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- All Subjects: Nanoparticles
- All Subjects: Tissue Engineering
- Creators: Stabenfeldt, Sarah
- Creators: Sirianni, Rachael
Polymeric nanoparticles (NP) consisting of Poly Lactic-co-lactic acid - methyl polyethylene glycol (PLLA-mPEG) or Poly Lactic-co-Glycolic Acid (PLGA) are an emerging field of study for therapeutic and diagnostic applications. NPs have a variety of tunable physical characteristics like size, morphology, and surface topography. They can be loaded with therapeutic and/or diagnostic agents, either on the surface or within the core. NP size is an important characteristic as it directly impacts clearance and where the particles can travel and bind in the body. To that end, the typical target size for NPs is 30-200 nm for the majority of applications. Fabricating NPs using the typical techniques such as drop emulsion, microfluidics, or traditional nanoprecipitation can be expensive and may not yield the appropriate particle size. Therefore, a need has emerged for low-cost fabrication methods that allow customization of NP physical characteristics with high reproducibility. In this study we manufactured a low-cost (<$210), open-source syringe pump that can be used in nanoprecipitation. A design of experiments was utilized to find the relationship between the independent variables: polymer concentration (mg/mL), agitation rate of aqueous solution (rpm), and injection rate of the polymer solution (mL/min) and the dependent variables: size (nm), zeta potential, and polydispersity index (PDI). The quarter factorial design consisted of 4 experiments, each of which was manufactured in batches of three. Each sample of each batch was measured three times via dynamic light scattering. The particles were made with PLLA-mPEG dissolved in a 50% dichloromethane and 50% acetone solution. The polymer solution was dispensed into the aqueous solution containing 0.3% polyvinyl alcohol (PVA). Data suggests that none of the factors had a statistically significant effect on NP size. However, all interactions and relationships showed that there was a negative correlation between the above defined input parameters and the NP size. The NP sizes ranged from 276.144 ± 14.710 nm at the largest to 185.611 ± 15.634 nm at the smallest. In conclusion, the low-cost syringe pump nanoprecipitation method can achieve small sizes like the ones reported with drop emulsion or microfluidics. While there are trends suggesting predictable tuning of physical characteristics, significant control over the customization has not yet been achieved.
Growing evidence suggests a relationship between SDF-1α/CXCR4 signaling and endogenous neural progenitor/stem cells (NPSC)-mediated regeneration after neural injury. Long-term modulation of the SDF-1α/CXCR4 signaling axis is thus hypothesized as a possible avenue for harnessing and amplifying endogenous regenerative mechanisms after TBI. In order to understand how the SDF-1α/CXCR4 signaling can be modulated in vivo, we first developed and characterized a sustained protein delivery platform in vitro. We were the first, to our knowledge, to demonstrate that protein release profiles from poly(D,L,-lactic-co-glycolic) acid (PLGA) particles can be tuned independent of particle fabrication parameters via centrifugal fractioning. This process of physically separating the particles altered the average diameter of a particle population, which is in turn was correlated to critical release characteristics. Secondly, we demonstrated sustained release of SDF-1α from PLGA/fibrin composites (particles embedded in fibrin) with tunable burst release as a function of fibrin concentration. Finally, we contrasted the spatiotemporal localization of endogenous SDF-1α and CXCR4 expression in response to either bolus or sustained release of exogenous SDF-1α. Sustained release of exogenous SDF-1α induced spatially diffuse endogenous SDF-1/CXCR4 expression relative to bolus SDF-1 administration; however, the observed effects were transient in both cases, persisting only to a maximum of 3 days post injection. These studies will inform future systematic evaluations of strategies that exploit SDF-1α/CXCR4 signaling for diverse applications.