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

• Published in: ACS nano Vol. 10; no. 3; pp. 3723 - 3737
• Main Authors: Bigdeli, Arafeh, Palchetti, Sara, Pozzi, Daniela, Hormozi-Nezhad, Mohammad Reza, Baldelli Bombelli, Francesca, Caracciolo, Giulio, Mahmoudi, Morteza
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 22.03.2016
• Subjects: Cell Line, Tumor; Cell Survival; Drug Delivery Systems; HeLa Cells; Humans; Liposomes - chemistry; Liposomes - metabolism; Liposomes - pharmacokinetics; Models, Molecular; Neoplasms - metabolism; Peptide Mapping; Protein Corona - analysis; Protein Corona - metabolism; Quantitative Structure-Activity Relationship; cancer; cell viability; liposomes; QSAR; protein corona; cellular uptake
• ISSN: 1936-0851; 1936-086X
• DOI: 10.1021/acsnano.6b00261

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.