Exploring Cellular Interactions of Liposomes Using Protein Corona Fingerprints and Physicochemical Properties

TLDR

Liposome fate and transport in biofluids depend on their synthetic and biological identity, including protein corona characteristics. This study examines how physicochemical and protein corona properties of diverse liposomal formulations influence their cellular interactions using QSAR models. Linear and nonlinear QSAR models were applied to correlate liposome physicochemical attributes and protein corona fingerprints with cellular uptake and viability. The analysis identified key parameters governing liposome uptake and viability in PC3 and HeLa cells, and the resulting QSARs can inform targeted liposomal drug delivery.

Abstract

To control liposomes fate and transport upon contact with biofluids, it is essential to consider several parameters affecting the synthetic and biological identity of liposomes, as well as liposome-protein corona (PC) aspects. As a powerful tool in this data mining adventure, quantitative structure-activity relationship (QSAR) approach is used to correlate physicochemical properties of liposomes and their PC fingerprints to multiple quantified biological responses. In the present study, the relationship between cellular interactions of a set of structurally diverse liposomal formulations and their physicochemical and PC properties has been investigated via linear and nonlinear QSAR models. Significant parameters affecting cellular uptake and cell viability of liposomes in two important cancer cell lines (PC3 and HeLa) have been identified. The developed QSARs have the capacity to be implemented in advanced targeted delivery of liposomal drugs.