Abstract
Purpose:
To test the hypothesis that undiagnosed patients with Fabry disease exist among patients affected by common heart disease.
Methods:
Globotriaosylceramide in random whole urine using tandem MS; α-galactosidase A activity in dried blood spots; next-generation sequencing of pooled or individual genomic DNA samples supplemented by Sanger sequencing.
Results:
We tested 2256 consecutive patients, 852 women (median age 65 [19–95]), 1404 men (median age 65 [21–92]). Primary diagnosis was coronary artery disease (n=994), arrhythmia (n=607), cardiomyopathy (n=138), valvular disease (n=568). Urinary globotriaosylceramide was elevated in 15% of patients and 15 males had low α-galactosidase A activity. GLA variants found: R118C (n=2), D83N and D313Y (n=7); IVS6-22 C>T, IVS4-16 A>G, IVS2+990 C>A, 5’UTR-10 C>T (n=4), IVS1-581 C>T, IVS1-1238 G>A, 5’UTR-30 G>A, IVS2+590 C>T, IVS0-12 G>A, IVS4+68 A>G, IVS0-10 C>T, IVS2-81--77delCAGCC, IVS2-77delC.
Although the pathogenicity of several of these missense mutations and complex intronic haplotypes has been controversial, none of the subjects screened in this study was diagnosed definitively with Fabry disease.
Conclusion:
This population of common heart disease patients did not contain a substantial number of undiagnosed Fabry patients. GLA gene sequencing is superior to urinary globotriaosylceramide or α-galactosidase A activity in the screening for Fabry disease.
Keywords: Fabry disease, X-linked, heart disease, screening
INTRODUCTION
Fabry disease is an X-linked genetic disorder (OMIM 301500). The incidence of the disease has been estimated to be 1 in 117,000 live male births;1 however, recent newborn screening surveys suggest that the incidence may be 10 times higher.2–4 The most common complication of Fabry disease is cardiac dysfunction that may include a cardiomyopathy, atrio-ventricular conduction defects, arrhythmia, valvular dysfunction, and non-atherosclerotic coronary vascular disease.5, 6 Increased stroke risk,7 progressive renal failure8 and a painful small-fiber neuropathy9 occur commonly as well.10 Fabry disease is caused by a deficiency of the lysosomal enzyme α–galactosidase A and accumulation of the glycosphingolipid globotriaosylceramide (Gb3) in most cells and organs, as well as an increase of Gb3 in urine.11–13 Urinary Gb3 is not primarily in the filtrate, but mostly in shed renal tubular cells.13, 14 Increased blood and urine Gb3 and lyso-Gb3 are considered important specific biomarkers in this disease, and are often used in screening and diagnosis for this disorder.15,16
Since cardiac manifestations of Fabry disease are common and largely non-specific in their clinical presentation, we screened for this disorder in patients with common heart disease. We hypothesized that there are patients with undiagnosed Fabry disease, particularly with later onset mutations, among patients with all forms of heart disease seen in the general population, although the incidence may be higher in more specific types of heart disease, such as hypertrophic cardiomyopathy.17–19
MATERIALS AND METHODS
Patients
We screened for Fabry disease in a population of patients with multiple forms of cardiovascular disease (ClinicalTrials.gov Identifier: NCT01019629). These included coronary artery disease, conduction or rhythm abnormalities, non-ischemic cardiomyopathy, and valvular dysfunction. The patients were ambulatory, had to be over 18 years of age and were seen at a number of institutions in Dallas: Baylor Heart and Vascular Hospital in Dallas, the Heart Hospital at Baylor Plano, Soltero Cardiovascular Research Center, and cardiology outpatient clinics in Dallas, Texas. More than 95% of patients who were asked to participate in the study accepted and gave a written informed consent. The Institutional review board (IRB) of the Baylor Research Institute provided oversight for the study. We estimated that about 0.5–2% of all patients screened will be positive for Fabry markers and the screening of at least 1000 subjects was considered adequate.
Screening for Fabry disease was performed by measuring urinary Gb3 in randomly collected samples of whole urine using ultra high pressure chromatography-tandem mass spectrometry (UPLC-MS/MS), measuring α-galactosidase A activity in dried blood spots by flow injection analysis-tandem mass spectrometry (FIA-MS/MS), and testing for GLA gene mutations by parallel sequencing of the whole gene in pooled genomic DNA samples.
Urinary Gb3 analysis by mass spectrometry (MS)
Analysis was performed as previously described.20
α-Galactosidase A activity evaluation by tandem mass spectrometry
Enzyme analysis was performed as previously described.20
GLA gene analysis
GLA gene variants were searched for in pooled DNA using massively parallel sequencing21 or in individual genomic DNA samples using Illumina MySeq platform. Briefly, The SmartChip MyDesign TE system is designed to enrich multiple samples for multiple resequencing targets simultaneously using a 4-PCR-primer amplification strategy. The system consists of the SmartChip MyDesign Chips that contain 5184 nanowells. The separate, 100-nL reactions are then amplified using the Techne Prime Thermal Cycler, which is preprogrammed with the recommended thermal cycling program and equipped with an adapter plate for cycling 1 or 2 chips. After the PCR, pooled amplicons are collected from the chip(s) via centrifugation using single-use components supplied in the SmartChip TE Collection Kit. The library was then loaded on Miseq platform. Raw image files were processed by base calling Software for base calling with default parameters and the sequences of each individual were generated as 250 base pairs paired-end reads. Conventional Sanger sequencing was used to further analyze individual samples from selected patient DNA pools.
RESULTS
A total of 2256 consecutive patients were screened for Fabry disease – 1404 were male (62.2%) and 852 female (37.8%). Median age of women was 65 years [19–95]) and men was 65 years [21–92]). Eighty-four patients were Hispanic and 2048 were non-Hispanic (plus 124 African Americans) Caucasians. All types of complications related to heart disease were represented in this study. Overall, the primary diagnosis was coronary artery disease in 994 patients, arrhythmia in 607, cardiomyopathy in 138 and valvular disease in 568 patients. Patients often had more than one type of clinical cardiac abnormality (Figure 1). Table 1 describes physiological and biochemical characteristics of the screened patient population with heart disease, including urine Gb3 and whole blood α-galactosidase A activity. Table 2 describes the GLA gene variants that were identified. α-Galactosidase A was abnormally low in 1% (15/1404) of men and 0.8% (7/ 852) of women (Figure 2). Urine Gb3 was abnormally elevated in 9.8% (138/1404) of men and 8.1% (69/852) of women. Out of the 22 patients with abnormally low α-galactosidase A level, 6 had abnormally high Gb3, but none had GLA gene variants. We found that none of the 19 patients with variants had abnormally low α-galactosidase A, while 9 of them had abnormal urine Gb3 levels (Figure 2). Interestingly, several of the missense mutations and complex intronic haplotypes that were identified have been reported in the medical literature to cause Fabry disease or Fabry-related symptomatology in specific cases.22–25 However, the male patients with these variants identified in this population did not have sufficiently low α-galactosidase A enzyme activity to result in clinical Fabry disease. About half of the patients identified were female, and α-Gal A activity was normal as is common even in females with Fabry disease due to the presence of the wild-type GLA allele. The frequency of the exonic and intronic variants we identified in our patient population was no higher than their respective frequencies in the general population based on the 1000 genome (http://www.internationalgenome.org/data) or ExAc (http://exac.broadinstitute.org) databases (data not shown). The incidence of specific combinations of haplotypes in the general population is unknown.
Figure 1.

Venn diagram of cardiac diagnoses in this study
Table 1.
Clinical and biochemical characteristics
| Mean | Median | SD | Min | Max | Range | |
|---|---|---|---|---|---|---|
| Weight (Kg) | 88.76 | 86.05 | 21.88 | 38.7 | 200.66 | 361.96 |
| Height (cm) | 172.69 | 172.72 | 10.6 | 105.45 | 200.66 | 95.21 |
| BMI | 29.74 | 28.48 | 7.49 | 15 | 180.45 | 165.45 |
| HDL (mg/dL) | 45.94 | 43 | 17.77 | 11 | 357 | 346 |
| LDL (mg/dL) | 94.94 | 90.5 | 35.12 | 10 | 279 | 269 |
| Urine Gb3 (ng/mL) | 133.29 | 101 | 169.51 | 9 | 4145 | 4136 |
| α-Galactosidase A (μmol/L/hr) | 6.06 | 5.51 | 3.58 | 0.59 | 105.62 | 105.03 |
| HDL (mg/dL) | 45.94 | 43 | 17.77 | 11 | 357 | 346 |
| LDL (mg/dL) | 94.94 | 90.5 | 35.12 | 10 | 279 | 269 |
Gb3: 200 ng/mL 99%ile; α-galactosidase A activity: normal > 2 μmoles/L/hr
Table 2.
GLA gene variants identified and subject clinical characteristics
| Alpha-galactosidase A activity | Urine Gb3 | Mutation | Gender | Age at consent | Arrhythmia | CAD | MI | Valve | ICM | HCM | CHF | CVA | CKD/ESRD | Hypothyroid | DM | COPD | HTN | HLP | Septal Hypertrophy | LVH |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4.03 | 564 | 5’UTR-10C>T, IVS1–518T>C, IVS2–77delC, IVS2+990C>A, IVS4–16A>G, IVS6–22C>T, | M | 82 | X | X | X | X | X | |||||||||||
| 6.97 | 805 | IVS1–1238G>A, IVS4–16A>G | M | 63 | X | X | X | X | X | X | X | |||||||||
| 3.55 | 2208/ 4 | 5’UTR-30G>A | M | 56 | X | X | X | X | X | |||||||||||
| 7.48 | 1261 | 5’UTR-10C>T, IVS1–518T>C, IVS2–77delC, IVS2+990C>A, IVS4–16A>G, IVS6–22C>T | M | 57 | X | X | X | |||||||||||||
| 6.86 | 289 | IVS2+590T>C | M | 59 | X | |||||||||||||||
| 5.96 | 274 | IVS1–1238G>A | M | 62 | X | X | X | X | X | X | ||||||||||
| 3.34 | 119 | Asp83Asn/c.247G>A, Gat/Aat | F | 71 | X | X | X | X | X | |||||||||||
| 10.02 | 96/ 23 | Asp313Tyr/c.937G>T, Gat/Tat (het) | F | 49 | X | X | X | X | ||||||||||||
| 3.34 | 368/ 192 | IVS0‐12G>A IVS4+68A>G IVS6‐22C>T (hemi) | M | 59 | X | X | X | X | X | X | X | X | ||||||||
| 3.47 | 83 | Arg118Cys/c.352C>T, Cgc/Tgc | F | 35 | X | |||||||||||||||
| 8.44 | 67 | Asp313Tyr/c.937G>T, Gat/Tat (het) | F | 71 | X | X | X | X | X | |||||||||||
| 2.39 | 449/ 146 | IVS0‐10C>T, IVS2‐81‐‐77delCAGCC, IVS4‐16A>G, IVS6–22C>T (het) | F | 60 | X | X | X | X | X | X | X | X | X | |||||||
| 3.27 | 216 | IVS0‐10C>T, IVS2‐81‐‐77delCAGCC, IVS4‐16A>G, IVS6–22C>T (hemi) | M | 58 | X | X | X | |||||||||||||
| 4.1 | 70/ 41 | Asp313Tyr/c.937G>T, Gat/Tat | F | 72 | X | X | X | |||||||||||||
| 2.98 | 95 | Arg118Cys/c.352C>T, Cgc/Tgc | M | 69 | X | X | X | X | X | X | X | |||||||||
| 5.94 | NA | Asp313Tyr/c.937G>T, Gat/Tat | F | 82 | X | X | X | X | X | X | X | |||||||||
| 3.46 | 29 | Asp313Tyr/c.937G>T, Gat/Tat | F | 61 | X | X | X | |||||||||||||
| 7.93 | 13 | Asp313Tyr/c.937G>T, Gat/Tat | F | 63 | X | X | ||||||||||||||
| 2.15 | 19 | Asp313Tyr/c.937G>T, Gat/Tat | F | 52 | X | X | X | X | X | X | X |
Urine Gb3: 200 ng/mL 99%ile
α-galactosidase A activity: normal > 2 μmoles/L /Hr
MI: myocardial infarction; Valve: valvular disease; ICM: Insertable Cardiac Monitor; HCM: hypertrophic cardiomyopathy; CVA: cerebrovascular accident; DM: diabetes mellitus; COPD: chronic obstructive pulmonary disease; HTN: arterial hypertension; HLP: Hyperlipidemia
Figure 2.

Venn diagram of cardiac patients with GLA gene variant abnormality (GLA variant), abnormal α−galactosidase A activity (alpha GAL abnormally low), and elevated urine Gb3 (Gb3 abnormally high).
DISCUSSION
Using three different screening methods, we found GLA sequence variants that have been previously reported to cause Fabry disease in certain patients. However, in this group of 2256 patients with common heart disease, no previously undiagnosed patients with definitive Fabry disease were identified. Therefore, the cardiovascular common heart disease population, estimated to be approximately 85 million in the USA,26 is not likely to contain a sizable percentage of undiagnosed patients with Fabry disease; however, we could be expected to find some patients with undiagnosed Fabry disease in this population. It is likely that screening much larger cohorts or those selected high-risk populations with specific abnormalities such as idiopathic cardiomyopathy or patients on dialysis will provide a better diagnostic yield.17, 27, 28 Also, measurement of additional biomarkers, such as globotriaosylsphingosine (lyso-Gb3) and related analogues may improve the sensitivity of methods for identifying Fabry disease.29
In this study, we used a general screening approach that is novel and may serve as a template for future screening studies of at-risk populations (e.g. idiopathic stroke, hypertrophic cardiomyopathy). We looked for Fabry disease at the level of the gene, the enzyme activity in blood and the substrate in the urine in each subject, thus providing a unique opportunity to compare the different methods. We found that screening for Fabry disease using the sequencing of the whole GLA gene is the most useful method. This approach identifies pathogenic and benign variants of the GLA gene and provides a discriminating method to identify patients truly affected by Fabry disease.30, 31 On the other hand, our study demonstrates that analysis of enzyme activity or the amount of substrate in the urine alone lacks the required specificity for large-scale screening. Urinary Gb3 was elevated in about 15% of patients with heart disease who otherwise do not have GLA mutations,20 and it is known to be normal in patients with mild mutations and in females29 or is falsely elevated for other reasons.32 α-Galactosidase A activity was not useful either because females often have normal enzyme levels33 and a substantial number (15) of males screened had enzyme activity near or below 2 μmol/L/hr (data not shown), a threshold found to contain patients with Fabry disease according to other publications.34
The pathogenicity of the exonic variants that we found, R118C and D313Y, has been controversial. The R118C and D313Y variants were described in clinically diagnosed patients,35 newborn screening2, in stroke in young patients and in patients on renal dialysis in the Portuguese and Spanish populations as well as in Brazilian patients. However, more comprehensive and critical investigations showed that these variants do not definitively lead to Fabry disease-related complications.31, 36 D83N is a novel variant but the patient had normal urine Gb3 levels and no other characteristics of Fabry disease. This variant was found to have high residual α-galactosidase A activity in the HEK-293 in vitro assay.37 However, assaying the enzyme activity in peripheral white blood cells of males is required to confirm non-pathogenicity. The intronic variants we found were described in some patients and may lower enzyme activity to a certain extent but not enough to typically cause Fabry disease on their own, and elevated globotriaosylceramide was not present in skin biopsies (data not shown).38 A female with Fabry compatible phenotype who was heterozygote for a complex intronic haplotype has been reported, but the causality of this GLA gene abnormality was not conclusive.23
The combination of gene sequencing, assaying protein function and substrate levels is an approach that may be applied to screening for other genetic/metabolic disorders. Such a strategy will allow not only determination of the most reliable initial screening method, but will serve to evaluate the pathogenicity of a particular novel genetic variation by assessing whether the genetic variant is associated with a significant reduction of protein function and an elevation of the related harmful metabolite. In our opinion, an enzymopathy like Fabry disease can be considered in a patient only when an abnormality is present in the entire biologic pathway – at least at the organ/tissue level.30
ACKNOWLEDGMENTS
We would like to thank Dr. David J. Lockhart for his support of this study and key insights and Marie-Anne Schiffmann for editing and proof reading the manuscript.
Supported in part by Baylor Research Institute Foundation, Amicus Therapeutics and NIH U54 NS065768 (project LDN 6711). The Lysosomal Disease Network (U54NS065768) is part of the Rare Diseases Clinical Research Network (RDCRN), an initiative of the Office of Rare Diseases Research (ORDR), and NCATS. This consortium is funded through collaboration between NCATS, NINDS, and NIDDK.
Conflict of interest notification page
RS has received research funding from Amicus Therapeutics, Protalix Biotherapeutics, Shire and Sanofi Genzyme.
CS, NMc, LS, and XuWa have nothing to disclose
ERB, JPC, JB and XiWu are employees of Amicus Therapeutics
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