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The immature state of engineered cartilage (IVEC) hinders its clinical translation, highlighting the need for optimized scaffold platforms and cultivation models. Our previous work demonstrated that Wharton's jelly (WJ) contains an extracellular matrix (ECM) whose composition closely resembles that of native cartilage and includes several bioactive factors that promote chondrogenic induction. Furthermore, earlier studies have shown that photo-crosslinkable hydrogels are ideal carrier scaffolds for cartilage tissue engineering and that bioreactors improve nutrient and waste exchange between scaffolds and the culture medium. Based on these findings, we employed a dynamic bioreactor in combination with a WJ-derived photo-crosslinkable hydrogel to enhance IVEC maturity. Our results indicate that the decellularized WJ matrix (DWJM) effectively retains its native chondrogenic ECM components and bioactive factors. The photo-crosslinkable ADWJM hydrogel-produced by modifying DWJM with methacrylate anhydride-demonstrated excellent gelation capacity as well as tunable rheological properties, swelling ratios and degradation rates across different DWJM concentrations. In addition, the ADWJM hydrogel exhibited outstanding biocompatibility by providing a favorable 3D microenvironment for chondrocyte survival and proliferation. Most importantly, the dynamic bioreactor markedly promoted IVEC maturation. Constructs cultured under dynamic conditions displayed increased thickness, wet weight and volume; enhanced mechanical strength; more typical lacunae structures; and uniform deposition of cartilage-specific ECM compared to constructs maintained in static conditions or within a static bioreactor. Moreover, in vivo subcutaneous implantation of IVEC in goats further validated these findings, as the implanted constructs exhibited cartilage components and mechanical properties closely resembling those of natural cartilage. These results offer a promising approach for enhancing IVEC maturity and support its future clinical translation.
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http://dx.doi.org/10.1093/rb/rbaf037 | DOI Listing |
ACS Synth Biol
September 2025
The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi 214122, P. R. China.
Human Bone Morphogenetic Protein-2 (hBMP-2) serves as a critical regulator in bone and cartilage formation; however, its industrial application is hindered by its inherent tendency to form inclusion bodies in prokaryotic expression systems. To address this issue, we established a recombinant hBMP-2 (rhBMP-2) expression system using the pCold II plasmid and the SHuffle T7 strain. We explored several strategies to enhance the solubility of rhBMP-2, including coexpression with molecular chaperones, vesicle-mediated secretory expression, fusion expression with synthetic intrinsically disordered proteins (SynIDPs), and fusion expression with small-molecule peptide tags.
View Article and Find Full Text PDFJ Extracell Vesicles
September 2025
Division of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Osteoarthritis (OA), the prevalent debilitating joint disorder, is accelerated by dysregulated intercellular crosstalk, yet the role of fibroblast-like synoviocyte (FLS)-derived extracellular vesicles and particles (EVPs) in disease progression remains to be elucidated. Here, integrative analysis of clinical specimens, animal models, and publicly available datasets revealed significant alterations in exosomal pathways within OA synovium. Proteomic profiling revealed distinct molecular signatures in EVPs derived from inflammatory and senescent FLSs, reflecting the pathophysiological status of their parent cells.
View Article and Find Full Text PDFOsteoarthr Cartil Open
December 2025
Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China.
Objective: We developed and validated an artificial intelligence pipeline that leverages diffusion models to enhance prognostic assessment of knee osteoarthritis (OA) by analyzing longitudinal changes in patella shape on lateral knee radiographs.
Method: In this retrospective study of 2,913 participants from the Multicenter Osteoarthritis Study, left-knee weight-bearing lateral radiographs obtained at baseline and 60 months were analyzed. Our pipeline commences with an automatic segmentation for patella shapes, followed by a diffusion model to predict patella shape trajectories over 60 months.
J Orthop Translat
November 2025
Key Laboratory of Tropical Translational Medicine of Ministry of Education & Key Laboratory of Brain Science Research and Transformation in Tropical Environment of Hainan Province, Hainan Provincial Stem Cell Research Institute, School of Basic Medicine and Life Sciences, Hainan Medical University,
Unlabelled: Osteoarthritis (OA) is characterized by the inability of stable and complex joint structures to function as they did, accompanied by inflammation, tissue changes, chronic pain, and neuropathic inflammation. In the past, the primary focus on the causes of joint dysfunction has been on mechanical stress leading to cartilage wear. Further researches emphasize the aging of cartilage and subchondral bone triggered cartilage lesion and osteophyte formation.
View Article and Find Full Text PDFAdv Healthc Mater
September 2025
State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, 430070, P. R. China.
Osteoarthritis (OA) is a common degenerative joint disease, and early diagnosis and effective treatment are essential for managing its progression. This study focuses on the development of a novel drug delivery system using aggregation-induced emission (AIE) probe for enhanced fluorescence imaging and targeted therapy in OA. TPE-S-BTD, an AIE probe, is synthesized and characterized for its photophysical properties, demonstrating significant aggregation-induced fluorescence enhancement.
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