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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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Abstract: 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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

A number of new techniques for subvisible particle characterization in biotechnological products have emerged in the last decade. Although the pharmaceutical community is actively using them, the current knowledge about the analytical performance of some of these tools is still inadequate to support their routine use in the development of biopharmaceuticals (especially in the case of submicron methods). With the aim of increasing this knowledge and our understanding of the most prominent techniques for subvisible particle characterization, this study reports the results of a systematic evaluation of their accuracy. Our results showed a marked overcounting effect especially for low concentrated samples and particles fragile in nature. Furthermore, we established the relative sample size distribution as the most important contributor to an instrument’s performance in accuracy counting. The smaller the representation of a particle size within a solution, the more difficulty the instruments had in providing an accurate count. These findings correlate with a recent study examining the principal factors influencing the precision of the subvisible particle measurements. A more thorough understanding of the capabilities of the different particle characterization methods provided here will help guide the application of these methods and the interpretation of results in subvisible particle characterization studies. [ABSTRACT FROM AUTHOR]

The success of clinical and commercial therapeutic proteins is rapidly increasing, but their potential immunogenicity is an ongoing concern. Most of the studies that have been conducted over the past few years to examine the importance of various product-related attributes (in particular several types of aggregates and particles) and treatment regimen (such as dose, dosing schedule, and route of administration) in the development of unwanted immune responses have utilized one of a variety of mouse models. In this review, we discuss the utility and drawbacks of different mouse models that have been used for this purpose. Moreover, we summarize the lessons these models have taught us and some of the challenges they present. Finally, we provide recommendations for future research utilizing mouse models to improve our understanding of critical factors that may contribute to protein immunogenicity. [ABSTRACT FROM AUTHOR]

One of the analytical tools for characterization of subvisible particles, which gained popularity over the last years because of its unique capabilities, is the resonance mass measurement technique. However, a challenge that this technique presents is the need to know the exact density of the measured particles in order to obtain accurate size calculations. The density of proteinaceous subvisible particles has not been measured experimentally yet and to date researchers have been using estimated density values. In this paper, we report for a first-time experimental measurements of the density of protein particles (0.2-5 μm in size) using particles created by stressing three different proteins using four different types of stress conditions. Interestingly, the particle density values that were measured varied between 1.28 and 1.33 g/cm3 and were lower than previous estimates. Furthermore, it was found that although the density of proteinaceous particles was affected to a very low degree by the stress conditions used to generate them, there is relatively larger difference between particles originating from different classes of proteins (e.g., monoclonal antibody vs. bovine serum albumin). [ABSTRACT FROM AUTHOR]

Measurement and characterization of subvisible particles (defined here as those ranging in size from 2 to 100 μm), including proteinaceous and nonproteinaceous particles, is an important part of every stage of protein therapeutic development. The tools used and the ways in which the information generated is applied depends on the particular product development stage, the amount of material, and the time available for the analysis. In order to compare results across laboratories and products, it is important to harmonize nomenclature, experimental protocols, data analysis, and interpretation. In this manuscript on perspectives on subvisible particles in protein therapeutic drug products, we focus on the tools available for detection, characterization, and quantification of these species and the strategy around their application. © 2015 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 104:1899-1908, 2015 [ABSTRACT FROM AUTHOR]

Protein aggregation, which takes place both in vivo and in vitro, is an important degradative pathway for all proteins. Protein aggregates have distinct physicochemical and biological properties that are important to study and characterize from the perspective of both fundamental and applied sciences. The size of protein aggregates varies across a huge range, spanning several orders of magnitude. Currently, protein aggregates larger than hundreds of nanometers in diameter are impossible to physically fractionate. Here, we present a new method to fractionate microscopic proteinaceous particles using preparative fluorescence-activated cell sorting technology. © 2013 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 102:2128-2135, 2013 [ABSTRACT FROM AUTHOR]