A Multiscale Study of Phosphorylcholine Driven Cellular Phenotypic Targeting.
A Multiscale Study of Phosphorylcholine Driven Cellular Phenotypic Targeting.
复制标题
磷酸胆碱驱动的细胞表型靶向的多尺度研究。
DOI:
10.1021/acscentsci.2c00146
复制
发表时间:
2022-07-27
影响因子:
18.2
通讯作者:
Battaglia, Giuseppe
中科院分区:
文献类型:
--
作者:
Acosta-Gutierrez, Silvia;Matias, Diana;Avila-Olias, Milagros;Gouveia, Virginia M.;Scarpa, Edoardo;Forth, Joe;Contini, Claudia;Duro-Castano, Aroa;Rizzello, Loris;Battaglia, Giuseppe
Phenotypic targeting requires the ability of the drug delivery system to discriminate over cell populations expressing a particular receptor combination. Such selectivity control can be achieved using multiplexed-multivalent carriers often decorated with multiple ligands. Here, we demonstrate that the promiscuity of a single ligand can be leveraged to create multiplexed-multivalent carriers achieving phenotypic targeting. We show how the cellular uptake of poly(2-(methacryloyloxy)ethyl phosphorylcholine)-poly(2-(diisopropylamino)ethyl methacry-late) (PMPC-PDPA) polymersomes varies depending on the receptor expression among different cells. We investigate the PMPC–PDPA polymersome insertion at the single chain/receptor level using all-atom molecular modeling. We propose a theoretical statistical mechanics-based model for polymersome–cell association that explicitly considers the interaction of the polymersome with the cell glycocalyx shedding light on its effect on the polymersome binding. We validate our model experimentally and show that the binding energy is a nonlinear function, allowing us to tune the interaction by varying the radius and degree of polymerization. Finally, we show that PMPC–PDPA polymersomes can be used to target monocytes in vivo due to their promiscuous interaction with SRB1, CD36, and CD81. A multiscale study is reported showing how to leverage a promiscuous ligand to achieve phenotypic targeting in vivo and the importance of explicitly taking into account the cell glycocalyx in nanomedicines design.
登录
查看更多内容
影响因子:
8.6
作者:
Angioletti-Uberti, Stefano
通讯作者:
Angioletti-Uberti, Stefano
影响因子:
5.4
作者:
Gouveia, Virginia M.;Rizzello, Loris;Battaglia, Giuseppe
通讯作者:
Battaglia, Giuseppe
影响因子:
46.9
作者:
Fredriksson, S;Gullberg, M;Landegren, U
通讯作者:
Landegren, U
影响因子:
15
作者:
Kitov, PI;Bundle, DR
通讯作者:
Bundle, DR
影响因子:
17.1
作者:
Fenaroli, Federico;Robertson, James D.;Rizzello, Loris
通讯作者:
Rizzello, Loris