Mapping the Molecular Identity of Human EVs
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By
February 4, 2026
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7 min
A study from the Baker Heart and Diabetes Institute explores extracellular vesicles (EVs) as key mediators of intercellular communication and sources for minimally invasive biomarkers. By utilizing high-sensitivity mass spectrometry, lipidomics, and single-vesicle flow cytometry integrated with machine learning, researchers have established a molecular framework for identifying EVs in complex human plasma. This work addresses challenges in distinguishing EVs from other plasma components, providing a valuable reference map (EVMap) for future diagnostic and therapeutic applications.
1. EVs are key in intercellular communication. 2. Challenges exist in isolating EVs from human plasma. 3. Machine learning was utilized for data integration. 4. A total of 182 proteins and 52 lipids were identified as intrinsic to EVs. 5. EVMap provides a molecular framework for identifying EVs. 6. Findings highlight the selective presence of hallmark features in EVs. 7. Future work will focus on using EV features for stable biomarkers. 8. The study advances possibilities for non-invasive disease detection.
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