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      Exercise-induced piezoelectric stimulation for cartilage regeneration in rabbits

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          Abstract

          A biodegradable piezoelectric scaffold excited by exercise promotes chondrogenesis and cartilage regeneration in rabbit osteochondral defects.

          Exciting scaffolds regenerate cartilage

          Osteoarthritis is a common condition, but curative therapies are limited. Here, Liu and colleagues developed a biodegradable scaffold using PLLA [poly( l -lactic acid)] nanofibers that when placed under applied force generated a piezoelectric charge, leading to improved chondrogenesis in vitro. Rabbits with osteochondral defects in the medial femoral condyle that were treated with the PLLA scaffold demonstrated improved cartilage regeneration and subchondral bone regeneration after 1 or 2 months of exercise to generate piezoelectric charge from the joint loads. Although further work is needed to optimize the scaffold microstructure and components, this study provides evidence that biodegradable piezoelectric scaffolds can use joint-loading exercise to treat osteoarthritis.

          Abstract

          More than 32.5 million American adults suffer from osteoarthritis, and current treatments including pain medicines and anti-inflammatory drugs only alleviate symptoms but do not cure the disease. Here, we have demonstrated that a biodegradable piezoelectric poly( l -lactic acid) (PLLA) nanofiber scaffold under applied force or joint load could act as a battery-less electrical stimulator to promote chondrogenesis and cartilage regeneration. The PLLA scaffold under applied force or joint load generated a controllable piezoelectric charge, which promoted extracellular protein adsorption, facilitated cell migration or recruitment, induced endogenous TGF-β via calcium signaling pathway, and improved chondrogenesis and cartilage regeneration both in vitro and in vivo. Rabbits with critical-sized osteochondral defects receiving the piezoelectric scaffold and exercise treatment experienced hyaline-cartilage regeneration and completely healed cartilage with abundant chondrocytes and type II collagen after 1 to 2 months of exercise (2 to 3 months after surgery including 1 month of recovery before exercise), whereas rabbits treated with nonpiezoelectric scaffold and exercise treatment had unfilled defect and limited healing. The approach of combining biodegradable piezoelectric tissue scaffolds with controlled mechanical activation (via physical exercise) may therefore be useful for the treatment of osteoarthritis and is potentially applicable to regenerating other injured tissues.

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          Most cited references67

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          Analyzing real-time PCR data by the comparative CT method

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            An improved technique for determining hardness and elastic modulus using load and displacement sensing indentation experiments

            The indentation load-displacement behavior of six materials tested with a Berkovich indenter has been carefully documented to establish an improved method for determining hardness and elastic modulus from indentation load-displacement data. The materials included fused silica, soda–lime glass, and single crystals of aluminum, tungsten, quartz, and sapphire. It is shown that the load–displacement curves during unloading in these materials are not linear, even in the initial stages, thereby suggesting that the flat punch approximation used so often in the analysis of unloading data is not entirely adequate. An analysis technique is presented that accounts for the curvature in the unloading data and provides a physically justifiable procedure for determining the depth which should be used in conjunction with the indenter shape function to establish the contact area at peak load. The hardnesses and elastic moduli of the six materials are computed using the analysis procedure and compared with values determined by independent means to assess the accuracy of the method. The results show that with good technique, moduli can be measured to within 5%.
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              OpenSim: open-source software to create and analyze dynamic simulations of movement.

              Dynamic simulations of movement allow one to study neuromuscular coordination, analyze athletic performance, and estimate internal loading of the musculoskeletal system. Simulations can also be used to identify the sources of pathological movement and establish a scientific basis for treatment planning. We have developed a freely available, open-source software system (OpenSim) that lets users develop models of musculoskeletal structures and create dynamic simulations of a wide variety of movements. We are using this system to simulate the dynamics of individuals with pathological gait and to explore the biomechanical effects of treatments. OpenSim provides a platform on which the biomechanics community can build a library of simulations that can be exchanged, tested, analyzed, and improved through a multi-institutional collaboration. Developing software that enables a concerted effort from many investigators poses technical and sociological challenges. Meeting those challenges will accelerate the discovery of principles that govern movement control and improve treatments for individuals with movement pathologies.
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                Author and article information

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                Journal
                Science Translational Medicine
                Sci. Transl. Med.
                American Association for the Advancement of Science (AAAS)
                1946-6234
                1946-6242
                January 12 2022
                January 12 2022
                : 14
                : 627
                Affiliations
                [1 ]Department of Mechanical Engineering, University of Connecticut, Storrs, CT 06269, USA.
                [2 ]Connecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health Center, Farmington, CT 06030, USA.
                [3 ]Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, CT 06269, USA.
                [4 ]Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
                [5 ]Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
                [6 ]Division of Oral and Maxillofacial Diagnostic Sciences, School of Dental Medicine, University of Connecticut, Farmington, CT 06030, USA.
                [7 ]Division of Anatomic Pathology, Department of Pathology and Laboratory Medicine, School of Medicine, University of Connecticut, Farmington, CT 06030, USA.
                [8 ]Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT 06269, USA.
                [9 ]Department of Materials Science and Engineering, University of Connecticut, Storrs, CT 06269, USA.
                [10 ]Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA.
                [11 ]Department of Medicine, University of Connecticut Health Center, Farmington, CT 06030, USA.
                Article
                10.1126/scitranslmed.abi7282
                35020409
                80133862-ac4a-478b-a259-909d3a58c0ea
                © 2022
                History

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