Skip to content
DraconiticResearch
Search Sources API
201,818 studies31 sourcesUpdated just now
Peer-reviewedCC BY 4.0Cells

Lipidomic Profiling of Peripheral Extracellular Vesicles as a Potential Source of Biomarkers in Gaucher Disease

4 affiliations
  1. 1Department of Pathology, Immunology and Laboratory Medicine, Southeast Center for Integrated Metabolomics (SECIM), College of Medicine, University of Florida, Gainesville, FL 32610, USA
  2. 2Department of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL 32610, USA
  3. 3Departments of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
  4. 4NewYork-Presbyterian Morgan Stanley Children’s Hospital, New York, NY 10032, USA

Abstract

Extracellular vesicles (EVs) are small, membrane-enclosed nanovesicles released by cells and play an essential role in cellular communication. EVs contain condensed information about physiological/pathological states, serving as fingerprints and providing access to candidate biomarkers with potential monitoring and prognostic value. In this context, we isolated EVs from serum and urine samples from patients with Gaucher disease type 1 (GD1), a lysosomal disease (LD) caused by glucocerebrosidase deficiency. Using LC-MS/MS lipidomics, we analyzed 52 serum- and urine-derived EVs from 15 patients with GD1, including those undergoing enzyme replacement therapy (ERT). EV specimens were biologically characterized and showed increased levels of glucosylceramide and related sphingolipids. Interestingly, in the lipidomic analysis, sphingomyelin, phosphoethanolamine (PE), plasmenyl-PE, phosphatidylcholine, and some triglyceride species showed a distinct pattern in GD1. The lipidomic profiles of isolated EVs change dynamically during ERT, supporting the potential utility of EV-based biomarkers for disease staging and assessment of therapeutic response. In sum, circulating EVs with specific lipidomic profiles reflecting pathophysiological conditions are a potential source of candidate GD1 biomarkers. Given that their biogenesis is closely linked to impairment of the endosomal/lysosomal system, as classically observed in GD1 and other LDs, EV-based lipid profiling may, after validation in independent cohorts, contribute to individualized and precise monitoring of current and emerging therapies for these disorders.

Related

  1. Identifying potential biomarkers for mild COVID-19 in saliva by miRNA profiling using NGS and ddPCR
    Malena Gajate-Arenas, Candela Sirvent-Blanco, Omar García-Pérez +5
    Scientific ReportsPeer-reviewedCC BYFull textOncologyDOAJ
  2. Lipidomic profiling reveals a distinct lipidomic signature of early gestational diabetes
    Saeede Saadati, Rasoul Godini, Eveline Jona +6
    Communications MedicinePeer-reviewedCC BY 4.0Full text2 citedObstetrics, gynaecology & paediatricsPMC
  3. Differentiation of Human Glioblastoma Stem Cells as a Prospective Tool to Find New Biomarkers and Molecular Targets: A Proteomic and Lipidomic Approach
    Ana M. Cardoso, Diana Serra, Cristina P. R. Xavier +7
    International Journal of Molecular SciencesPeer-reviewedCC BY 4.0Human geneticsCrossref
  4. COMPREHENSIVE LIPIDOMIC PROFILING COMBINED WITH MACHINE LEARNING REVEALS BASELINE SIGNATURES PREDICTIVE OF FIRST LEG ULCER DEVELOPMENT IN SICKLE CELL DISEASE
    Felipe Custódio Carvalho DOS SANTOS, Álex Aparecido Rosini SILVA, Marcos Eduardo Souza ABREU +12
    Hematology, Transfusion and Cell TherapyPeer-reviewedCC BYFull textHuman geneticsDOAJ
  5. A Preliminary Exploratory Study Based on LC–MS/MS and LFQ for Candidate Protein Biomarkers in Peripheral Blood from Rheumatoid Arthritis
    Maria P. Toussaint-Padilla, Sherine Gabriel, Timothy L. Karr +4
    BiomedicinesPeer-reviewedCC BYFull textGeneral medicineEurope PMC
BibTeX
@article{guingabcagmat2026lipidomic,
  title = {{Lipidomic Profiling of Peripheral Extracellular Vesicles as a Potential Source of Biomarkers in Gaucher Disease}},
  author = {Joy Guingab-Cagmat and Mariola J. Ferraro and Timothy J. Garrett and Gustavo H. B. Maegawa},
  journal = {Cells},
  year = {2026},
  month = oct,
  doi = {10.3390/cells15201862},
  url = {https://www.mdpi.com/2073-4409/15/20/1862},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Lipidomic Profiling of Peripheral Extracellular Vesicles as a Potential Source of Biomarkers in Gaucher Disease
AU  - Joy Guingab-Cagmat
AU  - Mariola J. Ferraro
AU  - Timothy J. Garrett
AU  - Gustavo H. B. Maegawa
PY  - 2026
DA  - 2026/10/13
JO  - Cells
DO  - 10.3390/cells15201862
UR  - https://www.mdpi.com/2073-4409/15/20/1862
AB  - Extracellular vesicles (EVs) are small, membrane-enclosed nanovesicles released by cells and play an essential role in cellular communication. EVs contain condensed information about physiological/pathological states, serving as fingerprints and providing access to candidate biomarkers with potential monitoring and prognostic value. In this context, we isolated EVs from serum and urine samples from patients with Gaucher disease type 1 (GD1), a lysosomal disease (LD) caused by glucocerebrosidase deficiency. Using LC-MS/MS lipidomics, we analyzed 52 serum- and urine-derived EVs from 15 patients with GD1, including those undergoing enzyme replacement therapy (ERT). EV specimens were biologically characterized and showed increased levels of glucosylceramide and related sphingolipids. Interestingly, in the lipidomic analysis, sphingomyelin, phosphoethanolamine (PE), plasmenyl-PE, phosphatidylcholine, and some triglyceride species showed a distinct pattern in GD1. The lipidomic profiles of isolated EVs change dynamically during ERT, supporting the potential utility of EV-based biomarkers for disease staging and assessment of therapeutic response. In sum, circulating EVs with specific lipidomic profiles reflecting pathophysiological conditions are a potential source of candidate GD1 biomarkers. Given that their biogenesis is closely linked to impairment of the endosomal/lysosomal system, as classically observed in GD1 and other LDs, EV-based lipid profiling may, after validation in independent cohorts, contribute to individualized and precise monitoring of current and emerging therapies for these disorders.
SN  - 2073-4409
ER  -