摘要：Background Damage to the central nervous system(CNS)usually leads to the activation of astrocytes,followed by glial scar formation.For years,glial scar has been thought as a major obstacle for successful axon regeneration.However,increasing evidence suggests a beneficial role for this scar tissue as part of the endogenous local immune regulation and repair process.Surprisingly,in contrast to scars in other tissues,glial scars(mainly consist of reactive astrocytes)in both rat cortex and spinal cord were recently found to be significantly softer than healthy CNS tissues.Naive astrocytes have been found to change their phenotype to reactive astrocytes and gradually into scar-forming astrocytes,upregulating the astrocyte marker glial fibrillary acidic protein(GFAP),vimentin,and inflammatory proteins in almost all known brain disorders.Such phenotype transformation process has been widely thought unidirectional or irreversible.However,recent research revealed the environment-dependent plasticity of astrocyte phenotypes,with reactive astrocytes could revert in retrograde to naive astrocytes in proper microenvironment.In consideration of the important roles of mechanical cues in CNS and the unique softening behavior of glial scars,it is of great interesting to study the effects of dynamic changes of matrix stiffness on astrocyte phenotypic switch.Materials&methods Primary astrocyes were isolated from the cortex of SpragueDawley(SD)rats at PI.After cultured for 2 weeks,astrocytes were encapsulated into a set of three-dimensional(3D)hybrid hydrogel system composed of type I collagen and alginate.Immunofluorescence and Western blot expression analysis were applied for characterizting cell responses to different and dynamically changed matrix stiffness.A molecular dynamics model was developed for simulation.Results&discussion In this work,we established an in-vitro model to study the effects of dynamic changes of matrix stiffness on astrocyte phenotypic switchings in 3D.To simulate native cellular environment,we fabricated

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