Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2018 Mar 30;13(3):e0194636. doi: 10.1371/journal.pone.0194636

Influence of full-length dystrophin on brain volumes in mouse models of Duchenne muscular dystrophy

Bauke Kogelman 1, Artem Khmelinskii 2,3, Ingrid Verhaart 4, Laura van Vliet 4, Diewertje I Bink 1,5, Annemieke Aartsma-Rus 4, Maaike van Putten 4, Louise van der Weerd 1,4,*
Editor: Michael Kyba6
PMCID: PMC5877835  PMID: 29601589

Abstract

Duchenne muscular dystrophy (DMD) affects besides muscle also the brain, resulting in memory and behavioral problems. The consequences of dystrophinopathy on gross macroscopic alterations are unclear. To elucidate the effect of full-length dystrophin expression on brain morphology, we used high-resolution post-mortem MRI in mouse models that either express 0% (mdx), 100% (BL10) or a low amount of full-length dystrophin (mdx-XistΔhs). While absence or low amounts of full-length dystrophin did not significantly affect whole brain volume and skull morphology, we found differences in volume of individual brain structures. The results are in line with observations in humans, where whole brain volume was found to be reduced only in patients lacking both full-length dystrophin and the shorter isoform Dp140.

Introduction

Duchenne muscular dystrophy (DMD) is an X-linked neuromuscular disease characterized by severe and progressive muscle weakness. DMD is caused by frameshift or non-sense mutations in the DMD gene preventing synthesis of functional dystrophin proteins. Dystrophin links the intracellular cytoskeleton of muscle fibers to the extracellular matrix, thereby providing structural stability during contractions [1]. In the absence of dystrophin, fibers are more injury-susceptible and replaced by connective and adipose tissue upon exhaustion of the regenerative capacity of the muscle. Consequently, Duchenne patients develop muscle weakness, leading to wheelchair dependency before or in their early teens [24]. Respiratory and cardiac function are also affected and despite respiratory support, patients die between the 2nd to 4th decade of life due to cardiorespiratory failure [5].

DMD patients also present with cognitive impairments. They have an intelligence quotient approximately one standard deviation below the mean [6], their verbal short term memory is affected [7], they exhibit long-term memory problems and language impairments [8,9]. Additionally, DMD patients are more prone to epilepsy [10,11] and have a higher incidence for attention deficit hyperactivity disorder (ADHD), autism spectrum disorder and obsessive-compulsive disorder [1214].

The DMD gene has multiple promoters coding for distinct dystrophin isoforms. The full-length isoforms are expressed mainly in muscle (Dp427m) and cortical neurons (Dp427c), whereas the Dp427p isoform was recently found to be only expressed in mouse but not human brain [15]. Besides full-length dystrophin, there are five known smaller isoforms (Dp260, Dp140, Dp116, Dp71 and Dp40) which are all named according to their molecular weight [1618]. Dp260 is predominately expressed in the retina [19,20], Dp140 is expressed in the central nervous system, retina and kidney, Dp116 is expressed in Schwann cells of the spinal cord and Dp71 and Dp40 are expressed in brain tissue [10,16,2126]. Cognitive impairment is most prominent in patients with mutations in distal parts of the DMD gene, associated with the loss of both full-length and one or multiple of the shorter isoforms [8,27,28].

However, it is unclear what the consequences of dystrophinopathy are on brain morphology [16]. In humans, one magnetic resonance imaging (MRI) study showed a subtle, but significant decrease in whole brain volume in the order of 5% for DMD patients compared to healthy controls [29]. This difference was mainly observed in patients lacking Dp140 in addition to Dp427, consistent with the more severe cognitive phenotype in these patients. Next to this, dystrophinopathy is associated with aberrant skull shape, which was found to be more circular shaped [30].

Studies of brain function and morphology in mouse models of DMD are equally sparse. The mdx mouse is the most commonly studied DMD model, which lacks full-length dystrophin due to a point mutation in exon 23 of the murine Dmd gene. Similar to patients, absence of Dp427 in the mdx mouse is associated with behavioral and social impairments, such as enhanced freezing response in reaction to danger and altered ultrasonic vocal communication [3133]. Learning and memory performance were also found to be impaired in some studies [3437], though others report that spatial memory is largely unaffected [38,39]. Brain morphology of mdx mice has been reported in two studies [40,41]. Both studies found no significant difference in brain volume between mdx and wild type mice. However, these studies were underpowered and the scan resolutions were inadequate to detect the subtle differences in brain volumes found in DMD patients.

The aim of the present study was therefore to investigate the brain morphology of two different DMD mouse models, namely the well-known mdx mouse and the mdx-XistΔhs model, which expresses varying low amounts of full-length dystrophin in muscle and brain based on non-random X-inactivation [42,43]. We used high resolution post-mortem MRI followed by automatic segmentation to determine the volume of a large number of brain structures and to assess the skull shape.

Materials and methods

Animals

Mice were bred at the animal facility of the Leiden University Medical Center, where they were housed in individually ventilated cages at 20.5°C with 12-hour dark-light cycles and given standard RM3 chow (SDS, Essex, UK) and water ad libitum. Post-mortem magnetic resonance imaging (MRI) scans were obtained in n = 10 C57BL/10ScSn-mdx/J (mdx), n = 7 C57BL/10ScSnJ (BL10), n = 9 mdx-XistΔhs and n = 9 C57BL/10ScSnJ-XistΔhs (BL10-XistΔhs) mice aged three months.

To generate the mdx-XistΔhs model [42], breeding pairs of mdx males (carrying a mutated Dmd gene) and XistΔhs females (carrying a mutated Xist gene) were used. Due to preferential inactivation of the X-chromosome carrying the mutated Xist gene, but intact Dmd gene, female mdx-XistΔhs offspring express low and varying amounts of full-length dystrophin in skeletal muscle, heart and the brain. XistΔhs mice were also crossed with C57BL/10ScSnJ mice resulting in C57BL/10ScSnJ-XistΔhs wild types to allow comparisons with mdx-XistΔhs mice without genetic background interference. All mice studied were female, inherent to the mdx-XistΔhs strain. To confirm that mdx-XistΔhs mice express low levels of full-length dystrophin in the brain, whole brains were isolated of n = 7 mdx-XistΔhs, n = 1 XistΔhs and n = 1 mdx 18-months old female mice for Western blot analyses. Expression levels of Dp427c, Dp427p and Dp71 were assessed in the brains of a different set of 18-months old animals (n = 5 mdx, n = 5 BL10 and n = 7 mdx-XistΔhs females). All experiments were approved and executed following EU-guidelines and efforts were made to minimize the burden and distress. Animal welfare was monitored on a daily basis and none of the mice reached the humane endpoints. The brains were harvested after completion of independent studies on the muscles, which were approved by the Animal Experimental Committee of the LUMC (permits 11145 and 12208) and included the approval for sacrifice of the mice.

Tissue preparation

At the age of three months, mice were anesthetized with either 2% isoflurane or intraperitoneal injection of 200 μL of Hypnorm®/Dormicum®, depending on availability, and perfused for one minute with 1x phosphate buffer saline (PBS) and for four minutes with 4% paraformaldehyde (PFA). The skull was freed from skin and fat tissue, stored in 4% PFA overnight and was then transferred to 4% PFA + 1:40 v/v Gadoteric acid 0.5 mmol/mL (Dotarem®) at 4°C for at least three weeks to increase contrast. Then they were transferred to a solution of 1x PBS, 1:40 v/v Dotarem® and 0.01% sodium azide and after two days a MRI scan was acquired.

Magnetic resonance imaging

Images of the brain were acquired on a 7 Tesla PharmaScan® (Bruker BioSpin, Ettlingen, Germany) equipped with a 370 mT/m gradient system with ParaVision® 5.1 software. The skull was placed in a 15 mL Falcon™ tube filled with a proton-free fluid, Fomblin® (Solvay, Belgium), to prevent susceptibility artefacts induced by tissue-air interfaces. A 23-mm diameter volume coil was used to acquire high resolution 3-dimentional gradient echo (FLASH) images with echo time 5.3 ms; repetition time = 15 ms; flip angle = 30°; FOV = [18 x 13 x 13]mm; zero-filling = 1.34; image matrix size = [256 x 186 x 186]; acquisition matrix size = [256 x 140 x 140]; isotropic spatial resolution = 0.070 mm; number of averages = 12; number of dummy scans = 10; receiver bandwidth = 50,000 Hz.

Four mice were excluded from analysis; two mdx and two mdx-XistΔhs mice. The brain of one mdx mouse was not completely located inside the field of view and the scans of the other three mice contained imaging artefacts. All remaining brains were successfully processed.

Image registration and brain volumetric analysis

The registration scheme included registration of each subject brain to a template brain. For the template brain, volumes of interest (VOIs) for the whole brain and 22 anatomical structures were manually segmented based on the Waxholm mouse brain atlas [44], the Franklin and Paxinos atlas [45,46] and the Allen Brain Atlas [47] using AMIRA (v5, FEI Software, Oregon, USA) [48]. Next to this, the 22 anatomical structures were either classified as white or grey matter, according to S1 Table. The whole brain volume was defined as the brain tissue limited caudally by the cerebellum and rostrally by the rhinal fissure. Using the information provided by the inverse deformation field for each subject-to-template registration, the template VOIs were propagated to the individual datasets, enabling quantitative comparison of corresponding areas. The VOIs were evaluated quantitatively for volume change.

Two independent observers verified the quality of the registration by visual inspection, using a custom-made graphic user interface built with MeVisLab (v2.7, MeVis Medical Solutions AG, Bremen, Germany) [49]. The registration was implemented using the open source image registration toolbox Elastix [50] and performed in a coarse-to-fine process. Initially, rigid registration was performed to compensate for translation and rotation. Afterwards, an affine registration was conducted to compensate for differences in brain size, followed by a non-rigid B-spline registration to compensate for local changes. A Gaussian image pyramid was employed in all registration steps, applying four resolutions for the rigid and B-spline and two for the affine registration. Mutual information was used as a similarity metric. The two independent observers were not blinded; however, no manual alterations were needed as the registration of all subject brains passed the quality control. Detailed information on the used registration parameters can be found on the Elastix website (http://elastix.bigr.nl/wiki/index.php/Par0033).

Skull morphology analysis

To assess skull morphology, the ratios of the length of the major and minor axis of the skull of mdx and BL10 mice were assessed on axial and coronal MRI planes in Osirix Lite v7.5. This ratio is directly related to skull eccentricity which is known to be different in DMD patients. The coronal plane was set to mid-corpus callosum and the axial plane was rostrally set to the mid-olfactory bulb and caudally set to the second white matter branching of the arbor vitae in the cerebellum (S1 Fig).

Dystrophin quantification

Dystrophin levels were determined by means of Western blot. In total seven mdx-XistΔhs mice brains were measured. The brain tissue was homogenised in 400 μl protein isolation buffer (20% SDS and 100 mM Tris-HCl pH 6.8) in the MagNA Lyser (Roche Diagnostics, The Netherlands). After centrifuging (4°C, 20.817 rcf, 10 minutes), the supernatant was removed and the pellet resuspended in 200 μl protein isolation buffer. An aliquot was used to determine protein concentration with the BCA protein assay kit (Thermo Scientific, USA).

Sample buffer (75 mM Tris-HCl pH 6.8, 15% SDS, 20% glycerol, 5% β-mercaptoethanol, 0.0008% bromophenol blue) was added to the samples and the size marker (HiMark Pre-stained Protein Standard, Thermo Scientific, USA), which were then boiled at 90°C for five minutes. Total protein (60 μg) was loaded onto a 3–8% Criterion XT Tris-Acetate gel (Bio-Rad, USA) and a calibration curve was made by diluting wild type lysate in mdx protein lysate. The gel was run at 75V for one hour and at 150V for one and a half hour consecutively, the buffer was refreshed at the voltage change. The gel was then blotted onto a nitrocellulose membrane with the Trans-Blot Turbo system (Bio-Rad, USA) at 2.5A for 10 minutes. The blot was incubated in blocking buffer (5% non-fat dried milk (Elk, Campina, The Netherlands) in Tris Buffered Saline (TBS) with 0.005% Tween20 (TBST)) for one hour. Afterwards the blot was washed (15 minutes in TBST) and incubated overnight with the primary antibody NCL-DYS1 (dilution 1:50, Novocastra, UK) to detect dystrophin and with anti-Post Synaptic Density Protein 95 (dilution 1:5000, Millipore, USA) as a loading control in TBS. The blot was washed in TBST and incubated with the secondary antibody IRDye 800CW goat-anti-mouse IgG (dilution 1:5000, Li-Cor, USA) for one hour. Blots were washed (two times for 20 minutes in TBST and one time for 20 minutes in TBS) and visualized with the Odyssey system (Li-Cor, USA).

RT-qPCR analysis

Total RNA was isolated from the whole brain with TRIsure (LifeGene, Israel) and purified with the NucleoSpin RNA II kit including a DNAse digestion (Bioke, the Netherlands) according to the manufacturer’s instructions. RNA concentration was measured on a Nanodrop (Nanodrop Technologies, USA). cDNA was synthesised with random hexamer primers and gene expression levels were determined by Sybr Green based Real Time qPCR (95°C 10 sec, 60°C 30 sec, 72°C 20 sec. 50 cycles followed by melting curve determination) on the Roche Lightcycler 480 (Roche diagnostics Ltd, UK). Expression of Dp427c, Dp427p and Dp71 were analysed, together with the Rpl22 housekeeping gene which was used as reference. Primer efficiencies were determined with LinREgPCR version 11.1 [51]. The Cp values were obtained with the second derivative maximum method and analysed. The used primer sequences are given in S2 Table.

Statistics

A one-way ANOVA analysis with a Tukey’s post-hoc test was performed to compare body mass, whole brain volume and gene expression among all strains. Genetic background appeared to have a large impact on whole brain volume, preventing direct comparisons between all strains. Therefore, mdx mice were directly compared to BL10 mice (both BL10 background) and mdx-XistΔhs to BL10-XistΔhs mice (both a mixed BL10 and BL6 background).

The 22 brain structures, grey and white matter were compared using Welch’s T-tests. To correct the 22 brain structures for multiple comparisons, the P-values were corrected using the false discovery rate method by Benjamini and Hochberg [52,53]. The false discovery rate was set to 5%, defined as the expected maximum rate of the tested structures to be false positive. R (3.3.0) [54] in RStudio (1.0.143) [55] was used for all statistical tests.

Results

To study the effects of dystrophinopathy on brain morphology, we acquired post-mortem MRI scans of fixated brains of two different DMD mouse models (mdx and mdx-XistΔhs mice) and genetically corresponding wild type strains. The fixation procedure of the brains impeded us to assess full-length dystrophin levels in the mdx-XistΔhs tissues. We therefore confirmed in another cohort of mdx-XistΔhs mice low full-length dystrophin protein levels in the brain (Fig 1A). In addition, we confirmed full-length (Dp427c and p) and Dp71 mRNA expression in all strains. Dp427c expression was higher in BL10 compared to mdx-XistΔhs mice (Fig 1B), but not compared to mdx mice (P = 0.052), while the expression of other isoforms was comparable between strains.

Fig 1. Dystrophin expression in mdx-XistΔhs mice.

Fig 1

A: Representative Western blot of mdx-XistΔhs brains revealed that mice expressed low levels of full-length dystrophin in their brain. Levels varied between individuals but were below 20% in all mice. Post Synaptic Density Protein 95 (Psdp95) served as a loading control. Wildtype samples for the concentration series were diluted in mdx protein lysate to ensure equal protein loading of all samples. B: mRNA expression levels of neither full-length nor Dp71 differed between mdx and BL10 mice. However, expression of Dp427c was higher in BL10 compared to mdx-XistΔhs mice. Error bars represents the standard deviation. Asterisk indicates P<0.05.

The MRI scans revealed that volumes of the whole brain and of the 22 individual brain structures were comparable between the groups (Table 1). The whole brain volume of mdx mice was not significantly different compared to BL10 mice (464 ± 14.3 mm3 vs 457 ± 9.8 mm3). Volumes of the 22 segmented structures were normalized to whole brain volume instead of body mass, as the latter was not equally distributed (P = 0.02) among the four strains. Mdx mice had a higher body mass compared to both wild type and mdx-XistΔhs mice (Table 1). This difference is associated with the pathological muscle hypertrophy in mdx mice at the age of 12 weeks [56] and not due to growth abnormalities.

Table 1. Volumes (in mm3) of 22 brain structures in mouse models of Duchenne muscular dystrophy.

The volumes of 22 segmented brain structures in mdx, BL10, mdx-XistΔhs and BL10-XistΔhs mice are presented in mm3. Body mass was measured just before sacrificing the mice, except for two mdx-XistΔhs mice of which body mass was not obtained. The volumes of these 22 structures were normalized to whole brain volume and compared using Welch’s T-tests within each genetic background (mdx vs BL10 and mdx-XistΔhs vs BL10-XistΔhs) and corrected for multiple comparisons using the false discovery rate. The corresponding P-values are presented and structures which are significantly different in volume are written in bold. The hippocampus, globus pallidus, caudate putamen and hypothalamus were different between mdx and BL10 mice. Thirteen structures were different between mdx-XistΔhs and BL10-XistΔhs mice, consisting of a mixture of both grey and white matter structures.

Mdx BL10 P-value mdx-XistΔhs BL10-XistΔhs P-value
Number of included mice 8 7 7 9
Body mass (g) 26.58 ± 2.15 23.47 ± 1.08 0.004 23.10 ± 0.73 24.60 ± 2.74 0.153
Whole brain 464.067 ± 14.289 457.096 ± 9.762 0.286 501.533 ± 13.350 498.019 ± 18.551 0.666
Grey matter 267.935 ± 7.113 259.806 ± 4.427 0.027 289.803 ± 8.517 279.584 ± 9.808 0.000
White matter 20.232 ± 0.749 19.270 ± 0.680 0.059 22.194 ± 0.943 19.653 ± 1.031 0.000
Hippocampus 25.351 ± 1.293 23.581 ± 0.550 0.018 27.218 ± 1.254 25.965 ± 1.047 0.046
Globus pallidus 1.676 ± 0.086 1.507 ± 0.051 0.027 2.011 ± 0.056 1.747 ± 0.069 0.000
Caudate putamen 23.509 ± 0.804 21.904 ± 0.433 0.026 26.417 ± 0.892 23.398 ± 0.475 0.000
Hypothalamus 8.576 ± 0.253 8.801 ± 0.330 0.044 9.183 ± 0.391 9.139 ± 0.563 0.905
Anterior commissure 0.921 ± 0.025 0.856 ± 0.030 0.083 1.006 ± 0.038 0.903 ± 0.044 0.001
Periaqueductal gray 3.152 ± 0.146 2.976 ± 0.138 0.113 3.686 ± 0.236 3.309 ± 0.207 0.009
Internal capsule 1.562 ± 0.100 1.443 ± 0.063 0.101 1.885 ± 0.087 1.568 ± 0.079 0.000
Fornix 0.200 ± 0.006 0.187 ± 0.012 0.188 0.220 ± 0.014 0.205 ± 0.012 0.098
Amygdala 8.716 ± 0.418 8.301 ± 0.248 0.194 9.602 ± 0.368 9.019 ± 0.494 0.002
Corpus callosum 13.933 ± 0.578 13.287 ± 0.434 0.196 15.181 ± 0.647 13.640 ± 0.754 0.000
Septal nucleus 4.194 ± 0.113 3.946 ± 0.258 0.182 4.444 ± 0.297 3.835 ± 0.203 0.002
Olfactory bulb 26.803 ± 1.710 27.402 ± 0.758 0.197 28.378 ± 0.843 28.970 ± 2.165 0.330
Interpeduncular nucleus 0.223 ± 0.015 0.228 ± 0.010 0.248 0.239 ± 0.006 0.228 ± 0.020 0.302
Nucleus accumbens 3.799 ± 0.045 3.663 ± 0.118 0.311 4.060 ± 0.171 3.772 ± 0.175 0.002
Fimbria 3.617 ± 0.188 3.497 ± 0.248 0.764 3.903 ± 0.281 3.336 ± 0.231 0.002
Inferior colliculus 5.218 ± 0.077 5.075 ± 0.323 0.720 6.220 ± 0.215 6.081 ± 0.338 0.456
Ventricles 1.191 ± 0.025 1.162 ± 0.055 0.687 1.291 ± 0.083 1.178 ± 0.074 0.021
Cortex 143.851 ± 3.298 140.930 ± 2.608 0.653 151.010 ± 4.942 149.281 ± 6.529 0.623
Midbrain thalamus 38.406 ± 1.290 37.941 ± 0.910 0.726 43.735 ± 1.465 42.048 ± 1.215 0.004
Superior colliculus 8.457 ± 0.413 8.393 ± 0.336 0.700 9.614 ± 0.375 9.408 ± 0.521 0.413
Cerebellum 51.859 ± 2.532 50.917 ± 2.050 0.833 58.717 ± 2.073 59.774 ± 3.028 0.116
Substantia nigra 1.383 ± 0.067 1.362 ± 0.044 0.992 1.547 ± 0.070 1.493 ± 0.045 0.189

Four out of the 22 brain structures were significantly different in volume in mdx mice compared to BL10 controls after adjustment with the false discovery rate, as shown in Table 1. These structures consisted of both grey and white matter: the hippocampus, globus pallidus and caudate putamen were larger, while the hypothalamus was smaller (Fig 2A). When grouped to grey and white matter, only grey matter was significantly larger in mdx mice.

Fig 2. The volumes of 22 segmented brain structures in mdx, BL10, mdx-XistΔhs and BL10-XistΔhs mice were compared within each genetic background (mdx vs BL10 and mdx-XistΔhs vs BL10-XistΔhs).

Fig 2

The brain structures found significantly different in volume after false discovery rate correction are shown and consisted of both grey and white matter structures for both comparisons. Coronal, sagittal and axial planes are shown indicated by white lines. A: Comparison between mdx and BL10 showed four different brain structures: the hippocampus, globus pallidus, caudate putamen and hypothalamus. B: Comparison between mdx-XistΔhs and BL10-XistΔhs showed 13 different structures.

In mice with a genetic mixed BL10/BL6 background (mdx-XistΔhs and BL10-XistΔhs), significantly larger whole brain volumes were found compared to mice with a pure BL10 background (mdx and BL10). In mdx-XistΔhs mice, 13 of the 22 brain structures were significantly increased in volume compared to BL10-XistΔhs mice (Fig 2B) after false discovery rate adjustments. The same brain structures enlarged in mdx mice were also enlarged in mdx-XistΔhs mice, except for the hypothalamus.

We compared the above MRI findings to known full-length dystrophin expressing regions in mice: the cortex, hippocampus, cerebellum and amygdala [31]. Out of all these dystrophin-expressing structures only the hippocampus was significantly larger in mdx (P = 0.018) and mdx-XistΔhs (P = 0.046) mice, compared to their wild type counterparts. The other full-length dystrophin-expressing structures (cortex and cerebellum) did not show differences in volume (cortex P = 0.653 and P = 0.623, cerebellum P = 0.833 and P = 0.116, respectively for mdx and mdx-XistΔhs mice), while the amygdala was only significantly larger in mdx-XistΔhs mice (P = 0.002).

Lastly, we analyzed skull morphology in mdx and BL10 mice to assess skull eccentricity, which is altered in DMD patients [30]. No differences were found in skull eccentricity between mdx and wild type mice (P = 0.50 for the axial and P = 0.33 for the coronal plane (S1 Fig)).

Discussion

This study utilized high resolution MRI to investigate volumes of individual brain structures in DMD mouse models in detail. Whole brain volume was not significantly increased in mdx mice compared to BL10 mice. This is in line with two previous MRI studies, where six-month-old mdx and BL10 mice had a whole brain volume of 473.19 ± 9.23 mm3 and 465.87 ± 6.82 mm3 respectively [40]. A study in 12-month-old mdx and BL10 mice found a non-significant increase in whole brain volume normalized to body mass [41]. While both previous studies and this study found a mild increase in brain volume, none of these differences were significant, which may be attributed to the small sample size (n = 8, n = 15 and n = 17 respectively).

The low amounts of full-length dystrophin protein in the whole brain of mdx-XistΔhs mice were in agreement with a previous study which quantified dystrophin protein in heart tissue [57], also an organ with minimal cell renewal, showing varying dystrophin levels between 3 and 15%. Messenger RNA levels of both full-length and Dp71 dystrophin were not significantly different between mdx and BL10 mice, though it tended to be lower in mdx mice, which was also found by Perronnet et al. [58]. We contribute the detected brain volume differences in this study to the absence or low amounts of full-length dystrophin, since no clear difference was observed for Dp71 expression levels.

In contrast to previous studies [40,41], we segmented the volumes of 22 brain structures. We observed wide spread structural changes, consisting of both grey and white matter structures, in mice lacking dystrophin and in mice with low levels of dystrophin compared to their genetic background matched controls. From the full-length dystrophin expressing regions in mice, volumes of the cortex, cerebellum and amygdala were comparable to wild type values, while the hippocampus was increased in size. This implies that there is no direct relation between the lack of full-length dystrophin in these structures and possible macro-structural alterations.

To assess the consequences of the expression of low amounts of full-length dystrophin on brain morphology we investigated mdx-XistΔhs and the corresponding wild type BL10-XistΔhs mice. The mixed BL6 and BL10 background of these mice resulted in an 8.4% higher whole brain volume compared to mdx and BL10 mice with a pure BL10 background. These unexpected genetic background effects prevented direct comparisons of mdx-XistΔhs to mdx and BL10 mice.

Whole brain volume of mdx-XistΔhs mice was not increased as much as that of mdx mice, compared to their wild types (0.70% and 1.50% respectively). This implies that a small amount of full-length dystrophin might modulate whole brain volume towards wild type values. However, we still found wide-spread volumetric differences in the hippocampus and 12 other structures.

Other studies have provided evidence for wide-spread structural changes in mdx mice using diffusion weighted (DWI) and diffusion tensor (DTI) MRI studies [59,60], although the findings are conflicting. DWI/DTI captures microscopic changes by estimating the amount of water diffusion, restricted by e.g. cell membranes, by estimating the apparent diffusion coefficient (ADC). Goodnough et al. found significantly lower ADC values in whole brain (without ventricles) in 2-month-old and 10-month-old mdx mice compared to C57BL/6 mice [61]. They hypothesized that the found ADC reduction was caused by cellular edema, caused by impaired brain vasculature. The mildly increased brain volume of mdx mice found in our study could be the result of edema as well. Xu et al. used ex vivo DTI localized to the prefrontal cortex, hippocampus and cerebellum in 9-month-old mdx mice. In mdx mice a significant increase in ADC values in the prefrontal cortex and decrease of fractional anisotropy in the hippocampus was found. No differences in diffusion parameters were found in the cerebellum. This is consistent with our data as we did not find any volume changes in the cerebellum, while the hippocampus was enlarged in mdx and mdx-XistΔhs mice.

In contrast with the trend of increased brain volume in mdx mice, mild cerebral atrophy has been found in DMD patients [62,63]. A recent MRI study by Doorenweerd et al. showed non-significant (P = 0.056) reduction in whole brain volume between patients and controls [29]. However, their study divided patients into two groups; patients lacking Dp427 (Dp140+) and patients lacking both Dp427 and Dp140 (Dp140-). Only in Dp140- patients a significant reduction in whole brain volume was found compared to controls. Based on these findings it would be interesting to acquire volume data from mdx4cv mice, lacking both Dp140 and Dp427, to investigate the effect of Dp140 on brain volumes in mice. An alternative explanation of the reduced brain volumes in DMD patients could however be the influence of steroid use. Brain atrophy has also been shown in imaging studies of multiple sclerosis and asthma patients treated with corticosteroids or patients with Cushing disease, which is characterized by excess of endogenous steroid production [6469]. As 24 out of 29 DMD patients in the study were on steroid treatment, Doorenweerd et al. could not rule out this confounding effect. Next to this, recent work [15] showed an devoid of full-length dystrophin (Dp427p) expression in the human cerebellum, however mice do express Dp427p in their cerebellum, so it might be that dystrophin plays a different role in mice.

In DMD patients, the differences in skull shape, observed as reduced skull eccentricity, are a robust and prominent finding [30]. However, the skull morphology of mdx mice was not found to be different from controls. A possible explanation is that the skull shape is primarily determined by the craniofacial muscles and their deterioration due to DMD. Both in humans and in mice, a clear association exists between craniofacial muscle strength, measured as bite force, and craniofacial morphology [70,71]. In DMD patients bite force is reduced [72,73], indicating reduced craniofacial muscle strength, while in mdx mice bite force is not affected [74].

A limitation of our study is the lack of temporal information, as only 3-month-old mice were investigated. It is likely that the absence of full-length dystrophin results in aberrations during developmental processes, leading to wide-spread structural changes. Therefore, for future studies it would be interesting to obtain measurements during the process of maturation, to elucidate how the absence of full-length dystrophin influences brain development. Secondly, additional mouse models lacking different and multiple dystrophin isoforms should be used to elucidate the complex effects of the various isoforms on brain structure, function and development.

Supporting information

S1 Fig. Skull morphology was assessed on axial and coronal planes.

No differences between mdx and BL10 mice were found, while DMD patients present with aberrant skull morphology. To assess skull morphology, the ratios of the length of the major and minor axis of the skull of mdx and BL10 mice were assessed on axial (C) and coronal (B) MRI planes in Osirix Lite v7.5. This ratio is directly related to skull eccentricity which is known to be different in DMD patients. The coronal plane was set to mid-corpus callosum (A) and the axial plane was rostrally set to the mid-olfactory bulb and caudally set to the second white matter branching of the arbor vitae in the cerebellum (A). No significant differences were found between mdx (D+E) and BL10 mice (F+G).

(TIF)

S1 Table. Grey and white matter structures.

The 22 segmented anatomical structures were either classified as white or grey matter.

(XLSX)

S2 Table. qPCR primer sequences.

(XLSX)

Data Availability

Data available from the Dryad Digital Repository: http://dx.doi.org/10.5061/dryad.7s2dq.

Funding Statement

BK was supported European Union Bioimage-NMD project (http://www.bioimage-nmd.eu), Seventh Framework Programme (FP7/2007-2013) under grant 602485. AK was supported by Percuros B.V. by the FP7 European Union Marie Curie IAPP Program, BRAINPATH (http://www.brainpath.eu), under grant 612360. The funder Percuros B.V. provided support in the form of salaries for author AK, but did not, as all other funders, have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.

References

  • 1.Deconinck N, Dan B. Pathophysiology of duchenne muscular dystrophy: current hypotheses. Pediatric neurology. 2007;36: 1–7. doi: 10.1016/j.pediatrneurol.2006.09.016 [DOI] [PubMed] [Google Scholar]
  • 2.Bushby K, Finkel R, Birnkrant DJ, Case LE, Clemens PR, Cripe L, et al. Diagnosis and management of Duchenne muscular dystrophy, part 1: diagnosis, and pharmacological and psychosocial management. The Lancet Neurology. Elsevier Ltd; 2010;9: 77–93. doi: 10.1016/S1474-4422(09)70271-6 [DOI] [PubMed] [Google Scholar]
  • 3.Kohler M, Clarenbach CF, Böni L, Brack T, Russi EW, Bloch KE. Quality of Life, Physical Disability, and Respiratory Impairment in Duchenne Muscular Dystrophy. American Journal of Respiratory and Critical Care Medicine. 2005;172: 1032–1036. doi: 10.1164/rccm.200503-322OC [DOI] [PubMed] [Google Scholar]
  • 4.Moser H. Duchenne muscular dystrophy: pathogenetic aspects and genetic prevention. Human genetics. 1984;66: 17–40. doi: 10.1007/BF00275183 [DOI] [PubMed] [Google Scholar]
  • 5.Passamano L, Taglia A, Palladino A, Viggiano E, D’Ambrosio P, Scutifero M, et al. Improvement of survival in Duchenne Muscular Dystrophy: Retrospective analysis of 835 patients. Acta Myologica. 2012;31: 121–125. [PMC free article] [PubMed] [Google Scholar]
  • 6.Cotton S, Voudouris NJ, Greenwood KM. Intelligence and Duchenne muscular dystrophy: full-scale, verbal, and performance intelligence quotients. Developmental medicine and child neurology. 2001;43: 497–501. doi: 10.1111/j.1469-8749.2001.tb00750.x [DOI] [PubMed] [Google Scholar]
  • 7.Hendriksen JGM, Vles JSH. Neuropsychiatric disorders in males with duchenne muscular dystrophy: frequency rate of attention-deficit hyperactivity disorder (ADHD), autism spectrum disorder, and obsessive—compulsive disorder. Journal of child neurology. 2008;23: 477–481. doi: 10.1177/0883073807309775 [DOI] [PubMed] [Google Scholar]
  • 8.Snow WM, Anderson JE, Jakobson LS. Neuropsychological and neurobehavioral functioning in Duchenne muscular dystrophy: A review. Neuroscience and Biobehavioral Reviews. Elsevier Ltd; 2013;37: 743–752. doi: 10.1016/j.neubiorev.2013.03.016 [DOI] [PubMed] [Google Scholar]
  • 9.Hendriksen JGM, Vles JSH. Are Males With Duchenne Muscular Dystrophy at Risk for Reading Disabilities? Pediatric Neurology. 2006;34: 296–300. doi: 10.1016/j.pediatrneurol.2005.08.029 [DOI] [PubMed] [Google Scholar]
  • 10.Goodwin F, Muntoni F, Dubowitz V. Epilepsy in Duchenne and Becker muscular dystrophies. European journal of paediatric neurology. 1997;1: 115–119. [DOI] [PubMed] [Google Scholar]
  • 11.Pane M, Messina S, Bruno C, D’Amico A, Villanova M, Brancalion B, et al. Duchenne muscular dystrophy and epilepsy. Neuromuscular Disorders. 2013;23: 313–315. doi: 10.1016/j.nmd.2013.01.011 [DOI] [PubMed] [Google Scholar]
  • 12.Young HK, Barton B a, Waisbren S, Portales Dale L, Ryan MM, Webster RI, et al. Cognitive and psychological profile of males with Becker muscular dystrophy. Journal of child neurology. 2008;23: 155–162. doi: 10.1177/0883073807307975 [DOI] [PubMed] [Google Scholar]
  • 13.Pane M, Lombardo ME, Alfieri P, D’Amico A, Bianco F, Vasco G, et al. Attention Deficit Hyperactivity Disorder and Cognitive Function in Duchenne Muscular Dystrophy: Phenotype-Genotype Correlation. The Journal of Pediatrics. Mosby, Inc.; 2012;161: 705–709.e1. doi: 10.1016/j.jpeds.2012.03.020 [DOI] [PubMed] [Google Scholar]
  • 14.Hendriksen JGM, Vles JSH. Neuropsychiatric Disorders in Males With Duchenne Muscular Dystrophy: Frequency Rate of Attention-Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder, and Obsessive—Compulsive Disorder. Journal of Child Neurology. 2008;23: 477–481. doi: 10.1177/0883073807309775 [DOI] [PubMed] [Google Scholar]
  • 15.Doorenweerd N, Mahfouz A, Van Putten M, Kaliyaperumal R, T’Hoen PAC, Hendriksen JGM, et al. Timing and localization of human dystrophin isoform expression provide insights into the cognitive phenotype of Duchenne muscular dystrophy. Scientific Reports. 2017;7: 1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Hendriksen RGF, Hoogland G, Schipper S, Hendriksen JGM, Vles JSH, Aalbers MW. A possible role of dystrophin in neuronal excitability: A review of the current literature. Neuroscience & Biobehavioral Reviews. Elsevier Ltd; 2015;51: 255–262. doi: 10.1016/j.neubiorev.2015.01.023 [DOI] [PubMed] [Google Scholar]
  • 17.Perronnet C, Vaillend C. Dystrophins, Utrophins, and Associated Scaffolding Complexes: Role in Mammalian Brain and Implications for Therapeutic Strategies. Journal of Biomedicine and Biotechnology. 2010;2010: 1–19. doi: 10.1155/2010/849426 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Tozawa T, Itoh K, Yaoi T, Tando S, Umekage M, Dai H, et al. The shortest isoform of dystrophin (Dp40) interacts with a group of presynaptic proteins to form a presumptive novel complex in the mouse brain. Molecular Neurobiology. 2012;45: 287–297. doi: 10.1007/s12035-012-8233-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Ueda H, Baba T, Ohno S. Current knowledge of dystrophin and dystrophin-associated proteins in the retina. Histology and histopathology. 2000;15: 753–60. [DOI] [PubMed] [Google Scholar]
  • 20.D’Souza VN, Nguyen TM, Morris GE, Karges W, Pillers D a, Ray PN. A novel dystrophin isoform is required for normal retinal electrophysiology. Human molecular genetics. 1995;4: 837–842. doi: 10.1093/hmg/4.5.837 [DOI] [PubMed] [Google Scholar]
  • 21.Lidov HG, Selig S, Kunkel LM. Dp140: a novel 140 kDa CNS transcript from the dystrophin locus. Human molecular genetics. 1995;4: 329–335. doi: 10.1093/hmg/4.3.329 [DOI] [PubMed] [Google Scholar]
  • 22.Bar S, Barnea E, Levy Z, Neuman S, Yaffe D, Nudel U. A novel product of the Duchenne muscular dystrophy gene which greatly differs from the known isoforms in its structure and tissue distribution. Biochem J. 1990;272: 557–560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Austin RC, Morris GE, Howard PL, Klamut HJ, Ray PN. Expression and synthesis of alternatively spliced variants of Dp71 in adult human brain. Neuromuscular Disorders. 2000;10: 187–193. doi: 10.1016/S0960-8966(99)00105-4 [DOI] [PubMed] [Google Scholar]
  • 24.Ahn AH, Kunkel LM. The structural and functional diversity of dystrophin. Nature genetics. 1993;3: 283–91. doi: 10.1038/ng0493-283 [DOI] [PubMed] [Google Scholar]
  • 25.Lidov HGW, Byers TJ, Kunkel LM. The distribution of dystrophin in the murine central nervous system: An immunocytochemical study. Neuroscience. 1993;54: 167–187. doi: 10.1016/0306-4522(93)90392-S [DOI] [PubMed] [Google Scholar]
  • 26.Lidov HG. Dystrophin in the nervous system. Brain pathology (Zurich, Switzerland). 1996;6: 63–77. [DOI] [PubMed] [Google Scholar]
  • 27.Muntoni F, Torelli S, Ferlini A. Dystrophin and mutations: One gene, several proteins, multiple phenotypes. Lancet Neurology. 2003;2: 731–740. doi: 10.1016/S1474-4422(03)00585-4 [DOI] [PubMed] [Google Scholar]
  • 28.Felisari G, Martinelli Boneschi F, Bardoni a, Sironi M, Comi GP, Robotti M, et al. Loss of Dp140 dystrophin isoform and intellectual impairment in Duchenne dystrophy. Neurology. 2000;55: 559–564. doi: 10.1212/WNL.55.4.559 [DOI] [PubMed] [Google Scholar]
  • 29.Doorenweerd N, Straathof CS, Dumas EM, Spitali P, Ginjaar IB, Wokke BH, et al. Reduced cerebral gray matter and altered white matter in boys with Duchenne muscular dystrophy. Annals of Neurology. 2014;76: 403–411. doi: 10.1002/ana.24222 [DOI] [PubMed] [Google Scholar]
  • 30.Straathof CSM, Doorenweerd N, Wokke BH a, Dumas EM, van den Bergen JC, van Buchem M a, et al. Temporalis muscle hypertrophy and reduced skull eccentricity in Duchenne muscular dystrophy. Journal of child neurology. 2014;29: 1344–8. doi: 10.1177/0883073813518106 [DOI] [PubMed] [Google Scholar]
  • 31.Sekiguchi M, Zushida K, Yoshida M, Maekawa M, Kamichi S, Yoshida M, et al. A deficit of brain dystrophin impairs specific amygdala GABAergic transmission and enhances defensive behaviour in mice. Brain: a journal of neurology. 2009;132: 124–35. doi: 10.1093/brain/awn253 [DOI] [PubMed] [Google Scholar]
  • 32.Miranda R, Nagapin F, Bozon B, Laroche S, Aubin T, Vaillend C. Altered social behavior and ultrasonic communication in the dystrophin-deficient mdx mouse model of Duchenne muscular dystrophy. Molecular autism. Molecular Autism; 2015;6: 60 doi: 10.1186/s13229-015-0053-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Chaussenot R, Edeline J- M, Le Bec B, El Massioui N, Laroche S, Vaillend C. Cognitive dysfunction in the dystrophin-deficient mouse model of Duchenne muscular dystrophy: A reappraisal from sensory to executive processes. Neurobiology of learning and memory. Elsevier Inc.; 2015;124: 111–122. doi: 10.1016/j.nlm.2015.07.006 [DOI] [PubMed] [Google Scholar]
  • 34.Muntoni F, Mateddu A, Serra G. Passive avoidance behaviour deficit in the mdx mouse. Neuromuscular disorders: NMD. 1991;1: 121–3. [DOI] [PubMed] [Google Scholar]
  • 35.Vaillend C, Rendon A, Misslin R, Ungerer A. Influence of dystrophin-gene mutation on mdx mouse behavior. I. Retention deficits at long delays in spontaneous alternation and bar-pressing tasks. Behavior Genetics. 1995;25: 569–579. doi: 10.1007/BF02327580 [DOI] [PubMed] [Google Scholar]
  • 36.Vaillend C, Billard J-M, Laroche S. Impaired long-term spatial and recognition memory and enhanced CA1 hippocampal LTP in the dystrophin-deficient Dmd(mdx) mouse. Neurobiology of disease. 2004;17: 10–20. doi: 10.1016/j.nbd.2004.05.004 [DOI] [PubMed] [Google Scholar]
  • 37.Remmelink E, Aartsma-Rus A, Smit AB, Verhage M, Loos M, van Putten M. Cognitive flexibility deficits in a mouse model for the absence of full-length dystrophin. Genes, brain, and behavior. 2016;15: 558–67. doi: 10.1111/gbb.12301 [DOI] [PubMed] [Google Scholar]
  • 38.Vaillend C, Billard J, Claudepierre T, Rendon A, Dutar P, Ungerer A. Spatial discrimination learning and CA1 hippocampal synaptic plasticity in mdx and mdx3cv mice lacking dystrophin gene products. Neuroscience. 1998;86: 53–66. S0306-4522(98)00023-2 [pii] [DOI] [PubMed] [Google Scholar]
  • 39.Sesay AK, Errington ML, Levita L. Spatial learning and hippocampal long-term potentiation are not impaired in mdx mice. Neuroscience letters. 1996;211: 207–210. [DOI] [PubMed] [Google Scholar]
  • 40.Miranda R, Sébrié C, Degrouard J, Gillet B, Jaillard D, Laroche S, et al. Reorganization of inhibitory synapses and increased PSD length of perforated excitatory synapses in hippocampal area CA1 of dystrophin-deficient mdx mice. Cerebral Cortex. 2009;19: 876–888. doi: 10.1093/cercor/bhn135 [DOI] [PubMed] [Google Scholar]
  • 41.Xu S, Shi D, Pratt SJP, Zhu W, Marshall A, Lovering RM. Abnormalities in brain structure and biochemistry associated with mdx mice measured by in vivo MRI and high resolution localized (1)H MRS. Neuromuscular disorders: NMD. 2015; 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.van Putten M, Hulsker M, Nadarajah VD, van Heiningen SH, van Huizen E, van Iterson M, et al. The effects of low levels of dystrophin on mouse muscle function and pathology. PloS one. 2012;7: e31937 doi: 10.1371/journal.pone.0031937 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Newall a E, Duthie S, Formstone E, Nesterova T, Alexiou M, Johnston C, et al. Primary non-random X inactivation associated with disruption of Xist promoter regulation. Human molecular genetics. 2001;10: 581–9. doi: 10.1093/Hmg/10.6.581 [DOI] [PubMed] [Google Scholar]
  • 44.Johnson GA, Badea A, Brandenburg J, Cofer G, Fubara B, Liu S, et al. Waxholm Space: An image-based reference for coordinating mouse brain research. NeuroImage. Elsevier Inc.; 2010;53: 365–372. doi: 10.1016/j.neuroimage.2010.06.067 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Franklin KBJ PG. The mouse brain in stereotaxic coordinates Academic Press; 2008. [Google Scholar]
  • 46.Paxinos G, Watson C, Pennisi M, Topple A. Bregma, lambda and the interaural midpoint in stereotaxic surgery with rats of different sex, strain and weight. Journal of Neuroscience Methods. 1985;13: 139–143. doi: 10.1016/0165-0270(85)90026-3 [DOI] [PubMed] [Google Scholar]
  • 47.Lein ES, Hawrylycz MJ, Ao N, Ayres M, Bensinger A, Bernard A, et al. Genome-wide atlas of gene expression in the adult mouse brain. Nature. 2007;445: 168–176. nature05453 [pii] doi: 10.1038/nature05453 [DOI] [PubMed] [Google Scholar]
  • 48.Sunkin SM, Ng L, Lau C, Dolbeare T, Gilbert TL, Thompson CL, et al. Allen Brain Atlas: An integrated spatio-temporal portal for exploring the central nervous system. Nucleic Acids Research. 2013;41 doi: 10.1093/nar/gks1042 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Khmelinskii a., Mengler L, Kitslaar P, Staring M, Hoehn M, Lelieveldt BPF. A visualization platform for high-throughput, follow-up, co-registered multi-contrast MRI rat brain data. 2013;8672: 86721W doi: 10.1117/12.2006529 [Google Scholar]
  • 50.Klein S, Staring M, Murphy K, Viergever MA, Pluim JPW. elastix: a toolbox for intensity-based medical image registration. IEEE transactions on medical imaging. 2010;29: 196–205. doi: 10.1109/TMI.2009.2035616 [DOI] [PubMed] [Google Scholar]
  • 51.Ramakers C, Ruijter JM, Lekanne Deprez RH, Moorman AFM. Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data. Neuroscience Letters. 2003;339: 62–66. doi: 10.1016/S0304-3940(02)01423-4 [DOI] [PubMed] [Google Scholar]
  • 52.Benjamini Y, Hochberg Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society. Series B (Methodological). 1995. pp. 289–300. doi: 10.2307/2346101 [Google Scholar]
  • 53.Genovese CR, Lazar NA, Nichols T. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. Neuroimage. 2002;15: 870–878. doi: 10.1006/nimg.2001.1037 [pii] [DOI] [PubMed] [Google Scholar]
  • 54.Team RC. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2016. [Google Scholar]
  • 55.Team Rs. RStudio: Integrated Development Environment for R. Boston, MA: RStudio, Inc.; 2016. [Google Scholar]
  • 56.Spurney CF, Gordish-Dressman H, Guerron AD, Sali A, Pandey GS, Rawat R, et al. Preclinical drug trials in the mdx mouse: Assessment of reliable and sensitive outcome measures. Muscle and Nerve. 2009;39: 591–602. doi: 10.1002/mus.21211 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.van Putten M, van der Pijl EM, Hulsker M, Verhaart IEC, Nadarajah VD, van der Weerd L, et al. Low dystrophin levels in heart can delay heart failure in mdx mice. Journal of molecular and cellular cardiology. The Authors.; 2014;69: 17–23. doi: 10.1016/j.yjmcc.2014.01.009 [DOI] [PubMed] [Google Scholar]
  • 58.Perronnet C, Chagneau C, Le Blanc P, Samson-Desvignes N, Mornet D, Laroche S, et al. Upregulation of brain utrophin does not rescue behavioral alterations in dystrophin-deficient mice. Human Molecular Genetics. 2012;21: 2263–2276. doi: 10.1093/hmg/dds047 [DOI] [PubMed] [Google Scholar]
  • 59.Basser PJ, Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. 1996. Journal of magnetic resonance (San Diego, Calif: 1997). 2011;213: 560–70. doi: 10.1016/j.jmr.2011.09.022 [DOI] [PubMed] [Google Scholar]
  • 60.Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval-Jeantet M. MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology. 1986;161: 401–407. doi: 10.1148/radiology.161.2.3763909 [DOI] [PubMed] [Google Scholar]
  • 61.Goodnough CL, Gao Y, Li X, Qutaish MQ, Goodnough LH, Molter J, et al. Lack of dystrophin results in abnormal cerebral diffusion and perfusion in vivo. NeuroImage. The Authors; 2014;102: 809–816. doi: 10.1016/j.neuroimage.2014.08.053 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Yoshioka M, Okuno T, Honda Y, Nakano Y. Central nervous system involvement in progressive muscular dystrophy. Arch Dis Child. 1980;55: 589–594. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Al-Qudah AA, Kobayashi J, Chuang S, Dennis M, Ray P. Etiology of intellectual impairment in Duchenne muscular dystrophy. Pediatric Neurology. 1990;6: 57–59. doi: 10.1016/0887-8994(90)90081-B [DOI] [PubMed] [Google Scholar]
  • 64.Zanardi VA, Magna LA, Costallat LTL. Cerebral Atrophy Related to Corticotherapy in Systemic Lupus Erythematosus (SLE). Clinical Rheumatology. 2001;20: 245–250. doi: 10.1007/s100670170037 [DOI] [PubMed] [Google Scholar]
  • 65.Chapman C, Tubridy N, Cook MJ, Mitchell PJ, MacGregor LR, Lovelock C, et al. Short-term effects of methylprednisolone on cerebral volume in multiple sclerosis relapses. Journal of Clinical Neuroscience. 2006;13: 636–638. doi: 10.1016/j.jocn.2005.08.012 [DOI] [PubMed] [Google Scholar]
  • 66.Bentson J, Reza M, Winter J, Wilson G. Steroids and apparent cerebral atrophy on computed tomography scans. Journal of computer assisted tomography. 1978. pp. 16–23. [DOI] [PubMed] [Google Scholar]
  • 67.Brown ES, Woolston DJ, Frol AB. Amygdala Volume in Patients Receiving Chronic Corticosteroid Therapy. Biological Psychiatry. 2008;63: 705–709. doi: 10.1016/j.biopsych.2007.09.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Momose KJ, Kjellberg RN, Kliman B. High incidence of cortical atrophy of the cerebral and cerebellar hemispheres in Cushing’s disease. Radiology. 1971;99: 341–8. doi: 10.1148/99.2.341 [DOI] [PubMed] [Google Scholar]
  • 69.Patil CG, Lad SP, Katznelson L, Laws ER Jr.. Brain atrophy and cognitive deficits in Cushing’s disease. Neurosurg Focus. 2007;23: E11 doi: 10.3171/foc.2007.23.3.13 [DOI] [PubMed] [Google Scholar]
  • 70.Renaud S, Auffray J-C, de la Porte S. Epigenetic effects on the mouse mandible: common features and discrepancies in remodeling due to muscular dystrophy and response to food consistency. BMC evolutionary biology. 2010;10: 28 doi: 10.1186/1471-2148-10-28 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Eckardt L, Harzer W. Facial structure and functional findings in patients with progressive muscular dystrophy (Duchenne). American journal of orthodontics and dentofacial orthopedics: official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics. 1996;110: 185–190. [DOI] [PubMed] [Google Scholar]
  • 72.Botteron S, Verdebout CM, Jeannet PY, Kiliaridis S. Orofacial dysfunction in Duchenne muscular dystrophy. Archives of Oral Biology. 2009;54: 26–31. doi: 10.1016/j.archoralbio.2008.07.012 [DOI] [PubMed] [Google Scholar]
  • 73.Ueki K, Nakagawa K, Yamamoto E. Bite Force and Maxillofacial Morphology in Patients With Duchenne-Type Muscular Dystrophy. Journal of Oral and Maxillofacial Surgery. 2007;65: 34–39. doi: 10.1016/j.joms.2005.11.108 [DOI] [PubMed] [Google Scholar]
  • 74.Byron CD, Hamrick MW, Wingard CJ. Alterations of temporalis muscle contractile force and histological content from the myostatin and Mdx deficient mouse. Archives of Oral Biology. 2006;51: 396–405. doi: 10.1016/j.archoralbio.2005.09.006 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Fig. Skull morphology was assessed on axial and coronal planes.

No differences between mdx and BL10 mice were found, while DMD patients present with aberrant skull morphology. To assess skull morphology, the ratios of the length of the major and minor axis of the skull of mdx and BL10 mice were assessed on axial (C) and coronal (B) MRI planes in Osirix Lite v7.5. This ratio is directly related to skull eccentricity which is known to be different in DMD patients. The coronal plane was set to mid-corpus callosum (A) and the axial plane was rostrally set to the mid-olfactory bulb and caudally set to the second white matter branching of the arbor vitae in the cerebellum (A). No significant differences were found between mdx (D+E) and BL10 mice (F+G).

(TIF)

S1 Table. Grey and white matter structures.

The 22 segmented anatomical structures were either classified as white or grey matter.

(XLSX)

S2 Table. qPCR primer sequences.

(XLSX)

Data Availability Statement

Data available from the Dryad Digital Repository: http://dx.doi.org/10.5061/dryad.7s2dq.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES