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Genetic engineering of fibroblasts to secrete cartilage matrix in osteoarthritis treatment
Journal: Bone Research
Author: Long Bai et al. (China)
Bone/cartilage organoid engineering is advancing tissue regeneration, disease modeling, and drug discovery. Challenges remain in replicating tissue complexity, standardizing protocols, and ensuring long-term stability. AI, bioprinting, and organ-on-chip technologies are driving improvements, promising breakthroughs in personalized medicine and regenerative therapies. Four iterative development stages—physiological mimicry, pathological modeling, structural replication, and clinical applications—highlight its transformative potential. Innovations like CRISPR and microfluidics further enhance organoid research, paving the way for dynamic, scalable models for drug testing and tissue engineering.
A point-of-research decision in synovial tissue engineering: Mesenchymal stromal cells, tissue derived fibroblast or CTGF-mediated mesenchymal-to-fibroblast transition
Journal: European Journal of Cell Biology
Author: Alexandra Damerau et al. (Germany)
Human knee-derived FLS exhibit stem cell-like traits, akin to MSCs, with CTGF stimulation inducing fibrotic differentiation. Using RGD-functionalized hydrogels, a synovial membrane model replicates cell organization, offering a controlled system for studying arthritis and advancing in vitro tissue engineering
Engraftment of self-renewing endometrial epithelial organoids promotes endometrial regeneration by differentiating into functional glands in rats
Journal: Frontiers in Bioengineering and Biotechnology
Author: Yana Ma et al. (China)
Endometrial epithelial organoids (EEOs) show superior potential to bone marrow mesenchymal stem cells (BMSCs) in regenerating injured endometrium and restoring fertility in rat models. EEOs integrate into tissues, secrete VEGF-A for neovascularization, and differentiate into functional glands, highlighting promise for future clinical applications despite current challenges in biomaterial use and scalability.
AI-Based solutions for current challenges in regenerative medicine
Journal: European Journal of Pharmacology
Author: Pedram Asadi Sarabi et al.(Iran)
Artificial Intelligence (AI) is revolutionizing regenerative medicine by enhancing gene therapy precision, optimizing stem cell therapy, and advancing tissue engineering. AI streamlines biomaterial design, predicts cell potency, and enables non-invasive cell analysis, accelerating innovations and improving therapeutic outcomes.
@ 2024 . All rights reserved
@ 2024 . All rights reserved
