Exploring Cellular Interactions of Liposomes Using Protein Corona Fingerprints and Physicochemical Properties
Open accessAbstract
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.
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Plasma protein absorption on liposomal surface is inevitable even in the presence of PEG.
“Unfortunately, plasma protein absorption on liposomal surface is inevitable even in the presence of PEG8,48,49.”
From Brain-targeted drug delivery by manipulating protein corona functions (2019) · cites this paper as [49]
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- Authors
- Bigdeli, A., Palchetti, S., Pozzi, D., Hormozi-Nezhad, M. R., Baldelli Bombelli, F., Caracciolo, G., & Mahmoudi, M.
- Affiliations
- Sharif University of Technology (IR)
- Sapienza University of Rome (IT)
- Department of Chemistry, Materials and Chemical Engineering Giulio Natta, Politecnico di Milano, Milan 20133, Italy
- Stanford Medicine (US)
- Corresponding author
- Caracciolo, Giulio
- Mahmoudi, Morteza
- ORCID
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-02-23
- Volume
- 10
- Issue
- 3
- Pages
- 3723-3737
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2280549490
- Cited by
- 157
- References
- 36
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 7 · 2023: 7 · 2022: 15 · 2021: 14 · 2020: 26 · 2019: 20 · 2018: 21 · 2017: 21 · 2016: 11
- FWCI
- 9.94
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- Locations
- ACS Nano (publishedVersion)
- PubMed (publishedVersion)
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, other-oa)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Funders
- Ministero dell?Istruzione, dell?Universit? e della Ricerca (RBFR08TLPO)
- Tehran University of Medical Sciences and Health Services (94-04-33-31032)
- Topics
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Lipid Membrane Structure and Behavior
- Keywords
- liposomes, protein corona, liposome physicochemical properties, cellular uptake, cell viability, cancer cell lines, PC-3 cells, HeLa cells, targeted drug delivery
- MeSH terms
- Protein Corona, Cell Survival, HeLa Cells, Humans, Liposomes, Models, Molecular, Neoplasms, Peptide Mapping, Drug Delivery Systems, Quantitative Structure-Activity Relationship, Cell Line, Tumor
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