Programmable macrophage-polarizing nanoparticles for MRI-guided early detection and treatment of pulmonary metastases
Metastatic lung cancer remains a leading cause of cancer-related mortality worldwide, underscoring the urgent need for early detection and intervention strategies. Current diagnostic and therapeutic methods often fall short in sensitivity and efficacy, particularly for early-stage disease. In this study, we develop CaCO<sub>3</sub>@quercetin-Mn nanoparticles (CQM NPs) integrating dual-stage macrophage reprogramming with T<sub>1</sub>-weighted magnetic resonance imaging (MRI) enhancement for theranostic management of pulmonary metastasis. CQM NPs exploit dynamic macrophage polarization: initial M2 polarization promotes nanoparticles accumulation in metastatic lesions, enabling detection of lesions as small as 0.11 mm, while subsequent acid/glutathione (GSH)-triggered degradation reprograms tumor-associated macrophages to antitumor M1 phenotype, suppressing metastatic growth by 81.64% and preventing circulating tumor cells (CTCs) from colonizing the lungs by 78.08%. These findings demonstrate a significant improvement in MRI sensitivity and an integrated approach to therapy, contrasting with traditional methods that separate these challenges. This "detect-to-treat" paradigm bridges the critical gap between imaging sensitivity and immunomodulatory therapy, offering a blueprint for precision nanomedicine in metastatic cancers.
Authors
- Sen Yue (ORCID: https://orcid.org/0000-0002-2889-0143)
- Hai‐Qiang Wang (ORCID: https://orcid.org/0000-0002-7752-6217)
- Daiqin Chen (ORCID: https://orcid.org/0000-0001-8839-1410)
- Kairu Xie
- Xuefei Liu
- Meiju Sui
- Yingying Luo (ORCID: https://orcid.org/0000-0003-4154-4277)
- Sha Li
- Xin Zhou (ORCID: https://orcid.org/0000-0001-9281-3612)
- Hao Sheng (ORCID: https://orcid.org/0000-0002-2044-8764)
- Shizhen Chen (ORCID: https://orcid.org/0000-0002-4883-5790)
Institutions
- University of Maryland, Baltimore (US)
- Hainan University (CN)
- Wuhan Institute of Physics and Mathematics (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Journal of Nanobiotechnology
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1186/s12951-025-03749-5
- Citations
- 1
- Primary Topic
- Nanoplatforms for cancer theranostics
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- Wuhan University