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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
Published on: May 27, 2014
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Deciphering metabolic shifts in Gaucher disease type 1: a multi-omics study
Franklin Ducatez1,2, Marc G Berger3,4, Carine Pilon1
1Department of Metabolic Biochemistry, Referral Center for Lysosomal Diseases, Normandie Univ, UNIROUEN, CHU Rouen, INSERM U1245, Filière G2M, 76000, Rouen, France.
Summary
Gaucher disease (GD) involves altered lipid metabolism and inflammation, with signs of mitochondrial dysfunction. Autophagy inhibition drives these issues via mTORC1 activation, impacting GD progression.
Area of Science:
- Biochemistry
- Immunology
- Genetics
Background:
- Gaucher disease (GD) is an autosomal recessive lysosomal disorder caused by deficient β-glucocerebrosidase (GCase).
- This deficiency leads to glucosylceramide accumulation, resulting in diverse clinical manifestations.
- Understanding the biochemical landscape of GD is crucial for developing targeted therapies.
Purpose of the Study:
- To comprehensively investigate the biochemical and immune profiles in type 1 Gaucher disease patients.
- To identify novel biomarkers and understand the molecular mechanisms underlying GD pathogenesis.
- To correlate omics features with clinical traits and treatment status.
Main Methods:
- Immune-based proteomics and mass spectrometry-based metabolomics were employed.
- 43 type 1 GD patients and 59 controls were deeply phenotyped.
- Conventional and systems biology approaches were used for data analysis.
Main Results:
- Elevated phosphatidylcholines indicate altered lipid metabolism and endoplasmic reticulum stress.
- GD patients exhibit an inflammatory profile with elevated cytokines and autoimmune-like inflammation.
- Mitochondrial dysfunction is suggested by oxidative stress markers and altered acylcarnitine profiles.
Conclusions:
- Autophagy inhibition, through chronic mTORC1 activation, is pivotal in GD, driving lipid synthesis, mitochondrial dysfunction, and inflammation.
- Specific omics features correlate with clinical traits like platelet count and splenectomy, offering potential diagnostic markers.
- This study provides valuable insights into GD's metabolic and immune dysregulation, paving the way for future research.
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