Diagnosis and Screening of Patients with Fabry Disease.
Irfan VardarliChristoph RischplerKen HerrmannFrank WeidemannPublished in: Therapeutics and clinical risk management (2020)
Fabry disease (FD) is an X-linked lysosomal storage disorder caused by absence or deficient activity of α-galactosidase A (α-Gal A) due to mutations in the α-galactosidase A gene (GLA), leading to progressive accumulation of globotriaosylceramide (Gb3) in tissues and organs including heart, kidney, the eyes, vascular endothelium, the nervous system and the skin. Cardiac involvement is leading to fatal complications and reduced life expectancy. FD is treatable with disease-specific treatment (enzyme replacement therapy (ERT) or with chaperone therapy). Therefore, the early diagnosis of FD is crucial for reducing the morbidity and mortality. Screening of high-risk populations (eg, patients with unexplained left ventricular hypertrophy (LVH), young patients with unexplained stroke, and patients with unexplained renal failure proteinuria or microalbuminuria) yields good results. The diagnostic algorithm is gender-specific. Initially, the measurement of α-Gal A activity is recommended in males, and optionally in females. In males with non-diagnostic residual activity (5-10%) activity, genetic testing is afterwards done for confirming the diagnosis. In fact, diagnosis of FD is not possible without genetic testing for both males and females. Globotriaosysphingosine (lyso-Gb3) for identification of atypical FD variants and high- sensitive troponin T (hsTNT) for identification of cardiac involvement are also important diagnostic biomarkers. The aim of this review was to provide an update on diagnosis and screening of patients with FD.
Keyphrases
- replacement therapy
- left ventricular
- smoking cessation
- heart failure
- nitric oxide
- atrial fibrillation
- hypertrophic cardiomyopathy
- copy number
- genome wide
- stem cells
- machine learning
- gene expression
- acute myocardial infarction
- mental health
- dna methylation
- optical coherence tomography
- bone marrow
- subarachnoid hemorrhage
- percutaneous coronary intervention
- endoplasmic reticulum
- bioinformatics analysis