Emilie Poirion1,2, Benedetta Bodini1, Marco Battaglini3, Theodore Soulier1, Léorah Freeman1, Daniel Lorenzo-Garcia1, Géraldine Bera1, Michel Bottlaender4, and Bruno Stankoff1
1Institut du Cerveau et de la Moelle Epinière/CNRS UMR 7225/INSERM 1127/UPMC UM75, Paris, France, Paris, France, 2CEA, DRF, I2BM, Neurospin, UNIRS, Paris, France, 3rtement of medecine, Surgery and Neuroscience, University of Siena, Siena, Italy, Italy, 4CEA, DRF, I2BM, Neurospin, UNIACT, Paris, France
Synopsis
We
explored the neuronal component of grey matter damage in the earliest
phase of multiple sclerosis (MS) with [11C]Flumazenil positron
emission tomography (PET). Using a novel post-processing approach
based on the generation of individual maps of neuronal pathology, we
found a significant neuronal damage in the cortical lesions of
patients with MS which preceded the occurrence of cortical atrophy,
and correlated with white matter lesion load. These results suggest
that cortical demyelination, together with retrograde degeneration of
transected axons within white matter lesions, are among the key
pathogenic contributors to neuronal cortical damage at the earliest
stage of the disease.
Introduction
Grey
matter (GM) damage has been identified as one of the major
pathological mechanisms responsible for disability progression in
multiple sclerosis (MS)1. The pathological substrate
underlying GM damage is complex, and includes cortical demyelination,
inflammation, synapse and dendrite loss, and neuronal cell death. One
of the key unanswered questions in the pathophysiology of MS is the
role played by the neuronal component of GM damage in the earliest
stage of the disease. We have recently proposed positron emission
tomography (PET) with [11C]Flumazenil
(FMZ), an antagonist of the central benzodiazepine site located
within the GABAA
receptor, as a promising biomarker to specifically identify and
measure the neuronal component of GM pathology in-vivo in patients
with MS2. The aim of this study is to explore neuronal damage
in the earliest phase of relapsing-remitting MS employing [11C]FMZ
PET to generate individual cortical maps of neuronal pathology, and
to investigate the relationship between the neuronal component of GM
damage and grey and white matter lesions.Methods
Eleven
patients within 2 years of the diagnosis of relapsing-remitting MS,
and 6 age- and gender- matched healthy controls (HC) were included in
this study and underwent a clinical and neuropsychological assessment
as well as a full imaging protocol on a 3T MRI scanner and a PET scan
with [11C]FMZ.
[11C]-FMZ
cortical binding was estimated using the partial saturation protocol,
which provides parametric maps of the absolute quantification of Bmax3 (Fig 1a), that reflects the concentration of GABAA receptor. Cortical
maps of significant differences in the tracer binding between
patients and HC, adjusted for age, gender and specific radioactivity
of injected doses, were therefore employed to establish a threshold
of significantly decreased tracer binding in each voxel, reflecting
the presence of selective neuronal damage (yielding a threshold of
30%). This allowed to generate individual maps of neuronal damage (Fig 1b),
which were used to calculate the percentage of abnormal voxels over
the whole cortical volume in each subject. Differences in GM
normalized volume between patients and HC were assessed using SIENAX4. Significant differences in mean [11C]FMZ
binding between cortical lesions and normal-appearing cortex in
patients, and the whole GM in HC, were estimated using linear
regressions adjusted for age and gender. In patients, the Spearman’s
rank correlation coefficient was used to explore the correlation
between the percentage of pathological voxels and white matter lesion
load.Results
While
we found no significant difference in normalized GM volume nor in
mean Bmax in normal appearing grey matter between patients and HC, a
significant decrease in Bmax was demonstrated between GM lesions in
patients and cortical GM in HC. (Patients: 93.9 ± 11.5 pmol/ml ; Controls: 108.0 ±8.9 pmol/ml) (p < 0.05) (Fig 2).
The degree of neuronal damage was heterogeneous across patients,
with the percentage of abnormal voxels ranging from 5% to 20% of
total cortical volume. A significant correlation was found between
the percentage of pathological voxels and white matter lesion load
(p=0.03, rho=0.64).Discussion & Conclusion
[11C]FMZ
PET allowed to measure in-vivo the neuronal component of GM damage
in patients with MS, which is detectable mainly in cortical lesions
since the earliest stage of the disease, before the onset of cortical
atrophy. Through the development of a novel post-processing
technique, we were able to generate individual maps of cortical
neuronal damage, which demonstrated heterogeneous levels of
pathological changes across the patient cohort. The decrease in Bmax
was mostly localized within cortical lesions, which suggests that
cortical demyelination might play a key role in determining neuronal
damage at the earliest stage of the disease. The significant
correlation we found between the percentage of cortical voxels
characterized by a decreased [11C]FMZ binding and white matter lesion
load, indicates that the Wallerian degeneration of transected axons
within white matter lesions could be another critical contributor to
the development of a secondary neuronal cortical damage5.
The relative contribution of these two pathogenic components to the
onset and the evolution of neuronal damage in early MS is currently
being investigated through the tractography-based reconstruction of
white matter tracts combined with the [11C]FMZ PET investigation of
neuronal damage in connected cortical targets.Acknowledgements
EP
was funded by the IUIS doctoral contract.
BB
was supported by the ARSEP post-doctoral
research fellowship.
TS,
LF, DLG, GB and MB have nothing to disclose.
BS
received honoraria from Biogen, Teva, Novartis, Genzyme, and research
support from Genzyme and Merck-Serono.
Research support:
Programme National de Recherche Clinique (PHRC), APHP-DRCD
(Assistance Publique des Hôpitaux de Paris), Investissements
d’avenir” ANR-10-IAIHU-06 grant, GMSI-Merck Serono 2014
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