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Modulation of lipid vesicle-membrane interactions by cholesterol.
Chng, Choon-Peng; Hsia, K Jimmy; Huang, Changjin.
Affiliation
  • Chng CP; School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore. kjhsia@ntu.edu.sg.
  • Hsia KJ; School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore. kjhsia@ntu.edu.sg.
  • Huang C; School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459, Republic of Singapore.
Soft Matter ; 18(40): 7752-7761, 2022 Oct 19.
Article in En | MEDLINE | ID: mdl-36093613
ABSTRACT
Nanoscale lipid vesicles are attractive vehicles for drug delivery. Although often considered as soft nanoparticles in terms of mechanical deformability, the fluidic nature of the lipid membrane makes their interactions with another lipid membrane much more complex. Cholesterol is a key molecule that not only effectively stiffens lipid bilayer membranes but also induces membrane fusion. As such, how cholesterol modulates lipid vesicle-membrane interactions during endocytosis remains elusive. Through systematic molecular dynamics simulations, we find that membrane stiffening upon incorporating cholesterol reduces vesicle wrapping by a planar membrane, hindering endocytosis. Membrane fusion is also accelerated when either the vesicle or the planar membrane is cholesterol-rich, but fusion becomes minimal when both the vesicle and planar membrane are cholesterol-rich. This study provides insights into vesicle-membrane interactions in the presence of cholesterol and enlightens how cholesterol may be used to direct the cellular uptake pathways of nanoliposomes.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cholesterol / Lipid Bilayers Language: En Journal: Soft Matter Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cholesterol / Lipid Bilayers Language: En Journal: Soft Matter Year: 2022 Document type: Article