Energy dysregulation and neuro-axonal dysfunction in multiple sclerosis measured in-vivo with diffusion-weighted spectroscopy
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 metabolites1, 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 PRESS4 sequence was employed to measure diffusion of tNAA and tCr. A VOI of dimensions 25(AP)x13(RL)x20(FH)mm3 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) mm3 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 LCModel5. 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 neurons6. 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 B7, 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

1 Nicolay K, et al. S.W. et al. NMR Biomed. 14(2): 94 (2001)

2 Kurtzke JF, Neurology 33(11): 1444 (1983)

3 Cutter G.R., et al. Brain 122: 871 (1999)

4 Kan et al, MRM, 67: 1203 (2012)

5 Provencher S. Magn Reson Med 30: 672 (1993)

6 Wood E, et al, J Neurosci, 32: 6665 (2012)

7 Steen C, et al, PloS one. 5(5):e10811 (2010

Figures

Fig 1 – Examples of spectra acquired with and without diffusion weighting (blue and red line respectively) in the white matter outside visible lesions of one patient with multiple sclerosis. Insets: location of the volume of interest in the corona radiate.

Fig 2 – Examples of spectra acquired with and without diffusion weighting (blue and red line respectively) in the gray matter of one patient with multiple sclerosis. Insets: location of the volume of interest in the thalami.

Fig 3 – tNAA (a,b) and tCr (c,d) apparent diffusion coefficient (ADC) measured in healthy controls (HC, filled symbols) and patients with multiple sclerosis (MS, open symbols) in the white (a, c) and grey (b, d) matter. The ADC mean values and corresponding standard deviations are also shown. *p < 0.05.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
4064