Jean-Baptiste Pérot1, Mathieu D Santin1,2, Anthony Ruze1,2, Lucas Soustelle3, Sana Rebbah1, Laura Mouton1, Romain Valabregue1,2, Miquel Vila4, and Stéphane Lehéricy1,2
1Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, Paris, France, 2Center for NeuroImaging Research (CENIR), Paris, France, 3Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 4Neurodegenerative Diseases Research Group, Vall d'Hebron Research Institute (VHIR), Autonomous University of Barcelona, Barcelona, Spain
Synopsis
Keywords: Quantitative Imaging, Multi-Contrast
Imaging
of the neuromelanin (NM) has recently developed as a relevant biomarker of Parkinson’s
disease (PD). Here, we present a longitudinal, quantitative, multiparametric
study on the AAV-hTyr rat model of PD with NM accumulation in the right
substantia nigra. Our protocol allowed to obtain NM-sensitive image, as well as
R1, R2* and qMT in a single session. Longitudinal acquisition on AAV-hTyr rats
showed inverted U-shaped curve of NM-MRI contrast-to-noise ratio, suggesting NM
accumulation followed by neurodegeneration. R1, R2*, MPF and motor symptoms support
this hypothesis. Our work may help to understand the pathogenesis of this PD
model and identify biomarkers.
Purpose
Parkinson’s disease (PD) is characterized by a
preferential degeneration of the dopaminergic neurons of the substantia nigra
(SN)1. Neuromelanin (NM) is a molecule
that accumulates in these specific neurons during normal aging. While the role
of NM in PD is poorly understood, recent imaging studies on PD patients have
shown the interest of NM-sensitive MRI (NM-MRI) as a biomarker of PD2,3. Indeed, neurodegeneration leads to
a reduction of the NM-MRI signal in the SN of PD patients4.
The AAV-hTyr rat model is a recent model of PD with
injection of viral vectors expressing human Tyrosinase, the rate-limiting
enzyme of peripheral melanin synthesis, in the SN5. AAV-hTyr rats develop a
parkinsonian syndrome including Lewy-bodies formation, neurodegeneration, and
motor symptoms following NM accumulation.
In the present study, we performed longitudinal
NM-MRI, quantitative multiparametric MRI (R1, R2*, MPF), and behavioural test
on a large cohort of AAV-hTyr rats. By assessing multiple MR parameters and
comparing them to NM-MRI, we aim at describing the pathogenetic process
following NM accumulation in the AAV-hTyr model.Methods
Animal experimentation: Forty 2-month-old male rats were injected with AAV-hTyr
unilaterally just above the right SN. Cylinder test for asymmetric forepaw use5 and MRI protocol using an 11.7T Bruker scanner were
performed before and 1, 2, 4 and 8 months post injection (mpi). Eight rats were
euthanized after each time point for histological validation.
MRI: Imaging protocol included
NM-sensitive T1-weighted (NM-MRI) sequence (FLASH, TR/TE=333/6.8ms, Resolution=150x150µm², 16
slices, slice thickness=0.4mm, tacq=12 min), three 3D gradient multi
echos with MT preparation (TR=47ms, TE1:ΔTE:TEL=1.71:1.91:30.36ms,
16 echos, Resolution=200µm isotropic, tMT_pulse=10ms, B1MT_pulse=7.8µT,
tacq=32min each), with respectively FA=6°, δMT=100kHz (MTOFF_FA6);
FA=24°, δMT=100kHz (MTOFF_FA24) and FA=6°, δMT=5kHz
(MTON_FA6). B1 map was acquired using the Actual Flip angle Imaging method6.
Image processing: Images were reconstructed and
coregistered for each animal to the MTOFF_FA6 image. Exponential
fitting of the signal from the 16 echos of MTOFF_FA6 image was
performed for R2* estimation. R1 was estimated from MTOFF_FA6 and MTOFF_FA24
images using the Variable Flip Angle method7. Macromolecular Proton Fraction
(MPF) was calculated from MTOFF_FA6, MTON_FA6, T1 and B1
maps using Yarnykh’s method8,9 (https://github.com/lsoustelle/qMT).
Multi-contrast template (MVtemplate)
was generated from R2*, T1 and MPF using antsMultivariateTemplateConstruction.sh
(Figure 1)10 from ANTS.
Ipsilateral region-of-interest
was manually segmented on NM-MRI images at 1mpi (Figure 2A). The segmentation
was then coregistered to other timepoints using nifty_reg11. For contralateral segmentation,
left SN was extracted from the Paxinos atlas12 and coregistered first to the
MVtemplate and then to every subject using ANTS. All statistics were calculated
with R using a Linear Mixed Model and pairwise posthoc comparison with FDR
correction.Results
NM-MRI and R1: Contrast-to-noise ratio (CNR)
between ipsi- and contralateral SN was significantly increased between baseline
and 1mpi (+450%, p<0.001) and 2mpi (+283%, p<0.001)(Figure 2B). Concordant
with this result, the R1 variation between ipsi- and contralateral SN was
significantly increased between baseline and 1mpi (+183%, p<0.01) and 2mpi
(+154%, p<0.01)(Figure 2C). Interestingly, both CNR and R1 seemed to
decrease with time between 1 and 4mpi.
R2*: R2* variation between ipsi- and
contralateral SN seemed to progressively increase in time. R2* was increased
between baseline and 2mpi (+246%, n.s.) and 4mpi (+607%, n.s.)(Figure 3).
MPF: Similarly, MPF variation seemed
to progressively increase. MPF was increased between baseline and 2mpi (+115%, n.s.)
and 4mpi (+127%, n.s.)(Figure 4).
Cylinder
test: There was a
significant effect of time on the proportion of left forepaw use with
significantly decreased proportion between baseline and 1mpi (-6.7%, p<0.05)
and 2mpi (-9.4%, p<0.05)(Figure 5).Discussion
The increase in NM-MRI CNR between ipsi-
and contralateral SN after injection can be attributed to NM accumulation in
the right SN as already described5. As NM-MRI is
T1-weighted, the increase of the quantitative parameter R1 is consistent with
this observation.
We hypothesize that the subsequent progressive
decrease of CNR is due to the neurodegeneration of SN melanized neurons. Previous
work showed that dopaminergic neurons of the SN of AAV-hTyr rats are significantly
degenerated at 4mpi5. Motor symptoms
further support this hypothesis, which will be confirmed by histology.
Besides, similarly to our observations, opposite effects of neurodegeneration and NM
accumulation are believed to be responsible for the inverted U-shape of the NM
signal that has been reported in humans during aging13. This process
could be exaggerated in PD.
R2* showed a trending increase in the
right SN 4mpi, as shown in the SN of PD patients14, in agreement
with hypothetic neurodegenerative time course. R2* increase can be attributed
to iron accumulation15.
Quantitative MT showed a trend to increased
MPF with a similar time course, indicative of accumulation of macromolecules in
the SN16. The 8mpi imaging
session, as well as histological examinations will investigate the contribution
of myelin and NM to MPF, and validate the time course of degeneration, NM and
iron accumulation.Conclusion
Altogether, our results showed that NM-MRI
seems to be sensitive not only to NM accumulation but also to neurodegeneration
in the AAV-hTyr rat model of PD, as confirmed by multicontrast quantitative
imaging. Results suggest that longitudinal quantitative imaging could help
understand the rôle of NM in the pathogenesis of PD and identify quantitative
MR biomarkers that could be transferred to clinical MRI in the context of PD.Acknowledgements
This project was funded by the ANR JPND NIPARK. All animal work was conducted at the ICM PHENOPARC Core Facility. The Core is supported by 2 “Investissements d’avenir” (ANR-10- IAIHU-06 and ANR-11-INBS-0011-NeurATRIS) and the “Fondation pour la Recherche Médicale”. We thank Nadège Sarrazin from PHENOPARC for her help.References
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