title: Membrane partitioning of anionic, ligand-coated nanoparticles is accompanied by ligand snorkeling, local disordering, and cholesterol depletion.
abstract: Intracellular uptake of nanoparticles (NPs) may induce phase transitions, restructuring, stretching, or even complete disruption of the cell membrane. Therefore, NP cytotoxicity assessment requires a thorough understanding of the mechanisms by which these engineered nanostructures interact with the cell membrane. In this study, extensive Coarse-Grained Molecular Dynamics (MD) simulations are performed to investigate the partitioning of an anionic, ligand-decorated NP in model membranes containing dipalmitoylphosphatidylcholine (DPPC) phospholipids and different concentrations of cholesterol. Spontaneous fusion and translocation of the anionic NP is not observed in any of the 10-µs unbiased MD simulations, indicating that longer timescales may be required for such phenomena to occur. This picture is supported by the free energy analysis, revealing a considerable free energy barrier for NP translocation across the lipid bilayer. 5-µs unbiased MD simulations with the NP inserted in the bilayer core reveal that the hydrophobic and hydrophilic ligands of the NP surface rearrange to form optimal contacts with the lipid bilayer, leading to the so-called snorkeling effect. Inside cholesterol-containing bilayers, the NP induces rearrangement of the structure of the lipid bilayer in its vicinity from the liquid-ordered to the liquid phase spanning a distance almost twice its core radius (8-10 nm). Based on the physical insights obtained in this study, we propose a mechanism of cellular anionic NP partitioning, which requires structural rearrangements of both the NP and the bilayer, and conclude that the translocation of anionic NPs through cholesterol-rich membranes must be accompanied by formation of cholesterol-lean regions in the proximity of NPs.
authors.affiliation: Biomedical Research Foundation, Academy of Athens, Athens, Greece.
authors.forename: Paraskevi
authors.initials: P
authors.lastname: Gkeka
authors.affiliation: Computational Science and Engineering Laboratory, Institute of Computational Science, D-MAVT, ETH Zurich, Switzerland.
authors.forename: Panagiotis
authors.initials: P
authors.lastname: Angelikopoulos
authors.affiliation: Institute for Materials and Processes, School of Engineering, The University of Edinburgh, Edinburgh, United Kingdom.
authors.forename: Lev
authors.initials: L
authors.lastname: Sarkisov
authors.affiliation: Biomedical Research Foundation, Academy of Athens, Athens, Greece.
authors.forename: Zoe
authors.initials: Z
authors.lastname: Cournia
mesh_terms: D015060:1,2-Dipalmitoylphosphatidylcholine / Q000737:chemistry; D000838:Anions / Q000737:chemistry*; D002784:Cholesterol / Q000737:chemistry*; D019295:Computational Biology; D008024:Ligands; D008051:Lipid Bilayers / Q000737:chemistry*; D008954:Models, Biological; D053758:Nanoparticles / Q000737:chemistry*
chemical_list: D000838:Anions; D008024:Ligands; D008051:Lipid Bilayers; D015060:1,2-Dipalmitoylphosphatidylcholine; D002784:Cholesterol