Benedetta Bodini1, Francesca Branzoli1,2, Emilie Poirion1, Daniel Garcia-Lorenzo1,2, Elisabeth Maillart1, Julie Socha1, Geraldine Bera1, Itamar Ronen3, Stephane Lehericy1,2, and Bruno Stankoff1
1Brain and Spine Institute, INSERM U1127, Sorbonne Universités, UPMC, CHU Pitié-Salpêtrière, Paris, France, 2Brain and Spine Institute, Center for Neuroimaging Research (CENIR), CHU Pitié-Salpêtrière, Paris, France, 3C.J. Gorter Center for High Field MRI, Radiology, Leiden University Medical Center, Leiden, Netherlands
Synopsis
Diffusion-weighted spectroscopy (DWS), allowing to
measure in-vivo the diffusion
properties of endogenous intracellular metabolites such as total
N-acetyl-aspartate (tNAA) and total creatine (tCr), offers the opportunity to
explore the early phase of neuronal structural damage and energetic mismatch in
multiple sclerosis (MS). We compared the apparent diffusion coefficient (ADC)
of tNAA and tCr in 25 patients with MS and 20 healthy volunteers, and found a reduced
diffusivity of both metabolites in patients, both in the corona radiate and in
the thalami. These results may reflect an ongoing neuro-axonal damage and a
simultaneous energy dysregulation affecting neurons and/or glial cells in MS.Purpose:
Energy dysregulation is considered a key contributing
factor to neuro-axonal loss in multiple sclerosis (MS). Diffusion-weighted
spectroscopy (DWS), allowing to measure
in-vivo
the diffusion properties of endogenous intracellular metabolites
1,
has the potential to provide novel insights into the early phase of neuronal
structural damage and energetic mismatch in MS. This technique combines specific
measures of neuro-axonal damage, such as the diffusivity of total
N-acetylaspartate (tNAA), an intra-neuronal amino acid−derivative, with measures
of cell energy metabolism, such as the diffusivity of total creatine (tCr). tCr
represents the sum of creatine and phosphocreatine, both intermediaries in the
ATP-generating, creatine-kinase reaction, and reflects the status of energy
metabolism in neuronal and glial cells. We
employed DWS to explore the neuro-axonal damage and the ongoing energy dyregulation
in the brain of patients with MS, and to investigate the clinical relevance of
these processes.
Methods:
Twenty-five patients with MS (15 women, mean
age=45.8±13yrs) were clinically assessed on the Expanded Disability Status
Scale (EDSS)
2 and on the Timed-walked test (TWT)
3 and
underwent conventional imaging on a 3T whole-body Siemens scanner equipped with
a 32-channel receive coil along with a group of 20 age- and gender-matched
healthy controls (HC). A single-VOI diffusion-weighted PRESS
4
sequence was employed to measure diffusion of tNAA and tCr. A VOI of dimensions
25(AP)x13(RL)x20(FH)mm
3 was located in the white matter (WM) of the
corona radiate (
Fig1), outside visible lesions in patients. A second VOI of
23(AP)x30(LR)x18(FH) mm
3 was positioned in the gray matter (GM) of
the bilateral thalami (
Fig2). Sequence
parameters were: TR=3 cardiac cycles, TE=120ms, spectral width=2kHz, and number
of sample points=1024. The diffusion weighting was applied in one direction
using a diffusion time Δ=60 ms, duration of bipolar gradients δ=30ms, and gradient
strength g=33mT/m, resulting in a b value of 3100s/mm2. 52 spectra for
each condition were acquired in the corona radiata and 64 in the thalami. Phase
and frequency drift corrections were performed using the residual water peak.
Eddy current corrections were performed using the phase information from the
non-water-suppressed data. Quantification of spectral data was performed with
LCModel
5. Brain tissues were classified in WM, GM and cerebrospinal
fluid, and normalized thalamic volume (NTV) was calculated. The apparent
diffusion coefficient (ADC) of tNAA and tCr was obtained evaluating the signal
decay induced by diffusion weighting. Metabolite concentrations were also
calculated, using the non-suppressed water reference peak and accounting for
metabolite and water T2 and T1 decays, as well as for voxel
tissue composition (VTC). Linear regressions were employed to assess: (i) group
differences in metabolite ADCs and concentrations, accounting for age, gender, VTC,
and NTV for GM-derived metrics; (ii) correlations between DWS-derived measures
and clinical scores.
Results:
Examples of
spectra measured with and without diffusion weighting in the WM and GM of a
single patient with MS are reported in
Fig.1 and
2. In the WM, tNAA
concentration was found to be significantly reduced in patients compared with HC
(p=0.001), while the decrease in ADC(tNAA) in patients did not reach
statistical significance (
Fig3a). In the GM, a significant reduction in both
tNAA concentration and ADC(tNAA) was found in patients compared with HC
(p=0.001 and p=0.006 respectively,
Fig3b). While tCr concentration showed no
group difference in the WM, ADC(tCr) was significantly decreased in patients
(p=0.016,
Fig3c). In the GM, both tCr concentration and ADC(tCr) were
significantly reduced in patients compared with HC (p=0.009 and p=0.031 respectively,
Fig3d). Patients with more severe disability, as measured by EDSS, showed
lower ADC(tNAA) values in the thalami (p=0.01, beta-coeff=-0.54), while
patients with slower walking speed, as measured by TWT, presented more
restricted tNAA and tCr diffusivity values in the thalami (p=0.01,
beta-coeff=-0.81 and p=0.04, beta-coeff=-0.56, respectively).
Discussion:
A reduced tNAA and tCr diffusivity was found in the
brain of patients with MS, which may reflect an ongoing neuro-axonal damage and
a simultaneous energy dysregulation affecting neurons and/or glial cells in
this disease. The reduction in ADC(tNAA) in the GM of patients with MS can be
interpreted through a structural deformation of neurons
6. Two
hypotheses may be proposed to explain the decrease in tCr diffusivity in this
disease: (i) an abnormal reduction of intercellular creatine transport; and/or
(ii) an impaired function of the creatine-kinase B
7, resulting in a
pathological increase in the phospocreatine/creatine
ratio.
Conclusion:
DWS allows to capture
in-vivo the ongoing neuro-axonal pathology as well as the potentially
reversible phase of energy dysregulation which could precede the onset of
neuro-axonal degeneration. This technique may offer the opportunity to
investigate the mismatch between energy demand and supply that could trigger
neurodegeneration in conditions of increased energy demand in MS.
Acknowledgements
B. Bodini is funded by the ARSEP research fellowship. The study was supported by the Grant ‘Institut des neurosciences translationnelle - ANR-10-IAIHU-06', and 'Infrastructure d’avenir en Biologie Santé - ANR-11-INBS-0006’.References
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