Osteoarthritis (OA) is a prevalent degenerative joint disease characterized by the progressive breakdown of joint cartilage and underlying bone, affecting millions globally. Traditional research models, including in-vitro cell cultures and in-vivo animal studies, have provided valuable insights but exhibit limitations in replicating the complex human joint environment. This review article focuses on the transformative role of Organ-on-Chip (OoC) and Joint-on-Chip (JoC) technologies in OA research. OoC and JoC models, rooted in microfluidics, integrate cellular biology with engineered environments to create dynamic, physiologically relevant models that closely resemble human tissues and organs. These models enable an accurate depiction of pathogenesis, offering deeper insights into molecular and cellular mechanisms driving the disease. This review explores the evolution of OoC technology in OA research, highlighting its contributions to disease modeling, therapeutic discovery, and personalized medicine. It delves into the design concepts, fabrication techniques, and integration strategies of joint components in JoC models, emphasizing their role in accurately mimicking joint tissues and facilitating the study of intricate cellular interactions. The article also discusses the significant advancements made in OA research through published JoC models and projects the future scope of these technologies, including their potential in personalized medicine and high-throughput drug screening. The evolution of JoC models signifies a paradigm shift in OA research, offering a promising path toward more effective and targeted therapeutic strategies.
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http://dx.doi.org/10.1016/j.jcot.2024.102422 | DOI Listing |
bioRxiv
January 2025
Department of Chemistry, 409 McCormick Road, University of Virginia, Charlottesville, VA 22904.
Antibody production is central to protection against new pathogens and cancers, as well as to certain forms of autoimmunity. Antibodies often originate in the lymph node (LN), specifically at the extrafollicular border of B cell follicles, where T and B lymphocytes physically interact to drive B cell maturation into antibody-secreting plasmablasts. In vitro models of this process are sorely needed to predict aspects of the human immune response.
View Article and Find Full Text PDFJ Cogn
January 2025
Neuro-Cognitive Psychology, Department of Psychology, Bielefeld University, Bielefeld, Germany.
Human survival requires prompt perception and action to address relevant events in the environment. For this, the brain has evolved a system that uses warning stimuli to elicit phasic alertness, a state readying the brain for upcoming perception and action. Although a wealth of empirical evidence revealed how phasic alertness improves a wide range of perceptual and cognitive processing, it is still unclear by what cognitive mechanisms this is achieved.
View Article and Find Full Text PDFJ Cogn
January 2025
Instituto Pluridisciplinar, Universidad Complutense de Madrid, Madrid, Spain.
The dissociation between conscious and unconscious perception is one of the most relevant issues in the study of human cognition. While there is evidence suggesting that some stimuli might be unconsciously processed up to its meaning (e.g.
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January 2025
Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
People's understanding of topics and concepts such as risk, sustainability, and intelligence can be important for psychological researchers and policymakers alike. One underexplored way of accessing this information is to use free associations to map people's mental representations. In this tutorial, we describe how free association responses can be collected, processed, mapped, and compared across groups using the R package .
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January 2025
Department of Psychology, Western University, London, Canada.
Word norming datasets have become an important resource for psycholinguistic research, and they are based on the underlying assumption that individual differences are inconsequential to the measurement of semantic dimensions. In this pre-registered study we tested this assumption by examining whether individual differences in motor imagery are related to variance in semantic ratings. We collected graspability ratings (i.
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