Haishan Qiu1, Jing Zhao1, Manshi Hu1, Mengzhu Wang2, and Jianping Chu1
1Sun Yat-sen University, Guangzhou, China, 2Simens Healthcare, Guangzhou, China
Synopsis
There is an evolving history
of structural images with SCA3 patients in different disease stages. The WM
damage starts with the impairment of ICP and goes through SCP extends to the
midbrain, then widespread to the whole brain. The alteration of GMV does not
occur until the arise of ataxia symptom, then began to involve the medulla,
cerebellum, and pons, and developed to involve basal ganglion, finally affect
the cortical cortex. The impairment of WM tracts precedes the GM atrophy and,
irrespective of the patients with or without clinical manifestation, the
identified WM damage was significantly correlated with SARA.
Introduction
Spinocerebellar
ataxia type3 (SCA3) is an autosomal dominantly inherited disease caused by the
abnormal expansion of cytosine-adenine-guanine (CAG) triplet repeats in
encoding region of the ATXN3 gene. Currently, a handful of therapeutic options
are showing great prospects in treatments for fatal SCA3.
However, efficient laboratorial, clinical and imaging markers for fully track
SCA3, from its preataxic phase to the late stage are still in lack, moreover, the candidates for surrogate biomarkers of the presymptomatic stage were even rarer
described in the literatures. Besides, compared with
clinical biomarkers, the imaging biomarkers showed high effect sizes and were
more suitable for the RCT study and was most studied in the literatures. However, there were few brain structure researches
on presymptomatic SCA3 patients, and the results among
studies were variable. And the brain structural alterations of SCA3 in the pre-symptomatic
and symptomatic stage and how the structure changes during the follow-up in the
Asian group are still in need. Further, past studies all use DTI model to investigate the white matter (WM) damage of SCA3. DKI, though has been proved to be more
advanced in evaluation and diagnosis in various diseases, hasn’t been used in
evaluating SCA3. Thus, our research was to investigate the WM
and gray matter (GM) alterations of spinocerebellar ataxia
type 3 (SCA3) patients, from presymptomatic to the symptomatic stage, and to
analyze the correlations of these alterations with disease severity.Method
Prospectively enrolled 43
gene confirmed SCA3 patients (37 symptomatic (23 female, mean age 40.2y) and 15
presymptomatic (6 female, mean age 29.1y) patients) and 35 healthy controls
(HCs) (22F, mean age 38.5y) with similar age, sex and BMI in our study. All
cases were referred to whole brain DKI and T1mprage scanning. Both difference
of gray matter volume (GMV) and DKI parameters map including mean kurtosis
(MK), axial kurtosis (Ka), radial kurtosis (Kr), mean diffusion (MD) and
fractional anisotropy (FA) were analyzed via VBM and TBSS methods. The
correlations among the WM and GM alterations and the score of the assessment
and rating of ataxia (SARA) were analyzed by spearman analysis.Results
Compared
to HCs, pre-symptomatic patients showed WM microstructural abnormalities mainly
in bilateral cerebellar inferior peduncles (ICP), cerebral peduncles, posterior
lambs of internal capsule and medial lemniscus. Whereas, there was no significant
GMV difference was found. Meanwhile, the symptomatic patients, compared with
HCs, showed diffusely WM damaged (P<0.05,
TFCE correction) and had significantly reduced GMV in cerebellum, pons,
medulla, bilateral putamen, lentiform nucleus and significantly increased GMV
in the bilateral thalamus (P< 0.05, FWE correction). Besides, compared to
pre-symptomatic SCA3, symptomatic SCA3 showed WM damage in bilateral superior
cerebellar peduncles (SCP), cerebral peduncles, posterior lambs of internal
capsule, right posterior thalamic radiation (include optic radiation) and
superior corona radiata(P<0.05,TFCE correction)and had significantly
reduced GMV in pons. In addition, there was significant negative correlation
between DKI parameters and SARA scores in WM abnormalities of SCA3 patients with
or without clinical manifestation(P<0.05,TFCE correction) and,
unexpectedly, the SARA score was not significantly correlated with GMV (P> 0.05, FWE correction).conclusion
Our study indicates that
there is an evolving history of structural images with SCA3 patients in
different disease stages. The WM damage starts with the impairment of ICP and
goes through SCP extends to the midbrain, then widespread to the whole brain.
The alteration of GMV does not occur until the arise of ataxia symptom, then
began to involve the medulla, cerebellum, and pons, and developed to involve
basal ganglion, after the decompensation of bilateral dorsal thalamus, finally
affect the cortical cortex. The impairment of WM tracts precedes the GM atrophy
and, irrespective of the patients with or without clinical manifestation, the
identified WM damage was significantly correlated with SARA.Acknowledgements
Nothing to declare.References
1. Costa
MDC Recent therapeutic prospects for Machado-Joseph disease. Curr Opin Neurol.
2020;33(4):519-26.
2. Furtado
GV, Oliveira CM, Bolzan G, et al. State biomarkers for Machado Joseph disease:
Validation, feasibility and responsiveness to change. Genet Mol Biol. 2019;42(1
suppl 1):238-51.
3. Adanyeguh
IM, Perlbarg V, Henry P-G, et al. Autosomal dominant cerebellar ataxias:
Imaging biomarkers with high effect sizes. NeuroImage: Clinical.
2018;19(858-67.
4. Jacobi
H, Reetz K, du Montcel ST, et al. Biological and clinical characteristics of
individuals at risk for spinocerebellar ataxia types 1, 2, 3, and 6 in the
longitudinal RISCA study: analysis of baseline data. The Lancet Neurology.
2013;12(7):650-8.
5. Joers
JM, Deelchand DK, Lyu T, et al. Neurochemical abnormalities in premanifest and
early spinocerebellar ataxias. Ann Neurol. 2018;83(4):816-29.
6. Rezende
TJR, de Paiva JLR, Martinez ARM, et al. Structural signature of SCA3: From
presymptomatic to late disease stages. Annals of Neurology. 2018;84(3):401-8.
7. Wu
X, Liao X, Zhan Y, et al. Microstructural Alterations in Asymptomatic and
Symptomatic Patients with Spinocerebellar Ataxia Type 3: A Tract-Based Spatial
Statistics Study. Front Neurol. 2017;8(714.
8. de
Mattos EP, Leotti VB, Soong BW, et al. Age at onset prediction in
spinocerebellar ataxia type 3 changes according to population of origin. Eur J
Neurol. 2019;26(1):113-20.
9. Arruda
WO, Meira AT, Ono SE, et al. Volumetric MRI Changes in Spinocerebellar Ataxia
(SCA3 and SCA10) Patients. Cerebellum. 2020;19(4):536-43.
10. D'Abreu
A, Franca MC, Jr., Yasuda CL, et al. Neocortical atrophy in Machado-Joseph
disease: a longitudinal neuroimaging study. J Neuroimaging. 2012;22(3):285-91.
11. Akcimen
F, Ross JP, Liao C, et al. Expanded CAG Repeats in ATXN1, ATXN2, ATXN3, and HTT
in the 1000 Genomes Project. Mov Disord. 2020.
12. Gan
SR, Figueroa KP, Xu HL, et al. The impact of ethnicity on the clinical
presentations of spinocerebellar ataxia type 3. Parkinsonism Relat Disord.
2020;72(37-43.
13. Duarte
JV, Faustino R, Lobo M, et al. Parametric fMRI of paced motor responses
uncovers novel whole-brain imaging biomarkers in spinocerebellar ataxia type 3.
Hum Brain Mapp. 2016;37(10):3656-68.
14. Wang
PS, Wu YT, Wang TY, et al. Supratentorial and Infratentorial Lesions in
Spinocerebellar Ataxia Type 3. Front Neurol. 2020;11(124.
15. Hernandez-Castillo
CR, Diaz R, Campos-Romo A, et al. Neural correlates of ataxia severity in
spinocerebellar ataxia type 3/Machado-Joseph disease. Cerebellum Ataxias.
2017;4(7.
16. de
Rezende TJ, D'Abreu A, Guimaraes RP, et al. Cerebral cortex involvement in
Machado-Joseph disease. Eur J Neurol. 2015;22(2):277-83, e23-4.
17. Park
YW, Joers JM, Guo B, et al. Assessment of Cerebral and Cerebellar White Matter
Microstructure in Spinocerebellar Ataxias 1, 2, 3, and 6 Using Diffusion MRI.
Front Neurol. 2020;11(411.