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1.
Eur J Pharm Biopharm ; 200: 114340, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38797222

ABSTRACT

Lentiviral vectors (LVVs) are used as a starting material to generate chimeric antigen receptor (CAR) T cells. Therefore, LVVs need to be carefully analyzed to ensure safety, quality, and potency of the final product. We evaluated orthogonal and complementary analytical techniques for their suitability to characterize particulate matter (impurities and LVVs) in pharmaceutical LVV materials at development stage derived from suspension and adherent manufacturing processes. Microfluidic resistive pulse sensing (MRPS) with additional manual data fitting enabled the assessment of mode diameters for particles in the expected LVV size range in material from adherent production. LVV material from a suspension process, however, contained substantial amounts of particulate impurities which blocked MRPS cartridges. Sedimentation-velocity analytical ultracentrifugation (SV-AUC) resolved the LVV peak in material from adherent production well, whereas in more polydisperse samples from suspension production, presence of particulate impurities masked a potential signal assignable to LVVs. In interferometric light microscopy (ILM) and nanoparticle tracking analysis (NTA), lower size detection limits close to âˆ¼ 70 nm resulted in an apparent peak in particle size distributions at the expected size for LVVs emphasizing the need to interpret these data with care. Interpretation of data from dynamic light scattering (DLS) was limited by insufficient size resolution and sample polydispersity. In conclusion, the analysis of LVV products manufactured at pharmaceutical scale with current state-of-the-art physical (nano)particle characterization techniques was challenging due to the presence of particulate impurities of heterogeneous size. Among the evaluated techniques, MRPS and SV-AUC were most promising yielding acceptable results at least for material from adherent production.


Subject(s)
Genetic Vectors , Lentivirus , Nanoparticles , Particle Size , Ultracentrifugation , Lentivirus/genetics , Nanoparticles/chemistry , Ultracentrifugation/methods , Humans , Receptors, Chimeric Antigen
2.
J Pharm Sci ; 113(4): 891-899, 2024 Apr.
Article in English | MEDLINE | ID: mdl-37926233

ABSTRACT

During biopharmaceutical development, particle monitoring and characterization are crucial. Notably, particles can be impurities considered as critical quality attribute, or active pharmaceutical ingredient (e.g., viral vectors) or drug delivery system (e.g., lipid nanoparticles) itself. Three-dimensional homodyne light detection (3D-HLD) is a novel technique that can characterize particles in the ∼0.2 µm to 2.0 µm size range. We evaluated 3D-HLD for the analysis of high concentration protein formulations (up to 200 mg/mL), where formulation refractive index and background noise became limiting factors with increasing protein concentration. Sample viscosity however did not impact 3D-HLD results, in contrast to comparative analyses with NTA and MRPS. We also applied 3D-HLD in high-throughput screenings at high protein concentration or of lipid nanoparticle and viral vector formulations, where impurities were analyzed in the presence of a small (<0.2 µm) particulate active pharmaceutical ingredient. 3D-HLD turned out to be in good agreement with or a good complement to other state-of-the-art particle characterization techniques, including BMI, MRPS, and DLS. The main application of 3D-HLD is high-throughput particle analysis at low sample volume. Follow-up investigation of the optimized particle sizing approach and of detection settings could further improve the understanding of the method and potentially increase ease of operation.


Subject(s)
Biological Products , Nanoparticles , Bulk Drugs , Proteins/analysis , Nanoparticles/analysis , High-Throughput Screening Assays , Particle Size
3.
Mol Ther Methods Clin Dev ; 31: 101162, 2023 Dec 14.
Article in English | MEDLINE | ID: mdl-38094202

ABSTRACT

Recombinant adeno-associated viruses (rAAVs) are attractive therapeutic viral vectors for gene delivery. To ensure the efficacy and safety of rAAV-based therapies, comprehensive characterization of the adeno-associated virus (AAV) capsids is essential. Mass photometry (MP) provides the advantage of short analysis times, low sample consumption, and high accuracy of molecular mass determination. Despite having just recently emerged, MP has already been used to characterize AAV genome content and quantify filled/empty capsid ratios. In this study, we explored three approaches for the application of MP to assess genome length in AAVs. In approach 1, genome length in intact AAVs was approximated with good precision (coefficient of variation [%CV] < 2.6%) and accuracy (±5%) by using a straightforward protein-based calibration. In approach 2, genome length was determined even more accurately (±1%, %CV < 2.9%) considering calibration with a set of additional AAVs of different genome length. In approach 3, genome length was assessed after genome release from the capsid by heating in 1% sodium dodecyl sulfate followed by surfactant removal with precision of %CV < 0.7% and accuracy of ±5%. In conclusion, the three developed MP-based approaches are fast, precise, and accurate methods for genome length determination in AAVs, differing in their calibration materials and efforts.

4.
J Pharm Sci ; 112(8): 2190-2202, 2023 08.
Article in English | MEDLINE | ID: mdl-37211315

ABSTRACT

Characterization of particulate impurities such as aggregates is necessary to develop safe and efficacious adeno-associated virus (AAV) drug products. Although aggregation of AAVs can reduce the bioavailability of the virus, only a limited number of studies focus on the analysis of aggregates. We explored three technologies for their capability to characterize AAV monomers and aggregates in the submicron (<1 µm) size range: (i) mass photometry (MP), (ii) asymmetric flow field flow fractionation coupled to a UV-detector (AF4-UV/Vis) and (iii) microfluidic resistive pulse sensing (MRPS). Although low counts for aggregates impeded a quantitative analysis, MP was affirmed as an accurate and rapid method for quantifying the genome content of empty/filled/double-filled capsids, consistent with sedimentation velocity analytical ultracentrifugation results. MRPS and AF4-UV/Vis enabled the detection and quantification of aggregate content. The developed AF4-UV/Vis method separated AAV monomers from smaller aggregates, thereby enabling a quantification of aggregates <200 nm. MRPS was experienced as a straightforward method to determine the particle concentration and size distribution between 250-2000 nm, provided that the samples do not block the microfluidic cartridge. Overall, within this study we explored the benefits and limitations of the complementary technologies for assessing aggregate content in AAV samples.


Subject(s)
Dependovirus , Fractionation, Field Flow , Dependovirus/genetics , Fractionation, Field Flow/methods , Virion/genetics , Particle Size
5.
J Pharm Sci ; 111(9): 2422-2434, 2022 09.
Article in English | MEDLINE | ID: mdl-35661758

ABSTRACT

This study investigates how backgrounded membrane imaging (BMI) can be used in combination with convolutional neural networks (CNNs) in order to quantitatively and qualitatively study subvisible particles in both protein biopharmaceuticals and samples containing synthetic model particles. BMI requires low sample volumes and avoids many technical complications associated with imaging particles in solution, e.g., air bubble interference, low refractive index contrast between solution and particles of interest, etc. Hence, BMI is an attractive technique for characterizing particles at various stages of drug product development. However, to date, the morphological information encoded in brightfield BMI images has scarcely been utilized. Here we show that CNN based methods can be useful in extracting morphological information from (label-free) brightfield BMI particle images. Images of particles from biopharmaceutical products and from laboratory prepared samples were analyzed with two types of CNN based approaches: traditional supervised classifiers and a recently proposed fingerprinting analysis method. We demonstrate that the CNN based methods are able to efficiently leverage BMI data to distinguish between particles comprised of different proteins, various fatty acids (representing polysorbate degradation related particles), and protein surrogates (NIST ETFE reference material) only based on BMI images. The utility of using the fingerprinting method for comparing morphological differences and similarities of particles formed in distinct drug products and/or laboratory prepared samples is further demonstrated and discussed through three case studies.


Subject(s)
Biological Products , Polysorbates , Drug Development , Machine Learning , Neural Networks, Computer , Proteins
6.
J Pharm Sci ; 111(4): 933-950, 2022 04.
Article in English | MEDLINE | ID: mdl-34919969

ABSTRACT

Particles in biopharmaceutical formulations remain a hot topic in drug product development. With new product classes emerging it is crucial to discriminate particulate active pharmaceutical ingredients from particulate impurities. Technical improvements, new analytical developments and emerging tools (e.g., machine learning tools) increase the amount of information generated for particles. For a proper interpretation and judgment of the generated data a thorough understanding of the measurement principle, suitable application fields and potential limitations and pitfalls is required. Our review provides a comprehensive overview of novel particle analysis techniques emerging in the last decade for particulate impurities in therapeutic protein formulations (protein-related, excipient-related and primary packaging material-related), as well as particulate biopharmaceutical formulations (virus particles, virus-like particles, lipid nanoparticles and cell-based medicinal products). In addition, we review the literature on applications, describe specific analytical approaches and illustrate advantages and drawbacks of currently available techniques for particulate biopharmaceutical formulations.


Subject(s)
Biological Products , Vaccines , Viruses , Drug Compounding , Liposomes , Nanoparticles , Particle Size
7.
Transl Vis Sci Technol ; 10(9): 21, 2021 08 02.
Article in English | MEDLINE | ID: mdl-34406342

ABSTRACT

Purpose: In a benchwork particle counting analytical evaluation, the number and type of particles in intravitreal injection formulations of three different agents against vascular endothelial growth factor were investigated. Methods: Commercially available ready-to-use aflibercept and brolucizumab glass syringes, vials containing bevacizumab (off-label use in ophthalmology), and repackaged ready-to-use plastic syringes containing bevacizumab were tested without filtration. Total visible, subvisible, and nanoparticles numbers and size distributions were quantified using light obscuration, flow imaging, resonant mass measurement (RMM), tunable resistive pulse sensing, and dynamic light scattering. Results: Repackaged bevacizumab showed overall low particle numbers, aflibercept showed high numbers of micrometer sized particles but low nanoparticle numbers, brolucizumab showed low to moderate numbers of micrometer sized particles but high nanoparticle numbers. RMM measurements identified particles in the nanometer range as either proteinaceous or silicon oil; the nature of the other particles was not further evaluated. Conclusions: Repackaged bevacizumab shows no inferior particle quality compared to ready-to-use products. It is relevant to study nanoparticle load of the products as the micrometer-sized particle numbers do not in all cases correlate to nanoparticle counts. Particularly for the high concentration product Beovu (brolucizumab), high nanoparticle numbers were found despite low numbers of micrometer sized particles. Silicone oil droplets did not account for high particle numbers as the measured numbers were low. Translational Relevance: Different side effects are registered in different frequencies with different intravitreal anti-VEGF-drugs and syringes, which are applied by injection by small 30G needles through the sclera directly to the intravitreal cavity. The study of nanoparticles and silicone oil droplets may be able to contribute to narrowing down the causes.


Subject(s)
Pharmaceutical Preparations , Syringes , Angiogenesis Inhibitors , Antibodies, Monoclonal, Humanized , Bevacizumab , Protein Aggregates , Receptors, Vascular Endothelial Growth Factor , Recombinant Fusion Proteins , Vascular Endothelial Growth Factor A
8.
J Pharm Sci ; 109(1): 264-276, 2020 01.
Article in English | MEDLINE | ID: mdl-30914272

ABSTRACT

Backgrounded membrane imaging (BMI) is a novel automated, 96-well plate-based microscopic approach for subvisible particle analysis. We scientifically evaluated BMI with respect to sizing and counting accuracy, working range, impact of refractive index, and interferences by silicone oil droplets, and compared BMI to state-of-the-art dynamic image analysis (DIA). Image quality was found to be comparable to current DIA methodologies. However, with the first versions of BMI image analysis software, an undersizing of polystyrene beads was observed. BMI linear concentration range was found to reach an upper limit (7.1 × 105 particles/mL) similar to DIA. In the absence of silicone oil droplets, BMI and DIA showed good agreement in total particle concentrations (particle diameter ≥2 µm) but differences in size distributions for particle sizes ≥4 µm. Analyses of prefilled syringe products and silicone oil emulsions demonstrated the removal of silicone oil in BMI sample processing. In contrast to DIA, particle counting by BMI remained unaffected by changes in refractive index. Overall, we demonstrated BMI to be a promising orthogonal method for subvisible particle characterization. Aspects like low required sample volume, high throughput, and ease of handling can make BMI a valuable alternative or complement to DIA in particular for formulation screening.


Subject(s)
Antibodies, Monoclonal/chemistry , Biopharmaceutics/methods , Drug Development/methods , Image Processing, Computer-Assisted/methods , Pharmaceutical Preparations/chemistry , Protein Aggregates , High-Throughput Screening Assays , Particle Size , Polysorbates/chemistry , Polystyrenes/chemistry , Silicone Oils/chemistry , Syringes
9.
Proc Natl Acad Sci U S A ; 111(2): E227-36, 2014 Jan 14.
Article in English | MEDLINE | ID: mdl-24379364

ABSTRACT

Myosin XXI is the only myosin expressed in Leishmania parasites. Although it is assumed that it performs a variety of motile functions, the motor's oligomerization states, cargo-binding, and motility are unknown. Here we show that binding of a single calmodulin causes the motor to adopt a monomeric state and to move actin filaments. In the absence of calmodulin, nonmotile dimers that cross-linked actin filaments were formed. Unexpectedly, structural analysis revealed that the dimerization domains include the calmodulin-binding neck region, essential for the generation of force and movement in myosins. Furthermore, monomeric myosin XXI bound to mixed liposomes, whereas the dimers did not. Lipid-binding sections overlapped with the dimerization domains, but also included a phox-homology domain in the converter region. We propose a mechanism of myosin regulation where dimerization, motility, and lipid binding are regulated by calmodulin. Although myosin-XXI dimers might act as nonmotile actin cross-linkers, the calmodulin-binding monomers might transport lipid cargo in the parasite.


Subject(s)
Calmodulin/metabolism , Leishmania/metabolism , Movement , Myosins/chemistry , Myosins/metabolism , Phospholipids/metabolism , Protein Conformation , Area Under Curve , Baculoviridae , Dimerization , Fluorescence , Fluorescence Resonance Energy Transfer , Microscopy, Electron, Transmission , Oligonucleotides/genetics , Plasmids
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