A transferrin-targeted nanoplatform for MRI-guided visualization and potent suppression of tumors and pulmonary metastatic lesions
While targeted theranostics for cancer remains a pivotal research frontier, conventional ligand conjugation strategies exhibit persistent limitations in off-target accumulation and suboptimal tumor specificity, ultimately failing to achieve reliable detection of early-stage lesions or metastatic nodules while demonstrating insufficient therapeutic payload delivery. In this study, the manganese sulfide (MnS) nanoplatform was synthesized using transferrin (Tf) with tumor-targeting properties as a carrier by a simple fabrication method. Notably, compared to clinically prevalent Gd-based contrast agents, Tf-MnS exhibited superior <i>T</i><sub>1</sub>-weighted magnetic resonance imaging (MRI) contrast performance, with the longitudinal relaxation (<i>r</i><sub>1</sub>) reaching 7.5253 mM<sup>-1</sup> s<sup>-1</sup>, which was significantly higher than 3.2915 mM<sup>-1</sup> s<sup>-1</sup> of Gd-DTPA, and in the MRI of subcutaneous tumors and lung metastatic lesions in mice, the maximum relative signal-to-noise ratios reached 46.33% and 40.33%, respectively. Remarkably, upon reaching the acidic tumor microenvironment, Tf-MnS disintegrated to release Mn<sup>2+</sup> ions and hydrogen sulfide (H<sub>2</sub>S). The Mn<sup>2+</sup> ions participated in Fenton-like reactions to produce cytotoxic hydroxyl radicals, while H<sub>2</sub>S concurrently inhibited catalase enzyme activity, thereby alleviating the insufficiency of the hydrogen peroxide substrate and amplifying the therapeutic outcome. This synergistic mechanism endowed Tf-MnS with a self-enhanced anti-tumor effect, inhibiting both lung metastatic lesions and subcutaneous tumors in mice of the Tf-MnS group, with a tumor inhibition rate of 54.26%. Collectively, this work proposes an innovative strategy for integrating accurate diagnosis and self-augmented therapy of tumors and lung metastatic lesions into a unified nanoplatform, offering a promising methodology for precision oncology.
Authors
- Pengju Ma
- Xiao Jun Sun (ORCID: https://orcid.org/0000-0001-6506-1574)
- Lihua Pang
- Kai Guo (ORCID: https://orcid.org/0000-0002-4291-4439)
- Liya Tian
- Wei Zhuang (ORCID: https://orcid.org/0000-0002-2470-7268)
- Yinlong Xu (ORCID: https://orcid.org/0000-0001-9586-0561)
- Shunzhen Zheng (ORCID: https://orcid.org/0000-0002-3028-3430)
- Xueli Xu (ORCID: https://orcid.org/0009-0004-6116-6343)
- Ke Ren (ORCID: https://orcid.org/0000-0002-6485-1619)
Institutions
- Shandong Provincial Hospital (CN)
- Shandong First Medical University (CN)
- Shandong Jianzhu University (CN)
Publication Details
- Journal
- Nanoscale Horizons
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5nh00325c
- Primary Topic
- Nanoplatforms for cancer theranostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Taishan Scholar Foundation of Shandong Province