Improved detection of host cell proteins (HCPs) in a mammalian cell-derived antibody drug using liquid chromatography/mass spectrometry in conjunction with an HCP-enrichment strategy

Carrier-Guided Proteome Analysis in a High Protein Background: An Improved Approach to Host Cell Protein Identification

Many shotgun proteomics experiments are negatively influenced by highly abundant proteins, such as those measuring residual host cell proteins (HCP) amidst highly abundant recombinant biotherapeutic or plasma proteins amidst albumin and immunoglobulins. While western blotting and ELISAs can reveal the presence of specific low abundance proteins from highly abundant background proteins, mass spectrometry approaches are required to define the low abundance protein composition in these scenarios. The challenge in detecting low abundance proteins in a high protein background by standard shotgun approaches is that spectra are often not triggered on their peptides in data dependent acquisition methods but rather on the highly abundant background peptides. Here, we use tandem mass tags (TMT) to introduce a carrier proteome approach to enhance the detection of proteins, such as from residual host cell proteomes amidst a highly abundant background. Using a mixture of bovine serum albumin (BSA) and E. coli as a mock high background/low abundance target protein formulation, we demonstrate proof-of-principle experiments allowing the improved detection of target proteins amidst a high protein background. While we observed significant coisolation interference, we mitigated it by using a spike-in interference detection TMT channel. Finally, we use the approach to identify 300 residual E. coli proteins from a protein A pulldown of a human IgG antibody, demonstrating that it may be applicable to analysis of HCPs in biotherapeutic protein formulations.

In-Depth Host Cell Protein Analysis and Viral Protein Impurity Monitoring in Adeno-Associated Virus-Based Gene Therapy Products Using Optimized Wide Window Data-Dependent Acquisition Method

Compared to other protein therapeutics, there is currently limited knowledge about the residual host cell proteins (HCPs) in adeno-associated virus (AAV)-based gene therapy products. This is primarily due to the lack of a robust and sensitive mass spectrometry-based method for HCP analysis in AAV samples. Existing liquid chromatography-mass spectrometry methods used for analyzing HCPs in therapeutic monoclonal antibodies (mAbs) often cannot be directly applied to AAVs, due to some unique characteristics of AAV samples encountered during their development such as limited sample availability/protein concentration and the presence of surfactants. In this study, we have developed a novel workflow for robust and in-depth HCP analysis of AAV samples by combining wide-window data-dependent acquisition for improved low-abundance HCP detection with single-pot, solid-phase-enhanced sample preparation (SP3) for low-input sample preparation. Using this newly developed method, we were able to detect more than 650 HCPs in a commercial AAV1 sample with a high quantitative reproducibility. This represents a greater than 5-fold increase in HCP protein identification compared to an in-solution digestion method followed by traditional data-dependent acquisition. Similar benefits can also be achieved for other AAV serotypes that were produced internally and purified through different processes. The detection limit of this method is as low as 0.06 ng/mL, enabling more comprehensive HCP coverage in AAV samples. Moreover, for the first time, we have identified several process-related viral proteins, such as Rep 78 and E4. These proteins need to be closely monitored during AAV process development as they may present a greater risk for immunogenicity compared to HCPs that are derived from human HEK293 cells.

Applying UHPLC-HRAM MS/MS Method to Assess Host Cell Protein Clearance during the Purification Process Development of Therapeutic mAbs

Host cell proteins (HCPs) are one of the process-related impurities that need to be well characterized and controlled throughout biomanufacturing processes to assure the quality, safety, and efficacy of monoclonal antibodies (mAbs) and other protein-based biopharmaceuticals. Although ELISA remains the gold standard method for quantification of total HCPs, it lacks the specificity and coverage to identify and quantify individual HCPs. As a complementary method to ELISA, the LC-MS/MS method has emerged as a powerful tool to identify and profile individual HCPs during the downstream purification process. In this study, we developed a sensitive, robust, and reproducible analytical flow ultra-high-pressure LC (UHPLC)-high-resolution accurate mass (HRAM) data-dependent MS/MS method for HCP identification and monitoring using an Orbitrap Ascend BioPharma Tribrid mass spectrometer. As a case study, the developed method was applied to an in-house trastuzumab product to assess HCP clearance efficiency of the newly introduced POROS™ Caprylate Mixed-Mode Cation Exchange Chromatography resin (POROS Caprylate mixed-mode resin) by monitoring individual HCP changes between the trastuzumab sample collected from the Protein A pool (purified by Protein A chromatography) and polish pool (purified by Protein A first and then further purified by POROS Caprylate mixed-mode resin). The new method successfully identified the total number of individual HCPs in both samples and quantified the abundance changes in the remaining HCPs in the polish purification sample.

Identification of Acyl-Protein Thioesterase-1 as a Polysorbate-Degrading Host Cell Protein in a Monoclonal Antibody Formulation Using Activity-Based Protein Profiling

Polysorbate (PS) degradation in monoclonal antibody (mAb) formulations poses a significant challenge in the biopharmaceutical industry. PS maintains protein stability during drug product's shelf life but is vulnerable to breakdown by low-abundance residual host cell proteins (HCPs), particularly hydrolytic enzymes such as lipases and esterases. In this study, we used activity-based protein profiling (ABPP) coupled with mass spectrometry to identify acyl-protein thioesterase-1 (APT-1) as a polysorbate-degrading HCP in one case of mAb formulation with stability problems. We validated the role of APT1 by matching the polysorbate degradation fingerprint in the mAb formulation with that of a recombinant APT1 protein. Furthermore, we found an agreement between APT1 levels and PS degradation rates in the mAb formulation, and we successfully halted PS degradation using APT1-specific inhibitors ML348 and ML211. APT1 was found to co-purify with a specific mAb via hitchhiking mechanism. Our work provides a streamlined approach to identifying critical HCPs in PS degradation, supporting quality-by-design principles in pharmaceutical development.

Illuminating a biologics development challenge: systematic characterization of CHO cell-derived hydrolases identified in monoclonal antibody formulations

Monoclonal antibodies (mAb) and other biological drugs are affected by enzymatic polysorbate (PS) degradation that reduces product stability and jeopardizes the supply of innovative medicines. PS represents a critical surfactant stabilizing the active pharmaceutical ingredients, which are produced by recombinant Chinese hamster ovary (CHO) cell lines. While the list of potential PS-degrading CHO host cell proteins (HCPs) has grown over the years, tangible data on industrially relevant HCPs are still scarce. By means of a highly sensitive liquid chromatography-tandem mass spectrometry method, we investigated seven different mAb products, resulting in the identification of 12 potentially PS-degrading hydrolases, including the strongly PS-degrading lipoprotein lipase (LPL). Using an LPL knockout CHO host cell line, we were able to stably overexpress and purify the remaining candidate hydrolases through orthogonal affinity chromatography methods, enabling their detailed functional characterization. Applying a PS degradation assay, we found nine mostly secreted, PS-active hydrolases with varying hydrolytic activity. All active hydrolases showed a serine-histidine-aspartate/glutamate catalytical triad. Further, we subjected the active hydrolases to pH-screenings and revealed a diverse range of activity optima, which can facilitate the identification of residual hydrolases during bioprocess development. Ultimately, we compiled our dataset in a risk matrix identifying PAF-AH, LIPA, PPT1, and LPLA2 as highly critical hydrolases based on their cellular expression, detection in purified antibodies, active secretion, and PS degradation activity. With this work, we pave the way toward a comprehensive functional characterization of PS-degrading hydrolases and provide a basis for a future reduction of PS degradation in biopharmaceutical drug products.

Advanced mass spectrometry workflows for accurate quantification of trace-level host cell proteins in drug products: Benefits of FAIMS separation and gas-phase fractionation DIA

Therapeutic monoclonal antibodies (mAb) production relies on multiple purification steps before release as a drug product (DP). A few host cell proteins (HCPs) may co-purify with the mAb. Their monitoring is crucial due to the considerable risk they represent for mAb stability, integrity, and efficacy and their potential immunogenicity. Enzyme-linked immunosorbent assays (ELISA) commonly used for global HCP monitoring present limitations in terms of identification and quantification of individual HCPs. Therefore, liquid chromatography tandem mass spectrometry (LC-MS/MS) has emerged as a promising alternative. Challenging DP samples show an extreme dynamic range requiring high performing methods to detect and reliably quantify trace-level HCPs. Here, we investigated the benefits of adding high-field asymmetric ion mobility spectrometry (FAIMS) separation and gas phase fractionation (GPF) prior to data independent acquisition (DIA). FAIMS LC-MS/MS analysis allowed the identification of 221 HCPs among which 158 were reliably quantified for a global amount of 880 ng/mg of NIST mAb Reference Material. Our methods have also been successfully applied to two FDA/EMA approved DPs and allowed digging deeper into the HCP landscape with the identification and quantification of a few tens of HCPs with sensitivity down to the sub-ng/mg of mAb level.

A highly sensitive and robust LC-MS platform for host cell protein characterization in biotherapeutics

Host cell proteins (HCPs) are a major class of process-related impurities that need to be closely monitored during the production of biotherapeutics. Mass spectrometry (MS) has emerged as a promising tool for HCP analysis due to its specificity for individual HCP's identification and quantitation. However, utilization of MS as a routine characterization tool is still limited due to the time-consuming procedures, non-standardized instrumentation and methodologies, and the limited sensitivity compared to the enzyme-linked immunosorbent assays (ELISA). In this study, we introduced a sensitive (limit of detection (LOD) at 1-2 ppm) and robust HCP profiling platform method with suitable precision and accuracy that can be readily adopted to antibodies and other biotherapeutic modalities without the need for HCP enrichment. The NIST mAb and multiple in-house antibodies were analyzed, and results were benchmarked with other reported studies. In addition, a targeted analysis method with optimized sample preparation for absolute quantitation of lipases was developed and qualified with an LOD of 0.6 ppm and precision of <15%, which can be further improved to an LOD of 5 ppb by using the nano-flow LC.

Identification and Quantification of a Problematic Host Cell Protein to Support Therapeutic Protein Development

Monitoring of residual host cell proteins (HCPs) in therapeutic protein is essential to ensure product quality, safety and efficacy. Despite the development of advanced mass spectrometry techniques and optimized workflows, identifying and quantifying all problematic HCPs present at low levels remain challenging. Here, we developed a practical, effective strategy for the identification and quantification of low abundance HCPs, which facilitates the improvement of downstream purification process to eliminate potentially problematic HCPs. A case study of using this strategy to investigate a problematic HCP is presented. Initially, a commonly used native digestion approach coupled with UPLC-MS/MS was applied for HCP profiling, wherein several lipases and proteases were identified in a monoclonal antibody named mAb1 in early stages of purification process development. A highly active lipase, liver carboxylesterase (CES), was found to be responsible for polysorbate 80 degradation. To facilitate process improvement, after the identification of CES, we developed a highly sensitive LC-MS/MS-MRM assay with a lower limit of quantification of 0.05 ppm for routine monitoring of the CES in mAb1 produced through the different processes. This workflow was applied in low-level lipase identification and absolute quantification, which facilitated the investigation of polysorbate degradation and downstream purification improvement to further remove the problematic HCP. The current MRM method increased the sensitivity of HCP quantification by over 10-fold that in previously published studies, thus meeting the needs for quantification of problematic HCPs at sub-ppm to ppb levels during drug development. This workflow could be readily adapted to the detection and quantification of other problematic HCPs present at extremely low levels in therapeutic protein drug candidates.

Technical advancement and practical considerations of LC-MS/MS-based methods for host cell protein identification and quantitation to support process development

Host cell proteins (HCPs) are process-related impurities derived from the manufacturing of recombinant biotherapeutics. Residual HCP in drug products, ranging from 1 to 100 ppm (ng HCP/mg product) or even below sub-ppm level, may affect product quality, stability, efficacy, or safety. Therefore, removal of HCPs to appropriate levels is critical for the bioprocess development of biotherapeutics. Liquid chromatography-mass spectrometry (LC-MS) analysis has become an important tool to identify, quantify, and monitor the clearance of individual HCPs. This review covers the technical advancement of sample preparation strategies, new LC-MS-based techniques, and data analysis approaches to robustly and sensitively measure HCPs while overcoming the high dynamic range analytical challenges. We also discuss our strategy for LC-MS-based HCP workflows to enable fast support of process development throughout the product life cycle, and provide insights into developing specific analytical strategies leveraging LC-MS tools to control HCPs in process and mitigate their potential risks to drug quality, stability, and patient safety.

Host cell protein identification in monoclonal antibody high molecular weight species

High molecular weight (HMW) species are product-related variants that may impact therapeutic product safety and efficacy. Therefore, HMW species and aggregates are considered critical quality attributes and their levels should be closely monitored and controlled during drug development, commercial manufacturing, and shelf-life storage period for therapeutic monoclonal antibody drug products. Various biophysical and analytical methods have been developed to characterize the HMW species to understand their mechanisms of formation and assess potential product risk. However, host cell protein (HCP) analysis has seldom been conducted to characterize the impurities in aggregates. In this work, HCP analysis of enriched HMW species and drug substance (DS) from five different monoclonal antibodies (mAbs) was performed. More HCPs are identified in the enriched HMW than in the DS, thus demonstrating a potential interaction between HCPs and HMW. Certain HCPs, including commonly detected HCPs and problematic HCPs, were enriched in HMW fractions. Especially, the most abundant HCP from mAb1, CC motif chemokine, was 46 times more abundant in enriched HMW than DS. The enriched HMW was further fractionated into enriched dimers and enriched very HMW (vHMW) fractions. The CC motif chemokine was found to interact mainly with mAb1 dimer species rather than vHMW fraction. Removing the HMW species from mAb1 significantly decreased the CC motif chemokine level in the final mAb1 DS. Our findings demonstrate that some HCPs are more preferentially bound to HMW species and this finding may provide a new opportunity for removing HCPs in downstream purification steps.

Biopharmaceutical quality control with mass spectrometry

Mass spectrometry (MS) is a powerful technique for protein identification, quantification and characterization that is widely applied in biochemical studies, and which can provide data on the quantity, structural integrity and post-translational modifications of proteins. It is therefore a versatile and widely used analytic tool for quality control of biopharmaceuticals, especially in quantifying host-cell protein impurities, identifying post-translation modifications and structural characterization of biopharmaceutical proteins. Here, we summarize recent advances in MS-based analyses of these key quality attributes of the biopharmaceutical development and manufacturing processes.

Targeted CHO cell engineering approaches can reduce HCP-related enzymatic degradation and improve mAb product quality

Host cell proteins (HCP) that co-purify with biologics produced in Chinese hamster ovary cells have been shown to impact product quality through proteolytic degradation of recombinant proteins, leading to potential product losses. Several problematic HCPs can remain in the final product even after extensive purification. Each recombinant cell line has a unique HCP profile that can be determined by numerous upstream and downstream factors, including clonal variation and the protein sequence of the expressed therapeutic molecule. Here, we worked with recombinant cell lines with high levels of copurifying HCPs, and showed that in those cell lines even modest downregulation (≤50%) of the difficult to remove HCP Cathepsin D, through stable short hairpin RNA interference or monoallelic deletion of the target gene using CRISPR-Cas9, is sufficient to greatly reduce levels of co-purifying HCP as measured by high throughput targeted LC-MS. This reduction led to improved product quality by reducing fragmentation of the drug product in forced degradation studies to negligible levels. We also show the potential of cell engineering to target other undesired HCPs and relieve the burden on downstream purification.

Simple and Sensitive Method for Deep Profiling of Host Cell Proteins in Therapeutic Antibodies by Combining Ultra-Low Trypsin Concentration Digestion, Long Chromatographic Gradients, and BoxCar Mass Spectrometry Acquisition

Liquid chromatography coupled to mass spectrometry (LC-MS) is a powerful tool for the analysis of host cell proteins (HCP) during antibody drug process development due to its sensitivity, selectivity, and adaptability. However, the enormous dynamic range between the therapeutic antibody and accompanying HCPs poses a significant challenge for LC-MS based detection of these low abundance impurities. To address this challenge, enrichment of HCPs via immunoaffinity, protein A, 2D-LC, or other strategies is typically performed. However, these enrichments are time-consuming and sometimes require a large quantity of sample. Here, we report a simple and sensitive strategy to analyze HCPs in therapeutic antibody samples without cumbersome enrichment by combining an ultra-low trypsin concentration during digestion under nondenaturing conditions, a long chromatographic gradient, and BoxCar acquisition (ULTLB) on a quadrupole-Orbitrap mass spectrometer. Application of this strategy to the NIST monoclonal antibody standard (NISTmAb) resulted in the identification of 453 mouse HCPs, which is a significant increase in the number of identified HCPs without enrichment compared to previous reports. Known amounts of HCPs were spiked into the purified antibody drug substance, demonstrating that the method sensitivity is as low as 0.5 ppm. Thus, the ULTLB method represents a sensitive and simple platform for deep profiling of HCPs in antibodies.

Multi-dimensional LC-MS: the next generation characterization of antibody-based therapeutics by unified online bottom-up, middle-up and intact approaches

This review presents an overview of current analytical trends in antibody characterization by multidimensional LC-MS approaches.

Improved host cell protein analysis in monoclonal antibody products through ProteoMiner

Host cell proteins (HCPs) impurities are critical quality attributes that have the potential to negatively impact the quality and safety profile of a biopharmaceutical product. Since HCPs often are present at low levels, developing highly sensitive analytical method for their identification and quantitation is critical for process optimization and improvement to reduce them in the final drug product. While an enzyme-linked immunosorbent assay (ELISA) can capture and quantify overall HCP levels, liquid chromatography coupled to mass spectrometry (LC-MS) is emerging as a powerful tool to monitor individual HCP levels during the purification process development. The massive dynamic range of protein species present in a therapeutic antibody is a major challenge for mass spectrometry-based methods to detect low-abundance HCP impurities. This study reports a powerful strategy to identify HCPs in antibody drug substance by applying ProteoMiner enrichment with optimized conditions followed by shotgun proteomic analysis. Using this strategy, we observed that the low abundance HCPs were enriched up to 1000-fold. In addition, by spiking in known amounts of HCPs to purified antibody drug substance with low levels of HCPs, we demonstrated that our method could detect HCP at a concentration as low as 0.05 ppm. When applying this methodology to the study of HCPs in NIST monoclonal antibody (NISTmAb), more than 500 HCPs were confidently identified, which tripled the number of identified HCPs that have been previously reported. Parallel reaction monitoring (PRM) results confirmed that the novel HCPs found using this method were enriched between 100 and 400-fold, highlighting that our method enriches and equalizes all proteins thus improving the sensitivity of HCP identification and quantification.

Exploring sample preparation and data evaluation strategies for enhanced identification of host cell proteins in drug products of therapeutic antibodies and Fc-fusion proteins

Manufacturing of biopharmaceuticals involves recombinant protein expression in host cells followed by extensive purification of the target protein. Yet, host cell proteins (HCPs) may persist in the final drug product, potentially reducing its quality with respect to safety and efficacy. Consequently, residual HCPs are closely monitored during downstream processing by techniques such as enzyme-linked immunosorbent assay (ELISA) or high-performance liquid chromatography combined with tandem mass spectrometry (HPLC-MS/MS). The latter is especially attractive as it provides information with respect to protein identities. Although the applied HPLC-MS/MS methodologies are frequently optimized with respect to HCP identification, acquired data is typically analyzed using standard settings. Here, we describe an improved strategy for evaluating HPLC-MS/MS data of HCP-derived peptides, involving probabilistic protein inference and peptide detection in the absence of fragment ion spectra. This data analysis workflow was applied to data obtained for drug products of various biotherapeutics upon protein A affinity depletion. The presented data evaluation strategy enabled in-depth comparative analysis of the HCP repertoires identified in drug products of the monoclonal antibodies rituximab and bevacizumab, as well as the fusion protein etanercept. In contrast to commonly applied ELISA strategies, the here presented workflow is process-independent and may be implemented into existing HPLC-MS/MS setups for drug product characterization and process development.

Recent advancements, challenges, and practical considerations in the mass spectrometry-based analytics of protein biotherapeutics: A viewpoint from the biosimilar industry

The extensive analytical characterization of protein biotherapeutics, especially of biosimilars, is a critical part of the product development and registration. High-resolution mass spectrometry became the primary analytical tool used for the structural characterization of biotherapeutics. Its high instrumental sensitivity and methodological versatility made it possible to use this technique to characterize both the primary and higher-order structure of these proteins. However, even by using high-end instrumentation, analysts face several challenges with regard to how to cope with industrial and regulatory requirements, that is, how to obtain accurate and reliable analytical data in a time- and cost-efficient way. New sample preparation approaches, measurement techniques and data evaluation strategies are available to meet those requirements. The practical considerations of these methods are discussed in the present review article focusing on hot topics, such as reliable and efficient sequencing strategies, minimization of artefact formation during sample preparation, quantitative peptide mapping, the potential of multi-attribute methodology, the increasing role of mass spectrometry in higher-order structure characterization and the challenges of MS-based identification of host cell proteins. On the basis of the opportunities in new instrumental techniques, methodological advancements and software-driven data evaluation approaches, for the future one can envision an even wider application area for mass spectrometry in the biopharmaceutical industry.

A modular and adaptive mass spectrometry-based platform for support of bioprocess development toward optimal host cell protein clearance

A modular and adaptive mass spectrometry (MS)-based platform was developed to provide fast, robust and sensitive host cell protein (HCP) analytics to support process development. This platform relies on one-dimensional ultra-high performance liquid chromatography (1D UHPLC) combined with several different MS data acquisition strategies to meet the needs of purification process development. The workflow was designed to allow HCP composition and quantitation for up to 20 samples per day, a throughput considered essential for real time bioprocess development support. With data-dependent acquisition (DDA), the 1D UHPLC-MS/MS method had excellent speed and demonstrated robustness in detecting unknown HCPs at ≥ 50 ng/mg (ppm) level. Combining 1D UHPLC with sequential window acquisition of all theoretical spectra (SWATH) MS enabled simultaneous detection and quantitation of all HCPs in single-digit ng/mg range within 1 hour, demonstrating for the first time the benefit of SWATH MS as a technique for HCP analysis. As another alternative, a targeted MS approach can be used to track the clearance of specific known HCP under various process conditions. This study highlights the importance of designing a robust LC-MS/MS workflow that not only allows HCP discovery, but also affords greatly improved process knowledge and capability in HCP removal. As an orthogonal and complementary detection approach to traditional HCP analysis by enzyme-linked immunosorbent assay, the reported LC-MS/MS workflow supports the development of bioprocesses with optimal HCP clearance and the production of safe and high quality therapeutic biopharmaceuticals.

Quantitative definition and monitoring of the host cell protein proteome using iTRAQ - a study of an industrial mAb producing CHO-S cell line

There are few studies defining CHO host cell proteins (HCPs) and the flux of these throughout a downstream purification process. Here we have applied quantitative iTRAQ proteomics to follow the HCP profile of an antibody (mAb) producing CHO-S cell line throughout a standard downstream purification procedure consisting of a Protein A, cation and anion exchange process. We used both 6 sample iTRAQ experiment to analyze technical replicates of three samples, which were culture harvest (HCCF), Protein A flow through and Protein A eluate and an 8 sample format to analyze technical replicates of four sample types; HCCF compared to Protein A eluate and subsequent cation and anion exchange purification. In the 6 sample iTRAQ experiment, 8781 spectra were confidently matched to peptides from 819 proteins (including the mAb chains). Across both the 6 and 8 sample experiments 936 proteins were identified. In the 8 sample comparison, 4187 spectra were confidently matched to peptides from 219 proteins. We then used the iTRAQ data to enable estimation of the relative change of individual proteins across the purification steps. These data provide the basis for application of iTRAQ for process development based upon knowledge of critical HCPs.

Characterization of therapeutic antibodies and related products by two-dimensional liquid chromatography coupled with UV absorbance and mass spectrometric detection

The development of analytical tools for the characterization of large biomolecules is an emerging and rapidly evolving area. This development activity is motivated largely by the current trend involving the increase in development and use of large biomolecules for therapeutic uses. Given the inherent complexity of these biomolecules, which arises from their sheer size and possibilities for chemical modification as well as changes over time (e.g., through modification in solution, aggregation), two-dimensional liquid chromatography (2D-LC) has attracted considerable interest as an analytical tool to address the challenges faced in characterizing these materials. The immediate potential benefits of 2D-LC over conventional one-dimensional liquid chromatography in this context include: (1) higher overall resolving power; (2) complementary information gained from two dimensions of separation in a single analysis; and (3) enabling indirect coupling of separation modes that are inherently incompatible with mass spectrometric (MS) detection (e.g., ion-exchange, because of high-salt eluents) to MS through a more compatible second dimension separation such as reversed-phase LC. In this review we summarize the work in this area, most of which has occurred in the past five years. Although the future is bright for further development in this area, some challenges have already been addressed through new 2D-LC methods. These include: (1) deep characterization of monoclonal antibodies to understand charge heterogeneity, glycosylation patterns, and other modifications; (2) characterization of antibody-drug conjugates to understand the extent and localization of small molecule conjugation; (3) detailed study of excipients in protein drug formulations; and (4) detection of host-cell proteins on biotherapeutic molecule preparations. We fully expect that in the near future we will see this list expanded, and that continued development will lead to methods with further improved performance metrics.

The future of host cell protein (HCP) identification during process development and manufacturing linked to a risk-based management for their control

The use of biological systems to synthesize complex therapeutic products has been a remarkable success. However, during product development, great attention must be devoted to defining acceptable levels of impurities that derive from that biological system, heading this list are host cell proteins (HCPs). Recent advances in proteomic analytics have shown how diverse this class of impurities is; as such knowledge and capability grows inevitable questions have arisen about how thorough current approaches to measuring HCPs are. The fundamental issue is how to adequately measure (and in turn monitor and control) such a large number of protein species (potentially thousands of components) to ensure safe and efficacious products. A rather elegant solution is to use an immunoassay (enzyme-linked immunosorbent assay [ELISA]) based on polyclonal antibodies raised to the host cell (biological system) used to synthesize a particular therapeutic product. However, the measurement is entirely dependent on the antibody serum used, which dictates the sensitivity of the assay and the degree of coverage of the HCP spectrum. It provides one summed analog value for HCP amount; a positive if all HCP components can be considered equal, a negative in the more likely event one associates greater risk with certain components of the HCP proteome. In a thorough risk-based approach, one would wish to be able to account for this. These issues have led to the investigation of orthogonal analytical methods; most prominently mass spectrometry. These techniques can potentially both identify and quantify HCPs. The ability to measure and monitor thousands of proteins proportionally increases the amount of data acquired. Significant benefits exist if the information can be used to determine critical HCPs and thereby create an improved basis for risk management. We describe a nascent approach to risk assessment of HCPs based upon such data, drawing attention to timeliness in relation to biosimilar initiatives. The development of such an approach requires databases based on cumulative knowledge of multiple risk factors that would require national and international regulators, standards authorities (e.g., NIST and NIBSC), industry and academia to all be involved in shaping what is the best approach to the adoption of the latest bioanalytical technology to this area, which is vital to delivering safe efficacious biological medicines of all types.

Quantitative host cell protein analysis using two dimensional data independent LC-MS(E)

Host cell proteins (HCPs) are bioprocess-related impurities arising from cell-death or secretion from nonhuman cells used for recombinant protein production. Clearance of HCPs through downstream purification (DSP) is required to produce safe and efficacious therapeutic proteins. While traditionally measured using anti-HCP ELISA, more in-depth approaches for HCP characterization may ensure that risks to patients from HCPs are adequately assessed. Mass spectrometry methods provide rationale for targeted removal strategies through the provision of both qualitative and quantitative HCP information. A high pH, low pH, reversed-phase data independent 2D-LC-MS(E) proteomic platform was applied to determine HCP repertoires in the Protein A purified monoclonal antibody (mAb) samples as a function of culture harvest time, elution buffer used for DSP and also following inclusion of additional DSP steps. Critical quality attributes (CQAs) were examined for mAbs purified with different Protein A elution buffers to ensure that the selected buffers not only minimized the HCP profile but also exhibited no adverse effect on product quality. Results indicated that an arginine based Protein A elution buffer minimized the levels of HCPs identified and quantified in a purified mAb sample and also demonstrated no impact on product CQAs. It was also observed that mAbs harvested at later stages of cell culture contained higher concentrations of HCPs but that these were successfully removed by the addition of DSP steps complementary to Protein A purification. Taken together, our results showed how mass spectrometry based methods for HCP determination in conjunction with careful consideration of processing parameters such as harvest time, Protein A elution buffers, and subsequent DSP steps can reduce the HCP repertoire of therapeutic mAbs.

Toward the complete characterization of host cell proteins in biotherapeutics via affinity depletions, LC-MS/MS, and multivariate analysis

Host cell protein (HCP) impurities are generated by the host organism during the production of therapeutic recombinant proteins, and are difficult to remove completely. Though commonly present in small quantities, if levels are not controlled, HCPs can potentially reduce drug efficacy and cause adverse patient reactions. A high resolution approach for thorough HCP characterization of therapeutic monoclonal antibodies is presented herein. In this method, antibody samples are first depleted via affinity enrichment (e.g., Protein A, Protein L) using milligram quantities of material. The HCP-containing flow-through is then enzymatically digested, analyzed using nano-UPLC-MS/MS, and proteins are identified through database searching. Nearly 700 HCPs were identified from samples with very low total HCP levels (< 1 ppm to ∼ 10 ppm) using this method. Quantitation of individual HCPs was performed using normalized spectral counting as the number of peptide spectrum matches (PSMs) per protein is proportional to protein abundance. Multivariate analysis tools were utilized to assess similarities between HCP profiles by: 1) quantifying overlaps between HCP identities; and 2) comparing correlations between individual protein abundances as calculated by spectral counts. Clustering analysis using these measures of dissimilarity between HCP profiles enabled high resolution differentiation of commercial grade monoclonal antibody samples generated from different cell lines, cell culture, and purification processes.