Acta BiomaterialiaBioengineeringPeer-reviewed journal article
Localized Delivery of Growth Factors from Microparticles Modulate Osteogenic and Chondrogenic Gene Expression in Growth Factor-dependent Manner in an ex vivo Chick Embryonic Bone Model.
Hassan RashidiiD, Helen C. CoxiD, Omar QutachiiD, DALE A. MOULDINGiD, Lisa J. WhiteiD, Emma L. SmithiD, Janos M. KanczleriD, Luís RojoiD, Michael RotherhamiD, James R. HenstockiD, Molly M. StevensiD, Alicia Jennifer El HajiD, Richard O. C. OreffoiD, Kevin M. ShakesheffiD, Felicity R. A. J. RoseiD
Abstract
AbstractGrowth factors play a crucial role in regulating various cellular functions, including proliferation and differentiation. Consequently, the biomaterial-based delivery of exogenous growth factors presents a promising strategy in regenerative medicine to manage the healing process and restore tissue function. For effective therapeutic applications, it is essential that these active compounds are precisely targeted to the site of regeneration, with release kinetics that align with the slow pace of tissue growth. We have developed an ex vivo model utilizing a developing embryonic chick bone, and using PLGA based microparticles as controlled-release systems, allowing for the investigation of spatiotemporal effects of growth factor delivery on cell differentiation and tissue formation. Our findings demonstrate that BMP2 and FGF2 can significantly alter cell morphology and zonally pattern collagen deposition within the model, but only when the growth factor presentation rate is carefully regulated. Furthermore, the growth factor-dependent responses observed underscore the potential of this model to explore the interactions between cells and the growth factors released from biomaterials in an approach which can be applied for bone tissue engineering.
- organism: chicken / avian
- research focus: cell type annotation
- research focus: development & morphogenesis
- research focus: cell signaling & trafficking
- approach: experimental assay
- Citations
- 4
- FWCI
- 0.91
- Field percentile
- top 31%
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