Extracellular vesicles (EVs) are one of the key players of inter-cellular communication in all multicellular organisms1. EVs are cell-derived lipid bilayer membrane particles that can facilitate the transfer of a variety of cargo loads, such as proteins, lipids, and nucleic acids, to recipient cells. EVs can have a broad size range ranging from 30 nm up to 1 µM. Small EVs (sEVs), defined as lipid-bound vesicles with an average diameter size of <200 nm, have the ability to cross the blood-brain barrier; therefore, they have been implicated in the prion-like spread and exacerbation of neurodegenerative diseases and other conditions such as Alzheimer's disease (AD), frontotemporal dementia (FTD), Parkinson's disease (PD) and cancers2,3. Furthermore, as sEVs can be found in a range of biofluids such as blood, cerebrospinal fluid (CSF), saliva, and even urine, their beneficial use can span the field of biomarkers and non-invasive diagnostics. For example, AD research may point to the use of biofluid pathogenic protein ratios, such as tau/Aβ, or even Aβ42/Aβ404.
One known cargo of sEVs is microRNA (miRNA), a group of small, non-coding RNA molecules of around 22 nucleotides in length that bind to the 3'-UTR regions of mRNA and usually negatively regulate protein expression. Involved in many cellular roles, miRNAs have also been implicated in the pathogenesis of various diseases, including cancers and neurodegenerative diseases. Cheng et al. conducted a high-throughput sequencing analysis of serum-derived sEV miRNA expression signatures from AD patients5. Once coupled with neuroimaging records and known risk factors of age, sex, and APOE ε4 allele presentation, results were found to predict AD with 87% sensitivity and 77% specificity. Moreover, research have identified two upregulated CSF miRNAs (miR-151a-3p, let-7f-5p) and 3 downregulated miRNAs (miR-27a-3p, miR-125a-5p and miR-423-5p) that can potentially diagnose early-stage PD6. With pathological diseases, the pathological status may precede certain characteristic symptoms of diseases, whereas in neurodegeneration, the accumulation of pathological hallmarks occurs much earlier than cognitive decline.
MicroRNAs are potentially a more effective biomarker than proteins, owing to their diverse functions, and higher-order epigenetic regulation. Using brain tissue, researchers can potentially identify specific brain-derived sEV (BDsEV) miRNA signatures for diseases and their subtypes. For example, sEVs with neuronal and glial markers can present different miRNA cargo, and the analysis can result in more precise methods of disease detection. Furthermore, BDsEVs are suggested to play a large role in the transsynaptic spread of neuropathogenic proteins7. Previous reports have suggested immunoprecipitation and density gradient (sucrose gradient) ultracentrifugation to obtain sEVs from fresh-frozen brain tissue8,9. However, these approaches require specific infrastructure with ultracentrifuge and downstream purification methods to obtain high-quality sEV samples10. More recent reports have suggested several modifications and improvements to the approach11,12,13; however, despite this, isolation and study of sEV-derived microRNA from human tissues are still not widely applied. The approach described in this protocol aims to provide a refined, step-by-step protocol for brain-derived sEV study to enhance accessibility to this technique. We established a protocol using minimal amounts of brain tissue, from which we isolated pure sEVs using size exclusion chromatography and show high-quality next-generation sequencing data from the microRNA cargo of these sEVs.