1
|
Xu Y, Huang J, Mai Y, Zhang Z, Li S, Lin H, Wei F, Chen Y. CBD-conjugated BMP-inhibiting exosomes on collagen scaffold dual-target Achilles tendon repair: Synergistic regeneration and heterotopic ossification prevention. Mater Today Bio 2025; 32:101790. [PMID: 40343165 PMCID: PMC12059345 DOI: 10.1016/j.mtbio.2025.101790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2025] [Revised: 04/21/2025] [Accepted: 04/22/2025] [Indexed: 05/11/2025] Open
Abstract
Tendon injuries in the aging population are often complicated by heterotopic ossification (HO), hindering functional recovery. Exosomes from tendon stem/progenitor cells (TSPCs) promote regeneration but may also induce osteogenesis, contributing to HO. Preconditioning with the BMP inhibitor LDN193189 and modification with collagen-binding peptides (CBD) can enhance the tenogenic potential of exosomes while mitigating osteogenic effects. We evaluated the efficacy of a 3D-printed scaffold loaded with LDN-preconditioned, CBD-modified exosomes (3D-CBD@LDN/Exos) derived from CD26+ TSPCs in promoting Achilles tendon repair and preventing HO in aged Sprague-Dawley rats. CD26+ TSPCs were isolated from rat tendons, and exosomes were collected after LDN treatment and subsequently modified with CBD. A scaffold composed of PLGA and collagen I was fabricated via 3D printing and loaded with the exosomes. Rats (20 months old) with 6-mm Achilles tendon defects were randomly assigned to Control, 3D-Exos, 3D-LDN/Exos, or 3D-CBD@LDN/Exos groups, and tendon regeneration was evaluated at 4 and 12 weeks using histology, ECM quantification, micro-CT, and biomechanical testing. At 12 weeks, the 3D-CBD@LDN/Exos group exhibited near-normal histology, enhanced collagen and sGAG deposition, biomechanical properties comparable to native tendons, and significantly reduced HO, indicating that this dual-targeted strategy holds promise for tendon repair.
Collapse
Affiliation(s)
- Yan Xu
- Department of Orthopaedics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory of Bone Tissue Repair and Translational Research, China
| | - Jiaqiang Huang
- The First District of Department of Orthopedics, Xiangtan Central Hospital, Xiangtan, China
| | - Yingjie Mai
- Department of Orthopaedics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory of Bone Tissue Repair and Translational Research, China
| | - Zhiyuan Zhang
- Department of Orthopaedics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory of Bone Tissue Repair and Translational Research, China
| | - Siqi Li
- School of Public Health, Chongqing Medical University, Chongqing, China
| | - Haofeng Lin
- Department of Orthopaedics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory of Bone Tissue Repair and Translational Research, China
| | - Fuxin Wei
- Department of Orthopaedics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory of Bone Tissue Repair and Translational Research, China
| | - Yang Chen
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing University, Chongqing, China
- Department of Thoracic Surgery, Chongqing University Cancer Hospital, Chongqing University, Chongqing, China
| |
Collapse
|
2
|
Aykora D, Taşçı B, Şahin MZ, Tekeoğlu I, Uzun M, Sarafian V, Docheva D. Tendon regeneration deserves better: focused review on In vivo models, artificial intelligence and 3D bioprinting approaches. Front Bioeng Biotechnol 2025; 13:1580490. [PMID: 40352349 PMCID: PMC12062838 DOI: 10.3389/fbioe.2025.1580490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2025] [Accepted: 04/07/2025] [Indexed: 05/14/2025] Open
Abstract
Tendon regeneration has been one of the most challenging issues in orthopedics. Despite various surgical techniques and rehabilitation methods, tendon tears or ruptures cannot wholly regenerate and gain the load-bearing capacity the tendon tissue had before the injury. The enhancement of tendon regeneration mostly requires grafting or an artificial tendon-like tissue to replace the damaged tendon. Tendon tissue engineering offers promising regenerative effects with numerous techniques in the additive manufacturing context. 3D bioprinting is a widely used additive manufacturing method to produce tendon-like artificial tissues based on biocompatible substitutes. There are multiple techniques and bio-inks for fabricating innovative scaffolds for tendon applications. Nevertheless, there are still many drawbacks to overcome for the successful regeneration of injured tendon tissue. The most important target is to catch the highest similarity to the tissue requirements such as anisotropy, porosity, viscoelasticity, mechanical strength, and cell-compatible constructs. To achieve the best-designed artificial tendon-like structure, novel AI-based systems in the field of 3D bioprinting may unveil excellent final products to re-establish tendon integrity and functionality. AI-driven optimization can enhance bio-ink selection, scaffold architecture, and printing parameters, ensuring better alignment with the biomechanical properties of native tendons. Furthermore, AI algorithms facilitate real-time process monitoring and adaptive adjustments, improving reproducibility and precision in scaffold fabrication. Thus, in vitro biocompatibility and in vivo application-based experimental processes will make it possible to accelerate tendon healing and reach the required mechanical strength. Integrating AI-based predictive modeling can further refine these experimental processes to evaluate scaffold performance, cell viability, and mechanical durability, ultimately improving translation into clinical applications. Here in this review, 3D bioprinting approaches and AI-based technology incorporation were given in addition to in vivo models.
Collapse
Affiliation(s)
- Damla Aykora
- Health Services Vocational School, Department of Medical Services and Techniques, First and Emergency Aid, Bitlis Eren University, Bitlis, Türkiye
| | - Burak Taşçı
- Vocational School of Technical Sciences, Fırat University, Elazığ, Türkiye
| | - Muhammed Zahid Şahin
- Faculty of Medicine, Department of Physical Medicine and Rehabilitation, Sakarya University Training and Research Hospital, Sakarya University, Sakarya, Türkiye
| | - Ibrahim Tekeoğlu
- Faculty of Medicine, Department of Internal Medicine, Department of Physical Medicine and Rehabilitation, Kütahya Health Sciences University, Kütahya, Türkiye
| | - Metehan Uzun
- Health Services Vocational School, Department of Medical Services and Techniques, First and Emergency Aid, Bitlis Eren University, Bitlis, Türkiye
| | - Victoria Sarafian
- Department of Medical Biology, Medical University-Plovdiv, Plovdiv, Bulgaria
- Department of Molecular and Regenerative Medicine, Research Institute at Medical University-Plovdiv, Plovdiv, Bulgaria
| | - Denitsa Docheva
- Department of Musculoskeletal Tissue Regeneration, Orthopaedic Hospital König-Ludwig-Haus, Julius-Maximilians-University Würzburg, Wuerzburg, Germany
| |
Collapse
|
3
|
Aykora D, Taşçı B, Şahin MZ, Tekeoğlu I, Uzun M, Sarafian V, Docheva D. Tendon regeneration deserves better: focused review on In vivo models, artificial intelligence and 3D bioprinting approaches. Front Bioeng Biotechnol 2025; 13. [DOI: doi.org/10.3389/fbioe.2025.1580490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2025] Open
Abstract
Tendon regeneration has been one of the most challenging issues in orthopedics. Despite various surgical techniques and rehabilitation methods, tendon tears or ruptures cannot wholly regenerate and gain the load-bearing capacity the tendon tissue had before the injury. The enhancement of tendon regeneration mostly requires grafting or an artificial tendon-like tissue to replace the damaged tendon. Tendon tissue engineering offers promising regenerative effects with numerous techniques in the additive manufacturing context. 3D bioprinting is a widely used additive manufacturing method to produce tendon-like artificial tissues based on biocompatible substitutes. There are multiple techniques and bio-inks for fabricating innovative scaffolds for tendon applications. Nevertheless, there are still many drawbacks to overcome for the successful regeneration of injured tendon tissue. The most important target is to catch the highest similarity to the tissue requirements such as anisotropy, porosity, viscoelasticity, mechanical strength, and cell-compatible constructs. To achieve the best-designed artificial tendon-like structure, novel AI-based systems in the field of 3D bioprinting may unveil excellent final products to re-establish tendon integrity and functionality. AI-driven optimization can enhance bio-ink selection, scaffold architecture, and printing parameters, ensuring better alignment with the biomechanical properties of native tendons. Furthermore, AI algorithms facilitate real-time process monitoring and adaptive adjustments, improving reproducibility and precision in scaffold fabrication. Thus, in vitro biocompatibility and in vivo application-based experimental processes will make it possible to accelerate tendon healing and reach the required mechanical strength. Integrating AI-based predictive modeling can further refine these experimental processes to evaluate scaffold performance, cell viability, and mechanical durability, ultimately improving translation into clinical applications. Here in this review, 3D bioprinting approaches and AI-based technology incorporation were given in addition to in vivo models.
Collapse
|
4
|
Wang X, Wang H, Li Y, Yang J, Huang X, Li F, Zhang Y. Bioinspired Paste-Extrusion Printed Microlattices with Natural Bone-Like Porosity and Performance. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2025; 21:e2501060. [PMID: 40059599 DOI: 10.1002/smll.202501060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2025] [Revised: 02/27/2025] [Indexed: 04/29/2025]
Abstract
The structure feature determines its performance. In the field of biological implants, microlattices are commonly used as building blocks for light-weight and adaptive purposes, which however show limitations in biological and mechanical properties as compared with natural bones. Inspired by the efficient mass transfer and high fault tolerance of biological neural networks derived from the hierarchical structure and functional gradient, a bioinspired paste-extrusion printed microlattice (BPPM) structure is developed and its tunable properties are demonstrated. The mechanical properties of non-crossing microlattice structures are first verified outweigh crossing one under equivalent compressive stress. Then, by introducing gradient components and a paste-extrusion 3D printing process, a BPPM structure with a hierarchical porosity, and gradient composites is fabricated. As a result, the BPPM shows the eliminated deformation along the gradient direction, a fine surface roughness (Sa 3.65-15.67 µm), a wide range of porosity (56-78%) and compressive strength (3.44-22.3 MPa), a favorable permeability (3.02 × 103-3.22 × 103D), and good biocompatibility and promoted cell proliferation. This work not only demonstrates the properties of BPPM in a range of natural bones but also provides a robust way to realize it.
Collapse
Affiliation(s)
- Xianwen Wang
- Shanghai Key Laboratory for High Temperature Materials and Precision Forming, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Haolei Wang
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200241, China
| | - Yetao Li
- Shanghai Key Laboratory for High Temperature Materials and Precision Forming, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jie Yang
- School of Mechanical and Automotive Engineering, Shanghai University of Engineering and Science, Shanghai, 201620, China
| | - Xiaolu Huang
- Key Laboratory for Thin Film and Microfabrication of Ministry of Education, Research Institute of Micro/Nano Science and Technology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Fei Li
- Shanghai Key Laboratory for High Temperature Materials and Precision Forming, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yaozhong Zhang
- Shanghai Key Laboratory for High Temperature Materials and Precision Forming, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| |
Collapse
|
5
|
Xu T, Rao J, Mo Y, Lam ACH, Yang Y, Wong SWF, Wong KH, Zhao X. 3D printing in musculoskeletal interface engineering: Current progress and future directions. Adv Drug Deliv Rev 2025; 219:115552. [PMID: 40032068 DOI: 10.1016/j.addr.2025.115552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2024] [Revised: 02/17/2025] [Accepted: 02/28/2025] [Indexed: 03/05/2025]
Abstract
The musculoskeletal system relies on critical tissue interfaces for its function; however, these interfaces are often compromised by injuries and diseases. Restoration of these interfaces is complex by nature which renders traditional treatments inadequate. An emerging solution is three-dimensional printing, which allows for precise fabrication of biomimetic scaffolds to enhance tissue regeneration. This review summarizes the use of 3D printing in creating scaffolds for musculoskeletal interfaces, mainly focusing on advanced techniques such as multi-material printing, bioprinting, and 4D printing. We emphasize the significance of mimicking natural tissue gradients and the selection of appropriate biomaterials to ensure scaffold success. The review outlines state-of-the-art 3D printing technologies, varying from extrusion, inkjet and laser-assisted bioprinting, which are crucial for producing scaffolds with tailored mechanical and biological properties. Applications in cartilage-bone, intervertebral disc, tendon/ligament-bone, and muscle-tendon junction engineering are discussed, highlighting the potential for improved integration and functionality. Furthermore, we address challenges in material development, printing resolution, and the in vivo performance of scaffolds, as well as the prospects for clinical translation. The review concludes by underscoring the transformative potential of 3D printing to advance orthopedic medicine, offering a roadmap for future research at the intersection of biomaterials, drug delivery, and tissue engineering.
Collapse
Affiliation(s)
- Tianpeng Xu
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region
| | - Jingdong Rao
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region
| | - Yongyi Mo
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region
| | - Avery Chik-Him Lam
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region
| | - Yuhe Yang
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region; The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China
| | - Sidney Wing-Fai Wong
- Industrial Centre, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region
| | - Ka-Hing Wong
- Research Institute for Future Food, Department of Food Science and Nutrition, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region
| | - Xin Zhao
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region; The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China; Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region.
| |
Collapse
|