Macrocyclic Pyclen-Based Hybrid Nanoprobes for Magnetic Resonance Imaging of Sentinel Lymph Node Metastasis
The clinical diagnosis of sentinel lymph node (SLN) metastasis through contrast-enhanced magnetic resonance imaging (MRI) remains challenging. In this work, a pyclen-based amphiphilic gadolinium chelate (GdL) was developed and coassembled with DSPE-PEG2000 to form hybrid micelles for SLN metastasis imaging. The micelles exhibited high relaxivity and kinetic stability, with particle size and relaxivity adjustable by modifying the DSPE-PEG/GdL mass ratio. The DSPE-PEG/GdL micelles (15:1) displayed the highest <i>T</i><sub>1</sub> relaxivity (23.5 Gd mM<sup>-1</sup> s<sup>-1</sup> at 1.5 T), which is 5.6-fold greater than that of Gd-DOTA, coupled with high kinetic stability. In a mouse model of breast cancer lymph node metastasis, SLN was successfully distinguished at a much lower dosage (0.75 or 1.5 mg Gd kg<sup>-1</sup> BW) compared to the clinical dose of 15.7 mg Gd kg<sup>-1</sup> BW, as evidenced by differences in MR signal intensity. Overall, the strategy of coassembling pyclen-based Gd chelates with DSPE-PEG2000 offers a feasible approach for developing effective MR probes for lymph node metastasis imaging.
Authors
- Hua Ai
- Yingzi Cao
- Q. Gong
- Shengxiang Fu (ORCID: https://orcid.org/0000-0001-9755-0014)
- Haojie Gu (ORCID: https://orcid.org/0009-0007-6968-2176)
- Ning Li (ORCID: https://orcid.org/0000-0002-3997-4414)
- Su Lui (ORCID: https://orcid.org/0000-0002-7086-4029)
- Ping Xia (ORCID: https://orcid.org/0000-0001-7852-6764)
- Zhongyuan Cai
- Yi Jiang
- Bin Song
- Xiaomin Fu
- Li Liu
Institutions
- Oklahoma State Department of Health (US)
- Ministry of Education of the People's Republic of China (CN)
- Sichuan University (CN)
- Frontier Hospital (ZA)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- ACS Applied Materials & Interfaces
- Published
- 2026-01-06
- DOI
- https://doi.org/10.1021/acsami.5c22527
- Citations
- 1
- Primary Topic
- Nanoparticle-Based Drug Delivery
- Type
- article
- Field-Weighted Citation Impact
- 22.64