Issue 23, 2022

Construction and evaluation of detachable bone-targeting MOF carriers for the delivery of proteasome inhibitors

Abstract

Tumor bone metastasis is an important cause of tumor recurrence and death. Although bone-targeting nanoparticles decorated with targeting ligands have shown good affinity for bone tissues with the properties of adhesion to the bone matrix, it is not easy to detach from the surface of the bone matrix in the tumor-bone microenvironment, attributed to the robust coordination force between the targeting ligands, such as bisphosphates with bone-deposited calcium. This may hinder the transport of nanoparticles from bone tissue to bone metastatic tumors. In this research, we designed a bone-targeting nanocarrier with detachable bone-targeting character for the therapy of bone metastases. The nanoparticles were constructed by using ZIF-8 and bone-targeting and MMP enzyme sensitive polypeptide-modified hyaluronic acid as a carrier and proteasome inhibitor Bortezomib (BTZ) as cargo. The results show that the constructed D8-M3-HA-ZIF8@BTZ nanoparticles possessed several favorable properties such as good colloidal stability, acid-sensitive drug release, D8 peptide mediated bone targeting and MMP enzyme-responsive desorption. Besides, nanoparticle endocytosis and cytotoxicity were enhanced through HA-mediated targeting to CD44 over-expressing tumor cells. Altogether, this study provides a potential cascade targeting strategy for improving the delivery effects of bone targeted nanoparticles for the delivery of proteasome inhibitors.

Graphical abstract: Construction and evaluation of detachable bone-targeting MOF carriers for the delivery of proteasome inhibitors

Article information

Article type
Paper
Submitted
04 Jan 2022
Accepted
02 Apr 2022
First published
16 May 2022
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2022,12, 14707-14715

Construction and evaluation of detachable bone-targeting MOF carriers for the delivery of proteasome inhibitors

H. Yang, Z. Yu, S. Ji, J. Yan, L. Han, Y. Liu, Y. Wang, Y. Niu, Q. Huo and M. Xu, RSC Adv., 2022, 12, 14707 DOI: 10.1039/D2RA00051B

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