Nazem Atassi 1,2, Maosheng Xu3,4, Christina Triantafyllou5, Boris Keil 2,6, Christopher Long7, Robert Lawson 1,2, Paul Cernasov1,2, Elena Ratti1,2, Paganoni Sabrina1,2, Nouha Salibi8, Ravi Seethamraju9, Bruce Rosen2,3, Merit Cudkowicz1,2, and Eva-Maria Ratai2,3
1Neurology, Massachusetts General Hospital, Boston, MA, United States, 2A. A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Radiology, Massachusetts General Hospital, Boston, MA, United States, 4Radiology, First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China, People's Republic of, 5Siemens Healthcare, Erlangen, Germany, 6Massachusetts General Hospital, Boston, MA, United States, 7MIT Sloan Neuroeconomics Lab, Cambridge, MA, United States, 8Siemens Healthcare, Auburn, AL, United States, 9Siemens Healthcare, Charlestown, MA, United States
Synopsis
The purpose of this study was to quantify
brain metabolites in Amyotrophic Lateral Sclerosis (ALS) patients using 7-Tesla
MR spectroscopy and investigate how these metabolites correlate with clinical
outcomes. Patients with ALS had
significantly decreased N-acetylaspartate (NAA), glutamate (Glu) and GABA in
the left motor cortex consistent with neuronal injury or loss. NAA/Cr and glutathione/Cr correlated with the revised
ALS Functional Rating Scale. Increased
pathological reflexes, a clinical marker of upper motor neuron degeneration
correlated positively with myo-Inositol/Cr and choline/Cr, and negatively with
NAA/Cr. 7T MRS can provide effective biomarkers
in ALS patients which correlate well with clinical outcomes.Purpose:
Amyotrophic
Lateral Sclerosis (ALS) is a progressive neurodegenerative disorder mainly
involving the upper and lower motor neurons. Previous studies showed that biochemical
changes in ALS detected by MR spectroscopy were important in the pathogenesis
1 and helpful in detecting
pathology in early stage of disease
2. The purpose of this study was to
quantify brain metabolites in ALS patients using ultra-high (7-Tesla) MR
spectroscopy and investigate how these metabolites correlate with clinical
outcomes.
Methods:
The study was approved by the
Institutional Review Board and written informed consent was obtained from all
subjects recruited in this study. In total 12 patients with ALS and 12 healthy age-matched
individuals were recruited. Subjects were required to have a vital capacity
(VC) ≥ 50% at screening. Other clinical outcomes such as disease duration,
revised ALS Functional Rating Scale (ALSFRS-R), and reflex testing evaluating
upper motor neuron dysfunction were also obtained.
In vivo MR spectroscopy was
performed on a 7T MR scanner (Siemens Healthcare, GmbH, Erlangen, Germany) with
a 32-channel receive coil. MR sequences included a multi-echo MPRAGE (MEMPRAGE)
sequence
3 with 1mm
3 isotropic
resolution for spectrum localization and gray matter/white matter/cerebrospinal
fluid (CSF) segmentation and a single voxel 1H MR spectra from the left motor
cortex (VOI = 2 x 2 x 2 cm
3) using an ultra short echo time (5ms) MRS
(stimulated echo acquisition model, STEAM) with VAPOR (Variable Power RF pulses
and Optimized Relaxation Delays) water suppression. Water unsuppressed spectra
were also acquired to estimate absolute concentrations in institutional units
(I.U).
LCModel was employed to quantify brain
metabolites using a basis set with 17 metabolites
4. Metabolite concentrations were
evaluable for further statistical analysis for metabolites of which their Cramer-Rao
lower bounds were less than 20% including gamma-Aminobutyric Acid (GABA), Glutamine
(Gln), Glutamate (Glu), Glutathione (GSH), myo-Inositol (mI), N-acetylaspartate
(NAA), Nacetylaspartylglutamate (NAAG), Taurine (Tau), Creatine+Phosphocreatine
(tCr), and Choline-containing compounds (Phosphorylcholine (PCh) and Glycerophosphorylcholine
(GPC), tCho). The MEMPRAGE sequence was used to segment brain volume of white
matter, gray matter, or CSF within the 2x2x2cm3 MRS voxel using FMRIB Software
Library (FSL 5.0) (Oxford, UK). All metabolite levels were adjusted for CSF
contribution. Student t tests were used to compare age and metabolite
concentrations between ALS subjects and healthy controls. Spearman correlation
coefficients were calculated to estimate the correlations between brain
metabolite concentrations and clinical outcomes. All analyses were conducted
using JMP 11.0 (SAS, Cary, NC).
Results:
The
absolute and relative concentrations of brain metabolites in the left motor
cortex are shown in table 1. In ALS, there were significantly decreased
metabolites of NAA (P=0.006), NAA+NAAG (P=0.008), and Glu (P=0.03) as well as a
trend towards reduced GABA (P=0.059). For the relative concentration (/tCr),
there were only 2 trends towards significant reduction in the metabolites of NAA
(P=0.07) and NAA+NAAG (P=0.06) in ALS patients compared to healthy controls. Correlations between brain metabolite levels in
the left motor cortex and clinical outcomes including ALSFRS-R, VC, and reflex are
shown in table 2 and figures 1-3.
Discussion:
Our study demonstrates that
patients with ALS have significantly decreased NAA, Glu and GABA in the left
motor cortex consistent with neuronal injury or loss. The decrease in Glu is
likely driven by the loss of intracellular Glu due to neuronal degeneration;
the decrease in GABA suggests a reduction in inhibitory transmission. Neuronal
injury/loss (measured by decreased NAA/Cr) and elevated levels of oxidative
stress (measured by a decrease in GSH/Cr) correlated with a decrease in
ALSFRS-R suggesting that both metabolites are clinically relevant. Lower vital
capacity was also associated with decreases in NAA, Glu and Cr, markers of
neuronal integrity and energy metabolism. Furthermore,
increased pathological reflexes, a clinical marker of upper motor neuron degeneration
correlated positively with mI and Cho, both markers of glial activation /
inflammation and negatively with NAA/Cr.
Conclusions:
7T MR spectroscopy may contribute
at improving the understanding of ALS disease mechanisms and provide effective biomarkers
of disease correlating well with ALS clinical outcomes.
Acknowledgements
This study was funded by a pilot
grant from Harvard NeuroDiscovery Center. The primary investigator received K23
training grants from NINDS. The LCModel basis set was supplied by Drs. Deelchand
Dinesh and Gulin Oz from the University of Minnesota.References
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