Cited by 157Nanoparticle-Based Drug DeliveryComputational Drug Discovery MethodsLipid Membrane Structure and Behavior

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

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Bigdeli, Arafeh, Palchetti, Sara, Pozzi, Daniela, Hormozi-Nezhad, Mohammad Reza, Baldelli Bombelli, Francesca, Caracciolo, Giulio, Mahmoudi, Morteza·2016·ACS Nano

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.

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Registry

Crossref · 10.1021/acsnano.6b00261

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36 of 36 references verified0 citation errors · 0 not checkable

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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.”

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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
Venue
ACS Nano
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
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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