There is a growing industry and regulatory need to detect host cell protein (HCP) impurities in the production of protein biopharmaceuticals, as certain HCPs can impact product stability, safety, and efficacy, even at low levels. In some cases, regulatory agencies require the identification and the quantification of HCPs in drug products (DPs) for risk assessment, and this is an active and growing topic of conversation in the industry and amongst regulators. In this study, we developed a sensitive, robust, and reproducible workflow for HCP detection and quantification in a significantly shorter turnaround time than that previously reported using an Evosep ONE LC system coupled to an Orbitrap Fusion Lumos mass spectrometer. Because of its fast turnaround time, this HCP workflow can be integrated into process development for the high-throughput (60 samples analyzed per day) identification of HCPs. The ability to rapidly measure HCPs and follow their clearance throughout the downstream process can be used to pinpoint sources of HCP contamination, which can be used to optimize biopharmaceutical production to minimize HCP levels. Analysis of the NIST monoclonal antibody reference material using the rapid HCP profiling workflow detected the largest number of HCPs reported to date, underscoring an improvement in performance along with an increased throughput. The HCP workflow can be readily implemented and adapted for different purposes to guide biopharmaceutical process development and enable better risk assessment of HCPs in drug substances and DPs.
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http://dx.doi.org/10.1021/acs.jproteome.0c00252 | DOI Listing |
J Med Internet Res
January 2025
Knight Foundation of Computing & Information Sciences, Florida International University, Miami, FL, United States.
Background: Digital biomarkers are increasingly used in clinical decision support for various health conditions. Speech features as digital biomarkers can offer insights into underlying physiological processes due to the complexity of speech production. This process involves respiration, phonation, articulation, and resonance, all of which rely on specific motor systems for the preparation and execution of speech.
View Article and Find Full Text PDFJMIR AI
January 2025
Faculty of Social Science, Ruhr University Bochum, Bochum, Germany.
Background: Conversational agents (CAs) are finding increasing application in health and social care, not least due to their growing use in the home. Recent developments in artificial intelligence, machine learning, and natural language processing have enabled a variety of new uses for CAs. One type of CA that has received increasing attention recently is smart speakers.
View Article and Find Full Text PDFJMIR Public Health Surveill
January 2025
Faculty of Human-Environment Studies, Kyushu University, Fukuoka, Japan.
Background: The effects of physical activity (PA) across different domains and intensities on depressive symptoms remain inconclusive. Incorporating the community-built environment (CBE) into longitudinal analyses of PA's impact on depressive symptoms is crucial.
Objective: This study aims to examine the effects of PA at different intensities-low-intensity PA (eg, walking activities) and moderate-to-vigorous-intensity PA (eg, activities requiring substantial effort and causing faster breathing or shortness of breath)-across leisure-time and occupational domains on depressive symptom trajectories among middle-aged and older adults.
Chem Biodivers
January 2025
Department of Horticultural Science, Faculty of Agriculture, Jahrom University, Jahrom, Iran.
The approaches used to determine the medicinal properties of the plants are often destructive, labor-intensive, time-consuming, and expensive, making it impossible to analyze their quality analysis online. Performance of hyperspectral imaging (HSI) integrated with intelligent techniques to overcome these problems was investigated in this research. For this purpose, three classification methods-support vector machine, random forest (RF), and extreme gradient boosting-were studied for the classification of plants in three classes of medicinal, edible, and ornamental for the organs of leaf, stem, flower, and root.
View Article and Find Full Text PDFAnal Methods
January 2025
Istanbul University, Faculty of Pharmacy, Department of Analytical Chemistry, 34116, Istanbul, Turkey.
In this study, a new reversed phase high performance liquid chromatography method using two detectors was developed for the analysis of degradation and process impurities of ivabradine in pharmaceutical preparations. A PDA detector set to 285 nm wavelength and a QDa detector set to positive scan mode were used in the method. In the developed method, the separation process was carried out in a Zorbax phenyl column with a gradient application of a 0.
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