Unleashing the Power of Magnetic Particle Imaging: Tailored Magnetic Nanoparticles for Ultrasensitive Detection of Bone Metastases in Prostate Cancer

H Haohao Yan (Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology) G Guangyuan Shi (CAS Key Laboratory of Molecular Imaging Institute of Automation Chinese Academy of Sciences Beijing 100190 P. R. China) R Ruili Zhang (Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology) P Peng Yang Y Yuge Li (Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology) D Deshang Duan (Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology) Y Yizhuo Sun (Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology) X Xian Cao (Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology) N Ning He (Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology) K Keying Zhang C Chaoqiang Qiao (Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology) D DongHui Han J Jie Tian Y Yang Du Z Zhongliang Wang (Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology)

Abstract

Abstract Magnetic particle imaging (MPI) is a groundbreaking imaging technique hindered by suboptimal tracers, as current magnetic nanoparticles (MNPs) are primarily designed for magnetic resonance imaging and are not specifically tailored for the distinct physics of MPI. To address this issue, optimizing the magnetic diameter of MNPs is focused on, a pivotal parameter influenced by both physical size and magnetic disorder, yet underexplored in the development of MPI tracers. By employing a precise temperature‐controlled synthesis strategy, this study successfully modulates these parameters synergistically to create high‐performance Fe 310 P with an optimal magnetic diameter, exhibiting an eight‐fold increase in the MPI signal in vitro compared to the commercial tracer VivoTrax. Further surface functionalization with engineered macrophage membranes expressing a prostate‐specific membrane antigen (PSMA)‐targeting antibody fragment (gy‐1) yields tumor‐targeted Fe 310 4PM gy‐1 , which enables the detection of as few as 800 tumor cells with a single scan, without the need for repeated acquisitions. Compared to VivoTrax, Fe 310 4PM gy‐1 achieves a 330‐fold enhancement in the MPI signal in vivo, which enables the sensitive detection of prostate tumors and bone metastasis with 0.5 mm in diameter. This study provides valuable insights into the development of advanced MPI tracers, paving the way for broader biomedical applications of MPI.

Article Details

Volume / Issue Vol. 37, Issue 40
Published October 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (15)

H

Haohao Yan

Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology

G

Guangyuan Shi

CAS Key Laboratory of Molecular Imaging Institute of Automation Chinese Academy of Sciences Beijing 100190 P. R. China

R

Ruili Zhang

Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology

P

Peng Yang

Y

Yuge Li

Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology

D

Deshang Duan

Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology

Y

Yizhuo Sun

Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology

X

Xian Cao

Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology

N

Ning He

Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology

K

Keying Zhang

C

Chaoqiang Qiao

Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology

D

DongHui Han

J

Jie Tian

Y

Yang Du

Z

Zhongliang Wang

Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, School of Life Science and Technology