Skip to content

Author

Minrui Liu

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

Prostate specific membrane antigen targeted ultrasmall manganese ferrite nanoparticles for PET/MR imaging of prostate cancer.

Prostate-specific membrane antigen (PSMA)-targeted molecular imaging has greatly improved the precision of prostate cancer (PCa) diagnosis; however, the integration of high-sensitivity positron emission tomography (PET) and high-resolution magnetic resonance imaging (MRI) into a single, safe nanoplatform remains a critical clinical need. Here, we report PSMA-targeted PET/MR dual-modal ultrasmall manganese ferrite nanoparticles (UMFNPs) for molecular imaging of PCa. Uniform UMFNPs were synthesized via a dynamic simultaneous thermal decomposition (DSTD) method and their surfaces were sequentially engineered with the highly specific PSMA ligand glutamic acid-urea-lysine (Glu-urea-Lys) and the chelator NOTA, followed by efficient radiolabeling with 68Ga. The resulting 68Ga-NOTA-UMFNPs-Glu nanoprobe exhibited a high 68Ga radiochemical purity exceeding 97%, excellent stability, and a high longitudinal relaxivity (r1) of 8.18 mM-1 s-1. In PSMA-positive LNCaP tumor-bearing mice, the probe enabled specific and clear tumor delineation by both PET and T1-weighted MRI, with an SUVmax of approximately 0.65 and a substantial 43.5% MR signal enhancement at the tumor site at 30 minutes post-injection. This specific accumulation was significantly higher than that in PSMA-negative PC3 tumors. Pharmacokinetic and biosafety evaluations demonstrated rapid hepatic clearance and a favorable biocompatibility profile. This work demonstrates that combining the inherent MR T1 contrast enhancement capability and favorable pharmacological properties of UMFNPs with PSMA targeting and stable 68Ga labeling yields a highly specific, safe, and quantitative PET/MR nanoplatform, offering substantial promise as a potential clinically translatable platform for precise molecular imaging and personalized management of PCa.

Guohang Ma, Qiong Zou, Ying Qiu et al. · 0 citations