Gaglia Jason L, Harisinghani Mukesh, Aganj Iman, Wojtkiewicz Gregory R, Hedgire Sandeep, Benoist Christophe, Mathis Diane, Weissleder Ralph
Joslin Diabetes Center, Boston, MA 02215;
Center for Systems Biology and Department of Radiology, Massachusetts General Hospital, Boston, MA 02114;
Proc Natl Acad Sci U S A. 2015 Feb 17;112(7):2139-44. doi: 10.1073/pnas.1424993112. Epub 2015 Feb 3.
The inability to visualize the initiation and progression of type-1 diabetes (T1D) noninvasively in humans is a major research and clinical stumbling block. We describe an advanced, exportable method for imaging the pancreatic inflammation underlying T1D, based on MRI of the clinically approved magnetic nanoparticle (MNP) ferumoxytol. The MNP-MRI approach, which reflects nanoparticle uptake by macrophages in the inflamed pancreatic lesion, has been validated extensively in mouse models of T1D and in a pilot human study. The methodological advances reported here were enabled by extensive optimization of image acquisition at 3T, as well as by the development of improved MRI registration and visualization technologies. A proof-of-principle study on patients recently diagnosed with T1D versus healthy controls yielded two major findings: First, there was a clear difference in whole-pancreas nanoparticle accumulation in patients and controls; second, the patients with T1D exhibited pronounced inter- and intrapancreatic heterogeneity in signal intensity. The ability to generate noninvasive, 3D, high-resolution maps of pancreatic inflammation in autoimmune diabetes should prove invaluable in assessing disease initiation and progression and as an indicator of response to emerging therapies.
无法在人体中以非侵入性方式可视化1型糖尿病(T1D)的发病和进展是研究和临床的一个主要障碍。我们描述了一种先进的、可推广的方法,用于对T1D潜在的胰腺炎症进行成像,该方法基于临床批准的磁性纳米颗粒(MNP) ferumoxytol的磁共振成像(MRI)。MNP-MRI方法反映了炎症胰腺病变中巨噬细胞对纳米颗粒的摄取,已在T1D小鼠模型和一项初步人体研究中得到广泛验证。本文报道的方法学进展得益于在3T条件下对图像采集的广泛优化,以及改进的MRI配准和可视化技术的发展。一项针对近期诊断为T1D的患者与健康对照的原理验证研究得出了两个主要发现:第一,患者和对照在全胰腺纳米颗粒积累方面存在明显差异;第二,T1D患者在胰腺内和胰腺间的信号强度表现出明显的异质性。在自身免疫性糖尿病中生成胰腺炎症的非侵入性、三维、高分辨率图谱的能力,在评估疾病的起始和进展以及作为新出现疗法反应的指标方面应该具有巨大价值。