Jérémy Pépin1,2, Laetitia Francelle1,2, Maria-Angeles Carillo-de Sauvage1,2, Huu Phuc Nguyen3,4, Nicole El Massioui5,6, Valérie Doyère5,6, Emmanuel Brouillet1,2, and Julien Flament1,7
1CEA/DSV/I2BM/MIRCen, Fontenay-aux-Roses, France, 2CNRS Université Paris-Saclay UMR 9199, Fontenay-aux-Roses, France, 3Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, Germany, 4Centre for Rare Diseases, University of Tuebingen, Tuebingen, Germany, 5Paris-Saclay Institute of Neuroscience, Université Paris-Sud, UMR 9197, Orsay, France, 6Centre National de la Recherche Scientifique, Orsay, France, 7INSERM UMS 27, Fontenay-aux-Roses, France
Synopsis
Huntington’s disease (HD) is
an inherited neurodegenerative disease characterized by motor, cognitive and
psychiatric symptoms. As glutamate has been shown to be a potential biomarker
of neurodegenerative diseases, we used Chemical Exchange Saturation Transfer
imaging of glutamate (gluCEST) to map cerebral glutamate distribution in mouse
and rat models of HD. A decrease of [Glu] was measured in the striatum by MRS
and gluCEST. In addition, good spatial resolution of gluCEST over MRS allowed
identification of other afflicted brain regions such as corpus callosum. These
results demonstrate the potential of gluCEST in providing relevant biomarkers
of HD in the whole brain.Target Audience
This work should interest
people studying neurodegenerative diseases and particularly Huntington’s
disease using
1H-spectroscopy and CEST imaging.
Purpose
Huntington’s disease (HD) is
an inherited neurodegenerative disease characterized by motor, cognitive and
psychiatric symptoms
1. Atrophy of the striatum is currently the best
biomarker of disease progression in HD gene carriers. However, there is an
urgent need to identify novel functional biomarkers of disease progression to
better understand pathological processes and to monitor HD patients in clinical
trials. Changes in brain metabolites have been also consistently seen in HD
patients and animal models using MRS
2, but metabolite measurements
are generally limited to a single voxel. Thus, novel
methods that could measure the metabolic defects in the entire brain, and with a precise anatomical
resolution, the metabolic defects would be of major interest. Therefore, we
propose to perform Chemical Exchange Saturation Transfer imaging of glutamate
(gluCEST
3) to map glutamate distribution in the brain of genetic mouse
and rat models of HD, and to evaluate the relevance of gluCEST in the context
of HD.
Methods
Mouse model: 12 months knock-in mice expressing mouse/human exon 1
containing 140 CAG repeats inserted in the HTT gene were used (CAG
140 KI)4.
Three cohorts were compared: Wild Type (+/+, n=5), heterozygous (+/Tg, n=5) and
homozygous mice (Tg/Tg, n=5) for the HTT gene.
Rat model: 12 months transgenic rats obtained using a human
Bacterial Artificial Chromosome containing 97 CAG/CAA repeats
were used (BAC-HD5). Two cohorts were compared: Wild Type
(+/+, n=9) and homozygous (+/Tg, n=8) rats.
NMR: MRS
data were acquired on a horizontal 11.7T Bruker magnet in a voxel positioned in
the left striatum (8 and 43µL for mice and rats respectively). A LASER sequence
was used with TR/TE=5000/20ms. Glutamine (Gln), total choline (tCho),
myo-inositol (Ins), glutamate (Glu), total N-Acetyl-Aspartate (tNAA) and
Taurine (Tau) concentrations were calculated relative to total Creatine (tCr)
with good precision (Cramér-Rao lower bounds <5%) using LCModel6.
GluCEST: GluCEST images were acquired using TSE sequence
preceded by a frequency-selective continuous wave saturation pulse of 1s with
a B1 intensity of 5µT applied at frequencies ranging from -5 to 5ppm by 0.5ppm steps. B0 inhomogeneity was corrected using WASSR7.
GluCEST images were calculated using asymmetric Magnetization Transfer Ratio
(MTRasym) at ±3ppm.
Results
Mice: Figure 1
shows typical spectrum acquired in mouse striatum (Fig.1a) and metabolic
profiles for each genotype (Fig.1b). Notable decreases were measured,
particularly for tNAA (-17.4%
and -24.3% for +/Tg and Tg/Tg, respectively) and Glu (-13% and -14.9% for +/Tg
and Tg/Tg, respectively). A significant increase of Gln (+27%) was measured in
Tg/Tg.
Figure 2
shows examples of gluCEST images acquired in each cohort. Lower gluCEST
contrasts in HD mice were seen, especially for homozygous (Fig.2, bottom
panel). Mean MTRasym spectra measured in striatum (Fig.3a) and corpus callosum
(Fig.3b) of +/+ (solid lines) and Tg/Tg (dotted lines) confirmed the decrease
of gluCEST contrast.
In order to
perform regional analysis of gluCEST contrast, several regions of interest were
drawn (Fig.4, top panel) and mean MTRasym were calculated. Variations of mean
gluCEST contrast at 3ppm were calculated between +/+ and +/Tg (Fig.4, bottom
left) and between +/+ and Tg/Tg (Fig.4, bottom right). Homozygous mice exhibited decreased glutamate across a majority of the brain especially
in the cortex and the striatum. Surprisingly, the most affected structure in
both heterozygous and homozygous was the corpus callosum (-22% (p-value=0.092)
and -28% (p-value=0.045) respectively).
Rat: MRS results
showed similar trend in metabolic modifications, but did not reach significance
(data not shown). However, variation map of gluCEST contrast showed a decrease
in the whole brain and especially in the corpus callusom (Fig.5) as observed in
mice.
Discussion and conclusion
The decrease in
[Glu] and [tNAA], two neuronal
metabolites, suggests neuronal alterations in HD animals. The increase in
[Gln], an astrocytic metabolite, may reflect a slight inflammation or astrocytic
reactivity. GluCEST confirmed the decrease in [Glu] in the striatum in HD mice.
In addition, good spatial resolution of gluCEST over
1H-MRS allowed
identification of other brain regions with a reduction in [Glu]. Glutamate loss
was less pronounced in heterozygous as compared to homozygous, which is consistent
with a faster progression of the disease in this latter group. Interestingly,
the corpus callosum was the most affected structure in both rodent models. This
finding is in agreement with MRI studies showing early alterations of white
matter in HD patients
1,8.
In this study, we
evaluated for the first time gluCEST as a potential biomarker of HD. Variation
maps of glutamate levels could be a valuable tool to follow HD progression.
Acknowledgements
This project was funded by the French National
Research Agency (ANR-14-CE15-0007, HDeNERGY project).References
1Walker,
F.O. Lancet 369, 218–228 (2007).
2Jenkins, B.G. et al., J Neurochemistry 74,
2108-2119, (2000).
3Cai, K. et al., Nature Medicine 18, 302–306, (2012).
4Menalled et al., The
Journal of Comparative Neurology 465, 11–26 (2003).
5Libo
Yu-Taeger et al. The Journal of Neuroscience 32(44), 15426 –15438, (2012).
6Provencher, MRM
30(6), 672-679, (1993).
7Kim, M. et al., MRM
61(6), 1441-1450, (2009).
8Rosas, H.D. et
al., NeuroImage 49(4), 2995-3004,
(2010).