Mixed Cationic Liposomes Based on  L -Amino Acids As Efficient Delivery Systems of Therapeutic Molecules into Cells

Z. G. Denieva; Дениева З. Г.; O. O. Koloskova; Колоскова О. О.; A. M. Gileva; Гилева А. М.; U. A. Budanova; Буданова У. А.; Yu. L. Sebyakin; Себякин Ю. Л.

doi:10.31857/S0233475523030052

Mixed Cationic Liposomes Based on L-Amino Acids As Efficient Delivery Systems of Therapeutic Molecules into Cells

Authors: Denieva Z.G.¹, Koloskova O.O.², Gileva A.M.³, Budanova U.A.⁴, Sebyakin Y.L.⁴
Affiliations:
1. Frumkin Institute of physical chemistry and electrochemistry, Russian Academy Of Sciences
2. NRC Institute of Immunology FMBA of Russia
3. Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences
4. MIREA – Russian Technology University (Lomonosov Institute of Fine Chemical Technology)
Issue: Vol 40, No 3 (2023)
Pages: 203-216
Section: Articles
URL: https://rjmseer.com/0233-4755/article/view/667362
DOI: https://doi.org/10.31857/S0233475523030052
EDN: https://elibrary.ru/FDQFOC
ID: 667362

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Abstract
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Abstract

This work aimed to produce mixed liposomes based on natural amino acids as vehicles for delivery of anticancer drugs and nucleic acids. Liposomes were formed from cationic lipids based on L-alanine and L-serine, a kerase-forming lipid based on L-ornithine, and phospholipids phosphatidylcholine (PC) or 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE). For the developed agents, particle size, zeta potential, and stability were determined, and the biological activity was studied on the MCF-7 and HEK 293 cell lines. Liposomes based on L-serine demonstrated the ability to accumulate in the endoplasmic reticulum of cells within 1 h, and their transfection activity significantly exceeded that of the commercial drug Lipofectamine-2000. At the same time, the proposed system had a slight toxic effect (IC₅₀, 0.475 mg/mL and the safe working concentration, 0.24 mg/mL).

Keywords

cationic amphiphiles, cerasoma-forming lipids, amino acid derivatives, targeted delivery, anticancer agents

References

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