Post-transplant nuclear renal scans correlate with renal injury biomarkers and early allograft outcomes
Background. Clinical- and histopathology-based scores are limited predictors of allograft outcome. In addition, more objective markers of early transplant function are needed to identify and validate biomarkers and predictive scores. We evaluated existing scores and transcriptome biomarkers of kidne...
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| Veröffentlicht in: | Nephrology, dialysis, transplantation dialysis, transplantation, 2011-09, Vol.26 (9), p.3038-3045 |
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| creator | Obeidat, Motaz A. Luyckx, Valerie A. Grebe, Scott O. Jhangri, Gian S. Maguire, Connor Zavodni, Anna Jackson, Stuart Mueller, Thomas F. |
| description | Background. Clinical- and histopathology-based scores are limited predictors of allograft outcome. In addition, more objective markers of early transplant function are needed to identify and validate biomarkers and predictive scores. We evaluated existing scores and transcriptome biomarkers of kidney injury as predictors of early transplant function measured by renal scan.
Methods. Clinical, histopathologic and transcriptome data were collected in 143 consecutive kidney transplant recipients. A post-operative renal scan was performed within 48 h. Prediction scores for early outcomes were calculated.
Results. Patients were stratified into three groups by renal scan: normal, mild-to-moderate or severe dysfunction. Kidneys with severe dysfunction were more often from deceased donors (P |
| doi_str_mv | 10.1093/ndt/gfq814 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_892947915</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/ndt/gfq814</oup_id><sourcerecordid>892947915</sourcerecordid><originalsourceid>FETCH-LOGICAL-c382t-afbae2c299a19311d8d8c6566ccfb34dfdd90cb7c0b1c2480acde9a6ccfd0c643</originalsourceid><addsrcrecordid>eNp9kMtOwzAQRS0EoqWw4QOQNwgJKdR2nl6iipdUCRawjpyxU1KcOLUdof49rhrojpUX98yM70HokpI7Sng876Sfr-pNQZMjNKVJRiIWF-kxmoaQRiQlfILOnFsTQjjL81M0YTRmlJB0ilZvxvnIW9G5XovO424ArYTFVnVCYwchwGCsVVp4hb8b_zlGTbce7BZXjWmF_VLWYdFJHEb1FgutzcqK2mMzeDCtcufopBbaqYvxnaGPx4f3xXO0fH16WdwvI4gL5iNRV0IxYJwLGj5PZSELyNIsA6irOJG1lJxAlQOpKLCkIAKk4mIXSwJZEs_QzX5vb81mUM6XbeNA6dBNmcGVBWc8yTlNA3m7J8Ea56yqy942ocq2pKTceS2D13LvNcBX49qhapX8Q39FBuB6BERwpusgFBp34JI0tGDJgTND_9_BH-YkkWo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>892947915</pqid></control><display><type>article</type><title>Post-transplant nuclear renal scans correlate with renal injury biomarkers and early allograft outcomes</title><source>MEDLINE</source><source>Oxford University Press Journals All Titles (1996-Current)</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Obeidat, Motaz A. ; Luyckx, Valerie A. ; Grebe, Scott O. ; Jhangri, Gian S. ; Maguire, Connor ; Zavodni, Anna ; Jackson, Stuart ; Mueller, Thomas F.</creator><creatorcontrib>Obeidat, Motaz A. ; Luyckx, Valerie A. ; Grebe, Scott O. ; Jhangri, Gian S. ; Maguire, Connor ; Zavodni, Anna ; Jackson, Stuart ; Mueller, Thomas F.</creatorcontrib><description><![CDATA[Background. Clinical- and histopathology-based scores are limited predictors of allograft outcome. In addition, more objective markers of early transplant function are needed to identify and validate biomarkers and predictive scores. We evaluated existing scores and transcriptome biomarkers of kidney injury as predictors of early transplant function measured by renal scan.
Methods. Clinical, histopathologic and transcriptome data were collected in 143 consecutive kidney transplant recipients. A post-operative renal scan was performed within 48 h. Prediction scores for early outcomes were calculated.
Results. Patients were stratified into three groups by renal scan: normal, mild-to-moderate or severe dysfunction. Kidneys with severe dysfunction were more often from deceased donors (P < 0.001), had greater HLA antigen mismatches (P < 0.001), were transplanted into older recipients (P = 0.040), had lower urine output during the first 8 h (P < 0.001), higher Day 7 serum creatinine (P < 0.001) and higher incidence of delayed graft function (P < 0.001). Clinical- and pathology-based scores did not discriminate between scan groups. In contrast, the overall transcriptome (P < 0.001) and transcripts of preselected acute kidney injury (AKI) genes were significantly different between the groups, with kidney injury molecule 1 (P = 0.001) and neutrophil gelatinase-associated lipocalin (P = 0.002) being most highly expressed and genes associated with glutathione metabolism (GSTA1, 3 and 4) most down-regulated in kidneys with subsequent severe dysfunction.
Conclusions. Renal scans reflect early transplant function and allow for a more objective assessment of scores predicting early outcome and for identification of biomarkers. The study shows that transcript levels of AKI genes correlate better with renal scans than clinical- or histopathology-based scores.]]></description><identifier>ISSN: 0931-0509</identifier><identifier>EISSN: 1460-2385</identifier><identifier>DOI: 10.1093/ndt/gfq814</identifier><identifier>PMID: 21321005</identifier><identifier>CODEN: NDTREA</identifier><language>eng</language><publisher>Oxford: Oxford University Press</publisher><subject>Acute Kidney Injury - diagnosis ; Acute Kidney Injury - etiology ; Adult ; Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy ; Biological and medical sciences ; Biomarkers - analysis ; Biomarkers - metabolism ; Delayed Graft Function - diagnosis ; Delayed Graft Function - etiology ; Emergency and intensive care: renal failure. Dialysis management ; Female ; Follow-Up Studies ; Gene Expression Profiling ; Graft Rejection - diagnosis ; Graft Rejection - etiology ; Humans ; Intensive care medicine ; Kidney - physiopathology ; Kidney Transplantation ; Magnetic Resonance Imaging ; Male ; Medical sciences ; Middle Aged ; Oligonucleotide Array Sequence Analysis ; Prognosis ; RNA, Messenger - genetics ; Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases ; Surgery of the urinary system ; Survival Rate ; Transplantation, Homologous</subject><ispartof>Nephrology, dialysis, transplantation, 2011-09, Vol.26 (9), p.3038-3045</ispartof><rights>The Author 2011. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com 2011</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c382t-afbae2c299a19311d8d8c6566ccfb34dfdd90cb7c0b1c2480acde9a6ccfd0c643</citedby><cites>FETCH-LOGICAL-c382t-afbae2c299a19311d8d8c6566ccfb34dfdd90cb7c0b1c2480acde9a6ccfd0c643</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,1585,27929,27930</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24565624$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21321005$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Obeidat, Motaz A.</creatorcontrib><creatorcontrib>Luyckx, Valerie A.</creatorcontrib><creatorcontrib>Grebe, Scott O.</creatorcontrib><creatorcontrib>Jhangri, Gian S.</creatorcontrib><creatorcontrib>Maguire, Connor</creatorcontrib><creatorcontrib>Zavodni, Anna</creatorcontrib><creatorcontrib>Jackson, Stuart</creatorcontrib><creatorcontrib>Mueller, Thomas F.</creatorcontrib><title>Post-transplant nuclear renal scans correlate with renal injury biomarkers and early allograft outcomes</title><title>Nephrology, dialysis, transplantation</title><addtitle>Nephrol Dial Transplant</addtitle><description><![CDATA[Background. Clinical- and histopathology-based scores are limited predictors of allograft outcome. In addition, more objective markers of early transplant function are needed to identify and validate biomarkers and predictive scores. We evaluated existing scores and transcriptome biomarkers of kidney injury as predictors of early transplant function measured by renal scan.
Methods. Clinical, histopathologic and transcriptome data were collected in 143 consecutive kidney transplant recipients. A post-operative renal scan was performed within 48 h. Prediction scores for early outcomes were calculated.
Results. Patients were stratified into three groups by renal scan: normal, mild-to-moderate or severe dysfunction. Kidneys with severe dysfunction were more often from deceased donors (P < 0.001), had greater HLA antigen mismatches (P < 0.001), were transplanted into older recipients (P = 0.040), had lower urine output during the first 8 h (P < 0.001), higher Day 7 serum creatinine (P < 0.001) and higher incidence of delayed graft function (P < 0.001). Clinical- and pathology-based scores did not discriminate between scan groups. In contrast, the overall transcriptome (P < 0.001) and transcripts of preselected acute kidney injury (AKI) genes were significantly different between the groups, with kidney injury molecule 1 (P = 0.001) and neutrophil gelatinase-associated lipocalin (P = 0.002) being most highly expressed and genes associated with glutathione metabolism (GSTA1, 3 and 4) most down-regulated in kidneys with subsequent severe dysfunction.
Conclusions. Renal scans reflect early transplant function and allow for a more objective assessment of scores predicting early outcome and for identification of biomarkers. The study shows that transcript levels of AKI genes correlate better with renal scans than clinical- or histopathology-based scores.]]></description><subject>Acute Kidney Injury - diagnosis</subject><subject>Acute Kidney Injury - etiology</subject><subject>Adult</subject><subject>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</subject><subject>Biological and medical sciences</subject><subject>Biomarkers - analysis</subject><subject>Biomarkers - metabolism</subject><subject>Delayed Graft Function - diagnosis</subject><subject>Delayed Graft Function - etiology</subject><subject>Emergency and intensive care: renal failure. Dialysis management</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Gene Expression Profiling</subject><subject>Graft Rejection - diagnosis</subject><subject>Graft Rejection - etiology</subject><subject>Humans</subject><subject>Intensive care medicine</subject><subject>Kidney - physiopathology</subject><subject>Kidney Transplantation</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Prognosis</subject><subject>RNA, Messenger - genetics</subject><subject>Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases</subject><subject>Surgery of the urinary system</subject><subject>Survival Rate</subject><subject>Transplantation, Homologous</subject><issn>0931-0509</issn><issn>1460-2385</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMtOwzAQRS0EoqWw4QOQNwgJKdR2nl6iipdUCRawjpyxU1KcOLUdof49rhrojpUX98yM70HokpI7Sng876Sfr-pNQZMjNKVJRiIWF-kxmoaQRiQlfILOnFsTQjjL81M0YTRmlJB0ilZvxvnIW9G5XovO424ArYTFVnVCYwchwGCsVVp4hb8b_zlGTbce7BZXjWmF_VLWYdFJHEb1FgutzcqK2mMzeDCtcufopBbaqYvxnaGPx4f3xXO0fH16WdwvI4gL5iNRV0IxYJwLGj5PZSELyNIsA6irOJG1lJxAlQOpKLCkIAKk4mIXSwJZEs_QzX5vb81mUM6XbeNA6dBNmcGVBWc8yTlNA3m7J8Ea56yqy942ocq2pKTceS2D13LvNcBX49qhapX8Q39FBuB6BERwpusgFBp34JI0tGDJgTND_9_BH-YkkWo</recordid><startdate>20110901</startdate><enddate>20110901</enddate><creator>Obeidat, Motaz A.</creator><creator>Luyckx, Valerie A.</creator><creator>Grebe, Scott O.</creator><creator>Jhangri, Gian S.</creator><creator>Maguire, Connor</creator><creator>Zavodni, Anna</creator><creator>Jackson, Stuart</creator><creator>Mueller, Thomas F.</creator><general>Oxford University Press</general><scope>IQODW</scope><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></search><sort><creationdate>20110901</creationdate><title>Post-transplant nuclear renal scans correlate with renal injury biomarkers and early allograft outcomes</title><author>Obeidat, Motaz A. ; Luyckx, Valerie A. ; Grebe, Scott O. ; Jhangri, Gian S. ; Maguire, Connor ; Zavodni, Anna ; Jackson, Stuart ; Mueller, Thomas F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-afbae2c299a19311d8d8c6566ccfb34dfdd90cb7c0b1c2480acde9a6ccfd0c643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Acute Kidney Injury - diagnosis</topic><topic>Acute Kidney Injury - etiology</topic><topic>Adult</topic><topic>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</topic><topic>Biological and medical sciences</topic><topic>Biomarkers - analysis</topic><topic>Biomarkers - metabolism</topic><topic>Delayed Graft Function - diagnosis</topic><topic>Delayed Graft Function - etiology</topic><topic>Emergency and intensive care: renal failure. Dialysis management</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Gene Expression Profiling</topic><topic>Graft Rejection - diagnosis</topic><topic>Graft Rejection - etiology</topic><topic>Humans</topic><topic>Intensive care medicine</topic><topic>Kidney - physiopathology</topic><topic>Kidney Transplantation</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Prognosis</topic><topic>RNA, Messenger - genetics</topic><topic>Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases</topic><topic>Surgery of the urinary system</topic><topic>Survival Rate</topic><topic>Transplantation, Homologous</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Obeidat, Motaz A.</creatorcontrib><creatorcontrib>Luyckx, Valerie A.</creatorcontrib><creatorcontrib>Grebe, Scott O.</creatorcontrib><creatorcontrib>Jhangri, Gian S.</creatorcontrib><creatorcontrib>Maguire, Connor</creatorcontrib><creatorcontrib>Zavodni, Anna</creatorcontrib><creatorcontrib>Jackson, Stuart</creatorcontrib><creatorcontrib>Mueller, Thomas F.</creatorcontrib><collection>Pascal-Francis</collection><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><jtitle>Nephrology, dialysis, transplantation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Obeidat, Motaz A.</au><au>Luyckx, Valerie A.</au><au>Grebe, Scott O.</au><au>Jhangri, Gian S.</au><au>Maguire, Connor</au><au>Zavodni, Anna</au><au>Jackson, Stuart</au><au>Mueller, Thomas F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Post-transplant nuclear renal scans correlate with renal injury biomarkers and early allograft outcomes</atitle><jtitle>Nephrology, dialysis, transplantation</jtitle><addtitle>Nephrol Dial Transplant</addtitle><date>2011-09-01</date><risdate>2011</risdate><volume>26</volume><issue>9</issue><spage>3038</spage><epage>3045</epage><pages>3038-3045</pages><issn>0931-0509</issn><eissn>1460-2385</eissn><coden>NDTREA</coden><abstract><![CDATA[Background. Clinical- and histopathology-based scores are limited predictors of allograft outcome. In addition, more objective markers of early transplant function are needed to identify and validate biomarkers and predictive scores. We evaluated existing scores and transcriptome biomarkers of kidney injury as predictors of early transplant function measured by renal scan.
Methods. Clinical, histopathologic and transcriptome data were collected in 143 consecutive kidney transplant recipients. A post-operative renal scan was performed within 48 h. Prediction scores for early outcomes were calculated.
Results. Patients were stratified into three groups by renal scan: normal, mild-to-moderate or severe dysfunction. Kidneys with severe dysfunction were more often from deceased donors (P < 0.001), had greater HLA antigen mismatches (P < 0.001), were transplanted into older recipients (P = 0.040), had lower urine output during the first 8 h (P < 0.001), higher Day 7 serum creatinine (P < 0.001) and higher incidence of delayed graft function (P < 0.001). Clinical- and pathology-based scores did not discriminate between scan groups. In contrast, the overall transcriptome (P < 0.001) and transcripts of preselected acute kidney injury (AKI) genes were significantly different between the groups, with kidney injury molecule 1 (P = 0.001) and neutrophil gelatinase-associated lipocalin (P = 0.002) being most highly expressed and genes associated with glutathione metabolism (GSTA1, 3 and 4) most down-regulated in kidneys with subsequent severe dysfunction.
Conclusions. Renal scans reflect early transplant function and allow for a more objective assessment of scores predicting early outcome and for identification of biomarkers. The study shows that transcript levels of AKI genes correlate better with renal scans than clinical- or histopathology-based scores.]]></abstract><cop>Oxford</cop><pub>Oxford University Press</pub><pmid>21321005</pmid><doi>10.1093/ndt/gfq814</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Nephrology, dialysis, transplantation, 2011-09, Vol.26 (9), p.3038-3045 |
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| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current); EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Acute Kidney Injury - diagnosis Acute Kidney Injury - etiology Adult Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy Biological and medical sciences Biomarkers - analysis Biomarkers - metabolism Delayed Graft Function - diagnosis Delayed Graft Function - etiology Emergency and intensive care: renal failure. Dialysis management Female Follow-Up Studies Gene Expression Profiling Graft Rejection - diagnosis Graft Rejection - etiology Humans Intensive care medicine Kidney - physiopathology Kidney Transplantation Magnetic Resonance Imaging Male Medical sciences Middle Aged Oligonucleotide Array Sequence Analysis Prognosis RNA, Messenger - genetics Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases Surgery of the urinary system Survival Rate Transplantation, Homologous |
| title | Post-transplant nuclear renal scans correlate with renal injury biomarkers and early allograft outcomes |
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