Tuning the Emulsion Properties Influences the Size of Poly(Caprolactone) Particles for Drug Delivery Applications.
Ashbey N ManningClaire E RowlandsHope SaindonBrittany E GivensPublished in: The AAPS journal (2023)
Advances in drug delivery have been accelerated with the addition of polymeric drug carriers. Direct delivery to a target site is a promising step in developing effective drug and gene therapies to treat disease. The efficacy of these drug carriers heavily relies on cell uptake without compromising critical cellular processes that promote cell viability. Drug release from biodegradable polymers is mediated largely by polymer degradation, and therefore the rate of polymer degradation dictates the feasibility of drug delivery applications. Traditionally, poly(caprolactone) (PCL) has only been used in long-term biomedical applications because the degradation time is much slower than other polymers. However, the biocompatibility of this polymer and the potential for longer delivery windows renders it a promising polymer candidate for drug delivery. In this work, we outline sixteen emulsion solvent evaporation preparation methods for PCL nanoparticles and microparticles to develop particles between 300 nm and 1.7 μm and with zeta potentials of -1.8 mV. We further investigated particles in a size range suitable for systemic tumor delivery and inhaled aerosol delivery to determine cell biocompatibility with the polymer in lung adenocarcinoma, endometrial adenocarcinoma, and human embryonic kidney cells. We determined these particles aren't detrimental to cell viability below particle monolayer coverage atop cells and therefore these formulations hold promise for the next stage of development as sustained-release drug delivery carriers.
Keyphrases
- drug delivery
- cancer therapy
- induced apoptosis
- drug release
- cell cycle arrest
- single cell
- drug induced
- adverse drug
- endothelial cells
- cystic fibrosis
- endoplasmic reticulum stress
- cell death
- genome wide
- emergency department
- stem cells
- oxidative stress
- signaling pathway
- big data
- machine learning
- photodynamic therapy
- mass spectrometry
- endometrial cancer
- copy number
- deep learning
- molecularly imprinted
- high resolution
- artificial intelligence
- human health