Lipid extraction mediates aggregation of carbon nanospheres in pulmonary surfactant monolayers

Literature Information

Publication Date 2016-06-22
DOI 10.1039/C6CP01957A
Impact Factor 3.676
Authors

Tongtao Yue, Yan Xu, Shixin Li, Xianren Zhang, Fang Huang


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Abstract

Increasing evidence indicates that carbon nanoparticles (CNPs), which mainly originate from incomplete combustion of fossil fuels, have an adverse impact on the respiratory system. Recent in vivo experiments have shown that the pulmonary toxicity of CNPs is attributed to their aggregation in pulmonary surfactant monolayers (PSMs) while the underlying mechanism of aggregation remains unclear. Here, by performing coarse grained molecular dynamics simulations, we demonstrate for the first time that the aggregation of carbon nanospheres (CNSs) in PSMs is in fact size-dependent and mediated by lipid extractions. Upon CNS deposition, neighbouring lipid molecules are extracted from PSMs to cover CNSs from the top side. The extracted lipids induce clustering of CNSs to maximize the CNS–lipid interaction, by forming inverse micelles to wrap the aggregated CNSs cooperatively. The formed CNS clusters perturb the molecule structure of the PSM and thus affect its biofunction on respiration. Our simulations show that during the expiration process, CNSs form clusters that perturb the mechanical properties of the PSM in a manner depending on the CNS size. With deep inspiration, a high concentration of large CNSs may induce PSM rupture and thus have a potential impact on its biophysical properties.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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