Jitender Saini1, Veeramani Preethish Kumar2, Apurva Shah3, Manoj Kumar4, Madhura Ingalhalikar5, and Nalini Atchayaram 2
1Nueroimaging and Interventional Radiology, National Institute of Mental Health and, Bangalore, India, 2Neurology, National Institute of Mental Health and, Bangalore, India, 33Symbiosis Centre for Medical Image Analysis, Symbiosis International University, Pune, India, 4Neuroimaging and Interventional Radiology, National Institute of Mental Health and, Bangalore, India, 5Symbiosis Centre for Medical Image Analysis, Symbiosis International University, Pune, India
Synopsis
Duchenne muscular dystrophy (DMD), a
genetically inherited X-linked neuromuscular disorder characterised by
progressive muscle weakness and significant non-motor manifestations like poor
IQ, and neuropsychiatric illnesses. In this study, we evaluate white matter
(WM) abnormalities in DMD patients using diffusion tensor imaging (DTI). We
observed widespread WM changes in DMD patients and the presence of distal
mutation was associated with poor clinical and neuropsychological profile with
severe and spatially more WM abnormalities.
Purpose: Aim of the current work is to
comprehensively evaluate brain changes in a larger cohort of DMD children and
to investigate further the differences in WM abnormalities in two major
subtypes based on Dp140 expression using DTI.
Introduction: Duchenne muscular dystrophy (DMD) is
characterized by mutations in the DMD gene results in absent/non-functional muscle
dystrophin protein leading to severe progressive muscle weakness1
along with significant non-motor manifestations like poor IQ, reading
difficulties and increased prevalence of neuropsychiatric illnesses2–4.
The DMD gene contains multiple independent tissue-specific promoters, producing
several isoforms named according to their length and splicing patterns. The
isoform Dp427m is predominantly expressed in muscles and plays a role in
providing structural integrity to muscle fibers while Dp427c is expressed in
cortex and hippocampus, Dp427p in Purkinje cells and shorter Dp260 and Dp116
isoforms primarily are expressed in the retina and peripheral nerve5-6.
This current work aims to evaluate the brain abnormalities comprehensively
in a larger cohort of DMD children and to further investigate the differences
in WM abnormalities in two major subtypes based on Dp140 expression using DTI.
We hypothesize that patients with retained Dp140 (Dp140+) expression will have
relatively preserved WM as compared to patients with loss of Dp140 (Dp140-)
isoform.
Material & Methods: We evaluated
neuropsychological abnormalities and WM microstructural integrity in DMD
patients (N=60; proximal mutation=39 and distal mutation=21), and controls (N=40). DMD patients
were confirmed to have deletions by MLPA test7.
Neuropsychological Assessments were performed to assess
the functionality, IQ, auditory verbal learning memory and WISC-III to assess
Verbal, Performance, and Full-scale IQ, Verbal Comprehension, Perceptual
Organization Index in all the children.
MRI: MRI were obtained on 3T Philips
Achieva using 32-channel head-coil. A High-resolution 3D TFE T1W-images were
acquired (TR/TE=9.8/4.6ms, and spatial-resolution=1x1x1mm). Single-shot
spin-echo echo-planar DTI sequence with following parameters: TR/TE=5000/=65ms;
resolution=2.0x2.0x2.0mm; non-coplanar diffusion directions=15, b value=0 and
1000s/mm2; with 2-repetitions.
Data processing and analysis: Diffusion data analysis
was carried out using FMRIB Software Library tools (www.fmrib.ox.ac.uk/fsl)
version- 5.0.11. WM integrity was examined using whole-brain TBSS and Multiple
WM ROIs were defined using JHU-WM atlas, which is a probabilistic atlas generated
by mapping DTI data of healthy subjects to a template image. The mean diffusion
metric values of each ROI for each subject were extracted for atlas-based
analysis. DMD subgroups based on deletion location were grouped into proximal
(Dp 140+) and distal (Dp 140-). Neuropsychological scores and DTI metrics were
compared between patients and controls and also between DMD subgroups.
Statistical Analysis: A comparison was carried
using an independent sample t-test/Wilcoxon signed-rank test based on normality.
For the group analysis on the WM tracts between two groups, ANOVA was employed
to analyze all the mean diffusion metric values followed by the pairwise
comparison with Bonferroni correction for multiple comparisons. Pearson’s
correlation coefficient was computed, and the significance threshold was
maintained at p-value<0.01. All the data were analyzed using SPSS-21.
Results: The mean age of DMD and controls
were 8.0±1.2years and 8.2±1.4years, respectively. Mean age at disease onset in
DMD subgroup was 4.1±1.8years and mean illness duration was 40.8±25.2months
(Table 1). We observed a significant difference in neuropsychological scores
between DMD children with proximal and distal gene mutations and severe
impairments noted in distal mutation (p<0.05) (Table 2 & 3). In patients
with the proximal mutation, only localized FA changes were seen involving
corpus-callosum, parietal WM, and Fornix. The distal subgroup showed widespread
reduced FA and increased diffusivity in WM (Fig. 1). Compared to DMD children
with proximal mutation, distal mutation showed increased axial diffusivity in
various WM regions. No significant correlation was noted between clinical and
neuropsychological scores with diffusion metrics (Fig. 2 and 3).
Discussion: In this present study, we have
reported microstructural changes within DMD subgroup (i.e. proximal and distal
mutation) using DTI. The current study revealed impaired IQ and neuropsychological
abnormalities along with brain abnormalities, which were more severe in distal
mutation Dp140-subgroup, and these findings are inlined with the previous studies2-4.
We also observed widespread WM changes in DMD patients and the presence of the
distal mutation was associated with poor clinical and neuropsychological
profile with severe and spatially more WM abnormalities3, 8-11. Our
DTI findings demonstrate widespread WM alterations involving both
supratentorial and infratentorial WM12, 13. Between-group comparison
of proximal and distal mutations with healthy controls using TBSS revealed
significantly higher MD, RD, and AD values in distal mutation. In contrast, the
proximal mutation demonstrates spatially localized abnormal FA values with no
significant changes in MD. Similar findings were also noted on atlas-based
analysis of tract diffusion metrics.
Conclusion: Our DTI finding suggests that DMD
children with proximal mutation preserved the brain microstructural integrity
while DMD children with distal mutation demonstrate widespread structural WM
abnormalities with the poor clinical and neuropsychological profile.Acknowledgements
No acknowledgement found.References
1. Bushby K, Finkel R, Birnkrant DJ, et al. Diagnosis and
management of Duchenne muscular dystrophy, part 1: diagnosis, and
pharmacological and psychosocial management. Lancet Neurol 2010;9:77–93.
2. Pane M, Lombardo ME, Alfieri P, et al. Attention
deficit hyperactivity disorder and cognitive function in Duchenne muscular
dystrophy: phenotype-genotype correlation. J Pediatr 2012;161:705-709.e1.
3. D’Angelo MG, Lorusso ML, Civati F, et al.
Neurocognitive profiles in Duchenne muscular dystrophy and gene mutation site.
Pediatr Neurol 2011;45:292–9.
4. Banihani R, Smile S, Yoon G, et al. Cognitive and
Neurobehavioral Profile in Boys With Duchenne Muscular Dystrophy. J Child
Neurol 2015;30:1472–82.
5. Muntoni F, Torelli S, Ferlini A. Dystrophin and
mutations: one gene, several proteins, multiple phenotypes. Lancet Neurol
2003;2:731–40.
6. Doorenweerd N, Mahfouz A, van Putten M, et al. Timing
and localization of human dystrophin isoform expression provide insights into
the cognitive phenotype of Duchenne muscular dystrophy. Sci Rep 2017;7:12575.
7. Miller SA, Dykes DD, Polesky HF. A simple salting out
procedure for extracting DNA from human nucleated cells. Nucleic Acids Res
1988;16:1215.
8. Taylor PJ, Betts GA, Maroulis S, et al. Dystrophin
gene mutation location and the risk of cognitive impairment in Duchenne
muscular dystrophy. PloS One 2010;5:e8803.
9. Cotton S, Voudouris NJ, Greenwood KM. Intelligence and
Duchenne muscular dystrophy: full-scale, verbal, and performance intelligence
quotients. Dev Med Child Neurol 2001;43:497–501.
10. Snow WM, Anderson JE, Jakobson LS. Neuropsychological
and neurobehavioral functioning in Duchenne muscular dystrophy: A review.
Neurosci Biobehav Rev 2013;37:743–52.
11. Hinton VJ, Fee RJ, Goldstein EM, et al. Verbal and
memory skills in males with Duchenne muscular dystrophy. Dev Med Child Neurol
2007;49:123–8.
12. Fu Y, Dong Y, Zhang C, et al. Diffusion tensor imaging
study in Duchenne muscular dystrophy. Ann Transl Med 2016;4.
13. Acosta-Cabronero J, Williams GB, Pengas G, et al.
Absolute diffusivities define the landscape of white matter degeneration in
Alzheimer’s disease. Brain J Neurol 2010;133:529–39.