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



Bigdeli A1 ; Palchetti S2 ; Pozzi D2 ; Hormozinezhad MR1 ; Baldelli Bombelli F3 ; Caracciolo G2 ; Mahmoudi M4, 5
Authors
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Authors Affiliations
  1. 1. Department of Chemistry, Sharif University of Technology, Tehran, 1113658639, Iran
  2. 2. Department of Molecular Medicine, Sapienza University of Rome, Rome, 00185, Italy
  3. 3. Department of Chemistry, Materials and Chemical Engineering Giulio Natta, Politecnico di Milano, Milan, 20133, Italy
  4. 4. Nanotechnology Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, 1316943551, Iran
  5. 5. Stanford Cardiovascular Institute, Division of Cardiovascular Medicine, Stanford University, School of Medicine, Stanford, 94305, CA, United States

Source: ACS Nano Published:2016


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. © 2016 American Chemical Society.
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