LC-MS lipidomics of renal biopsies for the diagnosis of Fabry disease

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...

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Autores principales: Hoda Safari Yazd, Sina Feizbakhsh Bazargani, Christine A. Vanbeek, Kelli King-Morris, Coy Heldermon, Mark S. Segal, William L. Clapp, Timothy J. Garrett
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Publicado: Elsevier 2021
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spelling oai:doaj.org-article:6e5927196f88404cad4ad39b4585a3112021-12-04T04:36:42ZLC-MS lipidomics of renal biopsies for the diagnosis of Fabry disease2667-145X10.1016/j.jmsacl.2021.11.004https://doaj.org/article/6e5927196f88404cad4ad39b4585a3112021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2667145X21000298https://doaj.org/toc/2667-145XIntroduction: 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 (Gb3), globotriaosylsphingosine (lyso-Gb3), as well as galabiosylceramide (Ga2) and their isoforms/analogs in the vascular endothelium, nerves, cardiomyocytes, renal glomerular podocytes, and biological fluids. 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.Hoda Safari YazdSina Feizbakhsh BazarganiChristine A. VanbeekKelli King-MorrisCoy HeldermonMark S. SegalWilliam L. ClappTimothy J. GarrettElsevierarticleMedical technologyR855-855.5ENJournal of Mass Spectrometry and Advances in the Clinical Lab, Vol 22, Iss , Pp 71-78 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medical technology
R855-855.5
spellingShingle Medical technology
R855-855.5
Hoda Safari Yazd
Sina Feizbakhsh Bazargani
Christine A. Vanbeek
Kelli King-Morris
Coy Heldermon
Mark S. Segal
William L. Clapp
Timothy J. Garrett
LC-MS lipidomics of renal biopsies for the diagnosis of Fabry disease
description 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 (Gb3), globotriaosylsphingosine (lyso-Gb3), as well as galabiosylceramide (Ga2) and their isoforms/analogs in the vascular endothelium, nerves, cardiomyocytes, renal glomerular podocytes, and biological fluids. 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.
format article
author Hoda Safari Yazd
Sina Feizbakhsh Bazargani
Christine A. Vanbeek
Kelli King-Morris
Coy Heldermon
Mark S. Segal
William L. Clapp
Timothy J. Garrett
author_facet Hoda Safari Yazd
Sina Feizbakhsh Bazargani
Christine A. Vanbeek
Kelli King-Morris
Coy Heldermon
Mark S. Segal
William L. Clapp
Timothy J. Garrett
author_sort Hoda Safari Yazd
title LC-MS lipidomics of renal biopsies for the diagnosis of Fabry disease
title_short LC-MS lipidomics of renal biopsies for the diagnosis of Fabry disease
title_full LC-MS lipidomics of renal biopsies for the diagnosis of Fabry disease
title_fullStr LC-MS lipidomics of renal biopsies for the diagnosis of Fabry disease
title_full_unstemmed LC-MS lipidomics of renal biopsies for the diagnosis of Fabry disease
title_sort lc-ms lipidomics of renal biopsies for the diagnosis of fabry disease
publisher Elsevier
publishDate 2021
url https://doaj.org/article/6e5927196f88404cad4ad39b4585a311
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