Inflammatory Bowel Disease: MR-and SPECT/CT-based Macrophage Imaging for Monitoring and Evaluating Disease Activity in Experimental Mouse Model-Pilot Study
Inflammatory Bowel Disease: MR-and SPECT/CT-based Macrophage Imaging for Monitoring and Evaluating Disease Activity in Experimental Mouse Model-Pilot Study
复制标题
炎症性肠病：基于 MR 和 SPECT/CT 的巨噬细胞成像，用于监测和评估实验小鼠模型试点研究中的疾病活动
DOI：
10.1148/radiol.13122254
复制
发表时间：
2014-05-01
期刊：
影响因子：
19.7
通讯作者：
Tao, Xiaofeng
中科院分区：
文献类型：
--
作者：
Wu, Yingwei;Briley-Saebo, Karen;Tao, Xiaofeng
Purpose: To evaluate the feasibility of using magnetic resonance (MR) imaging and single photon emission computed tomography (SPECT)/computed tomography (CT) to visualize the in vivo recruitment of iron oxide-labeled macrophages and indium 111 (In-111)-labeled macrophages in inflammatory bowel disease (IBD) and to monitor disease activity.Materials and Methods: This study had institutional animal care and use committee approval. Twenty-seven C57/B6 mice with dextran sodium sulfate (DSS)-induced IBD and control mice were included. Peritoneal macrophages were harvested from seven thioglycollatetreated mice and were labeled with superparamagnetic iron oxide (SPIO) nanoparticles. Macrophage iron content was determined by using inductively coupled plasma mass spectrometry. SPIO nanoparticle-labeled macrophages (5 Chi 10(6)) were intravenously administered. Mice with DSS-induced IBD (n = 8) and control mice (n = 6) were imaged with a 9.4-T MR imaging unit at 0, 5, and 24 hours after macrophage administration. Percentage normalized enhancement (NE) was calculated for the intestinal wall and liver 24 hours after injection. Six mice with IBD coinjected with SPIO nanoparticles and In-111 oxine-labeled macrophages were imaged with MR imaging and SPECT/CT after 24 hours. The pharmacokinetics and biodistribution of the implanted macrophages were determined. Correlation between percentage NE and IBD scores was calculated.Results: Ex vivo mass spectrometry revealed strong SPIO nanoparticle uptake (7.4 pg iron per cell). R2* correlated with cell number (r = 0.9813, P
