Triphasic 3D In Vitro Model of Bone-Tendon-Muscle Interfaces to Study Their Regeneration.
Wendy BalestriGraham J HickmanRobert H MorrisJohn Alan HuntYvonne ReinwaldPublished in: Cells (2023)
The transition areas between different tissues, known as tissue interfaces, have limited ability to regenerate after damage, which can lead to incomplete healing. Previous studies focussed on single interfaces, most commonly bone-tendon and bone-cartilage interfaces. Herein, we develop a 3D in vitro model to study the regeneration of the bone-tendon-muscle interface. The 3D model was prepared from collagen and agarose, with different concentrations of hydroxyapatite to graduate the tissues from bones to muscles, resulting in a stiffness gradient. This graduated structure was fabricated using indirect 3D printing to provide biologically relevant surface topographies. MG-63, human dermal fibroblasts, and Sket.4U cells were found suitable cell models for bones, tendons, and muscles, respectively. The biphasic and triphasic hydrogels composing the 3D model were shown to be suitable for cell growth. Cells were co-cultured on the 3D model for over 21 days before assessing cell proliferation, metabolic activity, viability, cytotoxicity, tissue-specific markers, and matrix deposition to determine interface formations. The studies were conducted in a newly developed growth chamber that allowed cell communication while the cell culture media was compartmentalised. The 3D model promoted cell viability, tissue-specific marker expression, and new matrix deposition over 21 days, thereby showing promise for the development of new interfaces.
Keyphrases
- bone mineral density
- cell proliferation
- induced apoptosis
- stem cells
- endothelial cells
- soft tissue
- bone regeneration
- gene expression
- skeletal muscle
- single cell
- wound healing
- cell therapy
- poor prognosis
- postmenopausal women
- extracellular matrix
- drug delivery
- endoplasmic reticulum stress
- anterior cruciate ligament reconstruction
- tissue engineering
- long non coding rna
- cell cycle
- body composition
- deep learning
- binding protein