LC-MS lipidomics of renal biopsies for the diagnosis of Fabry disease.
Autor: | Yazd HS; Department of Chemistry, University of Florida, Gainesville, FL 32610, USA., Bazargani SF; Department of Chemistry, University of Florida, Gainesville, FL 32610, USA., Vanbeek CA; AmeriPath, Renal Pathology, Oklahoma City, OK 73114, USA., King-Morris K; Department of Medicine, University of Central Florida, Orlando, FL 32827, USA., Heldermon C; Department of Neurology, University of Florida, Gainesville, FL 32610, USA., Segal MS; Department of Medicine, Division of Nephrology, Hypertension & Renal Transplantation, University of Florida, Gainesville, FL 32610, USA., Clapp WL; Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL 32610, USA., Garrett TJ; Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL 32610, USA. |
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Jazyk: | angličtina |
Zdroj: | Journal of mass spectrometry and advances in the clinical lab [J Mass Spectrom Adv Clin Lab] 2021 Nov 26; Vol. 22, pp. 71-78. Date of Electronic Publication: 2021 Nov 26 (Print Publication: 2021). |
DOI: | 10.1016/j.jmsacl.2021.11.004 |
Abstrakt: | Introduction: Lipidomics analysis or lipid profiling is a system-based analysis of all lipids in a sample to provide a comprehensive understanding of lipids within a biological system. In the last few years, lipidomics has made it possible to better understand the metabolic processes associated with several rare disorders and proved to be a powerful tool for their clinical investigation. Fabry disease is a rare X-linked lysosomal storage disorder (LSD) caused by a deficiency in α-galactosidase A (α-GAL A). This deficiency results in the progressive accumulation of glycosphingolipids, mostly globotriaosylceramide (Gb Objectives: The primary objective of this study was to evaluate lipidomic signatures in renal biopsies to help understand variations in Fabry disease markers that could be used in future diagnostic tests. Methods: Lipidomic analysis was performed by ultra-high pressure liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS) on kidney biopsies that were left over after clinical pathology analysis to diagnose Fabry disease. Results: We employed UHPLC-HRMS lipidomics analysis on the renal biopsy of a patient suspicious for Fabry disease. Our result confirmed α-GAL A enzyme activity declined in this patient since a Ga2-related lipid biomarker was substantially higher in the patient's renal tissue biopsy compared with two controls. This suggests this patient has a type of LSD that could be non-classical Fabry disease. Conclusion: This study shows that lipidomics analysis is a valuable tool for rare disorder diagnosis, which can be conducted on leftover tissue samples without disrupting normal patient care. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2021 THE AUTHORS. Publishing services by ELSEVIER B.V. on behalf of MSACL.) |
Databáze: | MEDLINE |
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