Literature DB >> 30723321

Efficacy of the pharmacologic chaperone migalastat in a subset of male patients with the classic phenotype of Fabry disease and migalastat-amenable variants: data from the phase 3 randomized, multicenter, double-blind clinical trial and extension study.

Dominique P Germain1, Kathy Nicholls2, Roberto Giugliani3, Daniel G Bichet4, Derralynn A Hughes5, Laura M Barisoni6, Robert B Colvin7, J Charles Jennette8, Nina Skuban9, Jeffrey P Castelli9, Elfrida Benjamin9, Jay A Barth9, Christopher Viereck9.   

Abstract

PURPOSE: Outcomes in patients with Fabry disease receiving migalastat during the phase 3 FACETS trial (NCT00925301) were evaluated by phenotype.
METHODS: Data were evaluated in two subgroups of patients with migalastat-amenable GLA variants: "classic phenotype" (n = 14; males with residual peripheral blood mononuclear cell α-galactosidase A <3% normal and multiorgan system involvement) and "other patients" (n = 36; males not meeting classic phenotype criteria and all females). Endpoints included estimated glomerular filtration rate (eGFR), left ventricular mass index (LVMi), Gastrointestinal Symptoms Rating Scale diarrhea subscale (GSRS-D), renal peritubular capillary (PTC) globotriaosylceramide (GL-3) inclusions, and plasma globotriaosylsphingosine (lyso-Gb3).
RESULTS: Baseline measures in the classic phenotype patients suggested a more severe phenotype. At month 24, mean (SD) annualized change in eGFRCKD-EPI with migalastat was -0.3 (3.76) mL/min/1.73 m2 in the classic phenotype subgroup; changes in LVMi, GSRS-D, and lyso-Gb3 were -16.7 (18.64) g/m2, -0.9 (1.66), and -36.8 (35.78) nmol/L, respectively. At month 6, mean PTC GL-3 inclusions decreased with migalastat (-0.8) and increased with placebo (0.3); switching from placebo to migalastat, PTC inclusions decreased by -0.7. Numerically smaller changes in these endpoints were observed in the other patients.
CONCLUSION: Migalastat provided clinical benefit to patients with Fabry disease and amenable variants, regardless of disease severity.

Entities:  

Keywords:  Fabry disease; classic; migalastat; pharmacogenetics; precision medicine

Mesh:

Substances:

Year:  2019        PMID: 30723321      PMCID: PMC6752321          DOI: 10.1038/s41436-019-0451-z

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


INTRODUCTION

Fabry disease (OMIM 301500) is a devastating, rare, and progressive X-linked lysosomal disorder caused by pathogenic variants in the GLA gene, resulting in functional deficiency of α-galactosidase A (α-Gal A).[1,2] This causes accumulation of globotriaosylceramide (GL-3 or Gb3) within lysosomes in various tissues, producing a wide variety of clinical symptoms and manifestations, including peripheral neuropathy, cardiovascular disease, stroke, end-stage renal disease, gastrointestinal disorders, and premature death.[1,2] Although some GLA variants do not appear to cause disease,[1] more than 1000 disease-causing variants have been reported, of which ~60% are missense.[3,4] In males, disease severity is generally inversely related to residual α-Gal A activity with variants resulting in near or complete loss of function associated with the “classic” early-onset form of the disease.[1] Females generally have later symptom onset than males, but can develop the classic phenotype due to skewed X chromosome inactivation pattern.[5,6] Enzyme replacement therapy (ERT) has been the current standard treatment for Fabry disease. ERT has been shown to reduce disease substrate (i.e., GL-3 and plasma globotriaosylsphingosine [lyso-Gb3]) and symptoms.[1,2,7-9] However, response to treatment is dependent on several factors including disease severity, and the amount of organ damage present at treatment initiation.[10-13] Furthermore, lifelong, biweekly intravenous ERT infusions are a burden, which can result in delayed treatment initiation and reduced compliance. Infusion reactions to ERT have been reported,[10] and development of anti-drug antibodies can reduce the efficacy of ERT, as demonstrated in a 5-year retrospective analysis in which 40% of males had serum-mediated antibody inhibition of agalsidase activity.[14] Migalastat, a first-in-class, orally administered small molecule, is a pharmacological chaperone that binds to and stabilizes amenable mutant forms of α-Gal A, facilitating lysosomal trafficking and increasing lysosomal enzyme activity.[4,15-19] Amenable mutant forms of α-Gal A are identified using the migalastat amenability assay, which measures migalastat-induced changes in human embryonic kidney (HEK) cells that are transfected with DNA plasmids containing GLA variants.[4] Established criteria for amenability are an increase in α-Gal A activity ≥1.2-fold above baseline and an absolute increase of ≥3% of wild-type (WT) α-Gal A after incubation with 10 µM migalastat.[4] In patients with amenable variants, migalastat is a treatment option. In the phase 3, placebo-controlled FACETS study (ClinicalTrials.gov; NCT00925301) in patients with Fabry disease and amenable variants who were either ERT-naive or had not received ERT within the past 6 months, migalastat led to reduced substrates in kidney and plasma, stabilized renal function, reduced cardiac mass, and improved gastrointestinal symptoms.[20] In the phase 3, active-controlled ATTRACT study (ClinicalTrials.gov; NCT01218659) in ERT-experienced patients, migalastat was associated with a reduction in cardiac mass, had similar effects on renal function compared with ERT, and was generally well-tolerated.[19] These results led to the approval of migalastat in the European Union, Switzerland, Australia, Republic of Korea, Israel, and Japan for the treatment of Fabry disease in patients over 16 years of age, with amenable GLA variants and GFR ≥30 mL/min/1.73 m2 (refs.[15,21]). In addition, migalastat is approved in Canada and the United States for the long-term treatment of Fabry disease in adults (≥18 years old) with amenable GLA variants.[22,23] The objective of the present analyses was to assess the clinical benefit of migalastat in the subset of male patients with the classic phenotype in the FACETS trial (i.e., multiorgan system involvement and residual peripheral blood mononuclear cell [PBMC] α-Gal A activity <3% of normal).[20] Results in male patients not meeting classic phenotype criteria and all female patients were also assessed.

MATERIALS AND METHODS

In vitro assays

Methodology for the Good Laboratory Practice (GLP)-validated in vitro assay in HEK-293 cells has been published.[4] In brief, plasmids containing WT or mutated α-Gal A complementary DNA (cDNA) were used to transfect HEK-293 cells; transfected cells were then incubated in the presence or absence of 10 µmol/L migalastat for 5 days, after which cell lysates were assayed for α-Gal A activity. Variants meeting the prespecified criteria for amenability in the assay were categorized as amenable.[4]

FACETS phase 3 study design

The multicenter, phase 3, randomized, placebo-controlled, double-blind FACETS trial to evaluate the efficacy and safety of migalastat in patients with Fabry disease and amenable variants has been described in detail.[20] Briefly, stage 1 of the study consisted of a 6-month, double-blind treatment period in which patients were randomly assigned to receive migalastat 150 mg or placebo every other day. After stage 1, patients could receive open-label migalastat 150 mg every other day for an additional 6 months, and another 12 months during an open-label extension. The study was approved by the institutional review board or ethics committee at each participating center and was conducted in accordance with the International Conference on Harmonization and Good Clinical Practice guidelines and the principles of the Declaration of Helsinki; all patients provided written informed consent.

Clinical analyses

Two subgroups of patients with amenable variants enrolled in the FACETS study were identified for evaluation: “classic phenotype” and “other patients.” The classic phenotype subgroup included male patients with the classic phenotype of Fabry disease and migalastat-amenable variants; these patients had residual PBMC α-Gal A activity <3% normal and multiorgan system involvement, defined as two or more of the following organ system involvements: renal, cardiac, central nervous system, neuropathic pain, and gastrointestinal symptoms.[20] The other patients subgroup included male patients with migalastat-amenable variants who did not meet the criteria defined above and all females.[17,20] Changes in measurements of disease severity from baseline are reported. Detailed methodology has been published.[20] Annualized rates of change from baseline to month 24 in estimated glomerular filtration rate using the Chronic Kidney Disease Epidemiology Collaboration equation (eGFRCKD-EPI) and GFR measured using iohexol clearance (mGFRiohexol) were calculated based on the slope of the linear regression between the observed values and the assessment times. Mean change from baseline to month 24 in left ventricular mass index (LVMi) was calculated based on 2D or M-mode echocardiograms assessed by a single, blinded reader at a central laboratory. Changes from baseline in number of GL-3 inclusions per renal peritubular capillary (PTC) were based on kidney biopsies performed at baseline, month 6, and month 12, which were assessed per BLISS methodology performed by 3 independent, blinded pathologists.[20,24] The same three pathologists qualitatively assessed GL-3 changes in podocytes, endothelial cells, and mesangial cells. Change from baseline to month 24 in plasma lyso-Gb3 levels was based on measurements of retained iohexol plasma samples from each time point. Twenty-four-hour urine protein levels were measured by a central laboratory. PBMC α-Gal A activity was measured with a fluorescence assay of PBMC lysates and normalized to total protein.[4] The Gastrointestinal Symptoms Rating Scale was used to assess change from baseline to month 24 in diarrhea symptoms (GSRS-D). A response in the GSRS-D was defined as a reduction ≥0.33. The minimal clinically important difference (MCID) of 0.33 was based on estimates from the literature on several non-Fabry gastrointestinal disorders in which diarrhea is prominent.[25,26] Distribution-based estimates of MCID in Fabry disease were based on the change from baseline in the placebo arm of the FACETS study, generating an MCID of 0.35 based on half the standard deviation,[20] supporting an MCID for GSRS-D of 0.33 in Fabry patients. For all outcomes except PTC GL-3 inclusions, data are pooled for patients within the designated subgroups (classic phenotype and other patients) regardless of treatment allocation for the first 6 months (migalastat or placebo). Change from baseline to month 24 data are the change from baseline to month 24 for patients randomized to migalastat in stage 1 of the study and the change from month 6 (start of migalastat) to month 24 in patients randomized to placebo in stage 1. All data were derived from post hoc analyses and formal statistical testing was not performed. Data were analyzed descriptively using mean, standard deviation (SD) or standard error (SE), and 95% confidence intervals (CIs).

RESULTS

In vitro activity

For the GLA variants found in male patients enrolled in this study who met the criteria for the classic phenotype, the mean absolute increase in α-Gal A activity with 10 µM migalastat in vitro was 24.8% of WT activity; mean activity increased by 8.2-fold above baseline (Table 1). For all other variants, mean absolute increase in α-Gal A activity in vitro was 24.5% of WT; mean activity increased by 6.8-fold above baseline (Table 1).
Table 1

Effect of migalastat on α-Gal A activity by GLA variant[4]

Measured in PBMC at baseline (month 0)aMeasured in HEK-293 cell lysate
α-Gal A mutant form-Migalastat-Migalastat+MigalastatAbsolute increase at 10 µM (%WT)α-Gal A activity at 10 µM (fold over baseline)
Amino acid changeNucleotide changeα-Gal A activity (nmol/mg/h)% WTα-Gal A activity (nmol/mg/h)% WTα-Gal A activity (nmol/mg/h)% WT
GLA variants in males meeting criteria for the classic phenotype b
p.Asp55Val/ Gln57Leuc.164 A>T; c.170 A>TBLQ0.29913N/A2526 ± 287c8.0 ± 0.58.0NC
p.Gly144Valc.431 G>T0.050.2253 ± 210.8 ± 0.12924 ± 335c9.2 ± 1.28.411.58
p.Cys174Argc.520 T>C0.281.34671 ± 27014.3 ± 0.616,505 ± 393c51.6 ± 2.037.43.53
p.Gly183Aspc.548 G>A0.040.0207 ± 150.7 ± 0.16074 ± 212c19.1 ± 1.018.429.31
p.Tyr216Cysc.647 A>GBLQ0.0673 ± 382.0 ± 0.17003 ± 305c20.7 ± 0.818.710.40
p.Leu243Phec.729 G>C0.191.12694 ± 1177.9 ± 0.314,370 ± 618c42.3 ± 1.434.45.33
p.Ile253Thrcc.758 T>C0.63/0.582.9/2.611,287 ± 50638.9 ± 3.023,417 ± 1077c80.2 ± 5.941.32.07
p.Pro259Argcc.776 C>G0.44/0.63.3/3.16681 ± 36423.3 ± 2.317,645 ± 515c60.3 ± 3.837.02.64
p.Arg301Glnc.902 G>A0.422.51914 ± 525.5 ± 0.215,547 ± 353c44.5 ± 1.039.08.12
p.Asp322Gluc.966 C>A0.20.92398 ± 1416.7 ± 0.29554 ± 667c26.8 ± 1.320.03.98
p.Gly325Argc.973 G>C0.070.3909 ± 312.6 ± 0.19244 ± 417c26.6 ± 1.424.010.17
p.Gly373Serc.1117 G>A0.290.81544 ± 694.8 ± 0.35128 ± 288c15.7 ± 0.810.93.32
GLA variants in males that did not meet criteria for the classic phenotype
p.Asp33Glyc.98 A>G1.426.59913 ± 60029.3 ± 1.824,033 ± 865c70.6 ± 2.441.32.42
p.Ala156Thrdc.466 G>ANANA907 ± 312.8 ± 0.17034 ± 289c21.9 ± 0.919.17.75
p.Asp244Asnec.730 G>ANANA10,317 ± 38630.9 ± 1.616,321 ± 402c48.7 ± 1.717.81.58
p.Arg356Trpc.1066 C>T1.221.73526 ± 24011.0 ± 0.715,570 ± 830c49.1 ± 2.638.14.42
GLA variant in female patients
p.Leu36Trpc.107 T>G241 ± 190.7 ± 0.15182 ± 463c16.6 ± 2.115.921.49
p.Gly85Aspc.254 G>A888 ± 382.7 ± 0.14534 ± 135c14.3 ± 0.911.65.10
p.Arg112Hisc.335 G>A845 ± 392.6 ± 0.15583 ± 215c17.4 ± 0.814.86.61
p.Met187Ilec.561 G>A1775 ± 575.1 ± 0.210,824 ± 555c30.7 ± 1.125.66.10
p.Pro205Thrc.613 C>A4802 ± 23014.4 ± 0.916,371 ± 647c48.8 ± 2.234.43.41
p.Gly258Argc.772 G>C9558 ± 34832.6 ± 2.122,630 ± 801c78.1 ± 5.845.52.37
p.Leu300Proc.899 T>C1277 ± 383.7 ± 0.113,219 ± 412c37.9 ± 1.234.210.35
p.Pro293Thrc.877 C>A229 ± 200.7 ± 0.14488 ± 327c13.3 ± 1.112.719.60
p.Phe 295Cysc.884 T>G1196 ± 383.4 ± 0.15051 ± 190c14.5 ± 0.611.14.22
p.Gly271Ser; Asp313Tyrfc.811 G>A; c.937 G>TBLQN/A877 ± 18c3.0 ± 0.23.0NC
p.Ile317Thrc.950 T>C2298 ± 3386.5 ± 0.67812 ± 530c23.6 ± 1.017.03.40
p.Asp264Tyrc.790 G>T143 ± 130.5 ± 0.01842 ± 100c6.2 ± 0.35.712.89
p.Gly260Alac.779 G G>C2221 ± 1427.5 ± 0.610,749 ± 403c37.4 ± 3.129.94.84
p.Met284Thrc.851 T>C606 ± 401.7 ± 0.15050 ± 268c14.3 ± 0.612.68.33
p.Gly183Aspc.548 G>A207 ± 150.7 ± 0.16074 ± 212c19.1 ± 1.018.429.31
p.Arg301Glnc.902 G>A1914 ± 525.5 ± 0.215,547 ± 353c44.5 ± 1.039.08.12
p.Ile253Thrc.758 T>C11,287 ± 50638.9 ± 3.023,417 ± 1077c80.2 ± 5.941.32.07
p.Asp322Gluc.966 C>A2398 ± 1416.7 ± 0.29554 ± 667c26.8 ± 1.320.03.98
p.Ile270Thrc.809 T>C1846 ± 1196.3 ± 0.512,416 ± 377c42.8 ± 3.036.56.73
p.Gly325Argc.973 G>C909 ± 312.6 ± 0.19244 ± 417c26.6 ± 1.424.010.17
p.Tyr216Cysc.647 A>G673 ± 382.0 ± 0.17003 ± 305c20.7 ± 0.818.710.40
p.Pro259Argc.776 C>G6681 ± 36423.3 ± 2.317,645 ± 515c60.3 ± 3.837.02.64
p.Met284Thrc.851 T>C606 ± 401.7 ± 0.15050 ± 268c14.3 ± 0.612.68.33
p.Gly258Argc.772 G>C9558 ± 34832.6 ± 2.122,630 ± 801c78.1 ± 5.845.52.37

α-Gal A α-galactosidase A, BLQ below the limit of quantification (<142 nmol/mg/h), NA not assessed, NC not calculable, PBMC peripheral blood mononuclear cells, WT wild-type.

This table lists the unique GLA variants occurring in the different patient subgroups, with some variants found in ≥1 patient; therefore, the numbers of variants do not necessarily reflect patient numbers. These data have been previously published by Benjamin et al.[4] Data on the variant relevant to the current paper have been collated from Table 1S (HEK-293) and Table 4S (PBMC) of the Supplementary Material from Benjamin et al. Data are expressed as the mean ± SEM of 20 data points: mutant α-Gal A activity is expressed as a percentage of the α-Gal A activity measured in WT cell lysates incubated without migalastat (-Migalastat) assayed in parallel. Absolute increase at 10 µM (%WT) = the percentage of wild-type α-Gal A activity with 10 µM migalastat ( + Migalastat) minus the baseline (-Migalastat) percentage of wild-type α-Gal A activity. BLQ indicates that the mean α-Gal A activity (mean of n = 20) was below the limit of quantification ( nmol/mg/h; value is equal to 3 c standard deviation of the pcDNA activity in nmol/mg/h after vector subtraction across 128 samples assayed in ten method validation experiments).

α-Gal A activity at 10 µM (fold over baseline) = α-Gal A activity in mutant-transfected cell lysate with 10 µM migalastat / α-Gal A activity in mutant-transfected cell lysate without migalastat. Statistically significant differences in α-Gal A activity without migalastat (n = 20) versus with 10 µM migalastat (n = 20) were determined using a one-tailed Mann–Whitney U nonparametric test:

aPBMC data are only shown for male patients.

bCriteria for the classic phenotype: male, PBMC α-Gal A activity <3% of normal, multiorgan disease.

cα-Gal A mutant forms that show a statistically significant increase in α-Gal A activity after incubation with 10 μM migalastat. P < 0.001.

dTwo male patients with the classic phenotype included in the FACETS trial had this variant.

eThe PBMC α-Gal A value at baseline from one male patient (p.A156T) was implausible because it was higher than any baseline value from all other male patients in the study (in fact, the baseline value is within the typical range of baseline values from female patients in AT1001-011), and it was higher than any one of this male’s other visits. Therefore, this patient was excluded from this analysis and is not represented in this table.

fThe PBMC α-Gal A value at baseline was missing for one male patient (p.D244N) treated with migalastat in stage 1 and stage 2. Therefore, this patient was excluded from this analysis and is not represented in this table.

gVariant not reported as Fabry disease–associated.

Effect of migalastat on α-Gal A activity by GLA variant[4] α-Gal A α-galactosidase A, BLQ below the limit of quantification (<142 nmol/mg/h), NA not assessed, NC not calculable, PBMC peripheral blood mononuclear cells, WT wild-type. This table lists the unique GLA variants occurring in the different patient subgroups, with some variants found in ≥1 patient; therefore, the numbers of variants do not necessarily reflect patient numbers. These data have been previously published by Benjamin et al.[4] Data on the variant relevant to the current paper have been collated from Table 1S (HEK-293) and Table 4S (PBMC) of the Supplementary Material from Benjamin et al. Data are expressed as the mean ± SEM of 20 data points: mutant α-Gal A activity is expressed as a percentage of the α-Gal A activity measured in WT cell lysates incubated without migalastat (-Migalastat) assayed in parallel. Absolute increase at 10 µM (%WT) = the percentage of wild-type α-Gal A activity with 10 µM migalastat ( + Migalastat) minus the baseline (-Migalastat) percentage of wild-type α-Gal A activity. BLQ indicates that the mean α-Gal A activity (mean of n = 20) was below the limit of quantification ( nmol/mg/h; value is equal to 3 c standard deviation of the pcDNA activity in nmol/mg/h after vector subtraction across 128 samples assayed in ten method validation experiments). α-Gal A activity at 10 µM (fold over baseline) = α-Gal A activity in mutant-transfected cell lysate with 10 µM migalastat / α-Gal A activity in mutant-transfected cell lysate without migalastat. Statistically significant differences in α-Gal A activity without migalastat (n = 20) versus with 10 µM migalastat (n = 20) were determined using a one-tailed Mann–Whitney U nonparametric test: aPBMC data are only shown for male patients. bCriteria for the classic phenotype: male, PBMC α-Gal A activity <3% of normal, multiorgan disease. cα-Gal A mutant forms that show a statistically significant increase in α-Gal A activity after incubation with 10 μM migalastat. P < 0.001. dTwo male patients with the classic phenotype included in the FACETS trial had this variant. eThe PBMC α-Gal A value at baseline from one male patient (p.A156T) was implausible because it was higher than any baseline value from all other male patients in the study (in fact, the baseline value is within the typical range of baseline values from female patients in AT1001-011), and it was higher than any one of this male’s other visits. Therefore, this patient was excluded from this analysis and is not represented in this table. fThe PBMC α-Gal A value at baseline was missing for one male patient (p.D244N) treated with migalastat in stage 1 and stage 2. Therefore, this patient was excluded from this analysis and is not represented in this table. gVariant not reported as Fabry disease–associated.

Clinical data

Baseline characteristics

The classic phenotype subgroup includes 14 males with the classic phenotype (16–62 years old). The other patients subgroup includes 36 patients (4 males with nonclassic phenotype [33–58 years old], 32 females [27–68 years old]). Disease severity of patients in the classic phenotype subgroup was evident from baseline measurements of variables and medical history, indicating multisystem involvement (Table 2 and Fig. 1a–e). Mean (SD) baseline eGFRCKD-EPI values were 87.8 (33.6) and 95.3 (19.6) mL/min/1.73 m2, and mean (SD) baseline mGFRiohexol values were 78.6 (22.9) and 88.2 (22.0) mL/min/1.73 m2 in the classic phenotype and other patients subgroup, respectively.
Table 2

Baseline characteristics of male patients with the classic phenotype

Male patients with the classic phenotype
1234567891011121314
Variant (amino acid change)p.I253Tp.I253Tp.C174Rp.G144Vp.D322Ep.G325Rp.Y216Cp.G183Dp.L243Fp.D55V; p.Q57Lp.R301Qp.G373Sp.P259Rp.P259R
Baseline information
 Age (years)6261273560163435452556484545
 Weight (kg)745892.766.597.076490.57067100.677.6111.2101.862.7
 Time since Fabry diagnosis (years)4.60.32.613.42.40.46.223.99.12.60.60.59.98.9
 Previous use of ERTYesNoNoNoNoNoYesYesYesNoNoNoYesYes
 Blood pressure (SBP/DBP, mm Hg)120/80NA120/70110/63136/84130/70130/90125/62117/63137/96122/94119/66140/80110/70
 Urine protein (mg/24 hours)3311900158424091824240015016119823516023351909
 eGFRCKD-EPI (mL/min/1.73 m2)86.7853.7944.12104.941.36151.35119.22109.68102.2498.0855.7164.55105.3686.34
 LVMi (g/m2)176.18142.7877.36114.93140.7977.86102.06101.77105.0283.42137.47121.68115.86105.77
 Urine GL-3 (ng/mg creatinine)19754063.610902176.24163.62119.23418.9641.44196.6750.91002.4847.62548.65245.9
 Plasma lyso-Gb3 (nmol/L)NANANA119.781.7NA128NA10992.2NANA113.353.3
 GSRS-D111424.71.3112.713.346
 WBC α-Gal A activity (4 MU/h/mg)0.630.580.280.050.20.07BLQ0.040.19BLQ0.420.290.60.44
 Use of ACEI/ARB/RIYesNoYesNoNoNoNoYesYesNoYesYesNoNo
Medical history a
 AcroparesthesiaNoNoNoYesNoNoNoYesYesNoNoNoNoNo
 AngiokeratomaNoNoNoNoYesNoYesYesYesYesNoYesYesYes
 Cornea verticillataNoNoNoNoNoNoNoNoYesNoNoNoNoNo
 Cardiac eventbYesNoYesYesYesNoNoYesYesYesYesYesYesYes
 TIA/stroke eventYesNoNoNoYesNoNoNoNoNoNoNoNoYes
 Hearing lossYesNoNoYesYesNoNoYesYesNoNoNoNoYes
 HypertensionNoNoYesNoYesNoNoNoNoNoNoYesNoNo
 HypohidrosisNoNoNoYesNoYesYesYesNoYesNoNoNoNo
 GI symptomscNoNoYesYesYesYesYesNoNoYesYesYesNoYes

ACEI angiotensin-converting-enzyme inhibitor, ARB angiotensin II receptor blocker, BLQ below the limit of quantification, DBP diastolic blood pressure, eGFRCKD-EP estimated glomerular filtration rate using the Chronic Kidney Disease Epidemiology Collaboration equation, ERT enzyme replacement therapy, GI gastrointestinal, GSRS-D Gastrointestinal Symptom Rating Scale diarrhea domain, LVMi left ventricular mass index, NA not assessed, RI renin inhibitor, SBP systolic blood pressure, TIA transient ischemic attack, WBC white blood cell.

a“Yes” indicates reported and “No” indicates not reported. However, medical history may not have been completely reported; therefore, “No” does not necessarily indicate absence of the complication.

bCardiac events include left ventricular hypertrophy, heart failure, heart valve regurgitation, myocardial infarction, bradycardia, right bundle branch block, atrial fibrillation, and tachycardia.

cGI symptoms include diarrhea, nausea, vomiting, gastroesophageal reflux disease, and abdominal pain/distension.

Fig. 1

Measurements of disease severity and treatment effect in the classic phenotype and other patient subgroups. (a) Mean annualized rate of change in estimated glomerular filtration rate (eGFR) and measured glomerular filtration rate (mGFR) from baseline to month 24. (b) Mean change in LVMi from baseline to month 24. (c) Mean change in GSRS-D from baseline to month 24. (d) Mean change from baseline to month 12 in average number of GL-3 inclusions per peritubular capillary. Within each subgroup, patients are grouped according to treatment allocation (migalastat to migalastat or placebo to migalastat). (e) Mean change from baseline to month 24 in plasma lyso-Gb3. aGroup is comprised of patients who switched from placebo to migalastat at month 6. bData are mean (SD) number of GL-3 inclusions per peritubular capillary at month 6 (i.e., after 6 months of placebo treatment). The upper cutoff value for normal plasma lyso-Gb3 level is 2.4 nmol/L.[38] eGFR estimated glomerular filtration rate using the Chronic Kidney Disease Epidemiology Collaboration equation, GL-3 globotriaosylceramide, GSRS-D Gastrointestinal Symptoms Rating Scale diarrhea subscale, LVMi left ventricular mass index, lyso-Gb plasma globotriaosylsphingosine, mGFR glomerular filtration rate measured using iohexol clearance.

Baseline characteristics of male patients with the classic phenotype ACEI angiotensin-converting-enzyme inhibitor, ARB angiotensin II receptor blocker, BLQ below the limit of quantification, DBP diastolic blood pressure, eGFRCKD-EP estimated glomerular filtration rate using the Chronic Kidney Disease Epidemiology Collaboration equation, ERT enzyme replacement therapy, GI gastrointestinal, GSRS-D Gastrointestinal Symptom Rating Scale diarrhea domain, LVMi left ventricular mass index, NA not assessed, RI renin inhibitor, SBP systolic blood pressure, TIA transient ischemic attack, WBC white blood cell. a“Yes” indicates reported and “No” indicates not reported. However, medical history may not have been completely reported; therefore, “No” does not necessarily indicate absence of the complication. bCardiac events include left ventricular hypertrophy, heart failure, heart valve regurgitation, myocardial infarction, bradycardia, right bundle branch block, atrial fibrillation, and tachycardia. cGI symptoms include diarrhea, nausea, vomiting, gastroesophageal reflux disease, and abdominal pain/distension. Measurements of disease severity and treatment effect in the classic phenotype and other patient subgroups. (a) Mean annualized rate of change in estimated glomerular filtration rate (eGFR) and measured glomerular filtration rate (mGFR) from baseline to month 24. (b) Mean change in LVMi from baseline to month 24. (c) Mean change in GSRS-D from baseline to month 24. (d) Mean change from baseline to month 12 in average number of GL-3 inclusions per peritubular capillary. Within each subgroup, patients are grouped according to treatment allocation (migalastat to migalastat or placebo to migalastat). (e) Mean change from baseline to month 24 in plasma lyso-Gb3. aGroup is comprised of patients who switched from placebo to migalastat at month 6. bData are mean (SD) number of GL-3 inclusions per peritubular capillary at month 6 (i.e., after 6 months of placebo treatment). The upper cutoff value for normal plasma lyso-Gb3 level is 2.4 nmol/L.[38] eGFR estimated glomerular filtration rate using the Chronic Kidney Disease Epidemiology Collaboration equation, GL-3 globotriaosylceramide, GSRS-D Gastrointestinal Symptoms Rating Scale diarrhea subscale, LVMi left ventricular mass index, lyso-Gb plasma globotriaosylsphingosine, mGFR glomerular filtration rate measured using iohexol clearance. GLA variants in male patients with the classic phenotype were p.Ile253Thr (n = 2), p.Pro259Arg (n = 2), p.Gly183Asp, p.Leu243Phe, p.Cys174Arg, p.Asp55Val/Gln57Leu, p.Gly144Val, p.Arg301Gln, p.Gly373Ser, p.Asp322Glu, p.Gly325Arg, and p.Tyr216Cys (n = 1 each). Six (43%) male patients with the classic phenotype were taking angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, or renin inhibitors at baseline; the dosages of these medications had been stable for ≥4 weeks before the screening visit and did not change during the study.

Renal function

The mean (SD) annualized rate of change in eGFRCKD-EPI from baseline to month 24 was −0.3 (3.76) mL/min/1.73 m2 (95% CI: −2.80, 2.25; n = 11) in the classic phenotype subgroup and −0.3 (4.47) mL/min/1.73 m2 (95% CI: −2.0, 1.4; n = 30) in other patients (Fig. 1a; individual values for male patients with the classic phenotype in Table S1). Median annualized rates of change in the classic phenotype and other patients subgroups were 0.25 mL/min/1.73 m2 (min, max: −8.6, 4.3) and 0.33 mL/min/1.73 m2 (min, max: −13.8, 7.4), respectively. Mean (SD) annualized rate of change in mGFRiohexol was −3.0 (6.04) mL/min/1.73 m2 (95% CI: −7.65, 1.64; n = 9) in the classic phenotype subgroup and −1.0 (8.66) mL/min/1.73 m2 (95% CI: −4.39, 2.33; n = 28) in other patients. One male patient with the classic phenotype had a reduction of −16 mL/min/1.73 m2 from month 6 to month 24. Median (range) change in mGFRiohexol from baseline to month 24 was −1.03 mL/min/1.73 m2 (min, max: −16.2, 3.0) in the classic phenotype subgroup and −0.34 mL/min/1.73 m2 (min, max: −20.4, 15.8) in the other patients subgroup. Twenty-four-hour urine protein levels showed small increases from baseline to month 24 in both subgroups. Baseline mean (SD) 24-hour urinary protein excretion values were 767.7 (710.7) (95% CI: 357.4, 1178.0; n = 14) and 360.6 (508.7) (95% CI: 183.1, 538.1; n = 34) mg/24 hours in the classic phenotype and other patients subgroups, respectively. Mean (SD) changes from baseline to month 24 in 24-hour urine protein were 271.3 (419.6) (95% CI: −79.5, 622.0; n = 8) and 168.0 (494.4) (95% CI: −20.0, 356.1; n = 29) mg/24 hours in the classic phenotype and other patients subgroups, respectively. Results were similar to those reported for the overall amenable FACETS population, in which migalastat stabilized eGFR in patients with amenable GLA variants, with mean (SE) annualized changes from baseline to month 24 in eGFRCKD-EPI and mGFRiohexol of −0.3 (0.66) and −1.5 (1.33) mL/min/1.73 m2, respectively.[20]

Cardiac geometry

Migalastat led to reductions in LVMi in both subgroups. Of note, mean (SD) baseline LVMi values were 114.3 (27.3) g/m2 in male patients with the classic phenotype (n = 14) and 88.2 (32.3) g/m2 in other patients (n = 30). Seven (50%) males with the classic phenotype and 4 (11%) in the other patients subgroup had left ventricular hypertrophy (LVH; >115 g/m2 for males; >95 g/m2 for females) at baseline. Mean (SD) change from baseline to month 24 in LVMi was −16.7 (18.64) g/m2 (95% CI: −31.1, −2.4; n = 9) in males with the classic phenotype and −3.2 (18.66) g/m2 (95% CI: −12.5, 6.1; n = 18) in other patients (Fig. 1b; individual values for male patients with the classic phenotype in Table S1). By contrast, LVMi change in the overall migalastat-treated amenable population in FACETS was −7.7 g/m2 (95% CI: −15.4, −0.01; n = 27) after 18–24 months of treatment with migalastat, with larger decreases in the subgroup of patients with LVH (−18.6 g/m2 [95% CI: −38.2, 1.0]; –11.5%; n = 8) (ref. [20]).

Gastrointestinal signs and symptoms

Mean (SD) GSRS-D scores at baseline were 2.4 (1.69; n = 14) in the classic phenotype subgroup and 2.1 (1.49; n = 36) in the other patients subgroup. Eight (57%) male patients with the classic phenotype had diarrhea symptoms at baseline (GSRS-D score ≥1). In the classic phenotype subgroup, 6 months of treatment (stage 1) with migalastat improved (reduced) scores in GSRS-D (mean [SD] change from baseline −0.3 [0.77]; 95% CI: –1.0, 0.4; n = 7), whereas patients treated with placebo had a small increase (0.2 [0.46]; 95% CI: –0.2, 0.7; n = 7). Male patients with the classic phenotype benefited from continuing treatment with migalastat or by switching from placebo to migalastat. By 24 months, the mean (SD) change from baseline in diarrhea symptoms was −0.9 (1.66; n = 10) (Fig. 1c; individual values in Table S1). Seven of the 8 (88%) males with the classic phenotype that had diarrhea symptoms at baseline achieved an MCID reduction of 0.33 in GSRS-D. The corresponding change in other patients was −0.5 (1.01; n = 31) at month 24. These results are similar to those of the overall amenable FACETS population, in which patients with amenable GLA variants treated with migalastat had mean changes in GSRS-D of −0.3 (versus 0.2 in the placebo group) at month 6 and −0.5 (95% CI: –0.9, –0.1) at month 24 (ref. [20]).

PTC GL-3 inclusions

During the first 6 months of the study, the mean (SD) number of GL-3 inclusions per PTC decreased from baseline in males with the classic phenotype treated with migalastat (−0.8 [−0.78]; 95% CI: –1.8, 0.1; n = 5) (Fig. 1d; individual values in Table S1). Conversely, PTC GL-3 inclusions increased (mean [SD], 0.3 [0.94]; 95% CI: –0.6, 1.2; n = 7) during that period in those receiving placebo. Upon switching from placebo to migalastat at month 6, PTC GL-3 inclusions decreased by a mean (SD) of −0.7 (0.91) (95% CI: –1.7, 0.2; n = 6) over the next 6 months in these patients. These results mirror those reported for the overall amenable FACETS population, in which PTC GL-3 inclusions decreased over 6 months of migalastat treatment (mean [SE], −0.25 [0.10]; n = 25) and increased (mean [SE], 0.07 [0.13]; n = 20) over 6 months of placebo treatment.[20] In the overall amenable FACETS population, a subsequent mean (SE) decrease in mean GL-3 inclusions per PTC of −0.33 (0.15; n = 17) was seen following switch from placebo to migalastat at month 6. Decreases in mean (SD) number of PTC GL-3 inclusions were seen in other patients whether treated with migalastat from month 0 to 6 (−0.1 [0.30]; 95% CI: –0.2, 0.0; n = 20) or switched from placebo to migalastat at month 6 (change from month 6 to 12; −0.1 [0.24]; 95% CI: –0.3, 0.1; n = 11) (Fig. 1d). A small decrease was also noted in other patients treated with placebo from month 0 to 6 (−0.05 [0.10]; 95% CI: –0.1, 0.0; n = 13). Overall, the decreases in the other patients subgroup were small, likely due to low baseline levels; however, the magnitude of change with migalastat was twice that of placebo.

GL-3 in glomerular cells

On the basis of qualitative assessments of kidney biopsy samples, patients in the classic phenotype subgroup had either a reduction or no change in GL-3 inclusions in glomerular endothelial cells (3/9 decreased, 6/9 had no change), mesangial cells (3/9 decreased, 6/9 had no change), and podocytes (9/9 had no change) at month 12 compared with baseline or month 6 (for patients switched from placebo to migalastat). No patient showed increase in GL-3 in these cell types after 6–12 months of migalastat treatment (Table S2). A substantial portion of patients in the other patients subgroup had a reduction in GL-3 in glomerular cells, including mesangial cells (14/31), endothelial cells (8/31), and podocytes (6/31) at month 12. One patient had an increase in GL-3 in mesangial cells. The remaining patients experienced no change in GL-3 inclusions in these cells after 6–12 months of migalastat treatment.

Plasma lyso-Gb3

Migalastat was associated with a reduction in plasma lyso-Gb3 in both subgroups, with a considerable reduction observed in the classic phenotype subgroup. The average (SD) change from baseline to month 24 in plasma lyso-Gb3 was −36.8 (35.78) nmol/L (95% CI: −69.9, −3.7; n = 7) for males with the classic phenotype and −7.66 (20.27) nmol/L (95% CI: −16.6, 1.3; n = 22) for other patients (Fig. 1e; individual values in Table S1). Notably, mean (SD) baseline lyso-Gb3 levels were 99.8 (35.28; n = 7) nmol/L in the classic phenotype subgroup versus 29.3 (48.32; n = 24) nmol/L in the other patients subgroup.

PBMC α-Gal A activity

Within the classic phenotype subgroup, 6 months of randomized treatment with migalastat led to a mean (SD) increase in PBMC α-Gal A activity of 2.2 (3.0) 4 MU/h/mg (95% CI: −0.5, 5.0; n = 7), whereas treatment with placebo led to a substantially smaller increase (0.1 [0.1] 4 MU/h/mg; 95% CI: 0.0, 0.2; n = 7). Increase in PBMC α-Gal A activity was sustained during open-label migalastat; mean (SD) change from baseline to month 24 was 2.6 (2.3) 4 MU/h/mg (95% CI: 0.8, 4.4; n = 9). Changes in PBMC α-Gal A activity appeared to be more variable in the other patients subgroup due to the small number of male patients; mean (SD) change from baseline to month 24 was 2.7 (9.8) 4 MU/h/mg (95% CI:–21.7, 27.1; n = 3).

Adverse events

The most frequently reported adverse event that occurred during migalastat treatment was headache in both the classic phenotype (4/14 [29%]) and other patients (15/36 [42%]) subgroups. The other patients subgroup did not report any other adverse events that occurred in ≥20% of patients, whereas diarrhea, procedure pain, and vertigo were reported in ≥20% of patients in the classic phenotype subgroup (Table S3).

DISCUSSION

Fabry disease is associated with a wide spectrum of disease progression and clinical phenotypes, ranging from the most severe, classic phenotype to an asymptomatic phenotype in a subset of female patients.[1] Newborn screening studies estimate the frequency of the classic phenotype as up to 1 in 22,570 males.[27] Patients with the classic phenotype typically have onset of symptoms during childhood or adolescence, followed by multiorgan complications that can progress to organ failure.[1] Therefore, early treatment initiation is crucial in this patient population. Current treatment guidelines and consensus recommendations recommend ERT treatment for all males ≥16 years old with classic Fabry disease, even if they are asymptomatic, presenting a high treatment burden.[28] In a previously published report from the phase 3 FACETS study, patients with Fabry disease who have amenable variants were shown to benefit from treatment with migalastat.[20] The results presented here provide additional evidence for the beneficial effects of migalastat in male patients with the classic phenotype—the most severe form of Fabry disease. In vitro assay data suggest that all patients with Fabry disease and amenable variants, including those with the classic phenotype, would benefit from migalastat treatment, as migalastat increases α-Gal A activity in the lysates of cells expressing mutated enzyme.[4] This hypothesis is supported by our data, which demonstrate reduction in cardiac mass, improvements in GSRS-D, stabilization of eGFRCKD-EPI, reduction in PTC GL-3 inclusions, plasma lyso-Gb3, and PBMC α-Gal A activity in male patients with the classic phenotype treated with migalastat for up to 24 months. Compared with published data for male patients with Fabry disease, the results of this analysis suggest that patients treated with migalastat had better renal[29-32] and cardiac[33,34] outcomes than that historically reported for untreated patients. Historical studies of untreated males report an annualized change in eGFR of up to −12.2 mL/min/1.73 m2.[29-32] Comparatively, the annualized change in eGFRCKD-EPI was −0.3 mL/min/1.73 m2 in the subgroup of patients with the classic phenotype treated with migalastat in FACETS (Fig. 2a). For LVMi, studies of untreated males report annualized increases ranging from 4.1 to 8.0 g/m2 (refs. [33,34]), compared with an annualized change of −10.4 g/m2 with migalastat in males with the classic phenotype (Fig. 2b). Furthermore, migalastat appears to provide potential cardiac benefit compared with ERT (Fig. 2) (refs.[12,19,34-36]). This is further supported by the greater efficacy of migalastat versus ERT in reducing cardiac mass at month 18 in a phase 3, open-label, randomized clinical trial (ATTRACT; NCT01218659) (ref. [19]). The benefit of migalastat on cardiac structure may reflect the broad tissue distribution of migalastat as an orally administered small molecule, including penetration into cardiac tissue.[19,23] However, the mechanism by which migalastat reduces LVMi is unknown. Clearance of GL-3 deposits from cardiomyocytes and vascular endothelial cells may have contributed to the mass reduction; GL-3 clearance from the latter could also lead to enhanced regional myocardial perfusion and function, influencing the dynamic of left ventricular remodeling. Additionally, it appeared that reduction in LVMi was due to a reduction in both wall thickness and cavity size (Amicus Therapeutic data on file). Further investigations are needed to obtain more definitive understanding of the pathophysiology of cardiomyopathy in Fabry disease and the effects of migalastat on cardiac tissues.
Fig. 2

Comparisons of published data for male patients with Fabry disease.

Annualized changes in (a) renal function and (b) LVMi as reported in the literature for male patients who are either untreated or have been treated with migalastat or ERT. aChange from baseline calculated using the weighted average for end-stage renal disease subgroups (n = 128 males with non-end-stage renal disease and n = 17 males with end-stage renal disease). eGFR estimated glomerular filtration rate, ERT enzyme replacement therapy, LVMi left ventricular mass index.

Comparisons of published data for male patients with Fabry disease.

Annualized changes in (a) renal function and (b) LVMi as reported in the literature for male patients who are either untreated or have been treated with migalastat or ERT. aChange from baseline calculated using the weighted average for end-stage renal disease subgroups (n = 128 males with non-end-stage renal disease and n = 17 males with end-stage renal disease). eGFR estimated glomerular filtration rate, ERT enzyme replacement therapy, LVMi left ventricular mass index. Elevated plasma lyso-Gb3 levels have become recognized as a diagnostic indicator for Fabry disease, especially for classic Fabry patients.[37] Consistent with previous reports,[37,38] baseline plasma lyso-Gb3 levels were highly elevated in male patients with the classic phenotype in FACETS. Migalastat was associated with substantial reduction in lyso-Gb3 in this patient subgroup. Despite the reduction, plasma lyso-Gb3 levels remained elevated above the normal ranges after 24 months of treatment.[38] It has been reported that lyso-Gb3 levels decreased but did not normalize despite years of ERT in male patients with the classic phenotype.[37] In our study, the classic phenotype was defined as males with multiorgan system involvement and residual PBMC α-Gal A activity <3% of normal (Table 1). Of note, one of the GLA variants associated with the classic phenotype, p.Arg301Gln (p.R301Q), was originally identified in a Japanese male and characterized as a cardiac variant, a milder atypical variant with late-onset cardiac manifestations limited to the heart.[39] Since then, at least one case of a more severe phenotype has been associated with this variant, including a 45-year-old male patient who had end-stage renal disease in addition to cardiomyopathy; this patient benefited from double heart and kidney transplant.[40] The patient with the p.Arg301Gln variant in our study had multiorgan disease (stage 3 chronic kidney disease [eGFR 56 mL/min/1.73 m2], abnormal LVMi [137 g/m2]) and PBMC α-Gal A activity 1.9% of WT, thus fulfilling the criteria for inclusion in the classic phenotype subgroup. Our study includes a descriptive analysis of the baseline disease characteristics and clinical outcomes of two patient subgroups in FACETS; the other patients subgroup consists predominantly, though not exclusively, of females. One potential limitation of our study is that outcomes based on indirect comparisons across studies should be interpreted with caution because of potentially confounding factors, such as variations in study design, inclusion/exclusion criteria, baseline demographics, and disease severity. In addition, the results reported for males with the classic phenotype from the FACETS study are derived from post hoc analyses in a relatively small group of patients observed for up to 24 months, a relatively short study duration for long-term data, given the progressive nature of Fabry disease. Lastly, GSRS-D has not been validated specifically in Fabry disease, although it has demonstrated reliability, stability, and construct validity across a range of GI disorders. No GI symptom rating scale has been validated in Fabry disease. Despite these limitations, our data show beneficial effects in male patients with the classic phenotype, and provide support for the use of migalastat in all patients with amenable GLA variants regardless of disease severity. In conclusion, migalastat, a first-in-class oral pharmacologic chaperone, has previously demonstrated clinical benefits in patients with Fabry disease and amenable GLA variants.[20] The data reported here establish that migalastat benefited male patients with the classic phenotype. During the phase 3 FACETS trial, migalastat treatment increased endogenous α-Gal A activity, stabilized eGFR, reduced LVMi, improved diarrhea symptoms, and reduced PTC GL-3 inclusions and plasma lyso-Gb3 in male patients with migalastat-amenable GLA variants leading to the classic phenotype of Fabry disease. Supplementary Table S1 Supplementary Table S2 Supplementary Table S3
  35 in total

1.  Natural history of Fabry renal disease: influence of alpha-galactosidase A activity and genetic mutations on clinical course.

Authors:  Mary H Branton; Raphael Schiffmann; Sharda G Sabnis; Gary J Murray; Jane M Quirk; Gheona Altarescu; Lev Goldfarb; Roscoe O Brady; James E Balow; Howard A Austin Iii; Jeffrey B Kopp
Journal:  Medicine (Baltimore)       Date:  2002-03       Impact factor: 1.889

2.  Enzyme replacement therapy and renal function in 201 patients with Fabry disease.

Authors:  A Schwarting; F Dehout; S Feriozzi; M Beck; A Mehta; G Sunder-Plassmann
Journal:  Clin Nephrol       Date:  2006-08       Impact factor: 0.975

3.  Serum-Mediated Inhibition of Enzyme Replacement Therapy in Fabry Disease.

Authors:  Malte Lenders; Jörg Stypmann; Thomas Duning; Boris Schmitz; Stefan-Martin Brand; Eva Brand
Journal:  J Am Soc Nephrol       Date:  2015-04-30       Impact factor: 10.121

4.  Onset and progression of the Anderson-Fabry disease related cardiomyopathy.

Authors:  Christoph Kampmann; Ales Linhart; Frank Baehner; Tomas Palecek; Christiane M Wiethoff; Elke Miebach; Catharina Whybra; Andreas Gal; Jan Bultas; Michael Beck
Journal:  Int J Cardiol       Date:  2008-06-24       Impact factor: 4.164

5.  Plasma lyso-Gb3: a biomarker for monitoring fabry patients during enzyme replacement therapy.

Authors:  Hitoshi Sakuraba; Tadayasu Togawa; Takahiro Tsukimura; Hiroshi Kato
Journal:  Clin Exp Nephrol       Date:  2017-12-29       Impact factor: 2.801

Review 6.  Fabry disease: a review of current management strategies.

Authors:  A Mehta; M Beck; F Eyskens; C Feliciani; I Kantola; U Ramaswami; A Rolfs; A Rivera; S Waldek; D P Germain
Journal:  QJM       Date:  2010-07-21

7.  Treatment of Fabry's Disease with the Pharmacologic Chaperone Migalastat.

Authors:  Dominique P Germain; Derralynn A Hughes; Kathleen Nicholls; Daniel G Bichet; Roberto Giugliani; William R Wilcox; Claudio Feliciani; Suma P Shankar; Fatih Ezgu; Hernan Amartino; Drago Bratkovic; Ulla Feldt-Rasmussen; Khan Nedd; Usama Sharaf El Din; Charles M Lourenco; Maryam Banikazemi; Joel Charrow; Majed Dasouki; David Finegold; Pilar Giraldo; Ozlem Goker-Alpan; Nicola Longo; C Ronald Scott; Roser Torra; Ahmad Tuffaha; Ana Jovanovic; Stephen Waldek; Seymour Packman; Elizabeth Ludington; Christopher Viereck; John Kirk; Julie Yu; Elfrida R Benjamin; Franklin Johnson; David J Lockhart; Nina Skuban; Jeff Castelli; Jay Barth; Carrolee Barlow; Raphael Schiffmann
Journal:  N Engl J Med       Date:  2016-08-11       Impact factor: 91.245

8.  Oral pharmacological chaperone migalastat compared with enzyme replacement therapy in Fabry disease: 18-month results from the randomised phase III ATTRACT study.

Authors:  Derralynn A Hughes; Kathleen Nicholls; Suma P Shankar; Gere Sunder-Plassmann; David Koeller; Khan Nedd; Gerard Vockley; Takashi Hamazaki; Robin Lachmann; Toya Ohashi; Iacopo Olivotto; Norio Sakai; Patrick Deegan; David Dimmock; François Eyskens; Dominique P Germain; Ozlem Goker-Alpan; Eric Hachulla; Ana Jovanovic; Charles M Lourenco; Ichiei Narita; Mark Thomas; William R Wilcox; Daniel G Bichet; Raphael Schiffmann; Elizabeth Ludington; Christopher Viereck; John Kirk; Julie Yu; Franklin Johnson; Pol Boudes; Elfrida R Benjamin; David J Lockhart; Carrolee Barlow; Nina Skuban; Jeffrey P Castelli; Jay Barth; Ulla Feldt-Rasmussen
Journal:  J Med Genet       Date:  2016-11-10       Impact factor: 6.318

9.  The validation of pharmacogenetics for the identification of Fabry patients to be treated with migalastat.

Authors:  Elfrida R Benjamin; Maria Cecilia Della Valle; Xiaoyang Wu; Evan Katz; Farhana Pruthi; Sarah Bond; Benjamin Bronfin; Hadis Williams; Julie Yu; Daniel G Bichet; Dominique P Germain; Roberto Giugliani; Derralynn Hughes; Raphael Schiffmann; William R Wilcox; Robert J Desnick; John Kirk; Jay Barth; Carrolee Barlow; Kenneth J Valenzano; Jeff Castelli; David J Lockhart
Journal:  Genet Med       Date:  2016-09-22       Impact factor: 8.822

10.  Analysis of left ventricular mass in untreated men and in men treated with agalsidase-β: data from the Fabry Registry.

Authors:  Dominique P Germain; Frank Weidemann; Ademola Abiose; Manesh R Patel; Marta Cizmarik; J Alexander Cole; Dana Beitner-Johnson; Karelle Benistan; Gustavo Cabrera; Joel Charrow; Ilkka Kantola; Ales Linhart; Kathy Nicholls; Markus Niemann; C Ronald Scott; Katherine Sims; Stephen Waldek; David G Warnock; Jörg Strotmann
Journal:  Genet Med       Date:  2013-05-23       Impact factor: 8.822

View more
  20 in total

1.  Clinical Genetic Screening in Adult Patients with Kidney Disease.

Authors:  Enrico Cocchi; Jordan Gabriela Nestor; Ali G Gharavi
Journal:  Clin J Am Soc Nephrol       Date:  2020-07-09       Impact factor: 8.237

Review 2.  Contemporary therapeutics and new drug developments for treatment of Fabry disease: a narrative review.

Authors:  Daniel Oder; Jonas Müntze; Peter Nordbeck
Journal:  Cardiovasc Diagn Ther       Date:  2021-04

Review 3.  Fabry disease-what cardiologists can learn from the nephrologist: a narrative review.

Authors:  Christine E Kurschat
Journal:  Cardiovasc Diagn Ther       Date:  2021-04

4.  Drug Repositioning for Fabry Disease: Acetylsalicylic Acid Potentiates the Stabilization of Lysosomal Alpha-Galactosidase by Pharmacological Chaperones.

Authors:  Maria Monticelli; Ludovica Liguori; Mariateresa Allocca; Andrea Bosso; Giuseppina Andreotti; Jan Lukas; Maria Chiara Monti; Elva Morretta; Maria Vittoria Cubellis; Bruno Hay Mele
Journal:  Int J Mol Sci       Date:  2022-05-04       Impact factor: 6.208

Review 5.  Therapeutic Strategies For Tay-Sachs Disease.

Authors:  Jaqueline A Picache; Wei Zheng; Catherine Z Chen
Journal:  Front Pharmacol       Date:  2022-07-05       Impact factor: 5.988

Review 6.  New drugs for the treatment of Anderson-Fabry disease.

Authors:  Sandro Feriozzi; Derralynn A Hughes
Journal:  J Nephrol       Date:  2020-03-20       Impact factor: 3.902

Review 7.  Rare genetic causes of complex kidney and urological diseases.

Authors:  Emily E Groopman; Gundula Povysil; David B Goldstein; Ali G Gharavi
Journal:  Nat Rev Nephrol       Date:  2020-08-17       Impact factor: 28.314

8.  From genotype to phenotype: Early prediction of disease severity in argininosuccinic aciduria.

Authors:  Matthias Zielonka; Sven F Garbade; Florian Gleich; Jürgen G Okun; Sandesh C S Nagamani; Andrea L Gropman; Georg F Hoffmann; Stefan Kölker; Roland Posset
Journal:  Hum Mutat       Date:  2020-01-30       Impact factor: 4.878

9.  Brazilian consensus recommendations for the diagnosis, screening, and treatment of individuals with fabry disease: Committee for Rare Diseases - Brazilian Society of Nephrology/2021.

Authors:  Cassiano Augusto Braga Silva; Luis Gustavo Modelli de Andrade; Maria Helena Vaisbich; Fellype de Carvalho Barreto
Journal:  J Bras Nefrol       Date:  2022 Apr-Jun

10.  Early prediction of phenotypic severity in Citrullinemia Type 1.

Authors:  Matthias Zielonka; Stefan Kölker; Florian Gleich; Nicolas Stützenberger; Sandesh C S Nagamani; Andrea L Gropman; Georg F Hoffmann; Sven F Garbade; Roland Posset
Journal:  Ann Clin Transl Neurol       Date:  2019-08-30       Impact factor: 4.511

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.