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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/186075
3D-bioengineered model of human skeletal muscle tissue with phenotypic features of aging for drug testing purposes
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Three-dimensional engineering of skeletal muscle is becoming increasingly relevant for tissue engineering, disease modeling and bio-hybrid robotics, where flexible, versatile and multidisciplinary approaches for the evaluation of tissue differentiation, functionality and force measurement are required. This works presents a 3D-printed platform of bioengineered human skeletal muscle which can efficiently model the three-dimensional structure of native tissue, while providing information about force generation and contraction profiles. Proper differentiation and maturation of myocytes is demonstrated by the expression of key myo-proteins using immunocytochemistry and analyzed by confocal microscopy, and the functionality assessed via electrical stimulation and analysis of contraction kinetics. To validate the flexibility of this platform for complex tissue modeling, the bioengineered muscle is treated with tumor necrosis factor α to mimic the conditions of aging, which is supported by morphological and functional changes. Moreover, as a proof of concept, the effects of Argireline® Amplified peptide, a cosmetic ingredient that causes muscle relaxation, are evaluated in both healthy and aged tissue models. Therefore, the results demonstrate that this 3D-bioengineered human muscle platform could be used to assess morphological and functional changes in the aging process of muscular tissue with potential applications in biomedicine, cosmetics and bio-hybrid robotics.
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MESTRE, Rafael, GARCÍA, Nerea, PATIÑO, Tania, GUIX, Maria, FUENTES, Judith, VALERIO SANTIAGO, Mauricio, ALMIÑANA, Núria, SÁNCHEZ ORDÓÑEZ, Samuel. 3D-bioengineered model of human skeletal muscle tissue with phenotypic features of aging for drug testing purposes. _Biofabrication_. 2021. Vol. 13, núm. 4. [consulta: 26 de febrer de 2026]. ISSN: 1758-5090. [Disponible a: https://hdl.handle.net/2445/186075]