Modeling Interactions between Liposomes and Hydrophobic Nanosheets
Source abstract
Abstract
2D nanomaterials could cause structural disruption and cytotoxic effects to cells, which greatly challenges their promising biomedical applications including biosensing, bioimaging, and drug delivery. Here, the physical and mechanical interaction between lipid liposomes and hydrophobic nanosheets is studied utilizing coarse‐grained (CG) molecular dynamics (MD) simulations. The simulations reveal a variety of characteristic interaction morphologies that depend on the size and the orientation of nanosheets. Dynamic and thermodynamic analyses on the morphologic evolution provide insights into molecular motions such as “nanosheet rotation,” “lipid extraction,” “lipid flip‐flop,” and “lipid spreading.” Driven by these molecular motions, hydrophobic nanosheets cause morphologic changes of liposomes. The lipid bilayer structure can be corrugated, and the overall liposome sphere can be split or collapsed by large nanosheets. In addition, nanosheets embedded into lipid bilayers greatly weaken the fluidity of lipids, and this effect can be cumulatively enhanced as nanosheets continuously intrude. These results could facilitate molecular‐level understanding on the cytotoxicity of nanomaterials, and help future nanotoxicology studies associating computational modeling with experiments.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Lipid Membrane Structure and Behavior · Nanoparticle-Based Drug Delivery · Graphene and Nanomaterials Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Materials Science and Engineering City University of Hong Kong Hong Kong China
City University of Hong Kong Shenzhen Research Institute Shenzhen 518057 China
Center for Advanced Nuclear Safety and Sustainable Development City University of Hong Kong Hong Kong China
Funding
National Natural Science Foundation of China
References (68)
Show source-provided references
1. 10.1002/smll.20090168010.1002/smll.200901680 ↗
2. 10.1021/cr300335p10.1021/cr300335p ↗
3. 10.1088/2053-1583/2/3/03200410.1088/2053-1583/2/3/032004 ↗
4. 10.1039/c2nr31040f10.1039/c2nr31040f ↗
5. 10.1016/j.mattod.2013.09.00410.1016/j.mattod.2013.09.004 ↗
6. 10.1038/nature1145810.1038/nature11458 ↗
7. 10.1021/ar300159f10.1021/ar300159f ↗
8. 10.1039/C4CS00300D10.1039/C4CS00300D ↗
9. 10.1002/smll.20160184110.1002/smll.201601841 ↗
10. 10.1016/j.carbon.2011.05.05610.1016/j.carbon.2011.05.056 ↗
11. 10.1021/nn204229f10.1021/nn204229f ↗
12. 10.1186/s12989-016-0168-y10.1186/s12989-016-0168-y ↗
13. 10.1021/nl202515a10.1021/nl202515a ↗
14. 10.1002/adma.20120370010.1002/adma.201203700 ↗
15. 10.1021/tx400385x10.1021/tx400385x ↗
16. 10.1039/C5CS00914F10.1039/C5CS00914F ↗
17. 10.1021/jacs.5b1141110.1021/jacs.5b11411 ↗
18. 10.1021/acsnano.5b0206710.1021/acsnano.5b02067 ↗
19. 10.1002/smll.20170121010.1002/smll.201701210 ↗
20. 10.1016/j.biomaterials.2012.07.04010.1016/j.biomaterials.2012.07.040 ↗
21. 10.1021/nn100717610.1021/nn1007176 ↗
22. 10.1021/acsami.5b0106910.1021/acsami.5b01069 ↗
23. 10.1002/smll.20130323410.1002/smll.201303234 ↗
24. 10.1021/nn506660610.1021/nn5066606 ↗
25. 10.1021/nn200021j10.1021/nn200021j ↗
26. 10.1021/acsnano.6b0053910.1021/acsnano.6b00539 ↗
27. 10.1002/smll.20110239310.1002/smll.201102393 ↗
28. 10.1002/smll.20140170610.1002/smll.201401706 ↗
29. 10.1021/acsnano.5b0740910.1021/acsnano.5b07409 ↗
30. 10.1021/nn101097v10.1021/nn101097v ↗
31. 10.1073/pnas.122227611010.1073/pnas.1222276110 ↗
32. 10.1021/ct500477k10.1021/ct500477k ↗
33. 10.1021/acsami.5b0687610.1021/acsami.5b06876 ↗
34. 10.1021/tx200339h10.1021/tx200339h ↗
35. 10.1016/j.str.2009.09.00110.1016/j.str.2009.09.001 ↗
36. 10.1039/C6TB03310E10.1039/C6TB03310E ↗
37. 10.1016/j.biomaterials.2013.02.04710.1016/j.biomaterials.2013.02.047 ↗
38. 10.1021/am508938u10.1021/am508938u ↗
39. 10.1016/j.biomaterials.2014.03.08710.1016/j.biomaterials.2014.03.087 ↗
40. 10.1021/acs.jpcc.5b1063510.1021/acs.jpcc.5b10635 ↗
41. 10.1039/c3ra40392k10.1039/c3ra40392k ↗
42. 10.1021/acsnano.5b0703610.1021/acsnano.5b07036 ↗
43. 10.1038/nnano.2013.12510.1038/nnano.2013.125 ↗
44. 10.1021/acs.jpcc.6b1054810.1021/acs.jpcc.6b10548 ↗
45. 10.1021/acsnano.7b0700510.1021/acsnano.7b07005 ↗
46. 10.1038/srep4276710.1038/srep42767 ↗
47. 10.1021/acs.jpcb.5b1033010.1021/acs.jpcb.5b10330 ↗
48. 10.1039/C7CP07136A10.1039/C7CP07136A ↗
49. Zhao L. · J. Nanomater. · 2016 · 2016 · 6709764
50. 10.1021/jp071097f10.1021/jp071097f ↗
51. 10.1021/nn901577810.1021/nn9015778 ↗
52. 10.1021/acsnano.7b0909510.1021/acsnano.7b09095 ↗
53. 10.1021/jp505341910.1021/jp5053419 ↗
54. 10.1002/chem.20170419210.1002/chem.201704192 ↗
55. 10.1016/j.carbon.2009.12.06110.1016/j.carbon.2009.12.061 ↗
56. 10.1039/C4NR06170E10.1039/C4NR06170E ↗
57. 10.1021/acsbiomaterials.6b0039010.1021/acsbiomaterials.6b00390 ↗
58. 10.1021/acsnano.6b0735210.1021/acsnano.6b07352 ↗
59. 10.1021/acs.langmuir.6b0336410.1021/acs.langmuir.6b03364 ↗
60. 10.1038/nnano.2008.13010.1038/nnano.2008.130 ↗
61. 10.1073/pnas.171099611410.1073/pnas.1710996114 ↗
62. 10.1016/j.softx.2015.06.00110.1016/j.softx.2015.06.001 ↗
63. 10.1021/acsnano.6b0543410.1021/acsnano.6b05434 ↗
64. 10.1016/0021-9991(77)90121-810.1016/0021-9991(77)90121-8 ↗
65. 10.1016/0010-4655(95)00053-I10.1016/0010-4655(95)00053-I ↗
66. 10.1002/jcc.54016110410.1002/jcc.540161104 ↗
67. A.Grossfield WHAM: The Weighted Histogram Analysis Method version 2.0.9.1 http://membrane.urmc.rochester.edu/content/wham(accessed: December2017).
68. 10.1016/0263-7855(96)00018-510.1016/0263-7855(96)00018-5 ↗