Why the study?
Extracellular vesicles are highly heterogeneous, requiring complex protocols to identify and characterize specific subpopulations, which limits biomedical applications like diagnostics.
A novel multisensing strategy combining QCM-D and NPS can effectively characterize extracellular vesicles, offering potential new biomarkers for neurodegenerative diseases.
Extracellular vesicles (EVs) are secreted nanoparticles that are involved in intercellular communication and that modulate a wide range of biological processes in normal and disease conditions. However, EVs are highly heterogeneous in terms of origin in the cell, size, and density. As a result, complex protocols are required to identify and characterize specific EV subpopulations, limiting biomedical applications, notably in diagnostics. Here, we show that combining quartz crystal microbalance with dissipation (QCM-D) and nanoplasmonic sensing (NPS) provides a facile method to track the viscoelastic properties of small EVs. We applied this multisensing strategy to analyze small EVs isolated by differential ultracentrifugation from knock-in mouse striatal cells expressing either a mutated allele or wild-type allele of huntingtin (Htt), the Huntington's disease gene. Our results validate the sensing strategy coupling QCM-D and NPS and suggest that the mass and viscoelastic dissipation of EVs can serve as potent biomarkers for sensing the intercellular changes associated with the neurodegenerative condition.
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Mazouzi et al. (2022) studied Huntington's disease. Quartz crystal microbalance with dissipation (QCM-D) and nanoplasmonic sensing (NPS) was evaluated on Viscoelastic properties and mass of small extracellular vesicles.
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