Erythropoiesis stimulating agents (ESAs) are a group of therapeutic glycoproteins used to treat anaemia caused by chronic kidney disease or chemotherapy. A variety of ESA products are available in the European Union, including innovator, biosimilar and second-generation medicines. Glycosylation is a critical quality attribute of ESA products, as it has a crucial influence upon in vivo biological activity. In this study, a combination of chromatography and mass spectrometry analysis has been used to characterise and compare the glycosylation profiles of five ESA products; Eprex® (epoetin alfa), NeoRecormon® (epoetin beta), Binocrit® (epoetin alfa biosimilar), Silapo (epoetin alfa biosimilar) and Aranesp® (darbepoetin alfa). The methods utilised include mixed-mode anion-exchange/hydrophilic interaction chromatography (AEX/HILIC-MS) for N-glycan identification and quantitation, and HILIC-MS for O-glycan characterisation. The products exhibit notable differences in N- and O-glycosylation, including attributes such as sialic acid occupation, O-acetylation, N-acetyllactosamine extended antennae and sulphated/penta-sialylated N-glycans, which have the potential to cause divergence of therapeutic potencies. The study highlights the need for continued monitoring of ESA product glycosylation, ideally allied to pharmacological data, in order to ensure consistency and therapeutic equivalence between products and enhance our understanding of ESA structure-activity-relationships.
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http://dx.doi.org/10.1016/j.jpba.2019.113031 | DOI Listing |
Bioengineering (Basel)
November 2024
Department of Computer Engineering, Gachon University Sujeong-Gu, Seongnam-Si 13120, Gyeonggi-Do, Republic of Korea.
Medical imaging plays an essential role in modern healthcare, providing non-invasive tools for diagnosing and monitoring various medical conditions. However, the resolution limitations of imaging hardware often result in suboptimal images, which can hinder the precision of clinical decision-making. Single image super-resolution (SISR) techniques offer a solution by reconstructing high-resolution (HR) images from low-resolution (LR) counterparts, enhancing the visual quality of medical images.
View Article and Find Full Text PDFBehav Res Methods
December 2024
Faculty of Psychology, Southwest University, Chongqing, China.
The Q-matrix is one of the core components of cognitive diagnostic assessment, which is a matrix describing the relationship between items and the attributes being assessed. Numerous studies have shown that inaccuracies in defining the Q-matrix can degrade parameter estimation and model fitting results. Currently, Q-matrix validation often involves exhaustive search algorithms (ESA), which traverse through all possible -vectors and determine the optimal -vector for items based on indicators or criteria corresponding to different validation methods.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
Key Laboratory of Agricultural Product Processing and Quality Control of Specialty(Co-construction by Ministry and Province), School of Food Science and Technology, Shihezi University, Shihezi, Xinjiang 832003, China; Key Laboratory for Food Nutrition and Safety Control of Xinjiang Production and Construction Corps, School of Food Science and Technology, Shihezi University, Shihezi, Xinjiang 832003, China. Electronic address:
Nanocellulose stands out in numerous applications due to its excellent properties. Yet, achieving its preparation in a cost-effective, efficient, and environmentally benign manner remains challenging. This study introduces a green synthesis approach by employing a non-polluting solid acid, combined with a cellulase enzyme, for nanocellulose production.
View Article and Find Full Text PDFPeerJ
December 2024
OpenGeoHub Foundation, Doorwerth, Netherlands.
Processing large collections of earth observation (EO) time-series, often petabyte-sized, such as NASA's Landsat and ESA's Sentinel missions, can be computationally prohibitive and costly. Despite their name, even the Analysis Ready Data (ARD) versions of such collections can rarely be used as direct input for modeling because of cloud presence and/or prohibitive storage size. Existing solutions for readily using these data are not openly available, are poor in performance, or lack flexibility.
View Article and Find Full Text PDFNPJ Microgravity
December 2024
Institute of Aerospace Medicine, Department of Sleep and Human Factors Research, German Aerospace Center (DLR), Cologne, Germany.
Astronauts in space often experience sleep loss. In the AGBRESA (Artificial Gravity Bed Rest) study, we examined 24 participants (mean age ± SD, 33 ± 9 years) during two months of 6 head-down tilt (HDT) bed rest, which is a well-established spaceflight analogue. Polysomnography was recorded during baseline (BDC-9), HDT (nights 1, 8, 30 and 58) and recovery (R, nights 1 and 12).
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