CandyCollect: An Open-Microfluidic Device for the Direct Capture and Enumeration of Salivary-Extracellular Vesicles

Abstract

Extracellular Vesicles (EVs) are membrane-derived vesicles shed by cells into the extracellular space that play key roles in intercellular communication and other biological processes. As membrane-bound cargos of nucleic acids and other proteins that are abundantly found in virtually every biofluid including blood, urine, and saliva, EVs are widely regarded as promising biomarkers for disease detection. While it is an increasingly promising biofluid from which to isolate EVs, saliva poses challenges due its complexity and heterogeneity: cells, debris, and other proteins can inhibit the isolation of EVs by traditional platforms. Here, we employ the CandyCollect, a lollipop-inspired sampling device with open microfluidic channels, as a non-invasive and patient-friendly alternative for the capture of salivary EVs. The CandyCollect simplifies sample preparation by effectively pre-concentrating EVs on the device surface before EVs are eluted off of the CandyCollect, labeled with cholesterol-tagged oligonucleotides, and subsequently detected by qPCR with primers specific for the tagged oligos to enumerate the relative number of EVs. We demonstrate that downstream EV cargo analysis can be performed using Simoa. Overall, the CandyCollect ushers a new method to capture, enumerate, and analyze salivary EVs.