128036 20241125101201.0 doi 10.1016/j.biomaterials.2023.122273 sideral 135184 ART-2023-135184 eng Sáez, P. Brain tissue mechanics is governed by microscale relations of the tissue constituents 2023 Access copy available to the general public Unrestricted Local mechanical tissue properties are a critical regulator of cell function in the central nervous system (CNS) during development and disorder. However, we still don't fully understand how the mechanical properties of individual tissue constituents, such as cell nuclei or myelin, determine tissue mechanics. Here we developed a model predicting local tissue mechanics, which induces non-affine deformations of the tissue components. Using the mouse hippocampus and cerebellum as model systems, we show that considering individual tissue components alone, as identified by immunohistochemistry, is not sufficient to reproduce the local mechanical properties of CNS tissue. Our results suggest that brain tissue shows a universal response to applied forces that depends not only on the amount and stiffness of the individual tissue constituents but also on the way how they assemble. Our model may unify current incongruences between the mechanics of soft biological tissues and the underlying constituents and facilitate the design of better biomedical materials and engineered tissues. To this end, we provide a freely-available platform to predict local tissue elasticity upon providing immunohistochemistry images and stiffness values for the constituents of the tissue. info:eu-repo/grantAgreement/EC/FP7/615170/EU/MICROMACHINED OPTOMECHANICAL DEVICES: looking at cells, tissues, and organs ... with a gentle touch/DIDYMUS info:eu-repo/grantAgreement/EC/H2020/772426/EU/The integration of mechanical and chemical signals in neuronal guidance/MECHEMGUI This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 772426-MECHEMGUI info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 12.8 2023 MATERIALS SCIENCE, BIOMATERIALS 2 / 53 = 0.038 2023 Q1 T1 ENGINEERING, BIOMEDICAL 4 / 123 = 0.033 2023 Q1 T1 3.016 2023 Bioengineering 2023 Q1 Biomaterials 2023 Q1 Nanoscience and Nanotechnology 2023 Q1 Ceramics and Composites 2023 Q1 Mechanics of Materials 2023 Q1 Biophysics 2023 Q1 26.0 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Borau, C. Universidad de Zaragoza (orcid)0000-0002-3784-1140 Antonovaite, N. Franze, K. 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 301 (2023), 122273 [9 pp.] Biomaterials Biomaterials 0142-9612 5159640 http://zaguan.unizar.es/record/128036/files/texto_completo.pdf Versión publicada 2574534 http://zaguan.unizar.es/record/128036/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:128036 articulos driver 2024-11-22-12:11:36 ARTICLE