Issue 42, 2024

Nanodrug delivery system constructed with dopamine-based functional molecules for efficient targeting of tumour cells

Abstract

In order to enhance the water solubility of chemotherapeutic drugs, improve their biodistribution and narrow therapeutic window, two molecules of PDAO and FA-DAO with acid-sensitive Schiff base structure were designed and synthesized based on dopamine linolenate (DAO) in this paper, and subsequently drug-loaded nanoparticles were prepared by simply mixing of them with curcumin (Cur) in aqueous solution. These nanoparticles can release a large amount of the drug in response to pH changes in the tumor microenvironment through passive targeting. The cumulative rate of drug release can reach up to 70% within 24 hours under pH = 5.0 conditions as a release medium. Furthermore, the drug-carrying nanoparticles achieve active targeting through folic acid (FA) on their surface, which further enhances targeting efficiency. The inhibitory effect of drug-loaded nanoparticles was nearly 8-fold enhanced than that of its loaded Active Pharmaceutical Ingredient (API) Cur on HepG2 cell lines at the administration concentration of 6.25 μg mL−1. In conclusion, the nanoparticles prepared in this work improved the aqueous solubility of the loaded drug Cur, where passive targeting provided by pH-responsiveness and active targeting provided by FA endowed the loaded drug Cur with highly efficient targeting of HepG2 cell lines.

Graphical abstract: Nanodrug delivery system constructed with dopamine-based functional molecules for efficient targeting of tumour cells

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Article information

Article type
Paper
Submitted
04 Aug 2024
Accepted
21 Sep 2024
First published
30 Sep 2024
This article is Open Access
Creative Commons BY license

RSC Adv., 2024,14, 31210-31216

Nanodrug delivery system constructed with dopamine-based functional molecules for efficient targeting of tumour cells

Z. Chen, J. Dai, N. Fu, Z. Yan, Q. Zheng and Y. Liu, RSC Adv., 2024, 14, 31210 DOI: 10.1039/D4RA05654J

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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