various stress conditions related to antibody upstream and downstream bioprocesses can trigger aggregation, and (3) current mitigation strategies employed towards inhibiting aggregation. We discuss the relevance of the aggregation phenomenon in the context of novel antibody modalities and highlight how in silico approaches can be exploited to mitigate it.

Cue to Acid-Induced Long-Range Conformational Changes in an Antibody Preceding Aggregation: The Structural Origins of the Subpeaks in Kratky Plots of Small-Angle X-ray Scattering

Antibody aggregation, followed by acid denaturation and neutralization of pH, is one of the reasons why the production of therapeutic monoclonal antibodies (mAbs) is expensive. Determining the structural details of acid-denatured antibodies is important for understanding their aggregation mechanism and for antibody engineering. Recent research has shown that monoclonal antibodies of human/humanized immunoglobulin G1 (IgG1) become smaller globules at pH 2 compared to their native structure at pH 7. This acid-denatured species is unstable at pH 7 and prone to aggregation by neutralization of pH. Small-angle X-ray scattering (SAXS) data have revealed an acid-induced reduction in the subpeaks in Kratky plot, indicating conformational changes that can lead to aggregation. The subpeaks are well resolved at pH > 3 but less pronounced at pH ≤ 2. One of the weakened subpeaks indicates loosely organized inter-region (Fab-Fab and Fab-Fc) correlations due to acid denaturation. However, the structural origin of the other subpeak (called q3 peak in this study) has not been established because its q region could represent the various inter-region, inter-domain, and intra-domain correlations in IgG1. In this study, we aimed to untangle the effects of domain-domain correlations on Kratky's q3 peak based on the computed SAXS of the crystal structure of IgG1. The q3 peak appeared in the static structure and was more prominent in the Fc region than in the Fab or isolated domains. Further brute-force analysis indicated that longer domain-domain correlations, including the inter-region, also positively contribute to Kratky's q3 peak. Thus, the distortion of the Fc region and a longer inter-region correlation initiate acid denaturation and aggregation.

Raman Spectroscopic Analysis of Highly-Concentrated Antibodies under the Acid-Treated Conditions

PURPOSE

Antibody drugs are usually formulated as highly-concentrated solutions, which would easily generate aggregates, resulting in loss of efficacy. Although low pH increases the colloidal dispersion of antibodies, acid denaturation can be an issue. Therefore, knowing the physical properties at low pH under high concentration conditions is important.

METHODS

Raman spectroscopy was used to investigate pH-induced conformational changes of antibodies at 50 mg/ml. Experiments in pH 3 to 7 were performed for human serum IgG and recombinant rituximab.

RESULTS

We detected the evident changes at pH 3 in Tyr and Trp bands, which are the sensitive markers of intermolecular interactions. Thermal transition analysis over the pH range demonstrated that the thermal transition temperature (Tm) was highest at pH 3. Acid-treated and neutralized one showed higher Tm than that of pH 7, indicating that their extent of intermolecular interactions correlated with the Tm values. Onset temperature was clearly different between concentrated and diluted samples. Colloidal analyses confirmed the findings of the Raman analysis.

CONCLUSION

Our studies demonstrated the positive correlation between Raman analysis and colloidal information, validating as a method for evaluating antibody conformation associated with aggregation propensities.

Getting Smaller by Denaturation: Acid-Induced Compaction of Antibodies

Protein denaturation is a ubiquitous process that occurs both in vitro and in vivo. While our molecular understanding of the denatured structures of proteins is limited, it is commonly accepted that the loss of unique intramolecular contacts makes proteins larger. Herein, we report compaction of the immunoglobulin G1 (IgG1) protein upon acid denaturation. Small-angle X-ray scattering coupled with size exclusion chromatography revealed that IgG1 radii of gyration at pH 2 were ∼75% of those at a neutral pH. Scattering profiles showed a compact globular shape, supported by analytical ultracentrifugation. The acid denaturation of proteins with a decrease in size is energetically costly, and acid-induced compaction requires an attractive force for domain reorientation. Such intramolecular aggregation may be widespread in immunoglobulin proteins as noncanonical structures. Herein, we discuss the potential biological significance of these noncanonical structures of antibodies.

Microarray-guided evaluation of the frequency, B cell origins, and selectivity of human glycan-binding antibodies reveals new insights and novel antibodies

The immune system produces a diverse collection of antiglycan antibodies that are critical for host defense. At present, however, we know very little about the binding properties, origins, and sequences of these antibodies because of a lack of access to a variety of defined individual antibodies. To address this challenge, we used a glycan microarray with over 800 different components to screen a panel of 516 human monoclonal antibodies that had been randomly cloned from different B-cell subsets originating from healthy human subjects. We obtained 26 antiglycan antibodies, most of which bound microbial carbohydrates. The majority of the antiglycan antibodies identified in the screen displayed selective binding for specific glycan motifs on our array and lacked polyreactivity. We found that antiglycan antibodies were about twice as likely than expected to originate from IgG⁺ memory B cells, whereas none were isolated from naïve, early emigrant, or immature B cells. Therefore, our results indicate that certain B-cell subsets in our panel are enriched in antiglycan antibodies, and IgG⁺ memory B cells may be a promising source of such antibodies. Furthermore, some of the newly identified antibodies bound glycans for which there are no reported monoclonal antibodies available, and these may be useful as research tools, diagnostics, or therapeutic agents. Overall, the results provide insight into the types and properties of antiglycan antibodies produced by the human immune system and a framework for the identification of novel antiglycan antibodies in the future.

Protein's Protein Corona: Nanoscale Size Evolution of Human Immunoglobulin G Aggregates Induced by Serum Albumin

Nanoparticles are readily coated by proteins in biological systems. The protein layers on the nanoparticles, which are called the protein corona, influence the biological impacts of the nanoparticles, including internalization into cells and cytotoxicity. This study expands the scope of the nanoparticle's protein corona for exogenous artificial nanoparticles to that for exogenous proteinaceous nanoparticles. Specifically, this study addresses the formation of protein coronas on nanoscale human antibody aggregates with a radius of approximately 20-40 nm, where the antibody aggregates were induced by a pH shift from low to neutral pH. The size of the human immunoglobulin G (hIgG) aggregates grew to approximately 25 times the original size in the presence of human serum albumin (HSA). This size evolution was ascribed to the association of the hIgG aggregates, which was triggered by the formation of the hIgG aggregate's protein corona, i.e., protein's protein corona, consisting of the adsorbed HSA molecules. Because hIgG aggregate association was significantly reduced by the addition of 30-150 mM NaCl, it was attributed to electrostatic attraction, which was supported by molecular dynamics (MD) simulations. Currently, the use of antibodies as biopharmaceuticals is concerning because of undesired immune responses caused by antibody aggregates that are typically generated by a pH shift during the antibody purification process. The present findings suggest that nanoscale antibody aggregates form protein coronas induced by HSA and the resulting nanoscale antibody-HSA complexes are stable in blood containing approximately 150 mM salt ions, at least in terms of the size evolution. Mechanistic insights into protein corona formation on nanoscale antibody aggregates are useful for understanding the unintentional biological impacts of antibody drugs.

Recombinant antibodies aggregation and overcoming strategies in CHO cells

Mammalian cell lines are frequently used as the preferred host cells for producing recombinant therapeutic proteins (RTPs) having post-translational modified modifications similar to those observed in proteins produced by human cells. Nowadays, most RTPs approved for marketing are produced in Chinese hamster ovary (CHO) cells. Recombinant therapeutic antibodies (RTAs) are among the most important and promising RTPs for biomedical applications. A major limitation associated with the use of RTAs is their aggregation, which can be caused by a variety of factors; this results in a reduction of quality. RTA aggregations are especially concerning as they can trigger human immune responses in humans and may be fatal. Therefore, the mechanisms underlying RTA aggregation and measures for avoiding aggregation are interesting topics in RTAs research. In this review, we discuss recent progress in the field of RTAs aggregation, with a focus on factors that cause aggregation during RTA production and the development of strategies for overcoming RTA aggregation. KEY POINTS: • The recombinant antibody aggregation in mammalian cell systems is reviewed. • Intracellular environment and extracellular parameters influence recombinant antibody aggregation. • Reducing the aggregations can improve the quality of recombinant antibodies.

Computational models for studying physical instabilities in high concentration biotherapeutic formulations

Computational prediction of the behavior of concentrated protein solutions is particularly advantageous in early development stages of biotherapeutics when material availability is limited and a large set of formulation conditions needs to be explored. This review provides an overview of the different computational paradigms that have been successfully used in modeling undesirable physical behaviors of protein solutions with a particular emphasis on high-concentration drug formulations. This includes models ranging from all-atom simulations, coarse-grained representations to macro-scale mathematical descriptions used to study physical instability phenomena of protein solutions such as aggregation, elevated viscosity, and phase separation. These models are compared and summarized in the context of the physical processes and their underlying assumptions and limitations. A detailed analysis is also given for identifying protein interaction processes that are explicitly or implicitly considered in the different modeling approaches and particularly their relations to various formulation parameters. Lastly, many of the shortcomings of existing computational models are discussed, providing perspectives and possible directions toward an efficient computational framework for designing effective protein formulations.

Live-cell imaging to analyze intracellular aggregation of recombinant IgG in CHO cells

Recombinant immunoglobulin G (IgG) aggregates are formed during their production. However, the process underlying intracellular/extracellular aggregation in cell culture conditions is not well understood, and no effective method exists to assess IgG aggregates. Here, we establish an approach to detect intracellular aggregates using AF.2A1, a small artificial protein that binds to non-native IgG conformers and aggregates. Fluorescent-labeled AF.2A1 is prepared via conjugation and transfected into antibody-producing Chinese hamster ovary (CHO) cells. Micrographic images show intracellular IgG aggregates in CHO cells. The relative amount of intracellular aggregates (versus total intracellular IgG) differed depending on the type of additives used during cell culture. Interestingly, the relative amount of intracellular aggregates moderately correlates with that of in vitro extracellular IgG aggregates, suggesting they are secreted. This method will allow the investigation of antibody aggregation in cells, and may guide the production of therapeutic antibodies with high yield/quality.

Nano-Microscopy of Therapeutic Antibody Aggregates in Solution

Scanning electron-assisted dielectric microscopy (SE-ADM) is a new microscope technology developed to observe the fine structure of biological samples in aqueous solution. One main advantage of SE-ADM is that it does not require sample pretreatment, including dehydration, drying, and staining, which is indispensable in conventional scanning electron microscopy (SEM) and can cause sample deformation. In addition, the sample is not directly irradiated with an electron beam in SE-ADM, further avoiding damage. The resolution of SE-ADM is higher than that of an optical microscope, which is typically used for observing biological samples in a solution, allowing for the observation of the detailed structure of samples. Considering these advantages, we applied SE-ADM to observe aggregates of therapeutic immunoglobulin G (IgG) of various sizes and shapes in an aqueous solution. In this chapter, we outline the step-by-step procedure for observing aggregates of monoclonal antibodies using SE-ADM and the subsequent analysis of the particle distribution and calculation of the fractal dimension using SE-ADM image data. The proposed method for particle analysis is highly reliable with respect to size measurement and can determine the diameter of a sample with an accuracy of ±20%, a precision of ±10%, and a lower limit of quantification of ≤50 nm. Further, by calculating the fractal dimension of the image, it is possible to classify the shape of the aggregates and determine the mechanism of aggregation.

First-order nucleation and subsequent growth promote liquid-liquid phase separation of a model IgG1 mAb

Although protein aggregation is commonly encountered during the manufacturing and storage of bio-therapeutics, the actual aggregation mechanism remains unclear, and little has been reported about the protein aggregation kinetics from time zero under particular solution conditions. In this study, we used real-time dynamic light scattering (DLS) to continuously monitor the time-dependent evolution of the Z-average hydrodynamic radius of a model IgG1 (JM2) immediately after the JM2 solution was subjected to various low temperatures (0-4 °C). We observed that JM2 aggregated to form nuclei first, and then it subsequently grew to small liquid droplets via a two-step, first-order, reversible process without causing irreversible structural changes: a slow first step defined as the "nucleation" step, wherein nuclei formed slowly until reaching a transitional time point (t_onset), and a much faster second step initiated after t_onset and the nucleus size of the protein increased rapidly, which eventually caused liquid droplet formation and liquid-liquid phase separation (LLPS). The "nucleation" rate constant (K_nucleation) and particle growth rate constant (K_growth), as well as t_onset, were found to be temperature, pH and concentration dependent. The aggregation of JM2 could be universally described by these two-step first-order kinetics: under conditions where JM2 aggregated very slowly, the second step was not observed within the experimental time scale, while under conditions where JM2 aggregated very rapidly, the first step could not be recorded. We believe that these three parameters, K_nucleation, K_growth, and t_onset, can be used to quantify and compare the aggregation kinetics of JM2 under different solution and temperature conditions and, furthermore, serve as a theoretical base to account for the key characteristics of the aggregation kinetics of JM2 and other protein therapeutics under conditions of interest.

Protein aggregation and immunogenicity of biotherapeutics

Recombinant proteins are the mainstay of biopharmaceuticals. A key challenge in the manufacturing and formulation of protein biologic products is the tendency for the active pharmaceutical ingredients to aggregate, resulting in irreversible drug loss, and an increase in immunogenicity risk. While the molecular mechanisms of protein aggregation have been discussed extensively in the literature, knowledge gaps remain in connecting the phenomenon in the context of immunogenicity of biotherapeutics. In this review, we discussed factors that drive aggregation of pharmaceutical recombinant proteins, and highlighted methods of prediction and mitigation that can be deployed through the development stages, from formulation to bioproduction. The purpose is to stimulate new dialogs that would bridge the interface between physical characterizations of protein aggregates in biotherapeutics and the functional attributes of the immune system.

Modelling of pH-dependence to develop a strategy for stabilising mAbs at acidic steps in production

Engineered proteins are increasingly being required to function or pass through environmental stresses for which the underlying protein has not evolved. A major example in health are antibody therapeutics, where a low pH step is used for purification and viral inactivation. In order to develop a computational model for analysis of pH-stability, predictions are compared with experimental data for the relative pH-sensitivities of antibody domains. The model is then applied to proteases that have evolved to be functional in an acid environment, showing a clear signature for low pH-dependence of stability in the neutral to acidic pH region, largely through reduction of salt-bridges. Interestingly, an extensively acidic protein surface can maintain contribution to structural stabilisation at acidic pH through replacement of basic sidechains with polar, hydrogen-bonding groups. These observations form a design principle for engineering acid-stable proteins.

Surfaces Affect Screening Reliability in Formulation Development of Biologics

PURPOSE

The ability to predict an antibody's propensity for aggregation is particularly important during product development to ensure the quality and safety of therapeutic antibodies. We demonstrate the role of container surfaces on the aggregation process of three mAbs under elevated temperature and long-term storage conditions in the absence of mechanical stress.

METHODS

A systematic study of aggregation is performed for different proteins, vial material, storage temperature, and presence of surfactant. We use size exclusion chromatography and micro-flow imaging to determine the bulk concentration of aggregates, which we combine with optical and atomic force microscopy of vial surfaces to determine the effect of solid-liquid interfaces on the bulk aggregate concentration under different conditions.

RESULTS

We show that protein particles under elevated temperature conditions adhere to the vial surfaces, causing a substantial underestimation of aggregation propensity as determined by common methods used in development of biologics. Under actual long-term storage conditions at 5°C, aggregate particles do not adhere to the surface, causing an increase in bulk concentration of particles, which cannot be predicted from elevated temperature screening tests by common methods alone. We also identify specific protein - surface interactions which promote oligomer formation in the nanometre range.

CONCLUSIONS

Special care should be taken when interpreting size exclusion and particle count data from stability studies if different temperatures and vial types are involved. We propose a novel combination of methods to characterise vial surfaces and bulk solution for a full understanding of protein aggregation processes in a sample.

Understanding mAb aggregation during low pH viral inactivation and subsequent neutralization

Monoclonal antibodies (mAbs) and related recombinant proteins continue to gain importance in the treatment of a great variety of diseases. Despite significant advances, their manufacturing can still present challenges owing to their molecular complexity and stringent regulations with respect to product purity, stability, safety, and so forth. In this context, protein aggregates are of particular concern due to their immunogenic potential. During manufacturing, mAbs routinely undergo acidic treatment to inactivate viral contamination, which can lead to their aggregation and thereby to product loss. To better understand the underlying mechanism so as to propose strategies to mitigate the issue, we systematically investigated the denaturation and aggregation of two mAbs at low pH as well as after neutralization. We observed that at low pH and low ionic strength, mAb surface hydrophobicity increased whereas molecular size remained constant. After neutralization of acidic mAb solutions, the fraction of monomeric mAb started to decrease accompanied by an increase on average mAb size. This indicates that electrostatic repulsion prevents denatured mAb molecules from aggregation under acidic pH and low ionic strength, whereas neutralization reduces this repulsion and coagulation initiates. Limiting denaturation at low pH by d-sorbitol addition or temperature reduction effectively improved monomer recovery after neutralization. Our findings might be used to develop innovative viral inactivation procedures during mAb manufacturing that result in higher product yields.

Purification of Human Monoclonal Antibodies and Their Fragments

This chapter summarizes the most common chromatographic mAb and mAb fragment purification methods, starting by elucidating the relevant properties of the compounds and introducing the various chromatography modes that are available and useful for this application. A focus is put on the capture step affinity and ion-exchange chromatography. Aspects of scalability play an important role in judging the suitability of the methods. The chapter introduces also analytical chromatographic methods that can be utilized for quantification and purity control of the product. In the case of mAbs, for most purposes the purity obtained using an affinity capture step is sufficient. Polishing steps are required if material of particularly high purity needs to be generated. For mAb fragments, affinity chromatography is not yet fully established, and the capture step potentially may not provide material of high purity. Therefore, the available polishing techniques are touched upon briefly. In the case of mAb isoform and bispecific antibody purification, countercurrent chromatography techniques have proven to be very useful and a part of this chapter has been dedicated to them, paying tribute to the rising interest in these antibody formats in research and industry.

In-Solution Microscopic Imaging of Fractal Aggregates of a Stressed Therapeutic Antibody

Aggregates of therapeutic proteins that can contaminate drug products during manufacture is a growing concern for the pharmaceutical industry because the aggregates are potentially immunogenic. Electron microscopy is a typical, indispensable method for imaging nanometer- to micrometer-sized structures. Nevertheless, it is not ideal because it must be performed with ex situ monitoring under high-vacuum conditions, where the samples could be altered by staining and drying. Here, we introduce a scanning electron-assisted dielectric microscopy (SE-ADM) technique for in-solution imaging of monoclonal immunoglobulin G (IgG) aggregates without staining and drying. Remarkably, SE-ADM allowed assessment of the size and morphology of the IgG aggregates in solution by completely excluding drying-induced artifacts. SE-ADM was also beneficial to study IgG aggregation caused by temporary acid exposure followed by neutralization, pH-shift stress. A box-counting analysis of the SE-ADM images provided fractal dimensions of the larger aggregates, which complemented the fractal dimensions of the smaller aggregates measured by light scattering. The scale-free or self-similarity nature of the fractal aggregates indicated that a common mechanism for antibody aggregation existed between the smaller and larger aggregates. Consequently, SE-ADM is a useful method for characterizing protein aggregates to bridge the gaps that occur among conventional analytical methods, such as those related to in situ/ ex situ techniques or size/morphology assessments.

Suppression of Aggregation of Therapeutic Monoclonal Antibodies during Storage by Removal of Aggregation Precursors Using a Specific Adsorbent of Non-Native IgG Conformers

The quality of preparations of therapeutic IgG molecules, widely used for the treatment of various diseases, should be maintained during storage and administration. Nevertheless, recent studies demonstrate that IgG aggregation is one of the most critical immunogenicity risk factors that compromises safety and efficacy of therapeutic IgG molecules in the clinical setting. During the IgG manufacturing process, 0.22-μm membrane filters are commonly used to remove aggregates. However, particles with a diameter below 0.22 μm (small aggregates) are not removed from the final product. The residual species may grow into large aggregates during the storage period. In the current study, we devised a strategy to suppress IgG aggregate growth by removing aggregation precursors using the artificial protein AF.2A1. This protein efficiently binds the Fc region of non-native IgG conformers generated under chemical and physical stresses. Magnetic beads conjugated with AF.2A1 were used to remove non-native monomers and aggregates from solutions of native IgG and from native IgG solutions spiked with stressed IgG. The time-dependent growth of aggregates after the removal treatment was monitored. The removal of aggregation precursors, i.e., non-native monomers and nanometer aggregates (<100 nm), suppressed the aggregate growth. The presented findings demonstrate that a removal treatment with a specific adsorbent of non-native IgG conformers enables long-term stable storage of therapeutic IgG molecules and will facilitate mitigation of the immunogenicity of IgG preparations.

Characterisation of protein aggregation with the Smoluchowski coagulation approach for use in biopharmaceuticals

Protein aggregation is a field of increasing importance in the biopharmaceutical industry. Aggregated particles decrease the effectiveness of the drug and are associated with other risks, such as increased immunogenicity. This article explores the possibility of using the Smoluchowski coagulation equation and similar models in the prediction of aggregate-particle formation. Three different monoclonal antibodies, exhibiting different aggregation pathways, are analysed. Experimental data are complemented with aggregation dynamics calculated by a coagulation model. Different processes are implemented in the coagulation equation approach, needed to cover the actual phenomena observed in the aggregation of biopharmaceuticals, such as the initial conformational change of the native monomer and reversibility of smaller oligomers. When describing the formation of larger particles, the effect of different aggregation kernel parameters on the corresponding particle size distribution is studied. A significant impact of the aggregate fractal nature on overall particle size distribution is also analysed. More generally, this work is aimed to establish a mesoscopic phenomenological approach for characterisation of protein aggregation phenomena in the context of biopharmaceuticals, capable of covering various aggregate size scales from nanometres to micrometres and reach large time-scales, up to years, as needed for drug development.

Viscosity Control of Protein Solution by Small Solutes: A Review

Viscosity of protein solution is one of the most troublesome issues for the high-concentration formulation of protein drugs. In this review, we summarize the practical methods that suppress the viscosity of protein solution using small molecular additives. The small amount of salts decreases the viscosity that results from electrostatic repulsion and attraction. The chaotrope suppresses the hydrophobic attraction and cluster formation, which can lower the solution viscosity. Arginine hydrochloride (ArgHCl) also suppresses the solution viscosity due to the hydrophobic and aromatic interactions between protein molecules. The small molecular additives are the simplest resolution of the high viscosity of protein solution as well as understanding of the primary cause in complex phenomena of protein interactions.

AlphaScreen-based homogeneous assay using a pair of 25-residue artificial proteins for high-throughput analysis of non-native IgG

Therapeutic IgG becomes unstable under various stresses in the manufacturing process. The resulting non-native IgG molecules tend to associate with each other and form aggregates. Because such aggregates not only decrease the pharmacological effect but also become a potential risk factor for immunogenicity, rapid analysis of aggregation is required for quality control of therapeutic IgG. In this study, we developed a homogeneous assay using AlphaScreen and AF.2A1. AF.2A1 is a 25-residue artificial protein that binds specifically to non-native IgG generated under chemical and physical stresses. This assay is performed in a short period of time. Our results show that AF.2A1-AlphaScreen may be used to evaluate the various types of IgG, as AF.2A1 recognizes the non-native structure in the constant region (Fc region) of IgG. The assay was effective for detection of non-native IgG, with particle size up to ca. 500 nm, generated under acid, heat, and stirring conditions. In addition, this technique is suitable for analyzing non-native IgG in CHO cell culture supernatant and mixed with large amounts of native IgG. These results indicate the potential of AF.2A1-AlphaScreen to be used as a high-throughput evaluation method for process monitoring as well as quality testing in the manufacturing of therapeutic IgG.

Solution pH jump during antibody and Fc-fusion protein thaw leads to increased aggregation

Freeze-thaw cycles impact the amount of aggregation observed in antibodies and Fc-fusion proteins. Various formulation strategies are used to mitigate the amount of aggregation that occurs upon putting a protein solution through a freeze-thaw cycle. Additionally, low pH solutions cause native antibodies to unfold, which are prone to aggregate upon pH neutralization. There is great interest in the mechanism that causes therapeutic proteins to aggregate since aggregate species can cause unwanted immunogenicity in patients. Herein, an increase in aggregation is reported when the pH is adjusted from pH 3 up to a pH ranging from pH 4 to pH 7 during the thaw process of a frozen antibody solution. Raising the pH during the thaw process caused a significant increase in the percent aggregation observed. Two antibodies and one Fc-fusion protein were evaluated during the pH jump thaw process and similar effects were observed. The results provide a new tool to study the kinetics of therapeutic protein aggregation upon pH increase.