Oun Al-iedani1,2, Karen Ribbons2, Saadallah Ramadan1,2, Rodney Lea2, and Jeannette Lechner-Scott2,3,4
1School of Health Sciences, University of Newcastle, Newcastle, Australia, 2Hunter Medical Research Institute (HMRI), Newcastle, Australia, 3School of Medicine and Public Health, University of Newcastle, Newcastle, Australia, 4Department of Neurology, John Hunter Hospital, Newcastle, Australia
Synopsis
This novel study evaluated the amount of axonal injury with neurometabolite in RRMS patients on fingolimod(N=52) and injectable(N=46)
treatments compared with 51 HCs in hippocampus using advanced MRS. PRESS-MRS of the hippocampal voxel(30x15x15mm3) and clinical
assessments for
RRMS and HCs were acquired. Hippocampal MR-spectra were analysed by LCModel.
Hippocampal-NAA/tCr decreased (fingolimod:-17%,p=0.001;injectables:-15%,p=0.01)
and in Glx/tCr increased (fingolimod:+16%,p=0.001;injectables:+15%,p=0.02) in
RRMS compared to HCs. Total-ARCS (r=0.402) and memory in particular (r=0.428)
displayed associations with hippocampal NAA/tCr. This study is the first
cross-sectional in-vivo investigation
comparing the impact of fingolimod and injectable treatments on the hippocampal
metabolism in RRMS patients.
Background
MRI has a prominent role in the diagnosis
and clinical management of MS pathology 1,2. However, disease in the normal-appearing
brain tissue is undetectable with routine imaging. Therapeutic trials using MRI have demonstrated the efficacy of many disease-modifying treatments (DMT) including injectable glatiramer acetate (GA),
interferon (IFN-b) and fingolimod in relapse-remitting MS (RRMS) in reducing
MRI-detected disease activity3,4.
Advanced MRI techniques
of proton magnetic resonance spectroscopy (H-MRS) enables monitoring metabolic alterations in relatively small
volumes of interest and can diagnose MS pathological processes in different
tissue types, for example, MS lesions and normal-appearing white matter (NAWM). However,
few studies have used H-MRS to monitor the response to DMTs in RRMS to assess
if immunomodulatory therapies can reverse or prevent the
progression of neuronal injury 5-7. H-MRS,has never been
used to assess cross-sectional and longitudinal effects of fingolimod and to
compare efficacy over time. In this study, we used
H-MRS to evaluate the amount of axonal injury and brain metabolites in RRMS
patients on DMTs with a different mode of action; fingolimod and injectables
(INJ). These were compared to healthy controls (HCs) in a cross-sectional
evaluation in hippocampus region. We also explored if hippocampal neurometabolic changes in RRMS were associated with severity of clinical symptoms.Materials and Methods
RRMS
patients aged between 20 to 55 years, who have been on fingolimod (N=52) or injectables
(IFN-b or GA, N=46) for a minimum of
six months were included in this study. HCs (N=51) were age and sex-matched to
the RRMS cohort. All MRI/MRS were undertaken on a 3T MRI Prisma scanner
equipped with a 64 channel coil at the Hunter Medical Research Institute,
Australia.
Isotropic T1-MPRAGE
(TR/TE/TI=2000/3.5/1100 ms, FOV: 256x256 mm, voxel size: 1mm3) as
well as 3D T2-FLAIR (TR/TE/TI=5000/386/1800ms) were acquired.
H-MRS of the hippocampus was
acquired using a Point RESolved Spectroscopy (PRESS) sequence acquired from hippocampal
region as shown in Figure 1.The following parameters were used:
TR/TE=2000/30ms, voxel size =30x15x15 mm3, averages= 96, RF offset
frequency =3.2 ppm and water suppression was enabled. All study participants
(RRMS and HCs) were clinically assessed for Audio Recorded Cognitive Screen (ARCS), Depression Anxiety
Stress Scales (DASS-21), Symbol Digit Modalities Test (SDMT), Modified Fatigue Impact Scale (MFIS) and Expanded Disability Status Scale (EDSS).
SPM 8 was used to segment
the spectroscopic voxel into CSF, grey matter (GM), white matter (WM). Lesions
within the MRS voxel were segmented using the lesion growth algorithm described
by Quadrelli
et al.9 Total brain volume,
including, peripheral grey matter and ventricular CSF volumes were calculated
with partial volume estimation in FSL FAST 10.
Single voxel H-MRS was
analysed with LCModel using a basis set specifically designed for 3T and
TE=30ms with water normalization. Sample of in-vivo hippocampal MR
spectra analysed by LCModel is shown in Figure 2.
To investigate the
significant difference between MS and HCs groups, T-tests were applied using
SPSS. The level of significant metabolic changes associated with the treatment
groups was assessed using General Linear Model followed by post hoc testing
using LSD. Correlation between clinical symptoms and metabolite levels was
performed using Spearman’s rho.
Results
Demographic and clinical
parameters of study cohorts are shown in Table 1. Using single voxel H-MRS,
cross-sectional analysis identified a statistically significant reduction in
hippocampal N-acetylaspartate/tCr (NAA/tCr) (fingolimod: -17%, p=0.001;
injectables: -15%, p=0.01) and increase in glutamine+glutamate(Glx/tCr) (fingolimod: +16%, p=0.001; injectables: +15%, p=0.02) in RRMS
at baseline, compared to HCs (Figure 3).
There was a positive
correlation between the levels of hippocampal myo-inositol (m-Ins) with the
overall severity of mood symptoms (DASS-21, r=0.364) and depression (r=0.368). Cognitive
domains evaluated by total ARCS (r=0.402) and memory in particular (r=0.428)
displayed associations with hippocampal NAA/tCr only at baseline. Other hippocampal neurometabolic levels total choline (tCho) and glycerophosphocholine
(GPC) were positively correlated with total brain
and grey matter volumes. Spectroscopic voxel segmentation of hippocampal region
and volume of brain fractions for RRMS patients compared to age and sex-matched
HCs at baseline are shown in Table 2.Discussion
Using H-MRS techniques, we
observed a significantly less NAA/tCr and more in Glx/tCr levels in hippocampus
in both fingolimod and injectable treatment groups, in comparison to age and
sex-matched healthy controls in the cross-sectional analyses. We confirmed the
importance of NAA and m-Ins as indicators of axonal loss and gliosis 11-13. The clinical symptoms that showed the best associations with
hippocampal metabolite levels in our RRMS (fingolimod group) were related to
mood status and cognitive domains. Our results are consistent with a previous
study11 that showed that decreasing NAA correlated with cognitive dysfunction.
Conclusions
The current study is the
first cross-sectional in-vivo
investigation comparing the impact of fingolimod, interferon or GA treatment on
the hippocampal metabolism in RRMS patients. Longitudinal studies are required
to further clarify metabolic differences over time, and to determine an
association between hippocampal metabolic levels and treatment efficacy.
However, our findings suggest that H-MRS of brain metabolites in this region yields
more sensitive markers than morphological changes.
Acknowledgements
Funding for this study provided by Novartis Pharmaceuticals Australia.
The authors thank the patients and controls who participated in this
study and the Imaging Centre of the University
of Newcastle and Hunter Medical Research Institute.References
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