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Fabry disease is a lysosomal storage disorder caused by the absence or reduction of α-galactosidase A enzyme activity. The enzymatic deficiency results in the impaired catabolism of neutral sphingolipids with terminal α-galactosyl residues and subsequent accumulation in several tissues. Biomarkers reflecting disease severity and progression, the response to therapeutic intervention, and details of molecular pathogenesis are needed. Until now, two sphingolipids were targeted as biomarkers in urine and plasma of Fabry patients: globotriaosylceramide (Gb(3)) and globotriaosylsphingosine (lyso-Gb(3)). Using metabolomic approaches, our group recently discovered seven novel urinary lyso-Gb(3)-related Fabry disease biomarkers with mass-to-charge ratios (m/z) of 758, 774, 784, 800, 802, 820, and 836. All these biomarkers exhibited modifications of the lyso-Gb(3) sphingosine moiety. The aims of the present study were to devise and validate a specific tandem mass spectrometry multiplex methodology for the relative quantification of these seven analogues and to evaluate their urinary excretion levels in samples from 164 Fabry patients and 94 healthy controls. We found no detectable analogues in healthy controls, except for trace amounts of the analogue with m/z 836. Significant correlations were established between lyso-Gb(3) analogue levels in urine and gender (p < 0.001). Fabry males had higher excretion levels compared to females with the disease. Lyso-Gb(3) analogue levels correlated well with enzyme replacement therapy (ERT) status in males (p < 0.05). The urinary analogue distributions varied among Fabry patients. However, the analogues with m/z 802, 820, and 836 were generally more abundant in the majority of patients. Lyso-Gb(3) analogues are promising urinary biomarkers for Fabry disease.
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http://dx.doi.org/10.1021/ac303033v | DOI Listing |
Acta Cardiol
September 2025
Department of Cardiovascular Diseases, University Hospital Centre Zagreb, Zagreb, Croatia.
Orphanet J Rare Dis
September 2025
Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum - University of Bologna, Bologna, Italy.
Rationale & Objective: Late-onset Anderson-Fabry disease appears in adulthood, usually with prevalent cardiac involvement. The N215S (p.Asn215Ser) missense mutation represents the most frequent late-onset variant in European countries.
View Article and Find Full Text PDFJ Med Genet
September 2025
Inherited Renal Disorders, Nephrology Department, Fundació Puigvert, IR Sant Pau, RICORS2040, Universitat Autònoma de Barcelona, Barcelona, Spain.
Background: Fabry disease is a progressive, X-linked lysosomal disorder caused by reduced or absent α-galactosidase A activity due to variants. Females with Fabry disease often experience diagnostic delays and an underappreciated disease burden owing to their variable disease presentation and progression.
Methods: We conducted a analysis of all females from the clinical studies FACETS (NCT00925301) and ATTRACT (NCT01218659) and their open-label extensions, assessing baseline characteristics and long-term efficacy of migalastat regarding cardiac and renal function and Fabry-associated clinical events (FACEs).
Malays J Pathol
August 2025
Inborn Errors of Metabolism & Genetics Unit, NMCRC, Institute for Medical Research, National Institutes of Health (NIH), Ministry of Health Malaysia, Selangor, Malaysia.
Lysosomal storage disorders (LSD) are storage disorders involving the malfunction of degradation enzymes in the lysosome. This study aimed to calculate the birth prevalence and carrier frequency of LSDs in the Malaysian population, to compare our results with previously reported epidemiologic data from other populations, and to describe the mutation spectrum in Malaysia. Between 2008 and 2017, 2.
View Article and Find Full Text PDFJMIR AI
August 2025
Department of Nephrology and Hypertension, Hannover Medical School, Carl-Neuberg-Strasse 1, Hannover, 30625, Germany, 49 511 532 3745.
Background: Rare diseases, which affect millions of people worldwide, pose a major challenge, as it often takes years before an accurate diagnosis can be made. This delay results in substantial burdens for patients and health care systems, as misdiagnoses lead to inadequate treatment and increased costs. Artificial intelligence (AI)-powered symptom checkers (SCs) present an opportunity to flag rare diseases earlier in the diagnostic work-up.
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