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Updated: May 27, 2025

Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
Published on: January 31, 2025
Metabolomic and Proteomic Profiling of Serum-Derived Extracellular Vesicles from Early-Stage Amyotrophic Lateral
Yara Al Ojaimi1, Nicolas Vallet2, Audrey Dangoumau3
1INSERM, Imaging Brain & Neuropsychiatry iBraiN U1253, Université de Tours, 37032, Tours, France. yara.alojaimi@univ-tours.fr.
Abstract:
The identification of reliable biomarkers for amyotrophic lateral sclerosis (ALS) is an unmet medical need for the development of diagnostic and therapeutic strategies. Brain-derived extracellular vesicles (EVs) have been described in peripheral blood serum and used as a direct readout of the status of the central nervous system. Here, we aimed to explore exosome-enriched EVs (referred to simply as EVs) from ALS patients via omics analysis at an early disease stage. Serum EVs were obtained from 9 healthy controls and 9 ALS patients. After EV purification, proteomic (LC‒MS/MS followed by TimsTOF Pro Mass Spectrometry) and metabolomic (Q Exactive mass spectrometer) analyses were performed. No differences in the size or concentration of EVs were observed between the controls and ALS patients. Proteomic analysis revealed 45 proteins differentially expressed in the EVs of ALS patients compared with those of controls. Metabolomic analysis revealed several distinctly represented metabolites involved in the citrate cycle and complex lipid metabolism between patients and controls. Interomics correlation analysis revealed 2 modules that were strongly associated with ALS and included several lipid metabolism-related proteins and metabolites. This study is the first to evaluate EVs by integrated proteomics and metabolomics in early-stage ALS patients, highlighting the technological progress in global inter-omics explorations of small biological samples. The differences observed in the levels of several exosomal proteins and metabolites, including phospholipids, could be used to identify serum biomarkers and novel players involved in ALS pathogenesis.
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