Piperazine-derived lipid nanoparticles deliver mRNA to immune cells in vivo.
Piperazine-derived lipid nanoparticles deliver mRNA to immune cells in vivo.
复制标题
哌嗪衍生的脂质纳米颗粒在体内将mRNA传递给免疫细胞。
DOI:
10.1038/s41467-022-32281-5
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发表时间:
2022-08-15
影响因子:
16.6
通讯作者:
Dahlman, James E.
中科院分区:
文献类型:
--
作者:
Ni, Huanzhen;Hatit, Marine Z. C.;Zhao, Kun;Loughrey, David;Lokugamage, Melissa P.;Peck, Hannah E.;Del Cid, Ada;Muralidharan, Abinaya;Kim, YongTae;Santangelo, Philip J.;Dahlman, James E.
In humans, lipid nanoparticles (LNPs) have safely delivered therapeutic RNA to hepatocytes after systemic administration and to antigen-presenting cells after intramuscular injection. However, systemic RNA delivery to non-hepatocytes remains challenging, especially without targeting ligands such as antibodies, peptides, or aptamers. Here we report that piperazine-containing ionizable lipids (Pi-Lipids) preferentially deliver mRNA to immune cells in vivo without targeting ligands. After synthesizing and characterizing Pi-Lipids, we use high-throughput DNA barcoding to quantify how 65 chemically distinct LNPs functionally delivered mRNA (i.e., mRNA translated into functional, gene-editing protein) in 14 cell types directly in vivo. By analyzing the relationships between lipid structure and cellular targeting, we identify lipid traits that increase delivery in vivo. In addition, we characterize Pi-A10, an LNP that preferentially delivers mRNA to the liver and splenic immune cells at the clinically relevant dose of 0.3 mg/kg. These data demonstrate that high-throughput in vivo studies can identify nanoparticles with natural non-hepatocyte tropism and support the hypothesis that lipids with bioactive small-molecule motifs can deliver mRNA in vivo. Next-generation lipid nanoparticles that target non-hepatocytes could be important clinical tools. Using in vivo DNA barcoding, the authors identify piperazine-containing lipids deliver mRNA to immune cells without targeting ligands.
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影响因子:
6.6
作者:
FULTON, A;NORMAN, T;BURROWS, GD
通讯作者:
BURROWS, GD
影响因子:
38.3
作者:
Dammes N;Goldsmith M;Ramishetti S;Dearling JLJ;Veiga N;Packard AB;Peer D
通讯作者:
Peer D
影响因子:
158.5
作者:
Balwani, Manisha;Sardh, Eliane;Gouya, Laurent
通讯作者:
Gouya, Laurent
影响因子:
10.8
作者:
Kauffman, Kevin J.;Dorkin, J. Robert;Anderson, Daniel G.
通讯作者:
Anderson, Daniel G.
影响因子:
15
作者:
Chen, Delai;Love, Kevin T.;Anderson, Daniel G.
通讯作者:
Anderson, Daniel G.