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Purpose Of Review: One aim in bone tissue engineering is to develop human cell-based, 3D in vitro bone models to study bone physiology and pathology. Due to the heterogeneity of cells among patients, patient's own cells are needed to be obtained, ideally, from one single cell source. This review attempts to identify the appropriate cell sources for development of such models.
Recent Findings: Bone marrow and peripheral blood are considered as suitable sources for extraction of osteoblast/osteocyte and osteoclast progenitor cells. Recent studies on these cell sources have shown no significant differences between isolated progenitor cells. However, various parameters such as medium composition affect the cell's proliferation and differentiation potential which could make the peripheral blood-derived stem cells superior to the ones from bone marrow. Peripheral blood can be considered a suitable source for osteoblast/osteocyte and osteoclast progenitor cells, being less invasive for the patient. However, more investigations are needed focusing on extraction and differentiation of both cell types from the same donor sample of peripheral blood.
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http://dx.doi.org/10.1007/s11914-020-00648-6 | DOI Listing |
ISA Trans
March 2025
School of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad, Pakistan. Electronic address:
Glucose acts as a fundamental energy source for cells and plays a pivotal role in various physiological processes, including metabolism, signaling, and cellular control. Maintaining precise regulation of blood glucose levels is crucial for overall health and equilibrium. To achieve this balance, insulin is administered either orally or through an artificial pancreas (AP) during sleep, utilizing control algorithms based on mathematical models to regulate blood glucose concentration (BGC).
View Article and Find Full Text PDFInt J Biol Macromol
March 2025
Laboratory of Pharmaceutical, Chemical and Pharmacological Drug Development LR12ES09, Faculty of Pharmacy, Université de Monastir, Monastir, Tunisia.
Fucoidans, a complex water-soluble sulfated polysaccharide is regarded as a valuable source of new drug development. The aim of this study was to characterize the chemical properties of fucoidans isolated from two brown algae Dyctyopteris membranaceae and Padina pavonica and to evaluate their anti-inflammatory, gastroprotective, antioxidant and immunomodulatory activities. The characterization of fucoidans was investigated with colorimetric techniques and Fourier transform infrared spectroscopy.
View Article and Find Full Text PDFInt J Biol Macromol
March 2025
Department of Chemical Engineering, Indian Institute of Technology Guwahati, Assam 781039, India; Centre for Sustainable Polymers, Indian Institute of Technology Guwahati, Assam 781039, India. Electronic address:
This study focuses on developing and characterizing active and sustainable packaging films made from chitosan (CS), enriched with a novel bioactive extract sourced from water caltrop (Trapa bispinosa Roxb.) pericarp (WCPE). In this study, chitosan (1 % w/v) based biocomposite films were produced using varying concentrations of bioactive extracts (0,5,10,15 and 20 % w/w of CS) from water caltrop pericarp, obtained through ultrasound-assisted extraction.
View Article and Find Full Text PDFMol Cell Probes
March 2025
Human and Neurobiology, Department of Chemistry and Biology, University of Siegen, Siegen, Germany. Electronic address:
Huntington's disease (HD) arises from the abnormal expansion of a CAG repeat in the HTT gene. The mutant CAG repeat triggers aberrant RNA-protein interactions and translates into toxic aggregate-prone polyglutamine protein. These aberrant RNA-protein ineractions also seed the formation of cytoplasmic liquid-like granules, such as stress granules.
View Article and Find Full Text PDFExp Eye Res
March 2025
Department of Ophthalmology, University of Washington, Seattle, Washington; Roger and Angie Karalis Johnson Retina Center, Seattle, Washington. Electronic address:
Artificial intelligence (AI) holds great promise for analyzing complex data to advance patient care and disease research. For example, AI interpretation of retinal imaging may enable the development of noninvasive retinal biomarkers of systemic disease. One potential limitation, however, is government regulation regarding retinal imaging as biometric data, which has been recently under debate in the United States.
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