4.7 Article

Delivery of pDNA to the Lung by Lipopolyplexes Using N-Lauroylsarcosine and Effect on the Pulmonary Fibrosis

期刊

PHARMACEUTICS
卷 13, 期 11, 页码 -

出版社

MDPI
DOI: 10.3390/pharmaceutics13111983

关键词

gene delivery; shRNA; nanoparticles; pulmonary fibrosis; N-lauroylsarcosine

资金

  1. Uehara Memorial Foundation
  2. Japan Society for the Promotion of Science (JSPS) KAKENHI [JP20K12649]

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The researchers successfully constructed a novel lung-targeting lipopolyplex and optimized it for delivering TGF-beta 1 shRNA to treat pulmonary fibrosis, achieving significant therapeutic effects in a mouse model.
In a previous study, we constructed a lung-targeting lipopolyplex containing polyethyleneimine (PEI), 1,2-di-O-octadecenyl-3-trimethylammonium propane (DOTMA), and N-lauroylsarcosine (LS). The lipopolyplex exhibited an extremely high gene expression in the lung after intravenous administration. Here, we optimized the lipopolyplex and used it to deliver a TGF-beta 1 shRNA to treat refractory pulmonary fibrosis. We constructed several lipopolyplexes with pDNA, various cationic polymers, cationic lipids, and LS to select the most effective formulation. Then, the pDNA encoding shRNA against mouse TGF-beta 1 was encapsulated in the lipopolyplex and injected into mice with bleomycin-induced pulmonary fibrosis. After optimizing the lipopolyplex, dendrigraft poly-L-lysine (DGL) and DOTMA were selected as the appropriate cationic polymer and lipid, respectively. The lipopolyplex was constructed with a pDNA, DGL, DOTMA, and LS charge ratio of 1:2:2:4 showed the highest gene expression. After intravenous administration of the lipopolyplex, the highest gene expression was observed in the lung. In the in vitro experiment, the lipopolyplex delivered pDNA into the cells via endocytosis. As a result, the lipopolyplex containing pDNA encoding TGF-beta 1 shRNA significantly decreased hydroxyproline in the pulmonary fibrosis model mice. We have successfully inhibited pulmonary fibrosis using a novel lung-targeting lipopolyplex.

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