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1.
J Pharm Sci ; 111(10): 2745-2757, 2022 10.
Article En | MEDLINE | ID: mdl-35839866

In this study, we conducted a collaborative study on the classification between silicone oil droplets and protein particles detected using the flow imaging (FI) method toward proposing a standardized classifier/model. We compared four approaches, including a classification filter composed of particle characteristic parameters, principal component analysis, decision tree, and convolutional neural network in the performance of the developed classifier/model. Finally, the points to be considered were summarized for measurement using the FI method, and for establishing the classifier/model using machine learning to differentiate silicone oil droplets and protein particles.


Silicone Oils , Silicones , Particle Size , Proteins
2.
J Pharm Sci ; 109(5): 1652-1661, 2020 05.
Article En | MEDLINE | ID: mdl-31927040

As reported in the previous commentary (Ishii-Watabe et al., J Pharm Sci 2017), the Japanese biopharmaceutical research group is promoting collaborative multilaboratory studies to evaluate and standardize new methodologies for biopharmaceutical characterization and quality control. We have conducted the studies and held 2 annual meetings in 2018 and 2019. At the 2018 meeting, Dr. Rukman DeSilva of the U.S. Food and Drug Administration and Dr. Srivalli Telikepalli of the National Institute of Standards and Technology participated as guest speakers. At the 2019 meeting, we invited Prof. John Carpenter of the University of Colorado, Prof. Gerhard Winter and Prof. Wolfgang Friess of Ludwig Maximilian University of Munich, and Dr. Tim Menzen of Coriolis Pharma Research, as guest commentators. In both meetings, the main research topic was strategies for the characterization and control of protein aggregates/subvisible particles in drug products. Specifically, the use of the light obscuration method for insoluble particulate matter testing with reduced injection volumes, and a comparison of analytical performance between flow imaging and light obscuration were discussed. Other topics addressed included host cell protein analysis, bioassay, and quality control strategies. In this commentary, the recent achievements of the research group, meeting discussions, and future perspectives are summarized.


Biological Products , Biological Assay , Biological Factors , Japan , Particle Size , Quality Control
3.
J Pharm Sci ; 108(2): 832-841, 2019 02.
Article En | MEDLINE | ID: mdl-30121316

The evaluation of subvisible particles, including protein aggregates, in therapeutic protein products has been of great interest for both pharmaceutical manufacturers and regulatory agencies. To date, the flow imaging (FI) method has emerged as a powerful tool instead of light obscuration (LO) due to the fact that (1) protein aggregates contain highly transparent particles and thereby escape detection by LO and (2) FI provides detailed morphological characteristics of subvisible particles. However, the FI method has not yet been standardized nor listed in any compendium. In an attempt to assess the applicability of the standardization of the FI method, we conducted a collaborative study using FI and LO instruments in a Japanese biopharmaceutical consortium. Three types of subvisible particle preparations were shared across 12 laboratories and analyzed for their sizes and counts. The results were compared between the methods (FI and LO), inter-laboratories, and inter-instruments (Micro Flow Imaging and FlowCam). We clarified the marked difference between the detectability of FI and LO when counting highly transparent protein aggregates in the preparations. Although FlowCam provided a relatively higher number of particles compared with MFI, consistent results were obtained using the instrument from the same manufacturer in all 3 samples.


Immunoglobulins, Intravenous/chemistry , Protein Aggregates , Japan , Light , Optical Imaging , Particle Size , Technology, Pharmaceutical
4.
Dev Biol ; 347(1): 147-53, 2010 Nov 01.
Article En | MEDLINE | ID: mdl-20816679

Cofactor for acrosome reaction-inducing substance (Co-ARIS) is a steroidal saponin from the starfish Asterias amurensis. Saponins exist in many plants and few animals as self-defensive chemicals, but Co-ARIS has been identified as a cofactor for inducing the acrosome reaction (AR). In A. amurensis, the AR is induced by the cooperative action of egg coat components (ARIS, Co-ARIS, and asterosap); however, the mechanism of action of Co-ARIS is obscure. In this study we elucidated the membrane dynamics involved in the action of Co-ARIS. We found that cholesterol specifically inhibited the Co-ARIS activity for AR induction and detected the binding of labeled compounds with sperm using radioisotope-labeled Co-ARIS. Co-ARIS treatment did not reduce the content of sperm sterols, however, the condition was changed and localization of GM1 ganglioside on the periacrosomal region disappeared. We then developed a caveola-breaking assay, a novel method to detect the effect of chemicals on microdomains of culture cell, and confirmed the disturbance of somatic cell caveolae in the presence of Co-ARIS. Finally, by atomic force microscopy observations and surface plasmon resonance measurements using an artificial membrane, we revealed that Co-ARIS colocalized with GM1 clusters on the microdomains. Through this study, we revealed a capacitation-like event for AR in starfish sperm.


Acrosome Reaction/drug effects , Asterias/chemistry , Asterias/drug effects , Cholesterol/pharmacology , Membrane Microdomains/chemistry , Membrane Microdomains/drug effects , Saponins/pharmacology , Animals , Binding Sites , Biological Assay , CHO Cells , Caveolae/drug effects , Caveolae/metabolism , Cholesterol/chemistry , Cricetinae , Cricetulus , G(M1) Ganglioside/metabolism , Kinetics , Male , Membrane Microdomains/metabolism , Membranes, Artificial , Molecular Conformation , Saponins/chemistry , Spermatozoa/drug effects , Spermatozoa/physiology , Tritium/metabolism
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