Integrated Kidney Exosome Analysis for the Detection of Kidney Transplant Rejection
Year: 2017
Type: article
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.
Source: ACS Nano
Authors: Jongmin Park, Hsing-Ying Lin, Jean Pierre Assaker, Sangmoo Jeong, Chen-Han Huang, Ahmed Kurdi, Kyungheon Lee, Kyle Fraser, Changwook Min, Siawosh Eskandari, Sujit Routray, Bakhos Tannous, Reza Abdi, Leonardo Riella, Anil Chandraker, Cesar M. Castro, Ralph Weissleder, Hakho Lee, Jamil R. Azzi
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Funders: American Diabetes Association, American Heart Association, Massachusetts General Hospital, Ovarian Cancer Research Fund Alliance, Ministry of Education, National Research Foundation of Korea, Institute for Basic Science, National Institutes of Health, National Heart, Lung, and Blood Institute, National Cancer Institute, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Biomedical Imaging and Bioengineering
Awards: G1098359285, Boston Area Diabetes Endocrinology Research Center, Multiplexed analysis of exosomes in cancer nano therapy, Extracellular Vesicles (EVs) and Genes in the Biology and Therapy of Gliomas, G1493351568, G1515443131, Novel Clickdyes for Biomedical Sensing, G2208723817, G4336616555, G4699324182, G73661279, MAGNETIC NANOSENSORS FOR BIOMEDICAL ANALYSES OF MICROVESICLES, G8475302490, Multiplexed exosome analyses with DNA barcoding, Center for the Study of Inflammatory Bowel Disease at Massachusetts General Hospital
OpenAlex ID: W2766519372