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Yang Y, Lin Q, Hou Z, Yang G, Shen L. Three-Dimensional-Printed Osteochondral Scaffold with Biomimetic Surface Curvature for Osteochondral Regeneration. Pharmaceutics 2025; 17:153. [PMID: 40006520 PMCID: PMC11859329 DOI: 10.3390/pharmaceutics17020153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2024] [Revised: 01/04/2025] [Accepted: 01/17/2025] [Indexed: 02/27/2025] Open
Abstract
OBJECTIVES Treatment of osteochondral defects is hindered by several challenges, including the failure of traditional scaffolds with a predefined cylindrical or cuboid shape to comprehensively match the natural osteochondral tissue. Herein, we employed reverse modeling and three-dimensional (3D) printing technologies to prepare subchondral bone and cartilage. METHODS The osteochondral scaffold was prepared by bonding the subchondral bone and cartilage layers, and the curvature distribution and biomechanical behavior were compared with those of the native tissue. Biocompatibility and osteochondral regeneration performance were further evaluated using cell adhesion and proliferation assays, as well as animal osteochondral defect repair tests. RESULTS We found that increasing the printing temperature or decreasing the layer height improved the dimensional accuracy of printed subchondral bones, whereas increasing the exposure time or decreasing the layer height enhanced the dimensional accuracy of the printed cartilage. Biomimetic scaffolds exhibited curvature distribution and biomechanical behavior more similar to native tissues than traditional cylindrical scaffolds. Incorporating gelatin methacryloyl into poly (ethylene glycol) diacrylate markedly improved the biocompatibility, and correspondingly prepared osteochondral scaffolds had better osteochondral regeneration ability than the traditional scaffolds. CONCLUSIONS Osteochondral scaffolds exhibiting biomimetic morphology and an internal structure could be prepared based on reverse modeling and 3D printing, facilitating personalized osteochondral injury treatment.
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Affiliation(s)
- Yan Yang
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou 310014, China; (Y.Y.); (Q.L.)
| | - Qu Lin
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou 310014, China; (Y.Y.); (Q.L.)
| | - Zhenhai Hou
- Department of Orthopaedics, No. 903 Hospital of PLA Joint Logistic Support Force, Hangzhou 310013, China;
| | - Gensheng Yang
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou 310014, China; (Y.Y.); (Q.L.)
| | - Lian Shen
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou 310014, China; (Y.Y.); (Q.L.)
- XiangFu Laboratory, Jiaxing 314102, China
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Chen J, Xu H, Zhou H, Wang Z, Li W, Guo J, Zhou Y. Knowledge mapping and bibliometric analysis of medical knee magnetic resonance imaging for knee osteoarthritis (2004-2023). Front Surg 2024; 11:1387351. [PMID: 39345660 PMCID: PMC11427760 DOI: 10.3389/fsurg.2024.1387351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 08/29/2024] [Indexed: 10/01/2024] Open
Abstract
Objectives Magnetic resonance imaging (MRI) is increasingly used to detect knee osteoarthritis (KOA). In this study, we aimed to systematically examine the global research status on the application of medical knee MRI in the treatment of KOA, analyze research hotspots, explore future trends, and present results in the form of a knowledge graph. Methods The Web of Science core database was searched for studies on medical knee MRI scans in patients with KOA between 2004 and 2023. CiteSpace, SCImago Graphica, and VOSviewer were used for the country, institution, journal, author, reference, and keyword analyses. Results A total of 2,904 articles were included. The United States and Europe are leading countries. Boston University is the main institution. Osteoarthritis and cartilage is the main magazine. The most frequently cocited article was "Radiological assessment of osteoarthrosis". Guermazi A was the author with the highest number of publications and total references. The keywords most closely linked to MRI and KOA were "cartilage", "pain", and "injury". Conclusions The application of medical knee MRI in KOA can be divided into the following parts: (1). MRI was used to assess the relationship between the characteristics of local tissue damage and pathological changes and clinical symptoms. (2).The risk factors of KOA were analyzed by MRI to determine the early diagnosis of KOA. (3). MRI was used to evaluate the efficacy of multiple interventions for KOA tissue damage (e.g., cartilage defects, bone marrow edema, bone marrow microfracture, and subchondral bone remodeling). Artificial intelligence, particularly deep learning, has become the focus of research on MRI applications for KOA.
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Affiliation(s)
- Juntao Chen
- College of Acupuncture and Tuina, Henan University of Chinese Medicine, Zhengzhou, China
| | - Hui Xu
- College of Acupuncture and Tuina, Henan University of Chinese Medicine, Zhengzhou, China
- Tuina Department, The Third Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
| | - Hang Zhou
- College of Acupuncture and Tuina, Henan University of Chinese Medicine, Zhengzhou, China
| | - Zheng Wang
- College of Acupuncture and Tuina, Henan University of Chinese Medicine, Zhengzhou, China
| | - Wanyu Li
- College of Acupuncture and Tuina, Henan University of Chinese Medicine, Zhengzhou, China
| | - Juan Guo
- College of Acupuncture and Tuina, Henan University of Chinese Medicine, Zhengzhou, China
| | - Yunfeng Zhou
- College of Acupuncture and Tuina, Henan University of Chinese Medicine, Zhengzhou, China
- Tuina Department, The Third Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
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Dong Z, Yang C, Zhang D, Dong S. The application of human medical image-based finite element analysis in the construction of mouse osteoarthritis models. Heliyon 2024; 10:e26226. [PMID: 38390145 PMCID: PMC10882037 DOI: 10.1016/j.heliyon.2024.e26226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 02/08/2024] [Accepted: 02/08/2024] [Indexed: 02/24/2024] Open
Abstract
The anterior cruciate ligament plays an important role in maintaining the stability of the knee joint. Its injury is a common cause of articular cartilage degeneration and osteoarthritis (OA). The anterior cruciate ligament transection (ACLT) method is commonly employed to construct animal models for studying osteoarthritis pathogenesis. However, the precise mechanism of how anterior cruciate ligament injury leads to osteoarthritis is not fully understood. This study utilized finite element analysis (FEA) with human medical images to simulate the biomechanical characteristics of anterior cruciate ligament (ACL) injury. Osteoarthritis models were subsequently established in C57BL/6 mice using ACLT to explore the link between ACL injury and osteoarthritis development. The results of FEA showed that, after an anterior cruciate ligament injury, abnormal stress was concentrated in the medial and lateral of the femoral and tibial articular cartilage during knee flexion and extension. In order to better display the pathological changes of articular cartilage in the stress areas, the medial tibial cartilage was selected as a representative area to observe the continuous pathological changes of articular cartilage in ACLT-induced OA mice. The articular cartilage degeneration was most dramatic at four weeks post ACLT operation and then remained relatively stable. This study may have significant implications for the development of animal models of osteoarthritis and provide a reference for histopathological research on osteoarthritis.
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Affiliation(s)
- Zicai Dong
- Department of Biomedical Materials Science, Third Military Medical University (Army Medical University), 400038, Chongqing, PR China
| | - Chunhan Yang
- School of Stomatology, Kunming Medical University, 650000, Kunming, PR China
| | - Dingsong Zhang
- Department of Hematology, 920th Hospital of Joint Logistics Support Force, PLA, 650118, Kunming, PR China
| | - Shiwu Dong
- Department of Biomedical Materials Science, Third Military Medical University (Army Medical University), 400038, Chongqing, PR China
- State Key Laboratory of Trauma and Chemical Poisoning, Third Military Medical University (Army Medical University), 400038, Chongqing, PR China
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Diamond LE, Grant T, Uhlrich SD. Osteoarthritis year in review 2023: Biomechanics. Osteoarthritis Cartilage 2024; 32:138-147. [PMID: 38043858 DOI: 10.1016/j.joca.2023.11.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/23/2023] [Accepted: 11/27/2023] [Indexed: 12/05/2023]
Abstract
Biomechanics plays a significant yet complex role in osteoarthritis (OA) onset and progression. Identifying alterations in biomechanical factors and their complex interactions is critical for gaining new insights into OA pathophysiology and identification of clearly defined and modifiable mechanical treatment targets. This review synthesized biomechanics studies from March 2022 to April 2023, from which three themes relating to human gait emerged: (1) new insights into the pathogenesis of OA using computational modeling and machine learning, (2) technology-enhanced biomechanical interventions for OA, and (3) out-of-lab biomechanical assessments of OA. We further highlighted future-focused areas which may continue to advance the field of biomechanics in OA, with a particular emphasis on exploiting technology to understand and treat biomechanical mechanisms of OA outside the laboratory. The breadth of studies included in this review highlights the complex role of biomechanics in OA and showcase numerous innovative and outstanding contributions to the field. Exciting cross-disciplinary efforts integrating computational modeling, mobile sensors, and machine learning methods show great promise for streamlining in vivo multi-scale biomechanics workflows and are expected to underpin future breakthroughs in the understanding and treatment of biomechanics in OA.
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Affiliation(s)
- Laura E Diamond
- Griffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia; School of Health Sciences and Social Work, Griffith University, Gold Coast, Australia.
| | - Tamara Grant
- Griffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia; School of Health Sciences and Social Work, Griffith University, Gold Coast, Australia.
| | - Scott D Uhlrich
- Department of Bioengineering, Stanford University, Stanford, CA, USA.
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Wei L, Pan Q, Teng J, Zhang H, Qin N. Intra-articular administration of PLGA resveratrol sustained-release nanoparticles attenuates the development of rat osteoarthritis. Mater Today Bio 2024; 24:100884. [PMID: 38173866 PMCID: PMC10761803 DOI: 10.1016/j.mtbio.2023.100884] [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: 04/13/2023] [Revised: 11/23/2023] [Accepted: 11/25/2023] [Indexed: 01/05/2024] Open
Abstract
Our previous studies have confirmed that resveratrol (RSV) can prevent the development of osteoarthritis through a variety of mechanisms, such as apoptosis inhibition, autophagy induction and SIRT 1 activation. However, the pharmaceutical application of RSV is mainly limited by its low bioavailability. Here, we designed and synthesized RSV-loaded poly (D, l-lactide-coglycolide acid) (PLGA)-nanoparticles (NPs). The average particle size, polydispersity index and positive charge of RSV-loaded PLGA NPs were 50.40 nm, 0.217 and 12.57 mV, respectively. These nanoparticles had marked encapsulation efficiency (92.35 %) and drug loading (15.1 %) for RSV. It was found that RSV-loaded PLGA NPs not only inhibited the apoptosis of chondrocytes induced by IL-1, but also rescued GAG loss in vitro. Pharmacokinetic data showed that RSV-loaded PLGA NPs demonstrated a significantly profound and prolonged concentration profile in joint tissues, with quantifiable RSV concentrations over 35 days. The therapeutic effects of RSV-loaded PLGA NPs were then examined in rat osteoarthritis models. In vitro magnetic resonance imaging results showed that RSV-loaded PLGA NPs treatment dramatically reduced both T1ρ and T2 relaxation times at 4, 8, 12 weeks during administration, implying that cartilage destruction was alleviated. Histological assessments showed that RSV-loaded PLGA NPs significantly improved osteoarthritis symptoms. Gene expression analysis revealed that osteoarthritis mediator genes were downregulated in rats treated with RSV-PLGA NPs. Mechanistic studies indicated that RSV-loaded PLGA NPs inhibit apoptosis and promote autophagy. Collectively, this study demonstrates that intra-articular delivery of RSV via PLGA NPs might be an effective therapeutic approach for osteoarthritis.
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Affiliation(s)
- Liwei Wei
- Department of Sports Medicine, Luoyang Orthopedic-Traumatological Hospital (Orthopedics Hospital of Henan Province), Luoyang, Henan, China
| | - Qingqing Pan
- The Third Affiliated Hospital of Xinxiang Medical University, Institutes of Health Central Plain, Clinical Medical Center of Tissue Engineering and Regeneration, Xinxiang Medical University, Xinxiang, Henan, China
| | - Junyan Teng
- Bone Pharmacology Laboratory, Luoyang Orthopedic-Traumatological Hospital (Orthopedics Hospital of Henan Province), Luoyang, Henan, China
| | - Hong Zhang
- Bone Pharmacology Laboratory, Luoyang Orthopedic-Traumatological Hospital (Orthopedics Hospital of Henan Province), Luoyang, Henan, China
| | - Na Qin
- Bone Pharmacology Laboratory, Luoyang Orthopedic-Traumatological Hospital (Orthopedics Hospital of Henan Province), Luoyang, Henan, China
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Thomas V, Mercuri J. In vitro and in vivo efficacy of naturally derived scaffolds for cartilage repair and regeneration. Acta Biomater 2023; 171:1-18. [PMID: 37708926 DOI: 10.1016/j.actbio.2023.09.008] [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: 05/26/2023] [Revised: 08/13/2023] [Accepted: 09/07/2023] [Indexed: 09/16/2023]
Abstract
Intrinsically present bioactive cues allow naturally derived materials to mimic important characteristics of cartilage while also facilitating cellular recruitment, infiltration, and differentiation. Such traits are often what tissue engineers desire when they fabricate scaffolds, and yet, literature from the past decade is replete with examples of how most natural constructs with native biomolecules have only offered sub-optimal results in the treatment of cartilage defects. This paper provides an in-depth investigation of the performance of such scaffolds through a review of a collection of natural materials that have been used so far in repairing/regenerating articular cartilage. Although in vivo and clinical studies are the best indicators of scaffold efficacy, it was, however, observed that a large number of natural constructs had very promising scaffold characteristics to begin with, and would often show good in vitro/in vivo results. Finally, an examination of the biochemistry and biomechanics of repair tissues in studies that reported positive outcomes showed that these attributes often approached target cartilage values. The paper concludes with an outline of current trends as well as future directions for the field. STATEMENT OF SIGNIFICANCE: This review offers an exclusive focus on natural scaffold materials for cartilage repair and regeneration and provides a quantitative and qualitative analysis of their performance under a variety of in vitro and in vivo conditions. Readers can learn about environments where natural scaffolds have had the most success and tailor strategies to optimize their own work. Furthermore, given how the glycosaminoglycan (GAG) to hydroxyproline (HYP) ratio and moduli are fundamental attributes of hyaline cartilage, this paper adds to the body of knowledge by exploring how these characteristics reflect in preclinical outcomes. Such perspectives can greatly aid researchers better utilize natural materials for Cartilage Tissue Engineering (CTE).
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Affiliation(s)
- Vishal Thomas
- The Laboratory of Orthopaedic Tissue Regeneration & Orthobiologics, Department of Bioengineering, 401-5 Rhodes Engineering Research Center, Clemson, SC 29631, USA
| | - Jeremy Mercuri
- The Laboratory of Orthopaedic Tissue Regeneration & Orthobiologics, Department of Bioengineering, 401-5 Rhodes Engineering Research Center, Clemson, SC 29631, USA.
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Orozco GA, Karjalainen K, Moo EK, Stenroth L, Tanska P, Rios JL, Tuomainen TV, Nissi MJ, Isaksson H, Herzog W, Korhonen RK. Correction: A musculoskeletal finite element model of rat knee joint for evaluating cartilage biomechanics during gait. PLoS Comput Biol 2023; 19:e1011025. [PMID: 36989216 DOI: 10.1371/journal.pcbi.1011025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pcbi.1009398.].
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