Shen Yimin, Zhang Li, Ding Guangliang, Boyd Edward, Kaur Jasleen, Li Qingjiang, Haacke E Mark, Hu Jiani, Jiang Quan
Department of Radiology, Wayne State University, Detroit, MI 48202, USA.
Department of Neurology, Henry Ford Health System, Detroit, MI 48202, USA.
Diagnostics (Basel). 2025 Apr 16;15(8):1019. doi: 10.3390/diagnostics15081019.
The brain's vascular system has recently been shown to provide an important efflux pathway for cerebral waste clearance (CWC). However, little is known about the influence of aging or diabetes on the CWC. The aim of the current study is to investigate the vasculature contribution to CWC under aging and diabetic conditions. : Male Wistar rats under aging and diabetic conditions were evaluated using dynamic intra-cisterna superparamagnetic iron oxide-enhanced susceptibility-weighted imaging (SPIO-SWI). Theoretical analysis of the expected signal intensity using SPIO-SWI was compared with the corresponding dynamic in vivo images. Quantitative susceptibility mapping (QSM) was used to evaluate the iron-based tracer concentration in the venous system. : Our data demonstrated that the theoretical analysis predicted the dynamic changes in the signal intensity after SPIO infusion. The distinct hyperintense signals due to the lower concentration of the SPIO over time in cerebrospinal fluid (CSF) and meningeal lymphatic (ML) vessels likely represented the CWC through various efflux pathways, including cerebral vascular and ML vessels. The QSM analysis further revealed reduced CWC from the vasculature in both the aged and diabetic groups compared to the younger group. Our results demonstrated that SPIO-SWI can quantitatively evaluate the CWC efflux contributions from cerebral vascular vessels under aging or diabetic conditions.
最近的研究表明，大脑的血管系统为脑废物清除（CWC）提供了一条重要的流出途径。然而，关于衰老或糖尿病对CWC的影响知之甚少。本研究的目的是调查在衰老和糖尿病条件下血管系统对CWC的贡献。：使用动态脑池内超顺磁性氧化铁增强的 susceptibility-weighted成像（SPIO-SWI）对处于衰老和糖尿病条件下的雄性Wistar大鼠进行评估。将使用SPIO-SWI对预期信号强度的理论分析与相应的动态体内图像进行比较。使用定量磁化率映射（QSM）来评估静脉系统中铁基示踪剂的浓度。：我们的数据表明，理论分析预测了SPIO注入后信号强度的动态变化。随着时间的推移，由于脑脊液（CSF）和脑膜淋巴管（ML）中SPIO浓度较低而产生的明显高信号可能代表了通过各种流出途径（包括脑血管和ML血管）的CWC。QSM分析进一步显示，与年轻组相比，老年组和糖尿病组的血管系统CWC均降低。我们的结果表明，SPIO-SWI可以定量评估衰老或糖尿病条件下脑血管对CWC流出的贡献。
