New injectable two-step forming hydrogel for delivery of bioactive substances in tissue regeneration.
Edgar Pérez-HerreroPatricia García-GarcíaJaime Gómez-MoralesMatias LlabrésAraceli DelgadoCarmen ÉvoraPublished in: Regenerative biomaterials (2019)
A hydrogel based on chitosan, collagen, hydroxypropyl-γ-cyclodextrin and polyethylene glycol was developed and characterized. The incorporation of nano-hydroxyapatite and pre-encapsulated hydrophobic/hydrophilic model drugs diminished the porosity of hydrogel from 81.62 ± 2.25% to 69.98 ± 3.07%. Interactions between components of hydrogel, demonstrated by FTIR spectroscopy and rheology, generated a network that was able to trap bioactive components and delay the burst delivery. The thixotropic behavior of hydrogel provided adaptability to facilitate its implantation in a minimally invasive way. Release profiles from microspheres included or not in hydrogel revealed a two-phase behavior with a burst- and a controlled-release period. The same release rate for microspheres included or not in the hydrogel in the controlled-release period demonstrated that mass transfer process was controlled by internal diffusion. Effective diffusion coefficients, D eff, that describe internal diffusion inside microspheres, and mass transfer coefficients, h, i.e. the contribution of hydrogel to mass transfer, were determined using 'genetic algorithms', obtaining values between 2.64·10-15 and 6.67·10-15 m2/s for D eff and 8.50·10-10 to 3.04·10-9 m/s for h. The proposed model fits experimental data, obtaining an R 2-value ranged between 95.41 and 98.87%. In vitro culture of mesenchymal stem cells in hydrogel showed no manifestations of intolerance or toxicity, observing an intense proliferation of the cells after 7 days, being most of the scaffold surface occupied by living cells.
Keyphrases
- tissue engineering
- drug delivery
- hyaluronic acid
- wound healing
- mesenchymal stem cells
- living cells
- minimally invasive
- stem cells
- machine learning
- oxidative stress
- molecularly imprinted
- single molecule
- high resolution
- gene expression
- induced apoptosis
- signaling pathway
- cell death
- mass spectrometry
- deep learning
- artificial intelligence
- genome wide
- big data
- cell therapy
- single cell
- endoplasmic reticulum stress
- liquid chromatography
- pi k akt
- umbilical cord