Recent Advances of Fe(III)/Fe(II)-MPNs in Biomedical Applications

Pharmaceutics. 2023 Apr 23;15(5):1323. doi: 10.3390/pharmaceutics15051323.

Abstract

Metal-phenolic networks (MPNs) are a new type of nanomaterial self-assembled by metal ions and polyphenols that have been developed rapidly in recent decades. They have been widely investigated, in the biomedical field, for their environmental friendliness, high quality, good bio-adhesiveness, and bio-compatibility, playing a crucial role in tumor treatment. As the most common subclass of the MPNs family, Fe-based MPNs are most frequently used in chemodynamic therapy (CDT) and phototherapy (PTT), where they are often used as nanocoatings to encapsulate drugs, as well as good Fenton reagents and photosensitizers to improve tumor therapeutic efficiency substantially. In this review, strategies for preparing various types of Fe-based MPNs are first summarized. We highlight the advantages of Fe-based MPNs under the different species of polyphenol ligands for their application in tumor treatments. Finally, some current problems and challenges of Fe-based MPNs, along with a future perspective on biomedical applications, are discussed.

Keywords: CDT; Fe-based MPN; Fenton reaction; PTT; tumor treatment.

Publication types

  • Review

Grants and funding

This research was partially funded by the Key Scientific Research Project of Colleges and Universities of Education Department of Guangdong Province (20202ZDZX2046 and 2021ZDZX2052, 2022ZDZX2022), Guangdong Medical University Research Project (1019k2022003), the open research fund of Songshan Lake Materials Laboratory (2022SLABFN12), and Special Funds for Scientific Technological Innovation of Undergraduates in Guangdong Province (pdjh2021b0227, pdjh2021a0218, pdjh2022a0216, pdjh2022b0225 and pdjh2022b0224), National Innovation and Entrepreneurship training program for college students (202210571001; 202210571004; 202210571012; S202210571074; S202210571092; S202210571093; S202210571102 and S202210571109), Guangdong Basic and Applied Basic Research Foundation (2021A1515011616), Featured Innovation Project of Guangdong Province (2022KTSCX045). This research was partially supported by the China Scholarship Council (202108440263).