Posted: 2021-10-13 19:00:00
Aims: Long-term kidney allograft survival requires a personalized approach to allograft injury recognition in a timely and reliable manner. Kidney biopsy is invasive and unsuitable for continuous function assessment. Alternatively, in urine, we find extracellular vesicles (uEVs), stable carriers of kidney pathology signals. Analysis of uEVs and their cargo could allow for more frequent and non-invasive assessment of allograft function. We aimed to optimize the uEVs isolation method applicable for kidney allograft injury biomarker studies. Materials and methods: To this end, we optimized several steps of size-exclusion chromatography (SEC)-based method for uEVs isolation from second morning urine of kidney allograft recipients. uEVs were characterized by transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA), western analysis, and quantitative PCR. Results: According to TEM and NTA, SEC isolated high concentrations (8.64 × 108 EVs/mL of urine) of EVs that showed typical morphology and mean size (171 nm), but addition of EDTA and filtration step were needed to remove impurities. Additionally, typical EV proteins Hsc70, CD63, flotillin, tubulin, GAPDH, and miR hsa-let-7i were detected in isolated uEVs, further confirming their identity. Conclusion: Optimized method based on SEC was effective and adequate in isolating pure EVs from urine of kidney allograft recipients and could be used in future biomarker studies.
Powered by Börsen-Handelssysteme