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Insights into the Value of Lyso-Gb1 as a Predictive Biomarker in Treatment-Naïve Patients with Gaucher Disease Type 1 in the LYSO-PROOF Study.

Authors :
Curado F
Rösner S
Zielke S
Westphal G
Grittner U
Skrahina V
Alasel M
Malik AM
Beetz C
Böttcher T
Barel G
Sah AP
Dinur T
Anjum N
Ichraf Q
Kriouile Y
Hadipour Z
Hadipour F
Revel-Vilk S
Cozma C
Hartkamp J
Cheema H
Zimran A
Bauer P
Rolfs A
Source :
Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Aug 30; Vol. 13 (17). Date of Electronic Publication: 2023 Aug 30.
Publication Year :
2023

Abstract

Gaucher disease (GD) is a rare autosomal recessive disorder arising from bi-allelic variants in the GBA1 gene, encoding glucocerebrosidase. Deficiency of this enzyme leads to progressive accumulation of the sphingolipid glucosylsphingosine (lyso-Gb1). The international, multicenter, observational "Lyso-Gb1 as a Long-term Prognostic Biomarker in Gaucher Disease"-LYSO-PROOF study succeeded in enrolling a cohort of 160 treatment-naïve GD patients from diverse geographic regions and evaluated the potential of lyso-Gb1 as a specific biomarker for GD. Using genotypes based on established classifications for clinical presentation, patients were stratified into type 1 GD ( n = 114) and further subdivided into mild ( n = 66) and severe type 1 GD ( n = 48). Due to having previously unreported genotypes, 46 patients could not be classified. Though lyso-Gb1 values at enrollment were widely distributed, they displayed a moderate and statistically highly significant correlation with disease severity measured by the GD-DS3 scoring system in all GD patients (r = 0.602, p < 0.0001). These findings support the utility of lyso-Gb1 as a sensitive biomarker for GD and indicate that it could help to predict the clinical course of patients with undescribed genotypes to improve personalized care in the future.

Details

Language :
English
ISSN :
2075-4418
Volume :
13
Issue :
17
Database :
MEDLINE
Journal :
Diagnostics (Basel, Switzerland)
Publication Type :
Academic Journal
Accession number :
37685353
Full Text :
https://doi.org/10.3390/diagnostics13172812