A Target-And-Activate Magnetic Resonance Imaging Strategy for Precision Imaging of Intratumoral Bacteria and Screening Antibiotics to Suppress Breast Cancer Metastasis
Abstract
Intratumoral bacteria facilitate tumor metastasis, yet their precise detection remains a challenge, as nanoprobes accumulate nonspecifically and small-molecule probes lack sufficient sensitivity. Here, we report a Target-and-Activate magnetic resonance imaging (MRI) Strategy by designing a peptide probe, BS-FFGd, to specifically visualize low-abundance intratumoral bacteria and guide antimetastatic therapy. This probe requires dual-specificity for activation: targeting lipoteichoic acid on Gram-positive bacteria, then being cleaved by tumor-associated matrix metalloproteinase-2. The design of BS-FFGd ingeniously integrates supramolecular chemistry with imaging mechanisms. Upon dual activation, the probe triggers in situ self-assembly into nanofibers on bacteria, prolonging rotational correlation time and amplifying T 1 relaxivity from 9.03 to 16.51 mM –1 s –1 (1.41 T). In murine models, our probe provided highly specific visualization of intratumoral Staphylococcus aureus, outperforming clinical Gd-DTPA and a targeting-only control by ∼4.7-fold and ∼2-fold in ΔCNR, respectively. MRI signal intensity showed a linear correlation with bacterial load ( R = 0.96), achieving a detection limit of 6 × 10 4 CFU. Crucially, BS-FFGd served as a screening platform, successfully identifying moxifloxacin as an effective antibiotic, which suppressed metastatic nodules by ∼3-fold compared to an ineffective antibiotic. This work reports a promising strategy for high-fidelity molecular imaging, linking precise diagnosis to effective antimetastatic therapy.
Fields of Study & Subjects
Cancer Research and Treatments
Nanoparticle-Based Drug Delivery
Nanoplatforms for cancer theranostics
Publication details
- Journal / source
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Volume
- 148
- Issue
- 22
- Pages
- 22739–22750
- Publication date
- 26 May 2026
- Language
- EN