Adsorption of Fibrinogen and Fibronectin on Elastomeric Poly(butylene succinate) Copolyesters.
Peter SobolewskiN Sanjeeva MurthyJoachim KohnMiroslawa El FrayPublished in: Langmuir : the ACS journal of surfaces and colloids (2019)
Proteins adsorbed onto biomaterial surfaces facilitate cell-material interactions, including adhesion and migration. Of particular importance are provisional matrix components, fibrinogen (Fg) and fibronectin (Fn), which play an important role in the wound-healing process. Here, to assess the potential of a series of elastomeric poly(butylene succinate) (PBS) copolymers for soft tissue engineering and regenerative medicine applications, we examined the adsorption of Fg and Fn. We prepared spin-coated thin films of the poly(butylene succinate) homopolymer and a series of elastomeric poly(butylene succinate) copolymers with butylene succinate (PBS, hard segment) to succinate-dimer linoleic diol unit (dilinoleic succinate (DLS), soft segments) weight ratios of 70:30, 60:40, and 50:50. X-ray diffraction was used to assess crystallinity, whereas the obtained thin films were characterized using a quartz crystal microbalance with dissipation monitoring (QCM-D) and atomic force microscopy. Protein adsorption was assessed using QCM-D, followed by data analysis using viscoelastic modeling. On all three copolymers, we observed robust adsorption of both key provisional matrix proteins. Importantly, for both proteins, viscoelastic modeling determined that the adlayers were 30-40 nm thick and had low shear modulus values (<25 kPa), thus indicating soft orientations (end-on for Fg) or conformations (open for Fn) of the hydrated proteins. Overall, our results are very encouraging, as they predict excellent cell adhesion and migration, key features enabling tissue integration of potential PBS-DLS scaffolds.
Keyphrases
- atomic force microscopy
- tissue engineering
- cell adhesion
- aqueous solution
- high speed
- single molecule
- wound healing
- single cell
- stem cells
- staphylococcus aureus
- body mass index
- physical activity
- big data
- machine learning
- computed tomography
- electronic health record
- mass spectrometry
- small molecule
- magnetic resonance
- climate change
- room temperature
- type iii
- mesenchymal stem cells
- ionic liquid
- protein protein