1,720,974 research outputs found

    Skeletal muscle regenerative approach combining stem cells and 3D bioprinting

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    Skeletal muscles own a remarkable self-repair and regenerative capacity in response to acute injuries, such as exercise-induced damage or disease. However, when muscle loss becomes irreversible, lesions are so severe that they impair muscle functionality. Thus, 3D bioprinting approaches are becoming more wide-spread with the important task to reproduce in a three-dimensional way the proper fiber organization and finally the functional skeletal muscle tissue. In this context, hydrogels are suitable scaffolds to mimic extracellular matrix and support tissue functions. In this study, we present a new strategy for the generation of artificial skeletal muscle tissue with functional morphologies based on an innovative 3D bioprinting approach. The methodology is built on a pneumatic extrusion-based 3D bio-plotter (INCREDIBLE+) for high resolution 3D bioprinting of hydrogel fibers laden with muscle precursor cells (C2C12). To promote myogenic differentiation, we use a bioink with a specific alginate/fibrinogen-based hydrogel (CELLINK) encapsulating cells into 3D constructs composed of aligned hydrogel fibers. After 14 till 28 days of culture, the encapsulated myoblasts started fusing, forming multinucleated myotubes within the 3D bioprinted fibers. The obtained myotubes showed high degree of alignment along the direction of hydrogel fiber deposition, further revealing maturation and sarcomere genesis. These results were confirmed by immunofluorescence and qRT-PCR analysis, revealing the expression of specific myogenic differentiation markers including MyHC, MyoD and MCK respectively. Finally, we demonstrate that myoblast bioprinting allows to design 3D multicellular assemblies with characteristic compartmentalization of the encapsulated myogenic cells. Our preliminary results demonstrate myogenic differentiation with the formation of parallel aligned long-range myotubes. The approach that we report here represents a robust and valid method for the fabrication of macroscopic artificial muscle to scale up skeletal muscle tissue engineering for further clinical application

    Mechanosensor YAP cooperates with TGF-β1 signaling to promote myofibroblast activation and matrix stiffening in a 3D model of human cardiac fibrosis

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    : Cardiac fibrosis is characterized by a maladaptive remodeling of the myocardium, which is controlled by various inflammatory pathways and cytokines. This remodeling is accompanied by a significant stiffening of the matrix, which may contribute to further activate collagen synthesis and scar formation. Evidence suggests that TGF-β1 signaling, the main pro-fibrotic pathway in cardiac fibrosis, might cooperates with the Hippo transcriptional pathway by activating YAP. To directly test the cooperation of mechanical cues and paracrine signaling in cardiac fibrosis, we developed a 3D model of cardiac extracellular matrix remodeling by generating tissue blocks with Gelatin Methacrylate, a bioink with tunable stiffness, and human cardiosphere-derived stromal cells. Using this strategy, we assessed the cooperation of TGF-β1 and YAP transcriptional factor to matrix compaction. Using mechanical compression tests, Masson's trichrome staining, immunofluorescence, and RT-qPCR, we demonstrate that pharmacological inhibition of YAP complex reverts almost completely the pro-compaction phenotype and the matrix-remodeling activity of cells treated with TGF-β1. Our data show a direct connection between the classical pro-fibrotic signaling driven by TGF-β1 and the mechanically activated pathways under the control of YAP in cardiac remodeling. Treatment with the elective drug targeting YAP is sufficient to override this cooperation with potential benefits for anti-fibrotic therapeutic applications. STATEMENT OF SIGNIFICANCE: Heart failure is a pathology in continuous growth worldwide, characterized by a progressive fibrosis, which decreases the pumping efficiency of the heart. Experimental evidences suggest that fibroblasts, normally responsible for the turnover of the cardiac matrix, are involved in myocardial fibrosis by differentiating into 'myofibroblasts'. These cells remodel extensively the cardiac extracellular matrix and deposit abundant collagen with a consequent increase in stiffness. In the present contribution, we propose a new 3D model of cell-mediated cardiac extracellular matrix stiffening to investigate the mechano-chemical mechanisms underlying the onset of the pathology. We also consolidate a pharmacological treatment able to prevent the pathological activation of fibroblasts with potential benefits for anti-fibrotic treatment of the failing heart

    Design and biofabrication of bacterial living materials with robust and multiplexed biosensing capabilities

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    The intertwined adoption of synthetic biology and 3D bioprinting has the potential to improve different application fields by fabricating engineered living materials (ELMs) with unnatural genetically-encoded sense & response capabilities. However, efforts are still needed to streamline the fabrication of sensing ELMs compatible with field use and improving their functional complexity. To investigate these two unmet needs, we adopted a workflow to reproducibly construct bacterial ELMs with synthetic biosensing circuits that provide red pigmentation as visible readout in response to different proof-of-concept chemical inducers. We first fabricated single-input/single-output ELMs and we demonstrated their robust performance in terms of longevity (cell viability and evolutionary stability >15 days, and long-term storage >1 month), sensing in harsh, non-sterile or nutrient-free conditions compatible with field use (soil, water, and clinical samples, including real samples from Pseudomonas aeruginosa infected patients). Then, we fabricated ELMs including multiple spatially-separated biosensor strains to engineer: level-bar materials detecting molecule concentration ranges, multi-input/multi-output devices with multiplexed sensing and information processing capabilities, and materials with cell-cell communication enabling on-demand pattern formation. Overall, we showed successful field use and multiplexed functioning of reproducibly fabricated ELMs, paving the way to a future automation of the prototyping process and boosting applications of such devices as in-situ monitoring tools or easy-to-use sensing kits

    Experimental characterization and computational modeling of hydrogel cross-linking for bioprinting applications

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    Alginate-based hydrogels are extensively used to create bioinks for bioprinting, due to their biocompatibility, low toxicity, low costs, and slight gelling. Modeling of bioprinting process can boost experimental design reducing trial-and-error tests. To this aim, the cross-linking kinetics for the chemical gelation of sodium alginate hydrogels via calcium chloride diffusion is analyzed. Experimental measurements on the absorbed volume of calcium chloride in the hydrogel are obtained at different times. Moreover, a reaction-diffusion model is developed, accounting for the dependence of diffusive properties on the gelation degree. The coupled chemical system is solved using finite element discretizations which include the inhomogeneous evolution of hydrogel state in time and space. Experimental results are fitted within the proposed modeling framework, which is thereby calibrated and validated. Moreover, the importance of accounting for cross-linking-dependent diffusive properties is highlighted, showing that, if a constant diffusivity property is employed, the model does not properly capture the experimental evidence. Since the analyzed mechanisms highly affect the evolution of the front of the solidified gel in the final bioprinted structure, the present study is a step towards the development of reliable computational tools for the in silico optimization of protocols and post-printing treatments for bioprinting applications

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Prediction of the mechanical response of a 3D (bio)printed hybrid scaffold for improving bone tissue regeneration by structural finite element analysis

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    : Scaffolds for bone tissue engineering should be osteoinductive, osteoconductive, biocompatible, biodegradable, and, at the same time, exhibit proper mechanical properties. The present study investigated the mechanical properties of a coprinted hybrid scaffold made of polycaprolactone (PCL) and an alginate-based hydrogel, which was conceived to possess a double function of in vivo bio-integration (due to the ability of the hydrogel to release lyosecretome, a freeze-dried formulation of mesenchymal stem cell secretome with osteoinductive and osteoconductive properties) and withstanding loads (due to the presence of polycaprolactone, which provides mechanical resistance). To this end, an in-silico study was conducted to predict mechanical properties. Structural finite element analysis (FEA) of the hybrid scaffold under compression was performed to compare the numerical results with the corresponding experimental data. The impact of alginate inclusion and infill patterns on scaffold stiffness was investigated. Results show an increase in mechanical properties by changing the scaffold infill pattern (linear: 145.38±28.90 vs. honeycomb: 278.96±50.19, mean and standard deviation, n = 8), while alginate inclusion does not always impact the mechanical performance of the hybrid scaffold (stiffness: 145.38±28.90 vs. 195.42±38.68 N/mm, with vs without hydrogel inclusion, respectively). This is confirmed by FEA analysis, in which a good correspondence between experimental and numerical stiffness is shown (142±28.94 vs. 117.18, respectively, linear scaffold with hydrogel inclusion). In conclusion, the computational framework is a valid tool for predicting the mechanical performance of scaffolds and is promising for future clinical applications in the maxillofacial field
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