Mn(ii)-MOF nanoparticles conjugated with EOB-PEG as high-performance hepatobiliary-specific MRI contrast agents

Abstract

Hepatobiliary magnetic resonance imaging (MRI) is a crucial diagnostic tool for early detection and staging of liver tumors. However, the currently available hepatobiliary-specific contrast agents (CAs), acyclic Gd chelates, suffer from limited kinetic stability and may pose serious toxicity risks to patients with specific functional impairments. In light of these concerns, Mn-based MRI CAs have gained increasing attention as potential alternatives to Gd-based agents, despite challenges in their stability and relaxivity. Herein, we present a novel hepatobiliary-specific CA in the form of Mn(II)-based metal–organic framework (MOF) nanoparticles conjugated with ethoxybenzyl-poly(ethylene glycol) (EOB-PEG) ligands. These nanoparticles exhibit significantly higher relaxivity (r1 = 66.4 mM−1 s−1 in 4.5% HSA) compared to a commercial hepatobiliary-specific CA, Gd-EOB-DTPA (r1 = 11.2 mM−1 s−1 in 4.5% HSA), along with excellent biocompatibility. This enables them to achieve equivalent imaging contrast with a substantially lower metal concentration (0.025 mmol Mn2+ per kg BW vs. 0.1 mmol Gd3+ per kg BW for the commercial Gd-EOB-DTPA). Furthermore, our MOF-based nanoparticles demonstrate precise diagnostic capabilities in vivo, as evidenced by their performance in orthotopic HCC mouse models. This progress holds great promise for the development of advanced hepatobiliary-specific CAs, which could significantly enhance early liver cancer diagnosis by providing clearer and safer imaging options.

Graphical abstract: Mn(ii)-MOF nanoparticles conjugated with EOB-PEG as high-performance hepatobiliary-specific MRI contrast agents

Supplementary files

Article information

Article type
Paper
Submitted
17 Dec 2024
Accepted
14 Jan 2025
First published
20 Jan 2025

Nanoscale, 2025, Advance Article

Mn(II)-MOF nanoparticles conjugated with EOB-PEG as high-performance hepatobiliary-specific MRI contrast agents

G. Mo, X. Li, Y. Jian, W. Xu, X. Xiao, A. Chen, Y. Ding, X. Jiang, J. Shen, L. Fan, Z. Wang and L. Dai, Nanoscale, 2025, Advance Article , DOI: 10.1039/D4NR05293E

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