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Dynamic glucose enhanced MRI detects glucose-related responses in mouse brain under normoxia and hyperoxia
Jianpan Huang1, Zilin Chen1, Peter C. M. van Zijl2,3, Lok Hin Law1, Rohith Saai Pemmasani Prabakaran1,4, Se Weon Park1, Jiadi Xu2,3, and Kannie W. Y. Chan1
1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 3Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, China

Synopsis

Dynamic glucose enhanced (DGE) MRI can detect glucose-related events in the brain, however, the influence of oxygen levels on DGE signal remains unknown. Here, we investigated the DGE signal changes under normoxia and hyperoxia on mouse brain, using on-resonance variable delay multi-pulse (onVDMP) MRI. Significantly higher signal change under normoxia than that under hyperoxia was observed in parenchyma but not in cerebrospinal fluid (CSF). Without glucose infusion, a signal increment of about 3% was found in both parenchyma and CSF from hyperoxia to normoxia, interpreted as related to BOLD effect. These data provide insight into the origin of glucoCEST contrast.

Introduction

Inhaled oxygen (O2) has been commonly used as an MRI contrast agent for decades as it has advantages of fast clearance and few contraindications.1-3 Dynamic glucose enhanced (DGE) MRI is capable of noninvasively mapping cerebral glucose delivery and uptake using natural D-glucose as a tracer,4-21 based on the mechanism of chemical exchange saturation transfer (CEST).22-26 Recently, on-resonance variable delay multi-pulse (onVDMP)27 has been proposed to efficiently detect fast-exchanging protons including hydroxyl protons of D-glucose.5,18,28 Moreover, we proposed an length-adjustable onVDMP to detect glucose in brain parenchyma and cerebrospinal fluid (CSF) simultaneously.5,28 However, the influence of altered oxygen levels on DGE signal remains unknown currently. In this study, we investigated cerebral glucose response to normoxia (NO) and hyperoxia (HO) using onVDMP based DGE MRI at 3T.

Methods

Six wild type (WT) mice (C57BL/6, female aged 2-3 months old) were used in this study. All MRI experiments were performed on a horizontal bore 3T Bruker Biospec system (Bruker, Ettlingen, Germany). To investigate the effect of normoxia (air with 21% O2) and hyperoxia (concentrated air with 93% O2) on mouse brain, DGE MRI experiments were performed in two different modes (FIGURE 1) for the same mouse: (i) Independent mode: DGE data of each mouse under normoxia or hyperoxia was acquired in two independent experiments. (ii) Interleaved mode: DGE data of each mouse was acquired by interleaving NO and HO in one experiment. The DGE MRI sequence was an onVDMP module followed by rapid acquisition with a RARE readout.4,5 The onVDMP module consisted of a train of binomial pulses (bp) with a peak power of 3.1 μT and a duration of 7.5 ms (15 ms for a bp pair). The number of bp pairs was set to 4 (60 ms) for parenchymal imaging and to 60 (900 ms) for CSF imaging.5 Other parameters were as followings: TR=2.5 s, TE=5 ms, RARE factor=32, slice thickness=2 mm, matrix size=96×96 and FOV=20×20 mm2. Thus, the time resolution of an image pair (parenchymal and CSF images) was 15 s. The total imaging time per DGE acquisition was 55 min (220 image pairs). A bolus of 0.15-ml filtered 50% w/w D-glucose was injected into mouse body through the tail vein over 1 min. The area under curve (AUC) normalized with data points was used to assess the DGE results.17,20

Results and Discussion

In independent experiments (Figure 1A), DGE images/curves of both parenchyma and CSF showed clear glucose response after D-glucose injection, either under normoxia or hyperoxia (Figure 2). For the parenchymal DGE results, an initially rapid enhancement (likely vascular) followed by a fast decrease and gradual elevation to steady state was observed (Figure 2A,C&E). For the CSF DGE results, the initial enhancement quickly reached a maximum and then gradually washed out (Figure 2B,D&F). The observations were consistent with a previous study.5 Notably, the averaged parenchymal DGE curve under normoxia was obviously higher than that under hyperoxia, while the averaged CSF DGE curves showed comparable amplitude and trend (Figure 2E-F) under different levels of oxygen. Normalized AUC of normoxia was significantly larger than that of hyperoxia in parenchyma (2.79±0.39% versus 1.67±0.28%, P=0.005), as shown in Figure 3. We speculated that this difference could be related to the vasoconstriction caused by the hyperoxia, as the percentage change ([2.79-1.67]/2.79*100%=40%) was comparable to previously reported percentage change (33%, from 53.6 ml·100g-1·min-1 to 36.1 ml·100g-1·min-1) of global cerebral blood flow (CBF) from normoxia (21% O2) to hyperoxia (100% O2).28 However, no substantial difference was observed in CSF under normoxia and hyperoxia (4.41±6.58% versus 6.33±3.26%, P=0.534). This could be due to the higher accessibility of CSF to blood than parenchyma to blood. To investigate the influences of baseline and experimental error, interleaved experiments were performed (Figure 1B). Interestingly, there was an obvious increment of 3.1±0.1% in parenchyma and 2.6±0.8% in CSF after switching the hyperoxia baseline to normoxia (Figure 4C,D). We conclude that this difference observed under two gas conditions is due to the blood oxygenation level dependent (BOLD) effect.29 At 30 min after glucose injection during normoxia, the setup was shifted back to HO and the NO/HO signals were compared to their respective baselines. The DGE images/curves under normoxia showed higher signal than that under hyperoxia, while no difference was found in CSF (Figure 4). These were consistent with the results of independent experiments. From Figure 5, significant difference of normalized AUC at last 10-min duration between normoxia and hyperoxia was found in parenchyma (3.70±2.39% versus 2.22±1.70%, P=0.033), but not in CSF (1.22±8.76% versus -1.09±9.29%, P=0.197).

Conclusion

DGE MRI have been proposed and developed in the past decade, but the influence of altered oxygen levels on DGE signal remains unknown. Here we performed DGE experiments under normoxia and hyperoxia on the same mouse, in both independent and interleaved experiments. Significantly higher signal change under normoxia than under hyperoxia was observed in parenchyma but not in CSF. An signal increment of about 3% was found when switching to normoxia from hyperoxia without glucose injection, most likely due to the BOLD effect under two oxygenations. We suggested that the inhaled oxygen level is a factor that needs consideration when performing DGE MRI in research studies or clinical applications.

Acknowledgements

This work was supported by Research Grants Council: 11102218, PDFS2122-1S01; City University of Hong Kong: 7005210, 7005433, 9680247, 9667198 and 9609307; National Natural Science Foundation of China: 81871409. Jianpan Huang and Zilin Chen contributed equally to this work.

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Figures

FIGURE 1 Diagram of DGE MRI acquisition protocols. (A) Independent mode: DGE data under normoxia or hyperoxia was acquired in two independent experiments. (B) Interleaved mode: DGE data under normoxia or hyperoxia was acquired with an interleaved way in one experiment.

FIGURE 2 DGE results of independent experiments. (A, C) Parenchymal and (B, D) CSF DGE images of mouse brains under (A, B) normoxia and (C, D) hyperoxia. (E) Parenchymal and (F) CSF DGE response curves (n = 6) under normoxia and hyperoxia. DGE images were averaged over every set of 10 (8 for last image) for display.

FIGURE 3 Comparison of normalized AUC results (n = 6) after D-glucose injection (47 min over 188 data points), for (A) parenchyma and (B) CSF. Significance level: ns, not significant; ** P<0.01 (Paired t test).

FIGURE 4 DGE results of interleaved experiments including both normoxia (NO) and hyperoxia (HO). (A) Parenchymal and (B) CSF DGE images of mouse brains. (C) Parenchymal and (D) CSF DGE curves of mouse brains (n = 5). DGE images were averaged over every set of 10 (8 for last image) for display.

FIGURE 5 Comparison of normalized AUC results (n=5) of last 10-min duration (40 data points) of DGE curves under normoxia and hyperoxia, for (A) parenchyma and (B) CSF. In interleaved experiments, DGE data under normoxia was acquired right after D-glucose injection, while DGE data under hyperoxia was acquired at steady state. Hence, AUC of last 10-min duration was compared here. Significance level: ns, not significant; * P<0.05 (Paired t test).

Proc. Intl. Soc. Mag. Reson. Med. 30 (2022)
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DOI: https://doi.org/10.58530/2022/3836