Development of a porcine decellularized extracellular matrix (DECM) bioink for 3D bioprinting of meniscus tissue engineering: formulation, characterisation and biological evaluation

Virtual and Physical Prototyping, Journal Year: 2024, Volume and Issue: 19(1)

Published: July 8, 2024

This study aims to present an easily scalable, cost-efficient process of dECM extraction from porcine meniscus, dedicated bioink preparation and 3D bioprinting. Due its cartilage like structure mechanical robustness, the meniscus is exceptionally demanding tissue for decellularisation ECM. Its processing poses a great difficulty renders methods previously developed soft tissues useless. A process, combining homogenisation, hydrolysis, supercritical CO2 (scCO2) lyophilisation, was meet this challenge. protocol allows retaining native compounds biocompatibility while offering good printability providing stimulatory environment cell proliferation differentiation towards meniscus-like phenotype. Also, economically ecologically friendly since it doesn't require use high amounts solvents, detergents or expensive enzymes (DNase). The has been meticulously studied, demonstrating substantial reduction in DNA content but still exceeding accepted thresholds. further explores dECM, no detrimental effects remnant on survival during extended vitro culture, indicating excellent biocompatibility. These findings challenge current definition effectiveness based solely content, proposing broader assessment biological effects.

Language: Английский

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An injectable antibacterial wet-adhesive for meniscal cartilage regeneration via immune homeostasis mediated by SMSC-derived extracellular vesicles

Composites Part B Engineering, Journal Year: 2024, Volume and Issue: 291, P. 111970 - 111970

Published: Nov. 12, 2024

Language: Английский

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Regional‐Specific Decellularized Meniscus Extracellular Matrix Elastic Nanofiber Aerogels Regulate Meniscal Regeneration and Vascularization

Advanced Healthcare Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 21, 2025

Abstract The meniscus is a heterogeneous structure with spatial distribution of cells and vessels. Promoting healing remains challenging, especially in its avascular inner region. ideal repair mode shall promote while maintaining local avascularity to prevent pathological changes from vascular invasion. Given the natural biochemical components native meniscus, decellularized extracellular matrix (dmECM) shows promise for repair. Compared homogeneous dmECM, regional‐specific dmECM (RS‐dmECM) appears offer greater potential constructing structures. Furthermore, there currently no study on effects RS‐dmECM vascularization. Thus, prepared found dmECM‐Outer induced stem fibrochondrogenic differentiation, dmECM‐Inner chondrogenic differentiation inhibited angiogenesis through suppressing peroxisome proliferators‐activated receptors signaling pathway. Subsequently, poly(lactic acid)/gelatin/dmECM elastic 3D nanofiber aerogels (PG‐dmECM) are fabricated meniscal area defects rabbit model. PG‐Outer promotes fibrocartilage regeneration without significant effect In contrast, PG‐Inner achieves cartilage inhibits Moreover, compressive stress can reach 117 kPa, comparable that area. This may have within

Language: Английский

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4D printing polymeric biomaterials for adaptive tissue regeneration

Bioactive Materials, Journal Year: 2025, Volume and Issue: 48, P. 370 - 399

Published: Feb. 22, 2025

Language: Английский

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Tissue-specific composite hydrogel-loaded BMSCs inhibit apoptosis and promote meniscal repair

Biomaterials Advances, Journal Year: 2025, Volume and Issue: 173, P. 214258 - 214258

Published: March 2, 2025

Language: Английский

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Automatic Meniscus Segmentation Using YOLO-Based Deep Learning Models with Ensemble Methods in Knee MRI Images

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 2752 - 2752

Published: March 4, 2025

The meniscus is a C-shaped connective tissue with cartilage-like structure in the knee joint. This study proposes an innovative method based on You Only Look Once (YOLO) series models and ensemble methods for segmentation from magnetic resonance imaging (MRI) images to improve performance evaluate generalization capability. In this study, five different were trained, masks created YOLO series. These are combined pixel-based voting, weighted multiple dynamic voting optimized by grid search. Tests conducted internal external sets various metrics. search performed best both test set (DSC: 0.8976 ± 0.0071, PPV: 0.8561 0.0121, Sensitivity: 0.9467 0.0077) 0.9004 0.0064, 0.8876 0.0134, 0.9200 0.0119). proposed offer high accuracy, reliability, capability segmentation.

Language: Английский

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Injectable decellularized Wharton's jelly hydrogel containing CD56+ umbilical cord mesenchymal stem cell-derived exosomes for meniscus tear healing and cartilage protection

Materials Today Bio, Journal Year: 2024, Volume and Issue: 29, P. 101258 - 101258

Published: Sept. 19, 2024

Language: Английский

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