| Literature DB >> 29053921 |
Jongmin Park, Hsing-Ying Lin, Jean Pierre Assaker1, Sangmoo Jeong, Chen-Han Huang, A Kurdi1, Kyungheon Lee, Kyle Fraser, Changwook Min, Siawosh Eskandari1, Sujit Routray1, Bakhos Tannous2, Reza Abdi1, Leonardo Riella1, Anil Chandraker1, Cesar M Castro, Ralph Weissleder3, Hakho Lee, Jamil R Azzi1.
Abstract
Kidney transplant patients require life-long surveillance to detect allograft rejection. Repeated biopsy, albeit the clinical gold standard, is an invasive procedure with the risk of complications and comparatively high cost. Conversely, serum creatinine or urinary proteins are noninvasive alternatives but are late markers with low specificity. We report a urine-based platform to detect kidney transplant rejection. Termed iKEA (integrated kidney exosome analysis), the approach detects extracellular vesicles (EVs) released by immune cells into urine; we reasoned that T cells, attacking kidney allografts, would shed EVs, which in turn can be used as a surrogate marker for inflammation. We optimized iKEA to detect T-cell-derived EVs and implemented a portable sensing system. When applied to clinical urine samples, iKEA revealed high level of CD3-positive EVs in kidney rejection patients and achieved high detection accuracy (91.1%). Fast, noninvasive, and cost-effective, iKEA could offer new opportunities in managing transplant recipients, perhaps even in a home setting.Entities:
Keywords: acute cellular rejection; biosensor; kidney transplant; proteomics; urine exosomes
Mesh:
Year: 2017 PMID: 29053921 PMCID: PMC6237084 DOI: 10.1021/acsnano.7b05083
Source DB: PubMed Journal: ACS Nano ISSN: 1936-0851 Impact factor: 15.881