Polyethylene glycol-based isolation of urinary extracellular vesicles, an easily adoptable protocol

Urine is a highly advantageous biological specimen for biomarker research and is a non-invasive source. Most of the urinary biomarkers are non-specific, volatile and need extensive validation before clinical adoption. Extracellular vesicles are secreted by almost all cells and are involved in homoeostasis, intercellular communication, and cellular processes in healthy and pathophysiological states. Urinary extracellular vesicles (UEVs) are released from the urogenital system and mirror the molecular processes of physiological and pathological states of their source cells. Therefore, UEVs serve as a valuable source of biomarkers for the non-invasive diagnosis of various pathologies. They hold a promising source of multiplex biomarkers suitable for prognosis, diagnosis, and therapy monitoring. UEVs are easily accessible, non-invasive, and suited for longitudinal sampling. Although various techniques are available for isolating UEVs, there is yet to be a consensus on a standard and ideal protocol. We have optimized an efficient, reliable, and easily adoptable polyethylene glycol (PEG) based UEV isolation technique following MISEV guidelines. The method is suitable for various downstream applications of UEVs. This could be a cost-effective, consistent, and accessible procedure for many clinical labs and is most suited for longitudinal analysis. Adopting the protocol will pave the way for establishing UEVs as the ideal biomarker source. •Urine can be collected non-invasively and repeatedly, hence a very useful specimen for biomarker discovery. Urinary EVs (UEVs), derived from urine, offer a stable diagnostic tool, but standardised isolation and analysis approaches are warranted.•To have enough UEVs for any study, large volumes of urine sample are necessary, which limits different isolation methods by cost, yield, and time.•The protocol developed could help researchers by offering a cost-effective and dependable UEV isolation method and may lay the foundation for UEVs adoption in clinical space.