Monitoring of Visible Particles in Parenteral Products by Manual Visual Inspection-Reassessing Size Threshold and Other Particle Characteristics that Define Particle Visibility.

Visible particles are a critical quality attribute for parenteral products and must be monitored. A carefully designed, executed, and controlled drug product manufacturing process including a final 100 % visual inspection and appropriate end-product controls ensures that visible particles are consistently minimized and demonstrates that the injectable DP is practically free from visible particles. Visual inspection, albeit appearing as a simple analytical procedure, requires several technical and operational controls to ensure adequate performance. To gather new data on particle visibility and shed light on this decade-old challenge, a multi-company blinded visual inspection threshold study was conducted. A major goal of the study was visual assessment of several particle types of different sizes in small volume vials, as a challenging configuration for visual inspection, across 9 biopharmaceutical companies in order to determine the visibility limit. The study results provide key insights into limitations and challenges of visual inspection, namely, no universal visibility limit can be applied to all particle types as the detectability varies with particle type, number, and size. The study findings underscore the necessity of setting realistic expectations on size-based visibility limits in visual inspection, robust procedures for analyst training and qualification, and harmonization of guidelines globally.

Image Classification of Degraded Polysorbate, Protein and Silicone Oil Sub-Visible Particles Detected by Flow-Imaging Microscopy in Biopharmaceuticals Using a Convolutional Neural Network Model.

Degradation of polysorbates in biopharmaceutical formulations can induce the formation of sub-visible particles (SvPs) in the form of free-fatty acids (FFAs) and potentially protein aggregates. Flow-imaging microscopy (FIM) is one of the most common techniques for enumerating and characterizing the SvPs, allowing for collection of image data of the SvPs in the size ranges of two to several hundred micrometers. The vast amounts of data obtained with FIM do not allow for rapid manual characterization by an experienced analyst and can be ambiguous. In this work, we present the application of a custom convolutional neural network (CNN) for classification of SvP images of FFAs, proteinaceous particles and silicon oil droplets, by FIM. The network was then used to predict the composition of artificially pooled test samples of unknown and labeled data with varying compositions. Minor misclassifications were observed between the FFAs and proteinaceous particles, considered tolerable for application to pharmaceutical development. The network is considered to be suitable for fast and robust classification of the most common SvPs found during FIM analysis.

Proteomic Analysis of Adenovirus 5 by UHPLC-MS/MS: Development of a Robust and Reproducible Sample Preparation Workflow.

Adenoviruses (AdVs) have recently become widely used therapeutic vectors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine. AdVs are large, nonenveloped viruses with an icosahedral capsid formed from several proteins that encloses double-stranded DNA. These proteins are the main components and key players in initial stages of infection by the virus particles, so their heterogeneity and content must be evaluated to ensure product and process consistency. Peptide mapping can provide detailed information on these proteins, e.g., their amino acid sequences and post-translational modifications (PTMs), which is crucial for the development and optimization of the manufacturing processes. However, sample preparation remains the main bottleneck for successful proteomic analysis of the viral proteins (VPs) of AdVs due to their low concentrations and vast stoichiometric ranges. To address this problem, we have developed a fast and efficient protocol for preparing samples for proteomic analysis of VPs of AdV5 that requires no cleaning step prior to liquid chromatography-tandem mass spectrometry (LC-MS/MS). The approach enabled identification of 92% of amino acids in AdV5 VPs on average and quantification of 53 PTMs in a single LC-MS/MS experiment using trypsin protease. The data obtained demonstrate the method's potential utility for supporting the development of novel AdV-based gene therapy products (GTPs).

An Interlaboratory Comparison on the Characterization of a Sub-micrometer Polydisperse Particle Dispersion.

The measurement of polydisperse protein aggregates and particles in biotherapeutics remains a challenge, especially for particles with diameters of ≈ 1 µm and below (sub-micrometer). This paper describes an interlaboratory comparison with the goal of assessing the measurement variability for the characterization of a sub-micrometer polydisperse particle dispersion composed of five sub-populations of poly(methyl methacrylate) (PMMA) and silica beads. The study included 20 participating laboratories from industry, academia, and government, and a variety of state-of-the-art particle-counting instruments. The received datasets were organized by instrument class to enable comparison of intralaboratory and interlaboratory performance. The main findings included high variability between datasets from different laboratories, with coefficients of variation from 13 % to 189 %. Intralaboratory variability was, on average, 37 % of the interlaboratory variability for an instrument class and particle sub-population. Drop-offs at either end of the size range and poor agreement on maximum counts of particle sub-populations were noted. The mean distributions from an instrument class, however, showed the size-coverage range for that class. The study shows that a polydisperse sample can be used to assess performance capabilities of an instrument set-up (including hardware, software, and user settings) and provides guidance for the development of polydisperse reference materials.

A novel protocol for in-depth analysis of recombinant adeno-associated virus capsid proteins using UHPLC-MS/MS.

RATIONALE: In-depth characterization of the three capsid viral proteins (VPs 1, 2, and 3) of adeno-associated viruses (AAVs) is immediately needed to ensure the consistency in gene therapy products and processes. These proteins are typically present at very low concentrations in matrices containing high concentrations of excipients and salts. Thus, there is a need for convenient methods for sample preparation before proteomic analysis. The aim of this study was to meet this need by developing a fast, reliable approach for isolating VPs in a manner enabling their efficient digestion and in-depth characterization using liquid chromatography-mass spectrometry (LC-MS). METHODS: VPs from Anc80 were precipitated with different organic solvents, and the resulting precipitates were dissolved in either sodium deoxycholate (SDC) and N-dodecyl-beta-D-maltoside (DDM) or guanidine hydrochloride (Gu-HCl). The peptides obtained by the following enzymatic digestion by either trypsin or Asp-N were analyzed using LC-MS/MS. RESULTS: We found that precipitation with chloroform/methanol/water results in fast, efficient preparation of VP samples, allowing 100% and 99.2% amino acid sequence coverage of VP1 for trypsin and Asp-N digestion, respectively. This also allowed complete sequence confirmation of VP1, VP2, and VP3 of Anc80, as well as characterization of the amino acid sequences of the N- and C-terminal regions of each VP, together with their post-translational modifications (PTMs). CONCLUSIONS: The presented method enables fast, reliable, and relatively cheap sample preparation for identifying AAV serotypes and characterizing the heterogeneity of capsid viral proteins, including their PTMs.

4-Hydroxynonenal - A Toxic Leachable from Clinically Used Administration Materials.

INTRODUCTION: The migration of chemicals from processing materials into biopharmaceuticals can lead to various problems. Leachables from administration materials, with no possibility of further clearance, are of particular concern. Released chemicals can be toxic or react with formulation components, thereby impacting product safety. Therapeutic proteins, which are susceptible to chemical modifications, have highest risk to be affected. AIM: The aim of this study was to identify a previously unknown leachable compound from clinical administration sets, which was present above the applied generic safety threshold. METHODS: Extracts of commonly used clinical administration sets were analyzed using a recently established specific assay allowing the identification and quantification of the α,ß-unsaturated aldehyde 4-hydroxynonenal (HNE) in a drug product surrogate solution. HNE was quantified after derivatization with 2,4-dinitrophenylhydrazine (DNPH) and liquid extraction of the formed hydrazone by LC-MRM analysis. RESULTS: Potentially genotoxic HNE was a leachable compound from all tested administration sets, in parts exceeding safety thresholds for genotoxicants. The HNE-releasing polymer was identified as PVC. CONCLUSION: Clinical administration sets should be, like manufacturing materials and container closure systems, in the focus of routine leachables studies. Manufacturers of clinical administration sets should show responsibility to avoid the presence of safety concerning chemicals, like HNE.

Identification of an Oxidizing Leachable from a Clinical Syringe Rubber Stopper.

Leaching of toxic or reactive chemicals from polymeric materials can adversely affect the quality and safety of biopharmaceuticals. It was therefore the aim of the present study to analyze leachables from a disposable clinical administration syringe using a polysorbate-containing surrogate solution and to assess their chemical reactivity. Analytical methods did include (headspace) GC-MS, Fourier-transform-infrared spectroscopy, a ferrous oxidation-xylenol orange assay, and nuclear magnetic resonance analysis. In the syringe leachables solution, the carcinogenic 1,1,2,2-tetrachloroethane (TCE) was detected in concentrations above the ICH M7-derived analytical evaluation threshold. TCE was shown to be an oxidation product of dichloromethane used during sample preparation. Since TCE was only isolated from incubations with the contained rubber stopper, we hypothesized that a stopper-derived leachable acted as a reactive oxidant promoting this chemical reaction. Subsequently, the leachable was identified to be the polymerization initiator Luperox® 101. Combining different analytical approaches led to the structural elucidation of a chemical reactive oxidant, which has the potential to interact and alter drug products. We conclude that chemically reactive compounds, such as the newly identified rubber stopper leachable Luperox® 101, may be of concern and therefore should be routinely considered if a prolonged exposure of polymers with drug products can be anticipated.

4-Hydroxynonenal is An Oxidative Degradation Product of Polysorbate 80.

INTRODUCTION: Polysorbates (PS) are used in biopharmaceuticals to stabilize therapeutic proteins. Oxidative degradation of (poly)unsaturated fatty acids (PUFAs) contained in PS was shown to lead to α,ß-unsaturated carbonyls. AIM: The n-6-PUFA linoleic acid accounts for up to 18% of all FAs contained in multi-compendial grade PS80. 4-Hydroxynonenal (HNE) is highly reactive towards nucleophilic amino acids, potentially leading to covalent protein modifications. This study tests whether HNE may be a pharmaceutically relevant PS80 peroxidation product. METHODS: Since HNE was not directly detectable in the PS80 matrix by UV and MS, a new quantification method was established. After derivatization with 2,4-dinitrophenyl hydrazine (DNPH) and extraction of the formed hydrazone with a salting-out assisted liquid-liquid extraction, the HNE-DNPH adduct was analyzed by multiple reaction monitoring. Kinetic oxidation studies were conducted incubating PS80 in presence and absence of the antioxidant butylhydroxytoluene (BHT). RESULTS: HNE was confirmed as PS80 degradant in oxidatively stressed samples. BHT was shown to prevent its formation. CONCLUSION: HNE is a detectable PS80 degradation product raising questions about the potential impact on critical quality attributes of biopharmaceuticals formulated with PS80. Addition of BHT prevented HNE formation under oxidative stress. Consequently, BHT might be a valuable additive in PS used in biopharmaceuticals.

Measuring Lipolytic Activity to Support Process Improvements to Manage Lipase-Mediated Polysorbate Degradation.

PURPOSE: Polysorbates are critical stabilizers in biopharmaceutical protein formulations. However, they may degrade in drug substance (DS) or drug product (DP) during storage. Degradation catalyzed by lipases present in host cell proteins (HCPs) is one suspected root cause. The purpose of this study was to develop an assay to detect lipolytic activity in biopharmaceutical DS and DP formulations. METHODS: The assay is based on the hydrolysis of the lipase substrate 4-methylumbelliferyl oleate to yield the fluorescent product 4-methylumbelliferone. RESULTS: First, the assay components and their concentrations (buffer salts and pH, solvent and inhibitor Orlistat) were established and optimized using a model lipase (Porcine pancreatic lipase) and cell culture harvest fluid that exhibited lipolytic activity. The assay was then successfully applied and thereby qualified in protein formulations and at lipase concentrations possibly encountered in actual biopharmaceutical DS and DP formulations. CONCLUSION: The lipase assay can be used to detect lipolytic activity in intermediate and final DS, for example during process optimization in downstream purification, to better and specifically reduce the level, or deplete, lipases from HCPs. The assay is also suitable to be applied during root cause investigations related to polysorbate degradation in biopharmaceutical DP.

Characterization of Polymeric Syringes Used for Intravitreal Injection.

Intravitreal (IVT) injection is currently the state of the art for drug delivery to the back of the eye. Drug Products (DP) intended for IVT injections usually pose challenges such as a very low injection volume (e.g. 50 µL) and high injection forces. DPs in vials are typically transferred and injected using disposable polymer syringes, which can feature a silicone oil (SO) coating. In our syringe in-use study, we compared dead volume, total SO content and SO layer distributions of three IVT transfer injection syringes. We assessed multiple potential impact factors such as protein concentration, needle gauge, injection speed, surfactant type and the impact of the in-use hold time on sub-visible particle (SvP) formation and injection forces. Pronounced differences were observed between the syringes regarding SvP generation. Siliconized syringes showed higher SvP counts as compared to non-siliconized syringes. In some cases injection forces exceeded 20 N, which caused needles to burst off during injection. The syringes also showed relevant differences in total SO content and dead volume. In conclusion, specific consideration in the selection of an adequate transfer injection syringe are required. This includes extensive testing and characterization under intended and potential in-use conditions and the development of in-use handling procedures.

Tracking the physical stability of fluorescent-labeled mAbs under physiologic in vitro conditions in human serum and PBS.

In recent years, the stability of biotherapeutics in vivo has received increasing attention. Assessing the stability of biotherapeutics in serum may support the selection of adequate molecule candidates. In our study, we compared the physical stability of 8 different monoclonal antibodies (mAbs) in phosphate-buffered saline (PBS) and human serum. mAbs were Alexa Fluor 488-labeled and characterized with respect to fragmentation, aggregation, and proteinaceous particle formation. Samples were analyzed using size-exclusion chromatography, light obscuration, and flow imaging. In addition, novel methods such as flow cytometry and fluorescence microscopy were applied. mAbs were selected based on their hydrophobicity and isoelectric point. All mAbs studied were inherently less stable in human serum as compared to PBS. Particle size and particle counts increased in serum over time. Interestingly, certain mAbs showed significant levels of fragmentation in serum but not in PBS. We conclude that PBS cannot replicate the physical stability measured in serum. The stability of labeled mAbs in human serum did not correlate with their hydrophobicity and isoelectric point . Serum stability significantly differed amongst the tested mAbs.

Particle Analysis of Biotherapeutics in Human Serum Using Machine Learning.

In recent years, an increasing number of studies assessed the stability of biotherapeutics in biological fluids. Such studies aim to simulate the conditions encountered in the human body and investigate the in vivo stability under in vitro conditions. However, on account of complexity of biological fluids, standard pharmaceutical methods are poorly suited to assess the stability of biotherapeutics. In this study, a fluorescent-labeled therapeutic immunoglobulin G (IgG) was analyzed for proteinaceous particles after mixing with human serum and after incubation at 37°C for 5 days. Samples were analyzed using standard pharmaceutical methods (light obscuration and dynamic imaging). Moreover, we developed a fluorescence microscopy method allowing to semiquantitatively detect IgG particles in serum. Several hundred IgG particles were detected after exposure to serum. Moreover, particle counts and particle size increased in serum over time. The results showed that an IgG may form particles on mixing with serum and novel methods such as fluorescence microscopy are required to gain insight on the stability of biotherapeutics in biological fluids. Furthermore, we showed distinct advantages of machine learning over traditional threshold-based methods by analyzing microscopy images. Machine learning allowed simplifying particles in regards to count, size, and shape.

Correction to: In Vivo Stability of Therapeutic Proteins.

A manuscript version without peer-review revisions was mistakenly processed and published.

Stabilizing Polysorbate 20 and 80 Against Oxidative Degradation.

Polysorbates are stabilizers typically required in therapeutic protein formulations. On account of their chemical structure, polysorbates are prone to degradation, which can render a pharmaceutical product instable or incompliant. The purpose of this study was to investigate if the addition of butylhydroxytoluene (BHT) and butylhydroxyanisole (BHA) protects polysorbate 20 (PS20) and polysorbate 80 (PS80) against oxidative degradation. PS20 and PS80 solutions containing BHA, BHT-or as control without an antioxidant-were stressed by exposure to air at 40°C for 7 weeks. The following assays were performed: ferrous oxidation-xylenol orange assay, liquid chromatography coupled to UV and mass spectrometry (MS), pH measurement, liquid chromatography fluorescence micelle assay, headspace-gas chromatography coupled with MS. PS20 and PS80 solutions containing an antioxidant were found to be more stable, as demonstrated by lower peroxide levels, lower free fatty acid contents, stable pH, intact polysorbate micelle structure/composition, and less volatile degradants. PS20 and PS80 solutions containing BHT or BHA are more stable against oxidative degradation compared to nonstabilized solutions. It might be beneficial to formulate bulk polysorbate with the antioxidant(s) to ensure stabilization during all process steps.

In Vivo Stability of Therapeutic Proteins.

Significant efforts are made to characterize molecular liabilities and degradation of the drug substance (DS) and drug product (DP) during various product life-cycle stages. The in vivo fate of a therapeutic protein is usually only considered in terms of pharmacokinetics (PKs) and pharmacodynamics (PDs). However, the environment in the human body differs substantially from that of the matrix (formulation) of the DP and may impact on the stability of an injected therapeutic protein. Stabilizing excipients used in protein formulations are expected to undergo more rapid distribution and dissociation in vivo, compared to a protein as a highly charged macromolecule. Thus, in vivo stability may significantly differ from shelf-life stability. In vivo degradation of the therapeutic protein may alter efficacy and/or safety characteristics such as immunogenicity. Studying the stability of a therapeutic protein in the intended body compartment can de-risk drug development in early stages of development by improving the selection of better clinical lead molecules. This review assesses the considerations when aiming to evaluate the in vivo fate of a therapeutic protein by comparing the physiology of relevant human body compartments and assessing their potential implications on the stability of a therapeutic protein. Moreover, we discuss the limitations of current experimental approaches mimicking physiologic conditions, depending on the desired route of administration, such as intravenous (IV), subcutaneous (SC), intravitreal (IVT), or intrathecal (IT) administration(s). New models more closely mimicking the relevant physiologic environment and updated analytical methods are required to understand the in vivo fate of therapeutic proteins.

Method to Predict Glass Vial Fogging in Lyophilized Drug Products.

Glass fogging is a phenomenon occurring in lyophilized drug products and can be described as a thin product layer deposited on the inner surface of the glass container, in the area not covered by the lyo cake itself. It is often considered a cosmetic defect; however, the loss of container closure integrity is a potential consequence of the fogging's expansion to the vial neck region, making this a potential critical defect. Thus, a method for predicting the extent of vial fogging before the actual freeze-drying is of particular interest for the pharmaceutical industry. For that reason, we evaluated a simple method ("simulated fogging") applicable to drug product formulations in a specific container closure system. Two different vial types with different surface hydrophilicity were tested using 3 model protein formulations, comparing the simulated fogging test and the degree of fogging after actual lyophilization. The simulated fogging method could predict fogging and showed a correlation to fogging in lyophilized drug product glass vials. We observed that all formulations showed fogging in the hydrophilic vials. By contrast, hydrophobic vials prevented fogging, however, interestingly with remaining defects of so-called droplet formation. Other than extent of fogging, no additional differences of lyophilized cake properties or other product quality attributes were observed between products using the different glass vial types tested.

Variance Between Different Light Obscuration and Flow Imaging Microscopy Instruments and the Impact of Instrument Calibration.

Subvisible particles (SVPs) are an obligatory critical quality attribute of the product, and yet, they are found in all biopharmaceutical products intended for infusion or injection. Light obscuration (LO) is the primary pharmacopeial method used to quantify SVPs. However, the method may not be equally sensitive toward all particles that can possibly occur. Calibration of LO instruments is usually performed using polystyrene beads suspended in water. In this study, the dependence of the sizing accuracy of LO analysis was evaluated by using a calibration suspension of lower refractive index beads made of silica suspended in sucrose solution. It was demonstrated that the sizing accuracy was strongly dependent on the reference material's properties used for calibration. It was also demonstrated that flow imaging microscopy suffered from the same artifact, albeit to a smaller extent. We further tested different LO sensors and instruments. Interestingly, our results show that the sizing accuracy varied from instrument to instrument, strongly depending on the properties of the sensor. To summarize, sizing and counting accuracies were dependent on the material used for calibration and its optical properties as well as the calibration curve, the sensor, and the instrument supplier. Closer match of optical properties between calibration system and test system seems to improve the sensitivity of the measurement. The results of this study raise the following major practical implications: (1) LO and flow imaging microscopy are not truly orthogonal analytical methods, (2) while matching optimal properties of material used for calibration and test items increased sensitivity, this is of poor practical applicability given that analytes contain multiple particles, and (3) setting product-specific limits for SVPs require special considerations with regard to the data sets used.

Comparing Physical Container Closure Integrity Test Methods and Artificial Leak Methodologies.

The sterility of drug products intended for parenteral administration is a critical quality attribute (CQA) because it serves to ensure patient safety and is thus a key requirement by health authorities. While sterility testing is a probabilistic test, the assurance of sterility is a holistic concept including adequate design of manufacturing facilities, process performance, and product design. Container closure integrity testing (CCIT) is necessary to confirm the integrity of a container closure system (CCS), until the end of a product's shelf life. The new and revised United States Pharmacopeia (USP) General Chapter <1207> is a comprehensive guidance on CCI. Nevertheless, practical considerations including the choice of CCIT methods, the acceptance criteria, or the positive control samples (artificial leaks) must be addressed by the pharmaceutical manufacturer.This study is the first to provide a systematic comparison of four commonly used physical CCIT (pCCIT) methods [Helium (He) leak, vacuum decay, laser-based headspace analysis (HSA), and dye ingress] and four commonly used modes of creating artificial leaks (laser-drilled micro holes, copper wire introduced leaks, and two types of capillary leaks).The results from these experiments provide comprehensive data to allow a direct comparison of the capabilities of the individual methods. The results confirmed that the He leak detection method, which is considered the "gold-standard" for pCCIT regarding method sensitivity, indeed demonstrates the highest detection sensitivity (lowest detection limit). In comparison to the dye ingress method, HSA and vacuum decay also demonstrated better detection sensitivity in our study.Capillary leaks with orifice diameter (capillary leak with flow according to an ideal orifice) and micro holes yielded similar leak rates, whereas capillaries with nominal diameters yielded significantly lower leak rates. In conclusion, method sensitivity cannot be compared by means of a leak diameter, but requires the consideration of multiple impacting factors (e.g., path length, uniformity).LAY ABSTRACT: Sterility of drug products intended for parenteral administration is a critical quality attribute to ensure patient's safety and is thus a key requirement by health authorities. The absence of microbial contamination must be demonstrated by container closure integrity (CCI) of the container closure system (CCS). Currently, the revised United States Pharmacopeia (USP) General Chapter <1207> provides the most extensive guidance on how CCI should be assessed. Nevertheless, practical considerations on the choice of an appropriate CCIT method, artificial leaks or the choice of an acceptance criteria are lacking and must be addressed by the pharmaceutical manufacturer.This study provides a systematic comparison of four commonly used physical CCIT (pCCIT) methods [Helium (He) leak, vacuum decay, laser-based headspace analysis (HSA) and dye ingress] and four commonly used modes of creating artificial leaks (laser-drilled micro holes, copper wire introduced leaks, and two types of capillary leaks).

Considerations for the Use of Polysorbates in Biopharmaceuticals.

PURPOSE: Polysorbates are commonly added to protein formulations and serve an important function as stabilizers. This paper reviews recent literature detailing some of the issues seen with the use of polysorbate 80 and polysorbate 20 in protein formulations. Based on this knowledge, a development strategy is proposed that leads to a control strategy for polysorbates in protein formulations. METHODS: A consortium of Biopharmaceutical scientists working in the area of protein formulations, shared experiences with polysorbates as stabilizers in their formulations. RESULTS: Based on the authors experiences and recent published literature, a recommendation is put forth for a development strategy which will lead into the appropriate control strategy for these excipients. CONCLUSIONS: An appropriate control strategy may comprise one or more elements of raw material, in-process and manufacturing controls. Additionally, understanding the role, if any, polysorbates play during stability will require knowledge of the criticality of the excipient, based upon its impact on CQAs due to variations in concentration and degradation level.

Impact of non-ideal analyte behavior on the separation of protein aggregates by asymmetric flow field-flow fractionation.

Asymmetric flow field-flow fractionation is a valuable tool for the characterization of protein aggregates in biotechnology owing to its broad size range and unique separation principle. However, in practice asymmetric flow field-flow fractionation is non-trivial to use due to the major deviations from theory and the influence on separation by various factors that are not fully understood. Here, we report methods to assess the non-ideal effects that influence asymmetric flow field-flow fractionation separation and for the first time identify experimentally the main factors that impact it. Furthermore, we propose new approaches to minimize such non-ideal behavior, showing that by adjusting the mobile phase composition (pH and ionic strength) the resolution of asymmetric flow field-flow fractionation separation can be drastically improved. Additionally, we propose a best practice method for new proteins.