Can CEST be used as biomarker in Huntington’s disease?
Marilena Rega1,2, James Fairney1, Francisco Torrealdea1,3, Blair Leavitt4, Rachel Schahill1, Raymund Roos5, Bernhard Landwehrmeyer6, Beth Borowsky7, Sarah Tabrizi1, and Xavier Golay1

1Institute of Neurology, University College London, London, United Kingdom, 2Medical Physics, University College London Hospital, London, United Kingdom, 3Center of Medical Imaging, University College London, London, United Kingdom, 4Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada, 5Department of Neurology, University Medical Center, Leiden, United Kingdom, 6Department of Neurology, Ulm University, Ulm, Germany, 7HighQ foundation, CHDI, New York, NY, United States

Synopsis

Huntington’s is a hereditary disease caused by the HTT gene, resulting in the aggregation of mutant huntingtin in the cytoplasm. CEST, known to be affected by protein concentration and structure, was considered a potential biomarker for a clinical trial and comparison with MT, T1 and T2 relaxometry. Data were acquired in n=54 HD patients and n=46 healthy individuals. Comparison of CEST revealed significant differences (p<0.05) in the putamen and globus pallidus regions which did not correlate with any changes in relaxometry or MT, suggesting that CEST might be able to provide additional contrast to the already existing methods.

Purpose

Huntington’s disease (HD) is a polyglutamine disease for which no current cure exists. It is caused by a genetic error on the HTT gene responsible for the formation of polyglutamine tracts and eventually of the production of Huntingtin protein in the cytoplasm. In healthy individuals the polyglutamine chain consists of no more than 36 repeats. However, in individuals with more than 36 repeats the production of Huntingtin protein takes an altered form, the mutant Htt (mHtt) which is found to be associated with increased neuronal decay1,2 and metalloprotein-bound iron4. While Magnetisation Transfer Imaging (MTI) has been linked to myelin loss3 and T2 relaxometry to iron content5, Chemical Exchange Saturation Transfer (CEST) MRI is shown to be sensitive to protein size and concentration6. In this study we compared relaxometry and MTI with CEST in order to assess whether the latter provides additional information about Huntington’s disease patients.

Methods

Premanifest/ early Huntington’s patients (n=54) and healthy individuals (n=47) were recruited as part of the third visit of the TRACKON-HD study and scanned on identical 3T Philips MR scanners and identical receive head coils (8-channel) in Leiden (UMC) and Vancouver (UBC). The CEST/MTI protocol consisted of 3 seconds saturation (50% duty cycle, 50ms duration, FA= 1620o, 2μT B1rms), with a GRASE (GRadient And Spin Echo) readout (resolution 4mm3). Frequency offsets included 10ppm (MT) and 49 points from -6 to 6 ppm. A reference scan was also acquired without saturation. B0 field maps were also acquired for inhomogeneity correction. CEST was calculated as the asymmetry from 2-4 ppm while MTI was calculated as the ratio to the reference with no saturation. T1 maps were acquired using an inversion recovery protocol with 5 inversion times (TI): 200, 500, 1000, 2000 and 4000ms followed by a GRASE readout. T2 maps were acquired using a protocol of 12 multiple echoes (TE) and minimum TE=21ms, also followed by a GRASE readout. Region of Interest analysis was manually performed on each participant over four brain regions based on the literature1,2,7, including the putamen and globus pallidus, frontal lobe white matter, occipital lobe white matter and temporal lobe grey matter, as shown in figure 1. Statistical analysis was performed in Matlab using upaired ttest (95% confidence interval).

Results

Comparison between females and males (figure 2) revealed no significant differences (p>0.1) across healthy individuals nor between HD patients, therefore no groups were formed depending on the participants’ sex. ROI analysis revealed significant differences (p<0.001) in MTI between healthy controls and HD patients (figure 3d) which however strongly correlates (p<0.001) with T2 values (figure 3b and figure 4). CEST signal (figure 3a) showed significant alterations (p<0.05) in the putamen and globus pallidus region which did not correlate with any values of MT, T1 (figure 3c) or T2 (figure 3b).

Discussion

Changes in the CEST asymmetry could be indicative of alterations in the total protein structure or concentration in the corresponding regions for HD patients, independently from any measureable atrophy, or any changes to T1 and T2 relaxometry. The lack of MT changes in regions with CEST variation might indicate differences associated with mobile proteins, such as metabolites, instead of myelin loss.

Conclusion

To our knowledge this work demonstrates for the first time that CEST might be used to provide additional information for HD patients. Nonetheless further longitudinal studies are essential in order to understand the origins of the CEST signal before is considered as a marker for disease progression or response to treatment.

Acknowledgements

No acknowledgement found.

References

[1] Tabrizi SJ, Scahill RI, Owen G, et al. Predictors of phenotypic progression and disease onset in premanifest and early-stage Huntington's disease in the TRACK-HD study: analysis of 36-month observational data. Lancet 2013;12:637-649.

[2] Tabrizi SJ, Reilmann R, Roos, RAC, et al. Potential endpoints for clinical trials in premanifest and early Huntington's disease in the TRACK-HD study: analysis of 24 month observational data. Lancet 2012;11:42:52.

[3] Mallik S, Samson RS, Wheeler-Kingshott CAM, et al. Imaging outcomes for trials of remyelination in multiple sclerosis. Neurology 2014; 85:1396-1404.

[4] Syka M, Keller J, Klempir J, et al. Correlation between relaxometry and diffusion tensor imaging in the globus pallidus of Huntington’s disease patients. Plos one 2015;10(3)

[5] Vymazal J, Klempir J, Jech R, et al. MR relaxometry in Huntington’s disease: Correlation between imaging, genetic and clinical parameters. Journal of Neurological sciences 2007;263:20-25.

[6] Van Zijl PC and Yadav NN. Chemical exchange saturation transfer (CEST): what is the name and what isn’t? Magnetic Resonance Medicine 2011;65:927-948. [7] Feigin A, Tang C, Ma Y, et al. Thalamic metabolism and symptom onset in preclinical Huntington’s disease. Brain 2007;130:2858-2867.

Figures

Figure 1: Anatomical image demonstrating the ROIS chosen for the analysis. Green: putamen and globus pallidus which play an important role in movement. Red: frontal lobe white matter, responsible for language. Yellow: occipital lobe white matter, responsible for visual space. Purple: temporal lobe grey matter, responsible for memory.


Figure 2: A separate sex comparison of healthy participants and HD patients (in pink: females, in green: males). Regions of interest are the same as indicated in figure 1. No significant differences (p>0.1) found between females and males in neither groups (HD or healthy).

Figure 3: ROI analysis comparison of healthy participants (in blue) with HD patients (in orange) of (a) CEST asymmetry values, (b) T2 values, (c) T1 values and (d) MT values for each of the ROI as shown in figure 1.

Figure 4: Relationship of T2 values to MT, showing a significant correlation (Pearson’s, p<0.001) between the two parameters.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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