Brain Advance Access originally published online on May 3, 2006
Brain 2006 129(6):1481-1492; doi:10.1093/brain/awl095
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MRI and clinical studies of facial and bulbar muscle involvement in MuSK antibody-associated myasthenia gravis
1 Department of Clinical Neurology, University of Oxford Oxford, UK 2 Neurosciences Group, Weatherall Institute of Molecular Medicine, University of Oxford Oxford, UK 3 Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford Oxford, UK 4 Oxford University Centre for Clinical Magnetic Resonance Research, University of Oxford Oxford, UK 5 Department of Neuroradiology, Radcliffe Infirmary Oxford, UK
Correspondence to: Prof. Angela Vincent, Neurosciences Group, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Oxford OX3 9DS, UK E-mail: angela.vincent{at}imm.ox.ac.uk
| Summary |
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A proportion of patients with myasthenia gravis (MG) without acetylcholine receptor (AChR) antibodies have antibodies to muscle-specific kinase (MuSK). MG with MuSK antibodies (MuSK-MG) is often associated with persistent bulbar involvement, including marked facial weakness and tongue muscle wasting. The extent of muscle wasting in MuSK-MG, and whether it is also found in the few acetylcholine receptor (AChR-MG) patients who have persistent bulbar involvement, is not clear. We studied 12 MuSK-MG patients and recruited 14 AChR-MG patients matched broadly for age, sex ratio, duration of disease and degree of ocular, bulbar and facial weakness. We used coronal and sagittal T1-weighted (T1W) and T2-weighted (T2W) magnetic resonance imaging (MRI) to assess muscle wasting in facial and tongue muscles. Hyperintense signal on T1W MRI and comparison of axial T1W sequences with cUTE sequences were used to assess fibrous/fatty tissue in the tongue. We compared the results with those of four patients with myotonic dystrophy and 12 healthy individuals. We correlated the changes with clinical and treatment histories, and established a new ocular-bulbar-facial-respiratory (OBFR) score. At the time of study, none of the clinical measures, including the OBFR score, differed between the two MG groups. MRI demonstrated thinning of the buccinator, orbicularis oris (O.oris) and orbicularis oculi (O.oculi) muscles in MuSK-MG patients compared with healthy controls, whereas thinning of these muscles was not significant in AChR-MG. Tongue areas with T1W high signal were increased in MuSK-MG patients and the intensity of the signal on axial T1W sequences was greater in MuSK-MG than in controls. To look for possible correlations between imaging and clinical findings, we pooled results from all MG patients. The duration of treatment with prednisolone at >40 mg on alternate days (AD) correlated positively with the percentage of tongue area with high signal (P = 0.006) and negatively with MRI measurements of individual muscles and with the mean muscle dimensions (P = 0.001). The new OBFR score correlated positively with current Myasthenia Gravis Foundation of America grades and with the percentage of high signal (P = 0.004) and negatively with the mean muscle dimensions (P < 0.001). The results show that bulbar and facial muscle weakness and wasting are associated with significant muscle atrophy and fatty replacement in MuSK-MG, which was not found in the AChR-MG patients. MuSK antibodies per se may predispose to muscle thinning, but the difficulties in obtaining clinical remission under steroid therapy in some patients, resulting in long duration of treatment with higher doses (>40 mg AD), may be an additional factor.
Key Words: myasthenia gravis; seronegative myasthenia gravis; muscle-specific kinase; magnetic resonance imaging; ultra-short echo time
Abbreviations: AChR, acetylcholine receptor; AD, alternate day; cUTE, conventional ultra-short echo time; MD, myotonic dystrophy; MG, myasthenia gravis; MGFA, Myasthenia Gravis Foundation of America; MRI, magnetic resonance imaging; MUAP, motor unit action potential; MuSK, muscle-specific tyrosine kinase; O.oculi and O.oris, orbicularis oculi and orbicularis oris; OBFR, oculobulbar facial respiratory score; AChR-MG, seropositive (acetylcholine receptor antibody positive) MG; T1W and T2W, T1 and T2 weighted
Received December 6, 2005. Revised March 16, 2006. Accepted March 22, 2006.
| Introduction |
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Myasthenia gravis (MG) is characterized by failure of neuromuscular transmission. In
80% of the cases with generalized MG there are antibodies to the nicotinic acetylcholine receptor (AChR; AChR-MG). Of the remaining so-called seronegative MG patients, 370% have antibodies to muscle-specific tyrosine kinase (MuSK; MuSK-MG; Hoch et al., 2001
MuSK-MG patients usually have generalized weakness at or shortly after onset, but often develop particular involvement of the bulbar and facial muscles, and may first present with isolated weakness of the neck, shoulder or respiratory muscles (Scuderi et al., 2002
; Evoli et al., 2003
; Sanders et al., 2003a
; Zhou et al., 2004
). Neurophysiological studies of proximal muscles in five patients demonstrated short-duration motor unit action potentials (MUAPs), and deltoid muscle biopsy showed muscle fibre atrophy in four patients (Sanders et al., 2003a
). Some of these patients responded poorly to conventional steroid treatments (see also Evoli et al., 2003
), although some did well on newer treatments such as mycophenolate mofetil (Zhou et al., 2004
). Interestingly, generalized muscle weakness in these patients frequently improves with treatment, whereas bulbar and facial weakness may persist despite years of steroid treatment (Evoli et al., 2003
; Newsom-Davis, unpublished observations). Indeed, in contrast to typical AChR-MG patients, there may be little evidence of impaired neuromuscular transmission in limb muscles following treatments (Nemoto et al., 2005
; Stickler et al., 2005
; Farrugia et al., 2006
). Marked facial weakness and wasting of the tongue has also been reported in a few cases of AChR-MG (De Assis et al., 1994
; Oosterhuis, 1997
) but there has been little characterization of the atrophy or study of its frequency.
Collectively, these observations suggest that facial and bulbar involvement is particularly common in MuSK-MG, and we hypothesized that it could be compounded by use of long-term treatment with steroids. We, therefore, performed a comprehensive magnetic resonance imaging (MRI) study in MuSK-MG and selected AChR-MG patients, and related the findings to clinical and treatment features.
| Material and methods |
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Subjects
All examinations were carried out with the approval of the Oxfordshire Research Ethics Committee (OxREC 01.194, 02.256 and 02.224). The records of the 15 available MuSK-MG patients who were regularly attending the Oxford myasthenia gravis centre were documented for clinical features. These records were compared with >190 case notes of AChR-MG patients, making it possible to select 15 subjects who were approximately matched with the MuSK-MG cohort for sex, age at onset, duration of disease and pattern of weakness. Since only 12 MuSK-MG patients and 14 AChR-MG patients consented to the MRI studies, the data are presented only for these patients (Table 1). A total of 12 healthy volunteers were recruited (mean age 35 years; age range 2160; 8 females, 4 males) as healthy controls, and four patients with myotonic dystrophy were recruited as positive controls. AChR and MuSK antibody status was confirmed using MuSK and AChR antibody tests (RSR Ltd, UK).
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Clinical assessment
Patient records for MuSK-MG and AChR-MG patients were assessed and an MGFA Class (Jaretzki et al., 2000a
In order to provide a scoring system that reflected the muscles most involved in these patients, which could be used to correlate with other clinical or experimental measurements, we developed a scoring system to quantify ocular, bulbar, facial and respiratory function further (OBFR score). Details are given in the legend to Table 7.
Magnetic resonance imaging
MRI images were acquired on a 1.5 tesla Siemens Sonata (Siemens Medical Solutions, Erlangen, Germany) using the head coil and the front element of the neck coil, which boosts the signal from around the mouth. After initial localization a T1 weighted (T1W) axial dataset was acquired (spin-echo, TR = 500, TE = 7.7 ms, 1.2 x 0.9 x 5 mm3, resolution over 19 slices with 2 averages requiring 3 min and 16 s). Slices were positioned to include the level just above the nose and just below the tongue. T2 weighted (T2W) images were acquired with and without fat saturation (TR = 4010 ms, TE = 99 ms, acceleration factor of 11, 1.0 x 1.0 x 3.0 mm3 resolution over 22 slices with 4 averages requiring 2 min and 52 s in each case). The plane of these T2W images was oriented to be parallel to the plane of the face with the first image through the skin (ignoring the nose) and including slices with the posterior aspect of the constrictor of the pharynx. Additional T1W images were acquired with a sagittal orientation centred on the midline of the head. Finally, ultra-short TE (UTE) weighted images were acquired in axial planes matching the first of the T1W datasets (TR = 400 ms, TE = 0.070, 4.76, 9.53, 14.3 ms, a flip angle of 30°, and 8 ms/points sampling, and 1.3 x 1.3 x 5 mm3 resolution with 4 averages requiring 10 min and 26 s) yielding conventional UTE (cUTE) images (Gatehouse and Bydder, 2003
; Robson et al., 2003
). An additional three sets of images were calculated from the UTE dataset by subtracting each of the later echo images (TE = 4.76, 9.53, and 14.3 ms) from the first echo image (TE = 0.070 ms) yielding difference UTE (dUTE) images (Gatehouse and Bydder, 2003
). This subtraction removes the contribution of long T2 components while retaining the effects of ultra-short T2 components.
Quantitative image analysis was performed on a personal computer running CMR Tools (Imperial College, London), a package allowing manual segmentation of images and measurement of local signal intensity. The cross-sectional areas of selected muscles were measured in triplicate by a single observer (M.E.F.) and values were averaged. In an initial evaluation phase, scans from 12 healthy subjects were reanalysed, at least 2 weeks later, to test for reproducibility of measurements of tongue areas and masseter volumes. Results on two serial measures of the same muscle were highly correlated (r2 = 0.98, P < 0.0001) and the coefficient of variation was calculated as 3.7%.
Measurements of different muscles and signal intensity
The intrinsic tongue areas were measured by outlining on the midline slices of sagittal T1W sequences. The tongue cross-sectional area was related to the length of the oral cavity, defined as the distance between symphysis menti and the anterior wall of the first cervical vertebra. Facial muscles were identified on different imaging sequences. For the masseter, insertions of the muscle were identified and the muscle outlined in each axial slice. The volume of the masseter was estimated by summing the product of the area and thickness across all slices. The volumes were normalized to the lean body mass for each subject. The medial and lateral pterygoids were assessed on axial views at the level of their maximal areas. The maximal width of the temporalis muscle was assessed only from coronal views. The widths of the O.oculi on coronal views, O.oris on coronal and axial views, and buccinator on coronal views were measured on both sides on several consecutive slices, and the slice in which cross-sectional dimensions were largest was selected for triplicate measurements. However, the analysis was not formally blinded and it was relatively easy for M.E.F. to identify individual patients from the MRI features. In order to confirm the results, therefore, two further investigators (L.C. and A.V.) remeasured all O.oculi, O.oris and buccinator muscles, blind to the identity of the patient. The results presented for these muscles, therefore, are the means of 25 independent analyses for each muscle.
The percentage of tongue replacement with high signal was measured on sagittal T1W sequences by defining the area of high signal and expressing this as a percentage of the total sagittal-section area of the intrinsic muscles of the tongue. Measurements were performed three times and the mean taken. To measure the relative signal intensity, the cursor was placed over different regions on sagittal T1W, axial T1W and axial cUTE sequences and the signal intensity related to that of an uninvolved muscle, in which the signal appeared on visual inspection to be homogeneous. For the sagittal midline T1W sequences, the tongue was divided into five segments (superior anterior, superior posterior, inferior anterior and inferior posterior intrinsic muscle and extrinsic muscle regions) and signal intensities were averaged from three different voxels within each region and expressed relative to that of the signal in the trapezius. If an abnormally high signal was noted within any of these regions, then the cursor was placed so as to obtain measurements over this specific region. On axial T1W and axial cUTE sequences, signal intensities were obtained from within the central axial slice of the tongue muscle thickness. Measurements were obtained from across the anterior half of the tongue (because in the cUTE sequences artefactual high signal tended to be present in the posterior half), at seven points from left to right, and were expressed relative to the signal intensities measured in the masseter, from each subject, which radiologically did not demonstrate any abnormal signal within the muscle bulk.
Statistics
One way ANOVA with multiple Bonferroni post-tests was used for comparison of results for each muscle. Spearman rank correlations were used for correlation between imaging results and clinical scores or treatments. All statistical analyses were performed using GraphPad PRISM 4.0. Only P values < 0.05 are shown.
| Results |
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Clinical features in MuSK-MG and AChR-MG groups
The MuSK-MG patients were unselected but the AChR-MG patients were chosen from clinical records to match the MuSK-MG patients with respect to clinical presentation and current disability. The presenting features, maximum severity and current disease status are shown in Table 1. There were no significant differences with respect to sex ratio, age at onset or presenting symptoms. The MuSK antibody titres were typical of the range found in other series (e.g. McConville et al., 2004
There were no significant differences between the MGFA grades at maximum severity or at the time of study, and the MuSK-MG and AChR-MG patients had similar disease durations (Table 1); three patients in each group were in clinical remission. Wasting of the tongue was frequent in MuSK-MG, with lateral thinning in three, central furrowing in two and triple furrowing in two (e.g. Fig. 1a), compared with central furrowing in two and triple furrowing in one of the AChR-MG patients; but the proportion of patients with visible tongue wasting did not differ between the two groups.
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Of the 11 MuSK-MG patients, 5 had a poor clinical response to acetylcholinesterase inhibitors and one had an adverse effect to the drug, whereas only 2 of 14 AChR-MG patients had an unsatisfactory response (not significant). Two MuSK-MG patients had received a thymectomy with no obvious clinical benefit. All had received steroids, but four were off steroids at the time of study. Of the 15 AChR-MG patients, 8 had received a thymectomy; 3 had not received steroids at any time and 1 additional patient was off steroids and managing currently with regular plasma exchange.
Imaging of masticatory and facial muscles
Muscle dimensions
In order to assess muscle wasting in the facial and bulbar muscles, we performed T1W and T2W MRI, comparing the MG patients with healthy individuals and with myotonic dystrophy patients. Examples of MRI scans are shown in Fig. 1BI and the results are summarized in Table 2. We first measured differences in the dimensions of the tongue on midline sagittal T1W images as illustrated in Fig. 2A. There were no differences in the extrinsic muscle compartment in the MuSK-MG or the AChR-MG patients compared with the healthy controls (data not shown). The area of the intrinsic tongue muscle was somewhat lower in the MuSK-MG patients (Fig. 2B), although this was not significant by ANOVA. To take account of individual variation, we normalized the intrinsic tongue area to the length of the oral cavity in each individual. The normalized tongue areas were not different in the MuSK-MG, AChR-MG patients or the four myotonic dystrophy patients (Table 2).
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Because of the variability in masseter volumes, we normalized values to the lean body mass for each subject. Masseter volumes for the MuSK-MG and AChR-MG patients were different from those of the healthy controls (P = 0.03) but neither was significant on Bonferroni post-tests (Table 2). However, the facial muscles, O.oris (Fig. 2C, D), O.oculi and buccinator, measured on coronal T2W images, and O.oris on axial T1W images, were all significantly lower in MuSK-MG (Table 2). In contrast, the maximal areas for medial and lateral pterygoids measured on axial T1W images, and the temporalis muscle on coronal T2W images, showed no differences between the groups (data not shown).
In order to obtain an individual score for muscle thinning, we normalized the tongue, masseter, O.oculi, O.oris (coronal) and buccinator measurements to the means of the control data and obtained a mean percentage value for each patient. The values in MuSK-MG patients were significantly lower than the values in healthy controls (P = 0.01; Table 2). Although the values in the AChR-MG group were lower than those of the healthy controls, this was not significant on post-test.
High signal in intrinsic muscles of the tongue
Figure 1BI shows typical sagittal and coronal images from a healthy individual and three patients. Compared with a small amount of high signal in the healthy individual (Fig. 1B and C), there was increased high signal noted in some MuSK-MG and AChR-MG patients, (Fig. 1DG), with increased signal noted to be uniformly distributed throughout the tongue in the myotonic dystrophy (MD) patient (Fig. 1H and I).
To quantify the extent of high signal replacement, we first expressed the area of high signal as a percentage of the intrinsic tongue muscle area (as in Fig. 3A). The mean values for the percentage of high signal replacement in the MuSK-MG and AChR-MG groups, and in the myotonic dystrophy patients, were increased but one-way ANOVA was significant only for MuSK-MG (Fig. 3B, Table 3). No high signal was noted in the extrinsic muscles of the tongue.
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We then measured the intensity of the signal from each of four regions on sagittal views of the intrinsic muscles (as in Fig. 3A), relating the measurements to those of the trapezius. The increased signal in the MuSK-MG patients was predominantly localized to the anterior inferior region (Fig. 3C).
cUTE sequences to analyse the nature of the high intensity signal
High intensity signal on T1W images in the tongue muscles could reflect either fatty replacement or fibrosis. When we performed T2W coronal sequences, with and without fat saturation, the abnormal high signal in the tongue was suppressed on sequences with fat saturation, suggesting that most of the contribution to this signal change was from fat. However, in order to test for the presence of fibrous tissue such as collagen, which cannot be visualized on these sequences, we compared the findings from conventional axial T1W sequences with cUTE axial sequences (Gatehouse and Bydder, 2003
; Robson et al., 2003
). We first analysed the signal at seven points from left to right across the bulk of the intrinsic tongue muscles (Fig. 4A). Varying extents of high signal were noted on the axial T1W sequences in the MuSK-MG patients (Fig. 4C and D), and the mean values of MuSK-MG, AChR-MG and healthy individuals showed some variation across the tongue (Fig. 4E). However, the MuSK-MG patients, and the MD patients, showed significantly higher signal intensity in the central tongue region compared with healthy controls (Fig. 4F; Table 3).
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The axial dUTE sequences are illustrated in Fig. 4B and D and the mean values of all patients in Fig. 4G. Signal intensities from these derivative subtraction images were very similar between each of the groups, and did not vary appreciably across the tongue, suggesting that the high signal on T1W sequences is likely to be due to fatty replacement rather than fibrous tissue.
Relationship between muscle atrophy, previous treatments and clinical features
We asked whether the patients' clinical or treatment histories correlated with the MRI findings. There was no apparent relationship with use of cholinesterase inhibitors or thymectomy. Steroids (prednisolone except in one patient who had methylprednisolone) were given to all of the MuSK-MG patients and 12 of the AChR-MG patients. Previous use of steroids was defined in three ways: the maximum dose (mg/kg/day) given; the total amount of steroids given (mg/kg x months); and the duration of time (months) for which an arbitrarily defined dose of 40 mg or greater on alternate days (AD) was given. These, and current doses, did not differ significantly between the two groups (Table 4).
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Because of the small numbers and the need to use non-parametric ranking, we pooled data from both AChR-MG and MuSK-MG groups. Table 5 shows the relationships between the clinical features and the percentage of high signal replacement in the tongue. There was no correlation with age at onset, disease duration, MGFA grade at maximum severity, duration of disease before starting steroid treatment, maximum steroid dose used or current steroid dose. There was a weak correlation with current MGFA grade (P = 0.043) and total amount of prednisolone given (P = 0.047) and a stronger correlation with duration of treatment with prednisolone at >40 mg AD (P = 0.006; Fig. 5A). Prednisolone treatment at >40 mg AD also correlated inversely with the dimensions of the tongue, O.oculi and O.oris muscles (Table 6), and the mean muscle dimensions (P = 0.001; Fig. 5B).
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Clinical assessment of MG
Patients were first graded using the well-established QMG, MG-ADL and MMT scores. The results are shown in Table 7 and did not differ significantly between MuSK-MG and AChR-MG patients. To establish a scoring system that reflected better the disability of patients with predominantly bulbar and facial involvement, we used the bulbar components of the QMG, and added additional features to develop a new OBFR scoring system (see footnotes to Table 7). These scores also did not differ significantly between the two patient groups. They correlated strongly with the current MGFA and QMG scores (Table 8) and the percentage of high signal replacement of the tongue and inversely with the mean muscle dimensions (Fig. 5B).
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| Discussion |
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We sought to define the incidence and nature of persistent muscle atrophy in MuSK-MG patients. We found that some patients in both MuSK-MG and AChR-MG groups had visible tongue atrophy but MRI evidence of atrophy of individual facial muscles was only significant in MuSK-MG patients. There were some patients with high signal intensity on T1W MRI of the tongue, which we showed, by using a novel dUTE sequence, was probably due to fatty rather than fibrous tissue. Overall muscle atrophy and the area of tongue with high signal correlated with the duration of moderate/high dose steroids (>40 mg AD) and with a new OBFR clinical score.
We included all available MuSK-MG patients, and also tested a group of AChR-MG patients, but in order to match these two groups for disease course and persistent facial weakness, we had to search through a large number of records (>190) of AChR-MG patients. The AChR-MG patient with most marked atrophy had childhood onset and low AChR antibodies and her bulbar involvement and muscle atrophy were very similar to that in MuSK01 (Table 1). Despite some evidence for atrophy and high signal in the other AChR-MG cases, however, only MuSK-MG patients demonstrated significant reduction in the average muscle dimensions. Thus our results confirm that MuSK antibodies associate with a form of MG that frequently involves wasting of the facial and tongue muscles.
In a proportion of the MG cases high signal was identified in the muscles on T2W sequences, and suppression on T2W sequences with fat saturation suggested that this was due to fatty replacement. To test whether there was a significant component of fibrosis, we used cUTE, a relatively novel sequence, which has not been previously applied to study the facial muscles (Chappell et al., 2003
; Gatehouse and Bydder, 2003
; Gatehouse et al., 2004
; Waldman et al., 2003
). UTE sequences allow the selective detection of signal contributions from short T2 components (Gatehouse and Bydder, 2003
; Robson et al., 2003
). Diseases associated with chronic fibrosis (as well as calcification and haemorrhage) increase the signal from short T2 components. The negative findings on the cUTE studies suggest that fibrosis does not make a substantial contribution to the pathologically high signal changes on the conventional T2W scans of the MG patients and, therefore, indicates that this high signal arises principally from fat.
Neurophysiological studies on the same patients (Farrugia et al., submitted for publication) found no evidence for denervation. Collectively, therefore, these findings indicate that the muscle atrophy in MG patients is probably myopathic in nature. Both Sanders et al. (2003a)
and Evoli et al. (2003
) have pathological confirmation of a myopathic process in biopsies from individual MuSK-MG patients and the latter authors have also reported similar changes in some AChR-MG patients. Myopathic findings were previously reported on the basis of MUAP analysis and muscle biopsy in a few patients with MG (Humphrey et al., 1962
; Somnier et al., 1993
). Thus, on the basis of these reports and the current results, the differences between MuSK-MG and AChR-MG appear to be mainly quantitative.
The lack of emphasis on bulbar function assessment in the QMG scoring systems means that MuSK-MG patients tend to do well on this score and explains the poor correlation with the imaging measurements (data not shown). We, therefore, devised a new OBFR score that reflects better the facial and bulbar involvement and correlates better with several of the muscle measurements (Table 8). Nevertheless, there were some patients who did not score highly because of the very restricted nature of their disease. This emphasizes the difficulties in establishing a scoring system that reflects adequately the severity of the disease in patients with relatively restricted muscle involvement. Patient-specific scoring systems should be considered when assessing treatment responses in MuSK-MG.
It is not clear why the facial and tongue muscles should be selectively involved in MuSK-MG. These muscles are complex in fibre-type composition with varied metabolic requirements and contractile demands. O.oculi and O.oris are mainly composed of Type II fibres (Stal et al., 1994
; Goodmurphy et al., 1999
), whereas buccinator consists mainly of Type I fibres (Stal et al., 1994
; Goodmurphy et al., 1999
) and the muscles of mastication (masseter, medial and lateral pterygoids and temporalis) are mainly Type I fibres with unusual motor units that contain large and fast-twitch fibres with varying degrees of fatigability (McComas et al., 1998
). The tongue is spatially heterogeneous; the anterior aspects consist mainly of Type II fibres and are adapted for rapid movements important for phonetics and articulation, whereas the posterior aspects are adapted for tonic phases related to deglutition and respiration and consist mainly of Type I and Type IM/IIC fibres (Stal et al., 2003
). Our results show a tendency towards more marked involvement of Type II muscles in MuSK-MG. However, curiously, the extrinsic muscles of the tongue, which consist of both Type I and II fibres in a similar distribution to that of the intrinsic muscles of the tongue (Saigusa et al., 2001
), were spared.
We found that the only strong correlate of muscle thinning and high signal was the duration of moderate/high dose steroid treatment of the patients; the total cumulative dose showed only a weak correlation. In contrast, and perhaps surprisingly, there was no correlation with the maximum dose or duration of symptoms although there was a weak correlation with the current MGFA grade. Since Type II fibre atrophy is one of the adverse effects associated with high-dose corticosteroid treatment (Mastaglia, 1982
), it may be that steroids themselves are contributing to the muscle atrophy. Alternatively, the relationship with duration of moderate-to-high steroid dosage may merely reflect the resistance of these patients to immunosuppressive therapy and the duration of time before they achieve adequate clinical benefit. In either case, steroid treatment would only be one factor in predisposing to muscle atrophy, since some patients with short duration of steroid treatments also had relatively marked atrophy in some muscles or high intensity signal (Fig. 5). It will be interesting to see whether treatment with newer drugs, such as mycophenolate mofetil, which appear to be clinically more effective (Sanders et al., 2003a
; Zhou et al., 2004
), will prevent development of muscle wasting. Preliminary experimental work suggests that MuSK-MG plasma and IgG upregulate expression of muscle ring finger protein 1 (MURF-1), which is an atrophy-related gene, both in a muscle cell culture system and in mouse masseter muscle (a Type II muscle in rodents; Benveniste et al., 2005
). Animal models and further in vitro work are needed to determine how these antibodies predispose to muscle atrophy and whether these effects are compounded by a long duration of steroid treatment.
| Acknowledgements |
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M.E.F. was a clinical research fellow with the Muscular Dystrophy Campaign/Myasthenia Gravis Association and is grateful to the Oxford Health Services Research Committee for additional support. We would like to thank Jane Francis for help with the scanning, Greame Bydder for general comments on MRI study design, and the patients and healthy volunteers for their time and patience. P.M.M. thanks the Medical Research Council for personal support and for support of imaging facilities.
Conflict of interest statement: A.V. and the Department of Clinical Neurology in Oxford received royalties and payments for the MuSK antibody analyses. Funding to pay the Open Access publication charges for this article was provided by Clinical Neurology Departmental funds.
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