The aim of the study is to examine the feasibility of using GlucoCEST to evaluate subtle BBB dysfunction in the mouse brain, by comparing it with conventional gadolinium DCE. DCE and GlucoCEST showed no significant differences between WT and 5XFAD mice (3 months). However, the degree of the response after injection was similar for DCE and GlucoCEST for all animals except one, indicating shared contributions to the signal and supporting the potential for biodegradable d-glucose as a cheap, low-risk alternative/complement to DCE MRI. More work is required to assess GlucoCEST sensitivity to low-level BBB dysfunction, such as in Alzheimer’s disease.
Methods
Animals and preparation N=5 5XFAD mice (AD mouse model) and n=4 WT mice (3months of age, fasted overnight) were cannulated in the tail vein and positioned in a 9.4T Bruker BioSpec scanner, equipped with a 4-channel phase array receiver coil. A connector with three lines was connected to a d-glucose solution (0.5 g/mL), Gd-DTPA solution (Gadovist, 1mM) and the tail vein. Injections were done with a syringe pump with the following parameters: first d-glucose, rate: 0.15mL/min, volume: 150mL and later Gd, rate: 0.6mL/min, volume: 50mL. Imaging Repeated single slice CEST measurements were acquired before (n=2) and after (n=3) d-glucose injection. A 3s hard pulse (1.6µT) applied at 17 offsets between ±3.2ppm was followed by a RARE readout with centric encoding ( TR/TE = 4s/6 ms, RARE factor 23, acquisition time 2:24min each). For Gd-DCE, multi-slice T1-weighted images were continuously acquired during Gd injection, for 10min (3min baseline), using a multislice FLASH sequence with TE/TR/flip angle/temporal resolution = 1.21 ms/26 ms/70°/1.4s. Analysis Magnetization transfer ratio (MTR) asymmetry integral maps (1-1.5ppm) were calculated for GlucoCEST using custom-made Matlab scripts. B0 correction was performed by spline-fitting and centering of the Z spectrum. For DCE, relative contrast enhancement (RCE) maps were derived using DCE@urLAB 4. The whole brain was taken as an ROI for both MTR and RCE. Glucose and Gd difference images were computed by subtracting each timepoint and the average of 2 or 20 preinjection images, respectively. Student's t-test was used to compare AD versus WT for both glucoCEST and DCE.1. Heye A, Culling R, et al. Assessment of blood-barrier disruption using dynamic contrast-enhanced MRI. A systematic review. Neuroimage Clin. 2014;6:262-274.
2. Xu X, Chan KW, et al. Dynamic glucose enhanced (DGE) MRI for combined imaging of blood-brain barrier break down and increased blood volume in brain cancer. Magn Reson Med. 2015;74(6):1556-1563.
3. Xu X, Yadav NN, et al. Dynamic Glucose-Enhanced (DGE) MRI: Translation to Human Scanning and First Results in Glioma Patients. Tomography. 2015;1(2):105-114.
4. Ortuño JE, Ledesma-Carbayo MJ, et al. DCE@urLAB: a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data. BMC Bioinformatics. 2013;14:316.