Composition of lipid nanoparticles for targeted delivery: application to mRNA therapeutics DOI Creative Commons
О. С. Васильева, Olga V. Zaborova,

Bogdan Shmykov

et al.

Frontiers in Pharmacology, Journal Year: 2024, Volume and Issue: 15

Published: Oct. 23, 2024

Today, lipid nanoparticles (LNPs) are some of the main delivery systems for mRNA-based therapeutics. The scope LNP applications in terms RNA is not limited to antiviral vaccines but encompasses anticancer drugs and therapeutics genetic (including rare) diseases. Such widespread use implies high customizability targeted LNPs specific organs tissues. This review addresses vector-free options LNPs, namely influence composition these on their biodistribution. In review, experimental studies examined that focused biodistribution mRNA or encoded protein after administration via mammals. We also performed a comprehensive analysis individual lipids’ functional groups ensure desired organs. These data will allow us outline prospects further optimization compositions

Language: Английский

Composition of lipid nanoparticles for targeted delivery: application to mRNA therapeutics DOI Creative Commons
О. С. Васильева, Olga V. Zaborova,

Bogdan Shmykov

et al.

Frontiers in Pharmacology, Journal Year: 2024, Volume and Issue: 15

Published: Oct. 23, 2024

Today, lipid nanoparticles (LNPs) are some of the main delivery systems for mRNA-based therapeutics. The scope LNP applications in terms RNA is not limited to antiviral vaccines but encompasses anticancer drugs and therapeutics genetic (including rare) diseases. Such widespread use implies high customizability targeted LNPs specific organs tissues. This review addresses vector-free options LNPs, namely influence composition these on their biodistribution. In review, experimental studies examined that focused biodistribution mRNA or encoded protein after administration via mammals. We also performed a comprehensive analysis individual lipids’ functional groups ensure desired organs. These data will allow us outline prospects further optimization compositions

Language: Английский

Citations

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