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Integrated Kidney Exosome Analysis for the Detection of Kidney Transplant Rejection
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 alternati...
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Published in: | ACS nano 2017-11, Vol.11 (11), p.11041-11046 |
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creator | Park, Jongmin Lin, Hsing-Ying Assaker, Jean Pierre Jeong, Sangmoo Huang, Chen-Han Kurdi, Ahmed Lee, Kyungheon Fraser, Kyle Min, Changwook Eskandari, Siawosh Routray, Sujit Tannous, Bakhos Abdi, Reza Riella, Leonardo Chandraker, Anil Castro, Cesar M Weissleder, Ralph Lee, Hakho Azzi, Jamil R |
description | 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. |
doi_str_mv | 10.1021/acsnano.7b05083 |
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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.</description><identifier>ISSN: 1936-0851</identifier><identifier>EISSN: 1936-086X</identifier><identifier>DOI: 10.1021/acsnano.7b05083</identifier><identifier>PMID: 29053921</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Biosensing Techniques - methods ; Exosomes - immunology ; Extracellular Vesicles - immunology ; Extracellular Vesicles - pathology ; Female ; Graft Rejection - immunology ; Graft Rejection - physiopathology ; Graft Rejection - urine ; Humans ; Inflammation - immunology ; Inflammation - physiopathology ; Inflammation - urine ; Kidney - immunology ; Kidney - pathology ; Kidney Transplantation - adverse effects ; Male ; Proteomics - methods ; T-Lymphocytes - immunology</subject><ispartof>ACS nano, 2017-11, Vol.11 (11), p.11041-11046</ispartof><rights>Copyright © 2017 American Chemical Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a495t-c52c6a04daa3dd76b903e2504d6ecd045be0f001942329d4b12d11aa310c8dbb3</citedby><cites>FETCH-LOGICAL-a495t-c52c6a04daa3dd76b903e2504d6ecd045be0f001942329d4b12d11aa310c8dbb3</cites><orcidid>0000-0003-0828-4143 ; 0000-0001-8338-9346 ; 0000-0002-0087-0909</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29053921$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Park, Jongmin</creatorcontrib><creatorcontrib>Lin, Hsing-Ying</creatorcontrib><creatorcontrib>Assaker, Jean Pierre</creatorcontrib><creatorcontrib>Jeong, Sangmoo</creatorcontrib><creatorcontrib>Huang, Chen-Han</creatorcontrib><creatorcontrib>Kurdi, Ahmed</creatorcontrib><creatorcontrib>Lee, Kyungheon</creatorcontrib><creatorcontrib>Fraser, Kyle</creatorcontrib><creatorcontrib>Min, Changwook</creatorcontrib><creatorcontrib>Eskandari, Siawosh</creatorcontrib><creatorcontrib>Routray, Sujit</creatorcontrib><creatorcontrib>Tannous, Bakhos</creatorcontrib><creatorcontrib>Abdi, Reza</creatorcontrib><creatorcontrib>Riella, Leonardo</creatorcontrib><creatorcontrib>Chandraker, Anil</creatorcontrib><creatorcontrib>Castro, Cesar M</creatorcontrib><creatorcontrib>Weissleder, Ralph</creatorcontrib><creatorcontrib>Lee, Hakho</creatorcontrib><creatorcontrib>Azzi, Jamil R</creatorcontrib><title>Integrated Kidney Exosome Analysis for the Detection of Kidney Transplant Rejection</title><title>ACS nano</title><addtitle>ACS Nano</addtitle><description>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.</description><subject>Biosensing Techniques - methods</subject><subject>Exosomes - immunology</subject><subject>Extracellular Vesicles - immunology</subject><subject>Extracellular Vesicles - pathology</subject><subject>Female</subject><subject>Graft Rejection - immunology</subject><subject>Graft Rejection - physiopathology</subject><subject>Graft Rejection - urine</subject><subject>Humans</subject><subject>Inflammation - immunology</subject><subject>Inflammation - physiopathology</subject><subject>Inflammation - urine</subject><subject>Kidney - immunology</subject><subject>Kidney - pathology</subject><subject>Kidney Transplantation - adverse effects</subject><subject>Male</subject><subject>Proteomics - methods</subject><subject>T-Lymphocytes - immunology</subject><issn>1936-0851</issn><issn>1936-086X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kctLAzEQxoMotj7O3mSPglQnyWYfF6H4xoLgA7yFbDKrW7ZJTVKx_71b-kAPnhLy_eabyXyEHFE4o8DoudLBKuvO8goEFHyL9GnJswEU2dv25i5oj-yFMAYQeZFnu6THShC8ZLRPnu9txHevIprkoTEW58n1twtugsnQqnYempDUzifxA5MrjKhj42zi6jX84pUN01bZmDzheCkfkJ1atQEPV-c-eb25frm8G4web-8vh6OBSksRB1ownSlIjVLcmDyrSuDIRPeQoTaQigqhBqBlyjgrTVpRZijtYAq6MFXF98nF0nc6qyZoNNroVSunvpkoP5dONfKvYpsP-e6-ZMZ4DkXaGZysDLz7nGGIctIEjW33HXSzIGkpUsgLwRfo-RLV3oXgsd60oSAXUchVFHIVRVdx_Hu6Db_efQecLoGuUo7dzHf7Dv_a_QDqc5a7</recordid><startdate>20171128</startdate><enddate>20171128</enddate><creator>Park, Jongmin</creator><creator>Lin, Hsing-Ying</creator><creator>Assaker, Jean Pierre</creator><creator>Jeong, Sangmoo</creator><creator>Huang, Chen-Han</creator><creator>Kurdi, Ahmed</creator><creator>Lee, Kyungheon</creator><creator>Fraser, Kyle</creator><creator>Min, Changwook</creator><creator>Eskandari, Siawosh</creator><creator>Routray, Sujit</creator><creator>Tannous, Bakhos</creator><creator>Abdi, Reza</creator><creator>Riella, Leonardo</creator><creator>Chandraker, Anil</creator><creator>Castro, Cesar M</creator><creator>Weissleder, Ralph</creator><creator>Lee, Hakho</creator><creator>Azzi, Jamil R</creator><general>American Chemical Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0828-4143</orcidid><orcidid>https://orcid.org/0000-0001-8338-9346</orcidid><orcidid>https://orcid.org/0000-0002-0087-0909</orcidid></search><sort><creationdate>20171128</creationdate><title>Integrated Kidney Exosome Analysis for the Detection of Kidney Transplant Rejection</title><author>Park, Jongmin ; Lin, Hsing-Ying ; Assaker, Jean Pierre ; Jeong, Sangmoo ; Huang, Chen-Han ; Kurdi, Ahmed ; Lee, Kyungheon ; Fraser, Kyle ; Min, Changwook ; Eskandari, Siawosh ; Routray, Sujit ; Tannous, Bakhos ; Abdi, Reza ; Riella, Leonardo ; Chandraker, Anil ; Castro, Cesar M ; Weissleder, Ralph ; Lee, Hakho ; Azzi, Jamil R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a495t-c52c6a04daa3dd76b903e2504d6ecd045be0f001942329d4b12d11aa310c8dbb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Biosensing Techniques - methods</topic><topic>Exosomes - immunology</topic><topic>Extracellular Vesicles - immunology</topic><topic>Extracellular Vesicles - pathology</topic><topic>Female</topic><topic>Graft Rejection - immunology</topic><topic>Graft Rejection - physiopathology</topic><topic>Graft Rejection - urine</topic><topic>Humans</topic><topic>Inflammation - immunology</topic><topic>Inflammation - physiopathology</topic><topic>Inflammation - urine</topic><topic>Kidney - immunology</topic><topic>Kidney - pathology</topic><topic>Kidney Transplantation - adverse effects</topic><topic>Male</topic><topic>Proteomics - methods</topic><topic>T-Lymphocytes - immunology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, Jongmin</creatorcontrib><creatorcontrib>Lin, Hsing-Ying</creatorcontrib><creatorcontrib>Assaker, Jean Pierre</creatorcontrib><creatorcontrib>Jeong, Sangmoo</creatorcontrib><creatorcontrib>Huang, Chen-Han</creatorcontrib><creatorcontrib>Kurdi, Ahmed</creatorcontrib><creatorcontrib>Lee, Kyungheon</creatorcontrib><creatorcontrib>Fraser, Kyle</creatorcontrib><creatorcontrib>Min, Changwook</creatorcontrib><creatorcontrib>Eskandari, Siawosh</creatorcontrib><creatorcontrib>Routray, Sujit</creatorcontrib><creatorcontrib>Tannous, Bakhos</creatorcontrib><creatorcontrib>Abdi, Reza</creatorcontrib><creatorcontrib>Riella, Leonardo</creatorcontrib><creatorcontrib>Chandraker, Anil</creatorcontrib><creatorcontrib>Castro, Cesar M</creatorcontrib><creatorcontrib>Weissleder, Ralph</creatorcontrib><creatorcontrib>Lee, Hakho</creatorcontrib><creatorcontrib>Azzi, Jamil R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>ACS nano</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, Jongmin</au><au>Lin, Hsing-Ying</au><au>Assaker, Jean Pierre</au><au>Jeong, Sangmoo</au><au>Huang, Chen-Han</au><au>Kurdi, Ahmed</au><au>Lee, Kyungheon</au><au>Fraser, Kyle</au><au>Min, Changwook</au><au>Eskandari, Siawosh</au><au>Routray, Sujit</au><au>Tannous, Bakhos</au><au>Abdi, Reza</au><au>Riella, Leonardo</au><au>Chandraker, Anil</au><au>Castro, Cesar M</au><au>Weissleder, Ralph</au><au>Lee, Hakho</au><au>Azzi, Jamil R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated Kidney Exosome Analysis for the Detection of Kidney Transplant Rejection</atitle><jtitle>ACS nano</jtitle><addtitle>ACS Nano</addtitle><date>2017-11-28</date><risdate>2017</risdate><volume>11</volume><issue>11</issue><spage>11041</spage><epage>11046</epage><pages>11041-11046</pages><issn>1936-0851</issn><eissn>1936-086X</eissn><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.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>29053921</pmid><doi>10.1021/acsnano.7b05083</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-0828-4143</orcidid><orcidid>https://orcid.org/0000-0001-8338-9346</orcidid><orcidid>https://orcid.org/0000-0002-0087-0909</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biosensing Techniques - methods Exosomes - immunology Extracellular Vesicles - immunology Extracellular Vesicles - pathology Female Graft Rejection - immunology Graft Rejection - physiopathology Graft Rejection - urine Humans Inflammation - immunology Inflammation - physiopathology Inflammation - urine Kidney - immunology Kidney - pathology Kidney Transplantation - adverse effects Male Proteomics - methods T-Lymphocytes - immunology |
title | Integrated Kidney Exosome Analysis for the Detection of Kidney Transplant Rejection |
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