Conductive Microgel Annealed Scaffolds Enhance Myogenic Potential of Myoblastic Cells.
Alena CasellaJeremy LowenKatherine H GriffinNathan ShimamotoDavid H Ramos-RodriguezAlyssa PanitchJ Kent LeachPublished in: Advanced healthcare materials (2023)
Bioelectricity is an understudied phenomenon to guide tissue homeostasis and regeneration. Conductive biomaterials may capture native or exogenous bioelectric signaling, but incorporation of conductive moieties is limited by cytotoxicity, poor injectability, or insufficient stimulation. Microgel annealed scaffolds are promising as hydrogel-based materials due to their inherent void space that facilitates cell migration and proliferation better than nanoporous bulk hydrogels. We generated conductive microgels from poly(ethylene) glycol and poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) to explore the interplay of void volume and conductivity on myogenic differentiation. PEDOT:PSS increased microgel conductivity over 2-fold while maintaining stiffness, annealing strength, and viability of associated myoblastic cells. C2C12 myoblasts exhibited increases in the late-stage differentiation marker myosin heavy chain as a function of both porosity and conductivity. Myogenin, an earlier marker, was influenced only by porosity. Human skeletal muscle derived cells exhibited increased Myod1, IGF-1, and IGFBP-2 at earlier time points on conductive microgel scaffolds compared to non-conductive scaffolds. They also secreted higher levels of VEGF at early time points and expressed factors that led to macrophage polarization patterns observed during muscle repair. These data indicate that conductivity aids myogenic differentiation of myogenic cell lines and primary cells, motivating the need for future translational studies to promote muscle repair. This article is protected by copyright. All rights reserved.
Keyphrases
- tissue engineering
- skeletal muscle
- induced apoptosis
- cell cycle arrest
- reduced graphene oxide
- endothelial cells
- cell migration
- stem cells
- drug delivery
- insulin resistance
- machine learning
- cell death
- type diabetes
- metabolic syndrome
- oxidative stress
- pi k akt
- binding protein
- risk assessment
- big data
- endoplasmic reticulum stress
- extracellular matrix