Abstract
Objective:
To determine the prevalence and features of fatty liver disease in spinal and bulbar muscular atrophy (SBMA).
Methods:
Two groups of participants with SBMA were evaluated. In the first group, 22 participants with SBMA underwent laboratory analysis and liver imaging. In the second group, 14 participants with SBMA were compared to 13 female carriers and 23 controls. Liver biopsies were done in 4 participants with SBMA.
Results:
Evidence of fatty liver disease was detected by magnetic resonance spectroscopy in all participants with SBMA in the first group, with an average dome intrahepatic triacylglycerol of 27% (range 6%–66%, ref ≤5.5%). Liver dome magnetic resonance spectroscopy measurements were significantly increased in participants with SBMA in the second group relative to age- and sex-matched controls, with average disease and male control measurements of 17% and 3%, respectively. Liver biopsies were consistent with simple steatosis in 2 participants and nonalcoholic steatohepatitis in 2 others.
Conclusions:
We observed evidence of nonalcoholic liver disease in nearly all of the participants with SBMA evaluated. These observations expand the phenotypic spectrum of the disease and provide a potential biomarker that can be monitored in future studies.
Spinal and bulbar muscular atrophy (SBMA) is a hereditary adult-onset neuromuscular disease primarily affecting men.1 It is caused by a CAG repeat expansion mutation in the androgen receptor (AR) gene on the X chromosome.2 Patients with SBMA develop slowly progressive extremity and facial weakness, typically in the 4th or 5th decade of life.3,4 Female carriers of the disease gene are generally not symptomatic.5
SBMA likely involves both a loss of normal function and a toxic gain of function of the mutant AR. The gain of function is characterized by toxicity to muscle and nerve, and is dependent on AR ligand (dihydrotestosterone or testosterone) in cell and animal models.6 Although the neuromuscular findings and androgen insensitivity of SBMA are well-known, there are other non-neural features of the disease that have only been described recently. Abnormal bladder function and bone mineral density have been reported in patients with SBMA.7 ECG findings of Brugada syndrome were detected in 49% of patients from a large Japanese cohort.8 Features of metabolic dysfunction with elevated serum levels of triglycerides, cholesterol, and glucose have been reported.4,7 In addition, measures of insulin resistance were found to be increased in a cohort of 55 patients with SBMA.9
Nonalcoholic fatty liver disease (NAFLD), the accumulation of excess fat in the liver, is currently the most common liver disorder in the Western world and is tightly associated with obesity and the metabolic syndrome.10 Although in many cases NAFLD is limited to fat deposition (steatosis), in a subset of patients the fat accumulation is associated with liver injury and inflammation (nonalcoholic steatohepatitis [NASH]), with resultant liver fibrosis and potential to progress to cirrhosis.11 NASH can only be differentiated from steatosis on the basis of histologic evaluation, requiring a liver biopsy for full evaluation.12–14
We have noted liver imaging consistent with fatty liver in participants with SBMA seen at our institution. The aim of this study was to formally investigate our hypothesis that NAFLD is a manifestation of SBMA.
METHODS
Standard protocol approvals, registrations, and patient consents.
Participants were recruited under NIH protocols NCT01369901 and NCT00004568 (group A) and NCT02124057 (group B). The study was approved by the NIH Combined Neuroscience Institutional Review Board, and informed written consent was obtained from all participants.
Patients and clinical evaluation.
Two groups of participants with SBMA were evaluated at the NIH Clinical Center. Group A included 22 participants with SBMA seen for clinical evaluation and an exercise trial from 2013–2014. Because the high prevalence of NAFLD in the general population necessitated comparison to controls, we subsequently initiated and enrolled participants in another observational study (group B). The study enrolled 14 patients with SBMA, 13 female carriers, and 23 controls from 2014 to 2017. The data collected from group A were used to calculate a sample size needed to test for a difference in liver fat between participants with SBMA and male controls with a power of 80% and significance level of 0.05. Of the 23 controls, 14 were male controls who were age-matched (±5 years) to the participants with SBMA and the other 9 were female controls age-matched to the SBMA carriers. All were screened by a neurologist and hepatologist to evaluate their eligibility for the study. Participants with SBMA and carriers were genetically diagnosed before enrollment, and CAG repeat length measurements were obtained from a Clinical Laboratory Improvement Amendments–certified laboratory. Participants with SBMA and controls were excluded from participation if they had a history of nonfatty liver disease, heavy alcohol consumption (greater than 1 drink per day for women and 2 drinks per day for men),15 or an acquired condition that would be expected to affect liver function, such as viral or autoimmune hepatitis.
Laboratory analysis.
Fasting blood was collected and analyzed by the NIH Clinical Center Department of Laboratory of Medicine for standard liver and metabolic tests as well as screening tests for viral hepatitis and other liver diseases. Serum samples from participants in group A were centrifuged for 5 minutes at 2,000 × g, stored at −80°C, and then batch tested for insulin-like growth factor-binding protein-3 using the IMMULITE IGFBP-3 assay test (Siemens Medical Solutions; Malvern, PA).
Liver imaging.
Liver and muscle fat content was assessed by 1H magnetic resonance spectroscopy (MRS).16 Triacylglycerol (TG) content was quantified at 3 standard voxel localizations (3 × 3 × 3 cm), including the dome of the right hepatic lobe, the right inferior lobe, and the left lobe. The measurement of the dome of the right hepatic lobe was primarily used for measurement of fat content, as this location has been shown to have optimal intrahepatic voxel placement and to yield high-quality spectra.16 Proton density fat fraction was calculated from the integral peak areas with a standardized formula.17 TG content of the thigh muscles was similarly calculated as an average of the quadriceps and hamstring muscle voxel locations. MRS data were analyzed unblinded in group A and blinded in group B. In addition, semiquantitative estimation of steatosis was performed in a blinded manner using ultrasound by a trained radiologist. Participants who had evidence of steatosis on either imaging modality were defined as having fatty liver.
Liver samples.
Participants with SBMA with persistent elevation of transaminases and imaging findings of fatty liver disease were offered a liver biopsy. Biopsy samples were divided with one aliquot stored in RNALater for RNA analysis, one aliquot formalin-fixed for standard histologic evaluation, and a third aliquot flash-frozen in liquid nitrogen. For gene expression analysis, we compared the participants with SBMA to age- and sex-matched NASH and control liver samples from the Liver Tissue Cell Distribution System (Minneapolis, MN), which is funded by NIH Contract HHSN276201200017C. For immunohistochemical assays, the SBMA samples were compared to 2 control adult male biopsy samples.
Hepatic gene expression.
Total RNA was extracted from pulverized frozen samples using TRIzol Reagent per manufacturer recommendations (ThermoFisher Scientific, Waltham, MA). All the samples had a 280/260 ratio ≥1.9. cDNA was generated from 250 ng of purified RNA using the RT2 First Strand Kit (Qiagen, Venlo, the Netherlands) protocol. The Fatty Liver RT2 Profiler PCR Array (PAHS-157 ZE, Qiagen) was used to evaluate fatty liver signaling pathways using 3 control liver samples, 3 NASH liver samples, and 3 of the SBMA liver biopsies we obtained. The Ct value was normalized to the average of 5 housekeeping genes in the array. Fold change was calculated based on the average of the normalized Ct values. Pathways were selected according to the manufacturer's recommendations; a given gene may be included in more than one pathway.
Hepatic expression of the AR was quantified in 2 ng of cDNA using digital droplet PCR (ddPCR) on the Bio-Rad QX200 Droplet Digital PCR System (Bio-Rad, Hercules, CA) and a commercially available probe (dHsaCPE5047114; Bio-Rad). The reaction was run using the manufacturer's settings. The results were analyzed using QuantaSoft Software (Bio-Rad).
Histology and AR staining of liver biopsies.
Formalin-fixed liver tissue was sectioned and stained with hematoxylin & eosin, Masson trichrome, and both ubiquitin (Dako, Santa Cruz, CA) and AR (Santa Cruz Biotechnology, Dallas, TX) antibodies. Histology slides were scored for histologic features of fatty liver disease by an experienced hepatopathologist (D.E.K.) according to the NASH Clinical Research Network scoring system.18
Statistical analysis.
Comparisons between disease and control populations were performed using a 2-tailed Student t test with p < 0.05 to determine significance. Univariate correlation analysis was performed using a linear regression model to calculate the R2 goodness of fit and corresponding p value. Multivariate linear regression was performed using SPSS Statistics v.19 (IBM, Armonk, NY).
RESULTS
Prevalence of fatty liver in SBMA.
Twenty-two male participants with SBMA completed clinical evaluation, including liver imaging and laboratory testing in group A (table 1). The average age was 54 years and all had symptomatic weakness at the time of evaluation. Alanine aminotransferase (ALT) was elevated (>30 U/L) in 21 (96%) and creatine kinase (CK) was elevated in 20 (91%). Overall, fatty liver (hepatic steatosis) was found in all 22 participants by at least one imaging modality. Twelve of the 16 participants who had liver ultrasound were found to have steatosis, with 3 (19%) assessed as mild, 6 (38%) moderate, and 3 (19%) severe. MRS performed in 19 participants showed liver dome intrahepatic triacylglycerol (IHTG) >5.5% in all who were evaluated (range 6%–66%).
Table 1.
To further investigate the finding of fatty liver disease in SBMA, we conducted another observational study in a separate group of 14 participants with SBMA (group B) together with SBMA carriers and age- and sex-matched controls (table 2). The SBMA, carrier, and female control groups were composed of greater than 80% Caucasian participants, with the male control group having approximately 50% African American and 50% Caucasian participants. Similar to group A, ultrasound showed steatosis in 11 of the 14 participants with SBMA (79%), while MRS showed liver dome IHTG >5.5% in 11 (79%; figure 1, A and B). All but one participant with SBMA in group B was found to have steatosis by at least one imaging modality. ALT was elevated in 10 (71%) and CK in 12 (86%) participants.
Table 2.
Clinical features in participants with SBMA.
To evaluate clinical features in participants with SBMA in relation to hepatic steatosis, we combined patients from the 2 groups (n = 36). ALT correlated with CK (r = 0.63, p < 0.0001; figure 1C), but showed no association with liver dome IHTG (r = 0.31, p = 0.09; figure 1D). Similarly, on multivariate regression with both CK and IHTG, ALT was significantly associated with CK (p < 0.001) but not with liver dome IHTG (p = 0.29).
Liver dome IHTG was significantly associated with body mass index (BMI) (r = 0.44, p = 0.01; figure 1E), as expected. Interestingly, liver dome IHTG was also >5.5% in 8 of the 9 participants with normal BMI (<25 kg/m2). On univariate analysis, liver dome IHTG showed no significant association with the length of the CAG repeat in the AR gene (r = 0.32, p = 0.08; figure 1F). On multivariate analysis with BMI and CAG repeat length, liver dome IHTG was independently associated with both BMI (p = 0.009) and CAG repeat length (p = 0.06). Thus, the known association of liver fat content with BMI may be modulated in SBMA by the severity of the genetic abnormality. The NAFLD Fibrosis Score (NFS) was suggested as a noninvasive tool to identify substantial liver fibrosis in patients with NAFLD.19 In the SBMA groups, only 1 (3%) participant had NFS >0.676, suggesting advanced fibrosis; 24 participants (69%) had NFS <−1.455, suggesting low risk of advanced fibrosis; and 10 (29%) had intermediate values.
We compared the participants with SBMA in group B to age- and sex-matched controls. As expected, those with SBMA had significantly higher serum levels of CK, ALT, and aspartate aminotransferase (p < 0.01) (table 2). Hepatic steatosis by MRS (IHTG > 5.5%) was seen in 11 of 14 (79%) participants with SBMA compared to 2 of 14 controls (14%, p = 0.002), despite similar BMIs. The SBMA cohort also had evidence of insulin resistance and metabolic syndrome with higher fasting glucose and insulin compared to controls. Consistent with this finding, the Homeostatic Model for Assessment of Insulin Resistance (HOMA-IR) was significantly higher in SBMA. Similarly, serum triglycerides were significantly elevated in patients with SBMA compared to controls. Female carriers had muscle and liver enzymes that were not different from those of controls and no evidence of insulin resistance. Although 39% of carriers had abnormal findings on ultrasound, only low rates of steatosis were detected by MRS (2 of 13 [15%]; figure 1A).
Muscle fat deposition.
SBMA is known to result in muscle degeneration, and thigh muscle MRS demonstrated fatty infiltration (table 2). Muscle fat deposition correlated significantly with liver fat (IHTG) in participants with SBMA (r = 0.43, p = 0.01; figure 1B). The average thigh muscle triacylglycerol content was significantly higher in the SBMA group (30 ± 24%) compared to the controls (6 ± 4%, p < 0.001) and female carriers (6 ± 3%, p = 0.002).
Liver sample analysis.
Four participants with SBMA consented to undergo liver biopsies (table e-1 at Neurology.org). Two had steatosis with minimal inflammation and no fibrosis (figure 2A). The 2 other participants had steatohepatitis, one with mild ballooning injury but without fibrosis (figure 2, B and C) and one with prominent ballooning hepatocellular injury, Mallory-Denk bodies, and perisinusoidal fibrosis (figure 2, D–F).
Liver biopsy samples were further analyzed from 3 healthy controls, participants with NASH, and participants with SBMA. Hepatic expression of the AR by ddPCR was reduced by 85% in the SBMA samples compared to normal liver control samples (p < 0.05), whereas the non-SBMA NASH samples showed an intermediate reduction of 55% (n = 3 for each group; figure 3A). Immunohistochemical staining for the AR showed nuclear localization within the hepatocytes (figure 3B). AR staining in the patient tissues showed patchy areas of increased nuclear staining compared to control samples. We observed most of the AR staining in the nonsteatotic periportal hepatocytes (zone 1).
To better describe the molecular pathways that are affected, we analyzed hepatic gene expression using a targeted array of 84 genes that had been previously characterized in fatty liver disease. Overall, 72% of the genes present in the array contain an androgen responsive element.20 The gene expression pattern in SBMA was different from both normal liver controls and from those with non-SBMA NASH (figure 3C). Differentially expressed genes included those involved in β-oxidation, insulin signaling, and adipokine signaling (figure e-1). Retinol binding protein 4 (RBP4) expression levels were increased in the SBMA samples compared to controls. The SBMA samples had less activation of inflammatory response and apoptosis pathways compared to NASH.
DISCUSSION
We report near-universal excess deposition of triacylglycerol in the liver as part of the disease spectrum in SBMA, which is typically considered a neuromuscular disease. Participants with SBMA had additional features of the metabolic syndrome beyond fatty liver, including elevated glucose, insulin, and serum triglyceride. Studies of larger groups of patients with SBMA have also identified elevations in serum cholesterol levels,9 but our population size of 14 may have limited our ability to detect it. Interestingly, features of metabolic syndrome and liver fat content were present in patients with SBMA despite BMI values that were similar to controls. For the carriers, normal MRS hepatic triacylglycerol and laboratory findings suggest that liver function is not affected. The control group was enriched for African Americans, which may have contributed to the lower rate of NAFLD, as previously reported.21 However, the extremely high prevalence of fatty liver in the participants with SBMA is higher than any reported population-based estimates, including another analysis of healthy volunteers at the NIH Clinical Center, where 28% had NAFLD.22
Several features of the fatty liver in the SBMA suggest a direct association with the underlying disease: the near-universal presence of excess fat deposition, the presence of fatty liver despite normal BMI, and the difference in hepatic gene expression pathways involved in fatty liver disease between patients with SBMA and those with typical NASH (figure e-1).
The association of liver and thigh muscle fat in the SBMA cohort suggests that these 2 tissues may be similarly affected in the disease. Primary muscle23,24 and motor neuron degeneration25 have both been implicated in the pathogenesis of the disease, and toxicity may occur in the liver at a similar rate. However, whether SBMA causes fatty liver through a direct effect on the liver or indirectly from other organs is unknown. Impairment in insulin sensitivity and alterations in skeletal muscle insulin receptor levels have previously been reported in SBMA.9 Furthermore, decreased levels of activity due to the neuromuscular degeneration could also contribute to skeletal muscle insulin resistance; this in turn may contribute to increases in blood glucose and drive adipose tissue and hepatic lipogenesis. The fatty liver change may be a direct consequence of insulin resistance in the liver or skeletal muscle, and future studies will be needed to look for similar findings in other neuromuscular diseases with impaired fasting glucose. Interestingly, we did not detect a relationship in the SBMA cohort between muscle triacylglycerol content and HOMA-IR. Insulin-like growth factor 1 (IGF-1) has important trophic effects on the muscle and spinal cord26,27 and is mostly synthesized in the liver. We have found low serum IGF-1 levels in a larger study of 56 patients with SBMA and 170 controls (unpublished), and it is possible that the IGF-1 reduction is a cause or effect of NAFLD.28
The alteration in AR function may predispose to fatty liver disease. Our patient samples have reduced AR transcript levels; however, immunohistochemical staining showed a patchy increase in the amount of AR protein. This suggests that a loss of function, toxic gain of function, or combination of both may result in the fatty liver finding. Mice with conditional knockout of hepatic AR have been reported to develop liver steatosis and insulin resistance, indicating that loss of normal AR function could be contributing in patients.29 Furthermore, these mice showed alterations in metabolism of the skeletal muscle, white adipose tissue, and liver, expanding the role of the liver AR function in metabolic homeostasis in multiple organ systems. Similarly, studies of serum androgen levels in men have shown impairments in testosterone levels associated with NAFLD.30,31 Our finding of increased RBP4 expression is consistent with a previous observation in adipocytes, where RBP4 expression was significantly increased with AR knockout.32 The RBP4 gene contains an androgen response element,20 providing a potential substrate for the mutant AR to cause altered RBP4 expression. Impairments in autophagy and endoplasmic reticulum stress may also be responsible for increased triacylglycerol storage in SBMA liver.33–37 An association between higher free testosterone and NAFLD in a large cohort of premenopausal women also suggests a potential role for selective AR gain of function in mediating fatty liver changes.38 However, this relationship appears to be reversed in men, in whom lower levels of testosterone39 and sex hormone binding globulin40 were found to be associated with fatty liver disease.
This study has important implications for the management of patients with SBMA. The liver serves a crucial role in drug metabolism, and those prescribing medications or evaluating candidate therapeutics for patients with SBMA should be aware of the risk for fatty liver disease and monitor hepatic function. Furthermore, patients with SBMA often present with elevated liver enzymes. Importantly, we did not detect any patient with SBMA with features of end stage liver disease, and although most participants were found to have steatosis, only one had an NFS score suggestive of fibrosis and more advanced disease. Whether the consequences of fatty liver changes in SBMA are milder than typical NAFLD remains to be seen. The diagnosis of NASH requires histologic evaluation, and the small number of liver biopsies performed in this study limits our understanding of how frequently NASH occurs in this population. Noninvasive assessments of severity of NAFLD/NASH are limited in their accuracy; however, although most participants were found to have steatosis, only one had an NFS score suggestive of fibrosis and advanced disease. The liver is accessible to frequent monitoring with MRS and ultrasound testing, which may serve as a biomarker to monitor in future studies. Furthermore, the study of mutant AR in liver tissue of patients with SBMA and animal models may be a useful tool for further investigating the disease mechanism of SBMA and NAFLD.
ACKNOWLEDGMENT
The authors thank Elizabeth Hartnett, MSW (NINDS, NIH), for her help in scheduling participants during the study; the clinical staff of the outpatient NIH neurology and gastroenterology clinics for their assistance during the participants' visits; the research participants; and the Liver Tissue Cell Distribution System at the University of Minnesota for providing control and NASH liver samples. The authors thank Dr. Nicholas Maragakis (Johns Hopkins University) for his help as a safety monitor during this study.
GLOSSARY
- ALT
alanine aminotransferase
- AR
androgen receptor
- BMI
body mass index
- CK
creatine kinase
- ddPCR
digital droplet PCR
- HOMA-IR
Homeostatic Model for Assessment of Insulin Resistance
- IGF-1
insulin-like growth factor 1
- IHTG
intrahepatic triacylglycerol
- MRS
magnetic resonance spectroscopy
- NAFLD
nonalcoholic fatty liver disease
- NASH
nonalcoholic steatohepatitis
- NFS
NAFLD Fibrosis Score
- RBP4
retinol binding protein 4
- SBMA
spinal and bulbar muscular atrophy
- TG
triacylglycerol
Footnotes
Supplemental data at Neurology.org
AUTHOR CONTRIBUTIONS
R.D. Guber and Dr. Takyar: acquisition of data, analysis of data, and drafting of the manuscript. A. Kokkinis and Dr. Fox: study design, acquisition of data, and revising of the manuscript. Drs. Alao, Remaley, Hewitt, Kleiner, Liu, and Hadigan: acquisition of data and revising of the manuscript. I. Kats and D. Bakar: analysis of data and revising of the manuscript. Dr. Fischbeck: revising of the manuscript and study design. Drs. Rotman and Grunseich: study design, acquisition of data, analysis of data, and drafting of the manuscript.
STUDY FUNDING
Study funded by intramural research funds from the National Institute of Neurologic Disorders and Stroke, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Allery and Infectious Diseases, and National Cancer Institute.
DISCLOSURE
The authors report no disclosures relevant to the manuscript. Go to Neurology.org for full disclosures.
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