Abstract
Objective
Nemaline myopathy (NM) is a rare neuromuscular condition with clinical and genetic heterogeneity. To establish disease natural history, we performed a cross-sectional study of NM, complemented by longitudinal assessment and exploration of pilot outcome measures.
Methods
Fifty-seven individuals with NM were recruited at 2 family workshops, including 16 examined at both time points. Participants were evaluated by clinical history and physical examination. Functional outcome measures included the Motor Function Measure (MFM), pulmonary function tests (PFTs), myometry, goniometry, and bulbar assessments.
Results
The most common clinical classification was typical congenital (54%), whereas 42% had more severe presentations. Fifty-eight percent of individuals needed mechanical support, with 26% requiring wheelchair, tracheostomy, and feeding tube. The MFM scale was performed in 44 of 57 participants and showed reduced scores in most with little floor/ceiling effect. Of the 27 individuals completing PFTs, abnormal values were observed in 65%. Last, bulbar function was abnormal in all patients examined, as determined with a novel outcome measure. Genotypes included mutations in ACTA1 (18), NEB (20), and TPM2 (2). Seventeen individuals were genetically unresolved. Patients with pathogenic ACTA1 and NEB variants were largely similar in clinical phenotype. Patients without genetic resolution had more severe disease.
Conclusion
We present a comprehensive cross-sectional study of NM. Our data identify significant disabilities and support a relatively stable disease course. We identify a need for further diagnostic investigation for the genetically unresolved group. MFM, PFTs, and the slurp test were identified as promising outcome measures for future clinical trials.
Nemaline myopathy (NM) is characterized by congenital onset bulbar and extremity weakness and hypotonia.1 The condition was historically defined by the muscle biopsy finding of nemaline rods.1 Mutations in 12 genes have been associated with NM. The most common genotypes are NEB2,3 and ACTA1.4,5 Other causes include mutations in TPM2,6 TPM3,7,8 KBTBD13,9 CFL2,10 KLHL40,11 KLHL41,12 LMOD3,13 MYPN,14 TNNT1,15,16 and TNNT3.17 At present, there are no proven disease-modifying therapies for NM.
There have been several case-cohort studies and genotype-phenotype examinations.3,18–21 Ryan et al.18 categorized patients with NM into 5 subtypes: severe congenital, intermediate congenital, Amish, typical congenital, and later onset.3,18 The typical congenital form is most common and is considered nonprogressive and non–life limiting.22 This group also identified several atypical features, including congenital fractures, progressive distal weakness, cardiac abnormalities, and CNS findings. Few genotype-phenotype correlations have been identified. Wallgren-Pettersson et al.3 reported that patients with NEB mutations had a milder phenotype. Maggi et al.20 found that more patients with ACTA1 mutations required a feeding tube, while Colombo et al.21 identified similar proportions of patients with both genotypes who required respiratory and feeding supports.
Detailed natural history is needed to optimize current clinical care and to identify potential outcome measures for future clinical trials. With this in mind, we evaluated disease features and quantitative measures in a cohort of 57 individuals with NM. We provide an in-depth cross-sectional study of NM, plus longitudinal assessment in a subset of cases.
Methods
Our cohort included male (n = 27) and female (n = 30) participants 1 to 57 years of age (the age at study entry was unknown for 1 participant). The diagnosis of NM was based on genetic confirmation of ACTA1, NEB, or TPM2 pathogenic variants (n = 40) or a clinical diagnosis of NM based on a muscle biopsy consistent with the presence of nemaline rods (n = 16) or clinical features of NM with a family history of nemaline rods on muscle biopsy (n = 1). Of note, 33 of 40 of the genetically established cases also had muscle biopsy, and all biopsies contained nemaline rods.
Participants were recruited at NM family conferences hosted by A Foundation Building Strength in 2009 and 2016 (White Plains, NY). A subset of participants attended both conferences, during which longitudinal data were collected (n = 16). The remainder of individuals participated at 1 time point exclusively, either 2009 (n = 16) or 2016 (n = 25). Subjects participating exclusively in 2009 were not recontacted; therefore, the study team could not verify current living status. At study entry, 1 deceased individual was enrolled. Ethnicity was captured for 41 participants (32 White/Caucasian, 3 Native American, 1 Middle Eastern, 4 Hispanic, 1 Asian, 1 Black/African American, and 8 Ashkenazi Jewish individuals); 9 of 41 reported multiple ethnicities.
Standard Protocol Approvals, Registrations, and Patient Consents
Written informed consent was obtained according to the Declaration of Helsinki from all participants or a parent/legal guardian. The cross-sectional study was approved by the Institutional Review Board of Boston Children's Hospital (No. M09-08-0403, 2009) and the Research Ethics Board at the Hospital for Sick Children (No. 1000053925, 2016). All participants were deidentified and provided with unique study identifiers.
Study Measures
Cross-sectional data were collected on written source documentation (2009) or uploaded directly into 2 electronic systems, REDCap and PhenoTips (2016). At the family conferences, the following measures were assessed: medical questionnaire (including pedigree, pregnancy, birth, developmental and medical histories), physical examination, motor assessments (Gowers maneuver, 10-m run test, stair climb test, Motor Function Measure [MFM] 20 or 32,23 and myometry), goniometry, and pulmonary function tests (PFTs).
Timed Gowers measured the time taken to rise from lying on the floor to standing. Reference values for the timed Gowers were for individuals rising from seated on the floor to standing and were calculated from an average of the mean values from 2 to 12 years of age.24 Reference values for the 10-m run test for healthy children 2 to 12 years of age (range 4.63–7.95 seconds) were included.24 The MFM20 was used in 2009, and the MFM32 was used in 2016, with MFM20 values extracted from the larger MFM32 dataset to facilitate comparison. The MFM reflects testing in 3 domains: standing and transfers (domain 1), axial and proximal motor function (domain 2), and distal motor function (domain 3). Direct muscle strength was measured with Medical Research Council (MRC) grading. Measure of facial and trunk muscle strength is not performed with MRC grading. Myometry was performed to quantify muscle strength at the elbow, knee, and hip joints. Normalized myometry values were defined by the study physiotherapist (calculated from weight, sex, age, and handedness). Goniometry scores were measured for the elbows, knees, and ankles. Categories were defined by the study physiotherapist (grade 0 [no contracture/hyperflexibility]–grade 4 [most severe contracture]). Reference values for PFTs were included for forced vital capacity (FVC),25 maximal inspiratory pressure,26 and peak cough flow.27 Participants were excluded from FVC percent predicted calculation if height and weight were not captured or if they were unable to perform the assessment.
Bulbar function was assessed via 2 scales, the Drooling Rating Scale28 and the Drooling Impact Scale,29 and 1 quantitative test. For the Drooling Rating Scale, drooling severity and frequency are ranked on a scale of 1 (severity: dry, frequency: never) to 5 (severity: profuse, frequency: constant). The Drooling Impact Scale rates the extent of drooling over the past week using 10 questions on a scale of 1 (not at all) to 10 (a lot). The slurp test was also administered, which involves measuring the time to drink 4 oz of water through a straw.30
A severity scoring system was developed by the study team to incorporate ambulatory, respiratory, and feeding status. Scores were calculated for each participant using the following formula (6 × ambulatory [no = 1, yes = 0]) + (2 × respiratory support [invasive = 3, noninvasive day and night = 2, noninvasive night only = 1, no support = 0]) + (feeding tube [yes = 1, no = 0]) = severity score. Scores were categorized as mild (0–2) or not mild (3–13). Ambulatory status was assessed only in participants >2 years of age. Clinical classifications were based on the criteria from Ryan et al.18 Two participants from the 2016 cohort were excluded from clinical classification due to incomplete data.
Data Analysis
Missing data were excluded from analyses. Analysis consisted mainly of descriptive statistics, while a subset of data were analyzed with t tests to determine statistical significance based on 2-sided p values being <0.05. Data analysis was completed at the Hospital for Sick Children.
Data Availability
Deidentified data will be shared on request with any qualified investigator. Supplemental figures (figures e-1–e-6) are available from Dryad: doi.org/10.5061/dryad.z08kprrb9.
Results
General Cohort Characteristics
Fifty-seven individuals with confirmed NM were enrolled in either 2009 or 2016, with 16 individuals assessed at both time points. At study enrollment, 1 deceased individual was included. General characteristics of the cohort are presented in figure 1A. The diagnosis of NM was established by muscle biopsy in 49 of 50 cases. All individuals who pursued genetic testing had, at minimum, a multigene panel consisting of known NM genes. Thirty-five percent (n = 20) of the cohort had causative mutations in NEB, 32% (n = 18) in ACTA1, and 4% (n = 2) in TPM2; 30% (n = 17) were genetically unresolved despite extensive testing (figure 1B). Fifty-four percent (n = 30) of the cohort conformed to the typical congenital categorization, with 20% (n = 11) severe congenital and 22% (n = 12) intermediate congenital (figure 1C). Genotypes were distributed equally among the different categories (figure e-1A, doi.org/10.5061/dryad.z08kprrb9).
Overall Disease Severity
We first looked at the extent of interventional support required as a means of evaluating overall disease severity. To do this, we focused on ventilator, wheelchair, and feeding tube dependence. Fifty-eight percent of individuals (31 of 53) required at least 1 type of support, and 26% (8 of 31) required support across all 3 domains (figure e-1B, doi.org/10.5061/dryad.z08kprrb9). In terms of maximum respiratory function, 60% of individuals needed ventilatory assistance, divided approximately equally between invasive (32%) and noninvasive (28%) support (figure 1D). Median age at invasive ventilatory support initiation was 0.9 years, and median age at noninvasive ventilatory support initiation was 4 years. Fifty-one percent of individuals used feeding tubes. Of the participants >2 years of age, 30% required wheelchair assistance. An overall severity score was calculated for each individual that included weighted values for ambulatory status, respiratory support, and feeding support. The cohort was split almost evenly between mild (no support required, feeding tube only, or nocturnal noninvasive respiratory support) (n = 25) and nonmild (n = 28) scores.
Motor Function Evaluation
We next analyzed muscle strength and function using a combination of standard physical examination and quantitative measures. Direct muscle testing using MRC grading revealed that strength was typically only mild to moderately impaired, and essentially all muscle groups assessed had a median value of at least antigravity strength (figure 2A). For the overall cohort, the most affected muscles were neck flexors and hip girdle. To objectively quantify muscle strength, we performed myometry at the elbow, knee, and hip joints. All individuals except 2 had reduced values, typically <50% of normalized values (figure e-2, doi.org/10.5061/dryad.z08kprrb9). Elbow flexion and extension were similarly affected, while knee extension was more severely impaired. We also examined joint range of motion using goniometric measurements of the elbow, knee, and ankle. Most individuals had normal or mildly reduced (30 of 38) range of motion, only 5 individuals had severe (grade 4) restriction at any 1 joint (figure 2B). The goniometry scores corroborated the overall physical assessment, in which examiners noted very few joint contractures. When surveyed, additional infrequent muscle complaints reported included myalgias (7 of 33, 21%) and muscle slowness (2 of 31, 6.5%).
Quantitative Motor Measurements
We complemented direct physical examination with a battery of quantitative muscle-related measures, including the Gowers maneuver, 4-stair climb, and 10-m run test (figure 3, A and B). Fifty percent of individuals in the study were unable to rise from the floor; 16% could rise with assistance; 16% had a classic Gowers sign; 14% had a modified Gowers sign; and only 7% rose without difficulty (n = 44 total) (figure 3B). Timed testing of the Gowers sign reflected these changes, with a mean time for those tested of 11.14 seconds (normal 1.35 seconds, n = 15) (figure 3A).24 The 4-stair climb was difficult for many participants, with both up (mean 4.51 seconds) and down (mean 3.13 seconds) climbs roughly equally affected (n = 15) (figure 3A). The 10-m run testing, completed by 18 individuals, yielded an average time of 26 seconds, compared to 5.5 seconds for healthy individuals (figure 3A).24
We also measured a composite motor score, the MFM, which has been validated in several populations of patients with neuromuscular disease.23 The MFM20 mean total score was 35.8, and there was tremendous variability across the cohort. Only 2 individuals achieved the full score of 60 of 60 (ceiling), while only 1 had a score of 0 of 60 (floor) (figure 3C). Domain 1 scores (standing and transfers) were, on average, the most reduced (mean 8.47 of 24) compared to scores in domains 2 (mean 17.9 of 24) and 3 (mean 9.49 of 12) (figure 3C and figure e-3, doi.org/10.5061/dryad.z08kprrb9).
Non–Muscle-Related Comorbid Conditions
We examined non–muscle-related symptoms via in-person survey (table 1). Most findings were consistent with those previously reported by Ryan et al.18 Scoliosis was the most common additional phenotype, identified in 69% of individuals. Gastrointestinal ailments were the next most common comorbidity (55% with dysphagia and 51% with acid reflux disease). Of note, there was a high prevalence of bone fractures, occurring in 36% of cases. Cardiomyopathy (13%), clinical jaundice (13%), and kidney stones (13%) were rarely reported. Ten percent of cohort participants had seizures, and learning disability was reported in 17%, suggesting possible CNS involvement in a subset of individuals, similar to results reported by Ryan et al.18 All comorbid conditions were patient reported, and confirmation from medical records was not obtained. The 2 most common surgeries performed were spinal fusion/rods (n = 19) and contracture releases (n = 10).
Table 1.
Pulmonary Function Measurements
Given the high prevalence of respiratory compromise, we examined quantitative measures of respiratory function. Twenty-seven participants were able to complete PFTs (figure 4A). Of the measures performed, maximal inspiratory pressure, peak cough flow, and FVC values were lower than the predicted values for the majority of participants (96% [n = 26], 81% [n = 22], 65% [n = 11], respectively) (figure 4A and figure e-4A, doi.org/10.5061/dryad.z08kprrb9). This is not surprising because 60% of the cohort required respiratory support (32% invasive and 28% noninvasive support) (figure 1D). Thirty participants were not able to complete PFTs: 3 of 30 were too young; 10 of 30 were on invasive ventilatory support; and 7 of 30 lacked coordination/cooperation. No data were available for the remaining 10 participants.
Bulbar Function
As indicated by the high prevalence of dysphasia (table 1), bulbar function is often impaired in patients with NM. To assess this more thoroughly, we assessed drooling via 2 scales: the Drooling Rating Scale and the Drooling Impact Scale (figure 4, B and C).28,29 With the Drooling Rating Scale, approximately one-third of the cohort reported frequent drooling, while a little more than one-third reported no drooling (figure 4B). Drooling severity was moderate to severe in ≈50% of participants (figure 4C). With the Drooling Impact Scale, all participants reported median values of 1 to 2 of 10 for all questions, indicating low extent and impact of drooling. We also examined an exploratory outcome measure of bulbar function called the slurp test.30 All 23 individuals who attempted the test had abnormal values (below the mean for age), with most times being 2 to 3 times longer than those for age-related healthy individuals (figure 4D, e-4B, doi.org/10.5061/dryad.z08kprrb9). Exceptions were 2 individuals who had slurp test values within the normal reference range but below the normal mean value for age.
Longitudinal Assessment
Sixteen individuals were evaluated longitudinally, with examinations in 2009 and 2016. In this group, we focused primarily on the general extent of disability and quantifiable outcomes. In 2009, the median age of this subset of our cohort was 4 years (mean 6.6 years, range 1.5–20 years), and in 2016, the median age was 12.9 years (mean 15.2 years, range 9–28.7 years). In general, the disease was quite stable. Three individuals lost ambulation (n = 8 ambulators in 2009); 3 continued using a wheelchair; and 6 maintained independent ambulation. In terms of feeding support, 43% continued to require a feeding tube (n = 6), 43% fed independently at both time points (n = 6), while 2 became free of gastrostomy tube support. For respiratory support, 3 developed the need for respiratory support (noninvasive n = 1, invasive n = 2), while no participants who previously required support improved in status (table 2 and figure e-5A, doi.org/10.5061/dryad.z08kprrb9). For those experiencing decline, loss of ambulation occurred at 5, 10, and 11 years of age. Initiation of invasive respiratory support occurred at 3 years (age unknown for one patient) and noninvasive support at 6 years of age.
Table 2.
One exception to disease stability was scoliosis, which developed and/or worsened in 85%, with rapid worsening in 48% (figure e-5B, doi.org/10.5061/dryad.z08kprrb9). Average age of rapid worsening was 9 years, requiring surgery in 38% of patients by 11 years of age on average.
For quantifiable motor outcomes, we measured joint angles and MFM20. Six of 14 participants lost measurable range of motion by goniometry (table 2 and figure e-5C, doi.org/10.5061/dryad.z08kprrb9), and 7 of 13 (54%) showed a >5-point decline in MFM20 (table 2 and figure e-5D). Conversely, only 1 of 13 (8%) improved by >5 points on MFM20. These scales suggest some element of disease progression. Quantification of respiratory function was not analyzed because only 4 participants completed PFTs at both time points.
Genotype-Phenotype Correlations
For assessment of potential genotype-phenotype correlations (figure 5 and figure e-6, doi.org/10.5061/dryad.z08kprrb9), we binned subgroups into ACTA1-related NM (n = 17), NEB-related NM (n = 17), or unknown genotype (n = 17). Two cases with TPM2 mutations and 4 cases with incomplete data were excluded from this analysis. The primary points of comparison were the extent of disabilities as determined by feeding, breathing, and ambulatory support (figure 5, A–C and figure e-6). There was no statistical difference in the number of supports required between ACTA1 and NEB patients. Conversely, unknown cases were more likely to need 2 or 3 supports (53%). There was, however, a difference between ACTA1 and NEB in terms of feeding support in that more individuals with ACTA1 mutations required gastrostomy tubes (67% vs 32%) (figure 5, B and C). Differences in lung function via PFTs could not be assessed because the sample size was too small. Direct strength testing was compared between NEB and ACTA1. Median MRC scores were roughly the same between groups, including distal musculature. We also looked at a quantitative measure, MFM20. There was no difference between the means of ACTA1 and NEB in composite MFM20 scores, while the unknown genotype group had a significantly lower mean score (p = 0.03).
Discussion
We present a comprehensive cross-sectional study of 57 individuals with NM and report pilot longitudinal data on a subset of participants (n = 16). These data provide important insights into outcome measures with potential utility for future clinical trials. Mortality was not assessed in this study because only 1 deceased individual was included. Overall, NM is a severe, debilitating disorder associated with disability across multiple domains. There is a high degree of comorbid conditions, with more than half of individuals requiring some form of interventional support. Breathing and feeding are most commonly affected, reflecting bulbar and axial weakness, which appears more severe compared to extremity weakness and dysfunction. The prominence of axial weakness is further seen through the high proportion of participants with scoliosis and by the fact that scoliosis was the disease feature most likely to change over time. Outside of scoliosis, evidence pointed to little disease progression over time, particularly in terms of requirements for assistive support devices.
One of the most impactful aspects of our study is that it examined and defined potential outcome measures in patients with NM. Previous natural history and genotype-phenotype studies were limited to retrospective chart reviews and therefore did not assess outcome measures. We addressed this need by evaluating several motor measures, pulmonary function studies, and an exploratory measure of bulbar function. As with other neuromuscular disorders, MFM scores were reduced in most patients with NM, with most exhibiting the largest reduction in domain 1. There were very few floor and ceiling effects in our cohort. In our longitudinal cohort, MFM changed in most individuals, indicating that it may show suitable change to be used as a primary outcome in an interventional study. However, our study size was limited, and our data points were separated by several years. In the future, a more thorough examination of MFM20 and MFM32 (as well as the other measures) is warranted with an increased number of patients and more frequent assessments to determine whether and how best to use this scale for this population. In addition, it will be critical to correlate changes in MFM scores with clinically meaningful disease processes so that a minimal clinical change in the score can be specifically established for NM.
One feature of our study was the examination of the slurp test in our cohort. This test was previously examined in a mixed cohort of neuromuscular diseases and healthy controls.30 All individuals with NM evaluated with this test had abnormal values, with times that were often more than 2- to 3-fold slower than normal. Thus, this measure holds promise as an easy and clinically relevant outcome in NM. As with MFM, future studies will be required to assess its true variability and rate of change.
Previous studies of NM examined cohorts with little or no information available about genetic etiology. For example, the study by Ryan et al.18 was done when there was limited access to NEB sequencing, and therefore, a large number of patients in their cohort were genetically unsolved. Yin et al.19 did not perform any genetic testing in their cohort. Here, we have been better able to assess genotype-phenotype correlations across our cohort because 40 of 57 participants had a genetic diagnosis. Unsurprisingly, patients with mutations of the NEB or ACTA1 genes represented the majority of cases, consistent with previous data showing that these are by far the most common genotypes. Thus, our primary comparison was between these 2 subgroups. Keeping in mind the caveat that the most severely affected patients may have been underrepresented, it was striking that the phenotypic characteristics of patients with both genotypes were quite similar, with an equivalent extent of disabilities similar to the findings of Colombo et al.21 We did find, however, that individuals with ACTA1 mutations had more feeding difficulties, as also reported by Maggi et al.20
Despite comprehensive genetic testing, we had a relatively large group of genetically unsolved cases. Ongoing investigations using modalities such as whole-genome sequencing combined with RNA sequencing32–34 will, we hope, elucidate the cause of disease in many of these individuals. Of note, our unsolved cohort appeared overall to be more severely affected compared to the ACTA1 and NEB subgroups. It remains to be confirmed if they will fit genetically with our classic definition of NM as a disease due to mutations in genes encoding thin filament–associated proteins.
Except for scoliosis and decline in MFM20 scores, our longitudinal assessment showed that the disease process is largely stable over time, similar to what Ryan et al found.18 Few individuals who did not already require breathing or walking support developed this need over a 7-year period. While no dramatic functional changes were noted, as described above, more than half of the cohort had a >5-point decline in MFM20, indicating possible progression in motor phenotype. The previously established minimal clinically important difference for MFM32 in other neuromuscular disorders is 5 points (5.2%).31 While an minimal clinically important difference has not be established for MFM20, a 5-point change would represent an 8.3% difference and would suggest that this change is likely clinically meaningful. Future studies will be needed to determine whether the decline in MFM score is due to progressive muscle weakness or instead reflects increased motor difficulties associated with age and weight/size but not overtly reduced muscle strength.
There are caveats to our longitudinal analysis, the most prominent being that we assessed only 16 individuals at both time points. An additional limitation is a likely bias of ascertainment in favor of participants with milder clinical presentations compatible with traveling to a family conference. There is clearly a population of severely affected patients who do not survive the first few years of life and would not be enrolled in a study such as this. In addition, medically fragile and ventilator-dependent patients are potentially less likely to participate, particularly if air travel is required to attend the conference. Expanding the study to a larger, more representative group of patients is required for a more complete understanding of outcome measures and disease progression across the spectrum of NM presentations.
We present a comprehensive cross-sectional study with a longitudinal component. This study provides new and updated information on the NM disease process, which should guide clinical care. We also investigate potential outcome measures for future clinical trials and establish that the MFM20/32, PFTs, and slurp test may all provide meaningful data for testing interventions to treat NM.
Acknowledgment
The authors are deeply grateful for the families who participated in the study and A Foundation Building Strength for their funding and for allowing the authors to run the study at the family meetings. Special thanks go to Marc Guillet, who has been a driving force and inspiration behind the organization of this study. The authors also acknowledge and thank Rebekah Hunter for her assistance in manuscript preparation by reviewing manuscript requirements as per the Neurology® website and adding references.
Glossary
- FVC
forced vital capacity
- MFM
Motor Function Measure
- MRC
Medical Research Council
- NM
nemaline myopathy
- PFT
pulmonary function test
Appendix. Authors
Footnotes
CME Course: NPub.org/cmelist
Study Funding
This study was funded by A Foundation Building Strength and relied on genotypic data developed with support from the Muscular Dystrophy Association (United States) and grants R01HD075802 and U54HD090255 from the National Institute of Child Health and Human Development of the NIH.
Disclosure
The authors report no disclosures relevant to the manuscript. Go to Neurology.org/Nhttps://n.neurology.org/lookup/doi/10.1212/WNL.0000000000011458 for full disclosures.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Deidentified data will be shared on request with any qualified investigator. Supplemental figures (figures e-1–e-6) are available from Dryad: doi.org/10.5061/dryad.z08kprrb9.