JOURNAL ARTICLE

Pyruvate-conjugation of PEGylated liposomes for targeted drug delivery to retinal photoreceptors

Abstract

Despite several promising candidates, there is a paucity of drug treatments available for patients suffering from retinal diseases. An important reason for this is the lack of suitable delivery systems that can achieve sufficiently high drug uptake in the retina and its photoreceptors. A promising and versatile method for drug delivery to specific cell types involves transporter-targeted liposomes, i.e., liposomes surface-coated with substrates for transporter proteins highly expressed on the target cell. We identified strong lactate transporter (monocarboxylate transporter, MCT) expression on photoreceptors as a potential target for drug delivery vehicles. To evaluate MCT suitability for drug targeting, we used PEG-coated liposomes and conjugated these with different monocarboxylates, including lactate, pyruvate, and cysteine. Monocarboxylate-conjugated and dye-loaded liposomes were tested on both human-derived cell-lines and murine retinal explant cultures. We found that liposomes conjugated with pyruvate consistently displayed higher cell uptake than unconjugated liposomes or liposomes conjugated with lactate or cysteine. Pharmacological inhibition of MCT1 and MCT2 reduced internalization, suggesting an MCT-dependent uptake mechanism. Notably, pyruvate-conjugated liposomes loaded with the drug candidate CN04 reduced photoreceptor cell death in the murine rd1 retinal degeneration model while free drug solutions could not achieve the same therapeutic effect. Our study thus highlights pyruvate-conjugated liposomes as a promising system for drug delivery to retinal photoreceptors, as well as other neuronal cell types displaying high expression of MCT-type proteins.

Keywords:
Liposome Drug delivery Transporter Retinal Chemistry Targeted drug delivery Internalization Monocarboxylate transporter Biochemistry Drug Cell biology Cell Pharmacology Biology Biophysics

Metrics

8
Cited By
1.27
FWCI (Field Weighted Citation Impact)
57
Refs
0.71
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Nanoplatforms for cancer theranostics
Physical Sciences →  Engineering →  Biomedical Engineering
RNA Interference and Gene Delivery
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Nanoparticle-Based Drug Delivery
Physical Sciences →  Materials Science →  Biomaterials

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