Effect of size and pH-sensitivity of liposomes on cellular uptake pathways and pharmacokinetics of encapsulated gemcitabine.
Mingtan TangSasi Bhushan YarragudiPatrick PanKaiyun YangManju KanamalaZimei WuPublished in: Journal of liposome research (2024)
To enhance cytoplasmic delivery efficiency, pH-sensitive liposomes (PSL) have been proposed as a novel strategy. To facilitate clinical translation, this study aims to understand the impact of both size and pH-sensitivity on cellular uptake pathways, intracellular trafficking and pharmacokinetics of liposomes. The large liposomes (130-160 nm) were prepared using thin-film hydration method, while small liposomes (∼60 nm) were fabricated using microfluidics, for both PSL and non-pH-sensitive liposomes (NPSL). Cellular uptake pathways and intracellular trafficking was investigated through confocal imaging with aid of various endocytosis inhibitors. Intracellular gemcitabine delivery by various liposomal formulations was quantified using HPLC, and the cytotoxicity was assessed via cell viability assays. Pharmacokinetics of gemcitabine loaded in various liposomes was evaluated in rats following intravenous administration. Larger liposomes had a higher loading capacity for hydrophilic gemcitabine (7% vs 4%). Small PSL exhibited superior cellular uptake compared to large PSL or NPSLs. Moreover, the alkalization of endosomes significantly attenuated the cellular uptake of PSL. Large liposomes (PSL and NPSL) predominantly entered cells via clathrin-dependent pathway, whereas small liposomes partially utilized caveolae-dependent pathway. However, the long circulation of the liposomes, as measured by the encapsulated gemcitabine, was compromised by both pH-sensitivity and size reduction (9.5 h vs 5.3 h). Despite this drawback, our results indicate that small PSL holds promise as vectors for the next generation of liposomal nanomedicine, owing to their superior cytoplasmic delivery efficiency.
Keyphrases
- drug delivery
- drug release
- cancer therapy
- locally advanced
- photodynamic therapy
- mass spectrometry
- machine learning
- high resolution
- optical coherence tomography
- high dose
- artificial intelligence
- deep learning
- liquid chromatography
- african american
- tandem mass spectrometry
- solid phase extraction
- pi k akt
- raman spectroscopy
- high performance liquid chromatography