Assessment Of Critical Quality Attributes Research Articles

Vaccine process technology-Adecade of progress.

In the past decade, new approaches to the discovery and development of vaccines have transformed the field. Advances during the COVID-19 pandemic allowed the production of billions of vaccine doses per year using novel platforms such as messenger RNA and viral vectors. Improvements in the analytical toolbox, equipment, and bioprocess technology have made it possible to achieve both unprecedented speed in vaccine development and scale of vaccine manufacturing. Macromolecular structure-function characterization technologies, combined with improved modeling and data analysis, enable quantitative evaluation of vaccine formulations at single-particle resolution and guided design of vaccine drug substances and drug products. These advances play a major role in precise assessment of critical quality attributes of vaccines delivered by newer platforms. Innovations in label-free and immunoassay technologies aid in the characterization of antigenic sites and the development of robust in vitro potency assays. These methods, along with molecular techniques such as next-generation sequencing, will accelerate characterization and release of vaccines delivered by all platforms. Process analytical technologies for real-time monitoring and optimization of process steps enable the implementation of quality-by-design principles and faster release of vaccine products. In the next decade, the field of vaccine discovery and development will continue to advance, bringing together new technologies, methods, and platforms to improve human health.

Quality by Design Framework Applied to GMMA Purification

In recent years, Generalized Modules for Membrane Antigens (GMMA) have received increased attention as an innovative vaccine platform against bacterial pathogens, particularly attractive for low- and middle-income countries because of manufacturing simplicity. The assessment of critical quality attributes (CQAs), product-process interactions, identification of appropriate in process analytical methods, and process modeling is part of a robust quality by design (QbD) framework to support further development and control of manufacturing processes. QbD implementation in the context of the GMMA platform will ensure robust manufacturing of batches with desired characteristics, facilitating technical transfer to local manufacturers, regulatory approval, and commercialization of vaccines based on this technology. Here, we summarize the methodology suggested, applied to a first step of GMMA manufacturing process.Graphical

Influence of pneumatic transportation on the stability of monoclonal antibodies

Pneumatic transportation systems (PTS) were recently proposed as a method to carry ready-for-injection diluted monoclonal antibodies (mAbs) from the pharmacy to the bedside of patients. This method reduces transportation time and improves the efficiency of drug distribution process. However, mAbs are highly sensitive molecules for which subtle alterations may lead to deleterious clinical effects. These alterations can be caused by various external factors such as temperature, pH, pressure, and mechanical forces that may occur during transportation. Hence, it is essential to ensure that the mAbs transported by PTS remain stable and active throughout the transportation process. This study aims to determine the safety profile of PTS to transport 11 routinely used mAbs in a clinical setting through assessment of critical quality attributes (CQA) and orthogonal analysis. Hence, we performed aggregation/degradation profiling, post-translational modifications identification using complementary mass spectrometry-based methods, along with visible and subvisible particle formation determination by light absorbance and light obscuration analysis. Altogether, these results highlight that PTS can be safely used for this purpose when air is removed from the bags during preparation.

Function-structure approach reveals novel insights on the interplay of Immunoglobulin G 1 proteoforms and Fc gamma receptor IIa allotypes.

Human Fc gamma receptor IIa (FcγRIIa) or CD32a has two major allotypes with a single amino acid difference at position 131 (histidine or arginine). Differences in FcγRIIa allotypes are known to impact immunological responses such as the clinical outcome of therapeutic monoclonal antibodies (mAbs). FcγRIIa is involved in antibody-dependent cellular phagocytosis (ADCP), which is an important contributor to the mechanism-of-action of mAbs by driving phagocytic clearance of cancer cells. Hence, understanding the impact of individual mAb proteoforms on the binding to FcγRIIa, and its different allotypes, is crucial for defining meaningful critical quality attributes (CQAs). Here, we report a function-structure based approach guided by novel FcγRIIa affinity chromatography-mass spectrometry (AC-MS) assays to assess individual IgG1 proteoforms. This allowed to unravel allotype-specific differences of IgG1 proteoforms on FcγRIIa binding. FcγRIIa AC-MS confirmed and refined structure-function relationships of IgG1 glycoform interactions. For example, the positive impact of afucosylation was higher than galactosylation for FcγRIIa Arg compared to FcγRIIa His. Moreover, we observed FcγRIIa allotype-opposing and IgG1 proteoform integrity-dependent differences in the binding response of stress-induced IgG1 proteoforms comprising asparagine 325 deamidation. The FcγRIIa-allotype dependent binding differences resolved by AC-MS were in line with functional ADCP-surrogate bioassay models. The molecular basis of the observed allotype specificity and proteoform selectivity upon asparagine 325 deamidation was elucidated using molecular dynamics. The observed differences were attributed to the contributions of an inter-molecular salt bridge between IgG1 and FcγRIIa Arg and the contribution of an intra-molecular hydrophobic pocket in IgG1. Our work highlights the unprecedented structural and functional resolution of AC-MS approaches along with predictive biological significance of observed affinity differences within relevant cell-based methods. This makes FcγRIIa AC-MS an invaluable tool to streamline the CQA assessment of therapeutic mAbs.

Determining buffer conditions for downstream processing of VLP-based recombinant hepatitis B surface antigen using multimodal resins in bind-elute and flow-through purification modes

The difficulties in purification of VLP-based recombinant hepatitis B surface antigen (rHBsAg) are mainly emerged from inefficient semi-purification step plus proteins physicochemical properties and these issues make the downstream processing (DSP) very lengthy and expensive. In this study, optimization of rHBsAg (recombinantly-expressed in Pichia pastoris) DSP was performed using selection of buffering conditions in the semi-purification step. In the semi-purification optimization step, up to 73% of the protein impurities were eliminated and the utmost increase in rHBsAg purity (ca. 3.6-fold) was achieved using 20 mM sodium acetate, pH 4.5. By using rHBsAg binding and nonbinding situations obtained from the response surface plot in design of experiments (DOE), additional bind-elute and flow-through purification mode experiments were conducted and rHBsAg with high purity (near 100%) and recovery (> 83%) was achieved. Following assessment of critical quality attributes (i.e., purity, particle size distribution, host cell DNA, host cell protein, secondary structures, specific activity and relative potency), it was indicated that the characteristics of rHBsAg purified by the new DSP were similar or superior to the ones obtained from conventional DSP. The purification performance of the resin was constantly retained (97–100%) and no significant resin damage took place after 10 adsorption–elution–cleaning cycles. The new DSP developed for production of rHBsAg in this study can substitute the conventional one with granting satisfactory target protein quality, long-lasting resin efficacy, shorter and less expensive process. This process may be also employable for purification of both non-VLP- and VLP- based target proteins expressed in the yeast.

CD3 Target Affinity Chromatography Mass Spectrometry as a New Tool for Function–Structure Characterization of T-Cell Engaging Bispecific Antibody Proteoforms and Product-Related Variants

T-cell engaging bispecific antibodies (TCBs) targeting CD3 and tumor-specific antigens are very promising therapeutic modalities. Since CD3 binding is crucial for the potency of TCBs, understanding the functional impact of CD3 antigen-binding fragment modifications is of utmost importance for defining critical quality attributes (CQA). The current CQA assessment strategy requires the integration of structure-based physicochemical separation and functional cell-based potency assays. However, this strategy is tedious, and coexisting proteoforms with potentially different functionalities may not be individually assessed. This increases the degree of ambiguities for defining meaningful CQAs, particularly for complex bispecific antibody formats such as TCBs. Here, we report for the first time a proof-of-concept study to separate and identify critically modified proteoforms of TCBs using functional CD3 target affinity chromatography (AC) coupled with online mass spectrometry (MS). Our method enabled functional distinction of relevant deamidated and glycosylated proteoforms and the simultaneous assessment of product-related variants such as TCB mispairings. For example, CD3 AC-MS allowed us to separate TCB mispairings with increased CD3 binding (i.e., knob-knob homodimers) within the bound fraction. The functional separation of proteoforms was validated using an established workflow for CQA identification based on thoroughly characterized ion-exchange fractions of a 2+1 TCB. In addition, the new method facilitated the criticality assessment of post-translational modifications in stress studies and structural variants in early stage clone selection. CD3 AC-MS has high impact for streamlining the integration of functional and structural characterizations of the large landscape of therapeutic CD3 targeting TCBs from early stage research to late stage characterization.

Comparative Assessment of Critical Quality Attributes of Sildenafil Tablets

Comparative Assessment of Critical Quality Attributes of Sildenafil Tablets

An Approach to Bioactivity Assessment for Critical Quality Attribute Identification Based on Antibody-Antigen Complex Structure.

Identification of critical quality attributes (CQAs) is an important step for development of biopharmaceuticals with intended performance. An accurate CQA assessment is needed to ensure product quality and focusing on development efforts where control is needed. The assignment of criticality is based on safety and efficacy. Efficacy is related to PK and bioactivity. Here, we developed a novel approach based on antibody-antigen complex structure and modeling as a complementary method for bioactivity assessment. To validate this approach, common product related quality attributes and mutagenesis data from several IgGs were assessed using available antibody-antigen complex structures, and results were compared with experimental data from bioactivity or binding affinity measurements. A stepwise evaluation scheme for structural based analysis is proposed; based on systematic assessment following the scheme, good correlation has been observed between structural analysis and experimental data. This demonstrates that such an approach can be applied as a complementary tool for bioactivity assessment. Main applications are 1) To decouple multiple attributes to achieve amino acid resolution for bioactivity assessment, 2) To assess bioactivity of attributes that cannot be experimentally generated, 3) To provide molecular mechanism for experimental observation and understand structure function relationship. Examples are provided to illustrate these applications.

Anion exchange chromatography – Mass spectrometry for monitoring multiple quality attributes of erythropoietin biopharmaceuticals

Assessment of critical quality attributes of the biopharmaceutical erythropoietin (EPO) prior to product release requires the use of several analytical methods. We developed an MS-compatible anion exchange (AEX) method for monitoring multiple quality attributes of EPO biopharmaceuticals. AEX was performed using a stationary phase with quaternary ammonium functional groups and a pH gradient for elution. Baseline separation of charge variants and high-quality MS data were achieved using 30 mM ammonium formate pH 5.5 and 30 mM formic acid pH 2.5 as mobile phases. In a single experiment, assessment of critical quality attributes, such as charge heterogeneity, sialic acid content and number of N-acetyllactosamine units, was possible while providing additional information on other modifications such as O-acetylation and deamidation. In addition, good repeatability and robustness for the relative areas of the individual glycoforms and average number of Neu5Ac per EPO molecule were observed. The results were comparable to common pharmacopeia and standard methods with the advantage of requiring fewer analytical methods and less sample treatment saving time and costs.

Improved Morphine-Loaded Hydrogels for Wound-Related Pain Relief.

The use of morphine applied topically to painful wounds has potential advantages, such as dose reduction, fewer side effects and compound formulations, have been proposed for this purpose. Given the potential high impact of drug product quality on a patient’s health, the aim of the present study was to develop two stable sterile hydrogels containing morphine hydrochloride, intended for topical application on painful wounds. Two carboxymethylcellulose sodium-based hydrogels were prepared containing 0.125% w/w (F1-MH semi-solid formulation) and 1.0% w/w (F2-MH fluid formulation) morphine hydrochloride (MH), respectively. Studies included a risk assessment approach for definition of the quality target product profile (QTPP) and assessment of critical quality attributes (CQA) of the hydrogels to support product quality and safety. Safe, odourless, yellowish, translucent and homogeneous gels were obtained, with suitable microbiological and pharmaceutical characteristics. The active substance concentration was adapted according to the characteristics of the dose-metering device. Release profiles were investigated using Franz diffusion cells, and characterised by different kinetic models. Increasing gel viscosity prolonged drug release, with rates of 17.9 ± 2.2 μg·cm−2·h−1 (F1-MH) and 258.0 ± 30.4 μg·cm−2·h−1 (F2-MH), allowing for the reduction of the number of applications and improving patient compliance. The gels proved to be stable for up to 60 days at room temperature. The semi-solid and fluid MH-containing hydrogel formulations are safe, stable and suitable for use in hospital settings, which is rather important for wound-related pain management in cancer palliative care or burn patients.

An evaluation roadmap for critical quality attributes from tier 1 in analytical similarity assessment.

Analytical similarity assessment of critical quality attributes (CQAs) serves as a foundation for the development of biosimilar products and facilitates an abbreviated subsequent clinical evaluation. In this study, we establish a statistical evaluation roadmap with statistical approaches for some selected CQAs from Tier 1, because they are most relevant to clinical outcomes and require the most rigorous statistical methods. In the roadmap, we incorporate 3 methods—ranking and tier assignment of quality attributes, the equivalence test, and the Mann–Whitney test for equivalence—that are important to determine analytical similarity between the reference and biosimilar products. For the equivalence test, we develop a power calculation formula based on the two one-sided tests procedure. Exact sample sizes can be numerically calculated. Then, we propose a flexible idea for selecting the number of reference lots (nR) and the number of biosimilar lots (nT) to adjust for serious unbalanced sample sizes. From results of extensive simulations under various parameter settings, we obtain a workable strategy to determine the optimum sample size combination (nT, nR) for the equivalence test of CQAs from Tier 1. R codes are provided to facilitate implementation of the roadmap and corresponding methods in practice.

The Identification of Critical Quality Attributes (CQAs) for the Development of Antibody Drugs

In the development of quality biopharmaceutical drugs, it is the level of knowledge gained, not the volume of data, which provides the basis for science-based submissions and their regulatory evaluation [International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) Q8 (R2)]. The identification of critical quality attributes (CQAs) is important as the initial step for quality by design (QbD) strategies. The impact of each potential critical attribute (pCQA) is assessed by using a systematic and scientific approach with respect to bioactivity, pharmacokinetics (PK)/pharmacodynamics (PD), immunogenicity, and safety of the biopharmaceutical drugs. The purpose of this section is to introduce a strategy for identifying CQA, and new analytical methods for CQA assessment.

Regulatory challenges of nanomedicines and their follow-on versions: A generic or similar approach?

Nanomedicines and follow-on versions (also called nanosimilars in the EU) have been on the market partially for decades although without recognition of their nano properties in the beginning; a substantial number is in clinical development. Nanomedicines are typically synthetic and belong to the non-biological complex drugs. They show a high variability in form, structure, and size. Additionally large molecule biologics show nano-characteristics meaning nano-dimension in size (1-100 nm) or specific properties related to these dimensions. The high complexity of nanomedicines with their heterogeneous structures do not allow a full physicochemical quality characterization, challenging the regulatory evaluation especially for follow-on versions upon comparison with the reference product. The generic paradigm with the sameness approach for quality and bioequivalence in blood plasma is not appropriate for nanomedicines where a similar approach is needed. After experiencing non-equivalence of authorized parenteral colloidal iron follow-on versions, EMA and FDA issued reflection papers and draft guidances for industry to present their current thinking on the evaluation of such complex products. A stepwise approach to evaluate the extent of similarity, from quality, including critical quality attributes (CQA) and assessment of nano properties, to a non-clinical biodistribution assay, required in the the EU but not in the US, and to clinical evaluation makes sense. The cumulated totality of evidence for the authorization of nanomedicine follow-on versions goes case-by-case. Interchangeability, or substitutability, is a challenge. However, a defined or even harmonized approval pathway for these follow-versions is still missing and causes potential differences in approval. To progress, a science-based discussion platform among stakeholders and experts in the field is necessary. An agenda has been agreed [5], namely CQA assessment, publication of scientific and clinical findings, consensus on nomenclature and labelling, and regulatory actions on substandard complex drug products. Consensus created in a public private approach will support progress towards a defined and harmonized regulatory pathway for nanomedicines and their follow-on versions. This will provide drug innovation but also larger access to follow-on versions of nanomedicines, both a benefit for the patient.

Quantitative assessment of mAb Fc glycosylation of CQA importance by capillary electrophoresis

The attached carbohydrates at the highly conserved asparagine-linked glycosylation site in the CH 2 domain of the fragment crystallizable (Fc) region of monoclonal antibody therapeutics can play an essential role in their mechanism of action, including ADCC, CDC, anti-inflammatory functions, and serum half-life. Thus, this particular glycosylation represents one of the important critical quality attributes (CQA) of therapeutic monoclonal antibodies, which should be closely monitored and controlled during all stages of biopharmaceutical manufacturing. To study Fc glycosylation related quantitative critical quality attributes, the N-glycan pool of adalimumab (Humira® ) was spiked with increasing amounts of mannose-5 oligosaccharide, a glycan with high CQA importance. The method enabled precise quantitative CQA assessment with high detection sensitivity.

Development and validation of a bioassay to evaluate binding of adalimumab to cell membrane-anchored TNFα using flow cytometry detection

Physicochemical and structural properties of proteins used as active pharmaceutical ingredients of biopharmaceuticals are determinant to carry out their biological activity. In this regard, the assays intended to evaluate functionality of biopharmaceuticals provide confirmatory evidence that they contain the appropriate physicochemical properties and structural conformation. The validation of the methodologies used for the assessment of critical quality attributes of biopharmaceuticals is a key requirement for manufacturing under GMP environments. Herein we present the development and validation of a flow cytometry-based methodology for the evaluation of adalimumab’s affinity towards membrane-bound TNFα (mTNFα) on recombinant CHO cells. This in vitro methodology measures the interaction between an in-solution antibody and its target molecule onto the cell surface through a fluorescent signal. The characteristics evaluated during the validation exercise showed that this methodology is suitable for its intended purpose. The assay demonstrated to be accurate (r2 = 0.92, slope = 1.20), precise (%CV ≤ 18.31) and specific (curve fitting, r2 = 0.986–0.997) to evaluate binding of adalimumab to mTNFα. The results obtained here provide evidence that detection by flow cytometry is a viable alternative for bioassays used in the pharmaceutical industry. In addition, this methodology could be standardized for the evaluation of other biomolecules acting through the same mechanism of action.

Next Generation Biopharmaceuticals: Product Development.

Therapeutic proteins show a rapid market growth. The relatively young biotech industry already represents 20 % of the total global pharma market. The biotech industry environment has traditionally been fast-pasted and intellectually stimulated. Nowadays the top ten best selling drugs are dominated by monoclonal antibodies (mABs).Despite mABs being the biggest medical breakthrough in the last 25 years, technical innovation does not stand still.The goal remains to preserve the benefits of a conventional mAB (serum half-life and specificity) whilst further improving efficacy and safety and to open new and better avenues for treating patients, e.g., improving the potency of molecules, target binding, tissue penetration, tailored pharmacokinetics, and reduced adverse effects or immunogenicity.The next generation of biopharmaceuticals can pose specific chemistry, manufacturing, and control (CMC) challenges. In contrast to conventional proteins, next-generation biopharmaceuticals often require lyophilization of the final drug product to ensure storage stability over shelf-life time. In addition, next-generation biopharmaceuticals require analytical methods that cover different ways of possible degradation patterns and pathways, and product development is a long way from being straight forward. The element of "prior knowledge" does not exist equally for most novel formats compared to antibodies, and thus the assessment of critical quality attributes (CQAs) and the definition of CQA assessment criteria and specifications is difficult, especially in early-stage development.

On the establishment of equivalence acceptance criterion in analytical similarity assessment

ABSTRACTFor the assessment of biosimilarity of biosimilar products, the United States (US) Food and Drug Administration (FDA) proposed a stepwise approach for providing the totality-of-the-evidence of similarity between a proposed biosimilar product and a US-licensed (reference) product. The stepwise approach starts with the assessment of critical quality attributes (CQAs) that are relevant to clinical outcomes in structural and functional characterization in the manufacturing process of the proposed biosimilar product. FDA suggests that these critical quality relevant attributes be identified and classified into three tiers depending on their criticality or risk ranking. To assist the sponsors, FDA also suggests some statistical approaches for the assessment of analytical similarity for CQAs from different tiers, namely equivalence test for Tier 1, quality range approach for Tier 2, and descriptive raw data and graphical comparison for Tier 3. Analytical similarity assessment for CQAs in Tier 1 is performed based on the equivalence acceptance criterion (EAC), which depends upon the estimate of variability of the reference product. The FDA’s recommended approach often underestimates the variability of the reference product because it does not take the worst possible lots into consideration. In this article, we examine the statistical properties of the FDA’s recommended approach and proposed alternative methods in establishing an alternative approach under the scenario where multiple samples drew from each lot.

Domain-specific free thiol variant characterization of an IgG1 by reversed-phase high-performance liquid chromatography mass spectrometry

Measurement of free thiols in antibody therapeutics is important for product development and assessment of critical quality attributes. Earlier studies demonstrated fast separation of free thiol variants of IgG1 using reversed-phase high performance liquid chromatography (RP-HPLC) with diphenyl resin. Here, we report using N-tert-butylmaleimide (NtBM) alkylation followed by RP-HPLC and online mass spectrometry for rapid total and domain-specific free thiol characterization of IgG1. By increasing hydrophobicity, NtBM alkylation improves separation of free thiol variants from disulfide-linked main peak species. The unique mass shift by NtBM alkylation offers unambiguous characterization of free thiol variants by online mass spectrometry. Variant peaks separated by RP-HPLC were antibody molecules containing two NtBM-alkylated cysteines, corresponding to IgG1 containing two free thiols before alkylation. Further characterization of the collected fractions of variants by peptide mapping revealed that each variant contained unpaired cysteines located in specific IgG1 domains (CH1, CH3, VH and VL domains). Total molecular-level and domain-specific free thiol content measured by this method correlate well with orthogonal differential alkylation peptide mapping analysis, which measures free thiol level at individual cysteine residues. This method provides high throughput quantitation of total and domain-specific free thiol content in IgG1 molecules, facilitating rapid, comprehensive product and manufacturing process characterization.

Real-time detection of quality of Chinese materia medica: strategy of NIR model evaluation

The definition of critical quality attributes of Chinese materia medica ( CMM) was put forward based on the top-level design concept. Nowadays, coupled with the development of rapid analytical science, rapid assessment of critical quality attributes of CMM was firstly carried out, which was the secondary discipline branch of CMM. Taking near infrared (NIR) spectroscopy as an example, which is a rapid analytical technology in pharmaceutical process over the past decade, systematic review is the chemometric parameters in NIR model evaluation. According to the characteristics of complexity of CMM and trace components analysis, a multi-source information fusion strategy of NIR model was developed for assessment of critical quality attributes of CMM. The strategy has provided guideline for NIR reliable analysis in critical quality attributes of CMM.

Rapid assessment of critical quality attributes of Chinese materia medica (II): strategy of NIR assignment

The present paper firstly reviewed the research progress and main methods of NIR spectral assignment coupled with our research results. Principal component analysis was focused on characteristic signal extraction to reflect spectral differences. Partial least squares method was concerned with variable selection to discover characteristic absorption band. Two-dimensional correlation spectroscopy was mainly adopted for spectral assignment. Autocorrelation peaks were obtained from spectral changes, which were disturbed by external factors, such as concentration, temperature and pressure. Density functional theory was used to calculate energy from substance structure to establish the relationship between molecular energy and spectra change. Based on the above reviewed method, taking a NIR spectral assignment of chlorogenic acid as example, a reliable spectral assignment for critical quality attributes of Chinese materia medica (CMM) was established using deuterium technology and spectral variable selection. The result demonstrated the assignment consistency according to spectral features of different concentrations of chlorogenic acid and variable selection region of online NIR model in extract process. Although spectral assignment was initial using an active pharmaceutical ingredient, it is meaningful to look forward to the futurity of the complex components in CMM. Therefore, it provided methodology for NIR spectral assignment of critical quality attributes in CMM.