Fate of a Stressed Therapeutic Antibody Tracked by Fluorescence Correlation Spectroscopy: Folded Monomers Survive Aggregation

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.

Application of Formulation Principles to Stability Issues Encountered During Processing, Manufacturing, and Storage of Drug Substance and Drug Product Protein Therapeutics

The field of formulation and stabilization of protein therapeutics has become rather extensive. However, most of the focus has been on stabilization of the final drug product. Yet, proteins experience stress and degradation through the manufacturing process, starting with fermentaition. This review describes how formulation principles can be applied to stabilize biopharmaceutical proteins during bioprocessing and manufacturing, considering each unit operation involved in prepration of the drug substance. In addition, the impact of the container on stabilty is discussed as well.

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.

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.

Monitoring Molecular Properties of a Fluorescence Light-Up Aptamer Using Fluorescence Cross-Correlation Spectroscopy

Fluorescence light-up aptamers (FLAPs) are tools for RNA imaging, wherein the RNA of interest is appended with a FLAP sequence that can bind to a corresponding small-molecule fluorogen and enhance its fluorescence. The fluorescence properties of FLAPs have mostly been analyzed in bulk and described as the average of a large number of RNA–fluorogen complexes. In this study, we evaluated the feasibility of fluorescence correlation spectroscopy (FCS)- and fluorescence cross-correlation spectroscopy (FCCS)-based quantifications of FLAPs in a solution using Broccoli, a common FLAP, and its corresponding fluorogen, DFHBI-1T. We investigated the folding efficiency, photostability, and photophysical properties of the Broccoli–DFHBI-1T complex using their FCS/FCCS characteristics. With FCS, we observed that the fluorescence was affected by the affinity between Broccoli and DFHBI-1T and the folding (maturation) state of Broccoli RNA. Moreover, the FCCS measurement of ATTO647N-labeled Broccoli and its complex with DFHBI-1T revealed the proportion of the mature Broccoli–DFHBI-1T complex. The current FCS/FCCS-based study of Broccoli–DFHBI-1T provides a model for analyzing FLAPs and their fluorogen pairs at the single-molecule level.

A computational method for predicting the aggregation propensity of IgG1 and IgG4(P) mAbs in common storage buffers

The propensity for some monoclonal antibodies (mAbs) to aggregate at physiological and manufacturing pH values can prevent their use as therapeutic molecules or delay time to market. Consequently, developability assessments are essential to select optimum candidates, or inform on mitigation strategies to avoid potential late-stage failures. These studies are typically performed in a range of buffer solutions because factors such as pH can dramatically alter the aggregation propensity of the test mAbs (up to 100-fold in extreme cases). A computational method capable of robustly predicting the aggregation propensity at the pH values of common storage buffers would have substantial value. Here, we describe a mAb aggregation prediction tool (MAPT) that builds on our previously published isotype-dependent, charge-based model of aggregation. We show that the addition of a homology model-derived hydrophobicity descriptor to our electrostatic aggregation model enabled the generation of a robust mAb developability indicator. To contextualize our aggregation scoring system, we analyzed 97 clinical-stage therapeutic mAbs. To further validate our approach, we focused on six mAbs (infliximab, tocilizumab, rituximab, CNTO607, MEDI1912 and MEDI1912_STT) which have been reported to cover a large range of aggregation propensities. The different aggregation propensities of the case study molecules at neutral and slightly acidic pH were correctly predicted, verifying the utility of our computational method.

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.

Glycosylation decreases aggregation and immunogenicity of adalimumab Fab secreted from Pichia pastoris

Glycoengineering of therapeutic proteins has been applied to improve the clinical efficacy of several therapeutics. Here, we examined the effect of glycosylation on the properties of the Fab of the therapeutic antibody, adalimumab. An N-glycosylation site was introduced at position 178 of the H chain constant region of adalimumab Fab through site-directed mutagenesis (H:L178N Fab), and the H:L178N Fab was produced in Pichia pastoris. Expressed mutant Fab contained long and short glycan chains (L-glyco Fab and S-glyco Fab, respectively). Under the condition of aggregation of Fab upon pH shift-induced stress, both of L-glyco Fab and S-glyco Fab were less prone to aggregation, with L-glyco Fab suppressing aggregation more effectively than the S-glyco Fab. Moreover, the comparison of the antigenicity of glycosylated and wild-type Fabs in mice revealed that glycosylation resulted in the suppression of antigenicity. Analysis of the pharmacokinetic behaviour of the Fab, L-glyco Fab and S-glyco Fab indicated that the half-lives of glycosylated Fabs in the rats were shorter than that of wild-type Fab, with L-glyco Fab having a shorter half-life than S-glyco Fab. Thus, we demonstrated that the glycan chain influences Fab aggregation and immunogenicity, and glycosylation reduces the elimination half-life in vivo.

Stability enhancement in a mAb and Fab coformulation

Multiple therapeutic proteins can be combined into a single dose for synergistic targeting to multiple sites of action. Such proteins would be mixed in dose-specific ratios to provide the correct potency for each component, and yet the formulations must also preserve their activity and keep degradation to a minimum. Mixing different therapeutic proteins could adversely affect their stability, and reduce the shelf life of each individual component, making the control of such products very challenging. In this study, a therapeutic monoclonal antibody and a related Fab fragment, were combined to investigate the impact of coformulation on their degradation kinetics. Under mildly destabilizing conditions, these proteins were found to protect each other from degradation. The protective effect appeared to originate from the interaction of Fab and IgG1 in small soluble oligomers, or through the rapid coalescence of pre-existing monomeric IgG1 nuclei into a dead-end aggregate, rather than through macromolecular crowding or diffusion-limitations.

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.

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.

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.

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.