1. Parsing Fabry Disease Metabolic Plasticity Using Metabolomics
- Author
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Agnès Boullier, Olivier Lidove, Carine Pilon, Raphaël Aubert, Tony Pereira, Olivier Benveniste, Franklin Ducatez, Stéphane Marret, Soumeya Bekri, Abdellah Tebani, Wladimir Mauhin, Génomique et Médecine Personnalisée du Cancer et des Maladies Neuropsychiatriques (GPMCND), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Groupe Hospitalier Diaconesses Croix Saint-Simon, Mécanismes physiopathologiques et conséquences des calcifications vasculaires - UR UPJV 7517 (MP3CV), Université de Picardie Jules Verne (UPJV)-CHU Amiens-Picardie, CHU Rouen, Normandie Université (NU), Service de médecine interne et d'immunologie clinique [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service de Département de médecine interne et immunologie clinique [CHU Pitié-Salpêtrière] (DMIIC), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre de recherche en Myologie – U974 SU-INSERM, and Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)
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Systems biology ,Medicine (miscellaneous) ,inborn errors of metabolism ,Disease ,Computational biology ,Biology ,Article ,03 medical and health sciences ,0302 clinical medicine ,Metabolomics ,Biogenic amine ,medicine ,[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology ,lysosomal storage diseases ,030304 developmental biology ,chemistry.chemical_classification ,0303 health sciences ,Fabry disease ,systems biology ,Omics ,medicine.disease ,metabolomics ,3. Good health ,Enzyme ,machine learning ,chemistry ,Medicine ,Sphingomyelin ,030217 neurology & neurosurgery - Abstract
International audience; Background: Fabry disease (FD) is an X-linked lysosomal disease due to a deficiency in the activity of the lysosomal α-galactosidase A (GalA), a key enzyme in the glycosphingolipid degradation pathway. FD is a complex disease with a poor genotype–phenotype correlation. FD could involve kidney, heart or central nervous system impairment that significantly decreases life expectancy. The advent of omics technologies offers the possibility of a global, integrated and systemic approach well-suited for the exploration of this complex disease. Materials and Methods: Sixty-six plasmas of FD patients from the French Fabry cohort (FFABRY) and 60 control plasmas were analyzed using liquid chromatography and mass spectrometry-based targeted metabolomics (188 metabolites) along with the determination of LysoGb3 concentration and GalA enzymatic activity. Conventional univariate analyses as well as systems biology and machine learning methods were used. Results: The analysis allowed for the identification of discriminating metabolic profiles that unambiguously separate FD patients from control subjects. The analysis identified 86 metabolites that are differentially expressed, including 62 Glycerophospholipids, 8 Acylcarnitines, 6 Sphingomyelins, 5 Aminoacids and 5 Biogenic Amines. Thirteen consensus metabolites were identified through network-based analysis, including 1 biogenic amine, 2 lysophosphatidylcholines and 10 glycerophospholipids. A predictive model using these metabolites showed an AUC-ROC of 0.992 (CI: 0.965–1.000). Conclusion: These results highlight deep metabolic remodeling in FD and confirm the potential of omics-based approaches in lysosomal diseases to reveal clinical and biological associations to generate pathophysiological hypotheses.
- Published
- 2021