Identification of T Cell–Mediated Vascular Rejection After Kidney Transplantation by the Combined Measurement of 5 Specific MicroRNAs in Blood
BACKGROUNDMicroRNAs (miRNAs, miR) hold important roles in the posttranscriptional regulation of gene expression. Their function has been correlated with kidney disease, and they might represent a new class of biomarkers for frequent evaluation of renal graft status. We analyzed their potential in id...
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creator | Matz, Mareen Fabritius, Katharina Lorkowski, Christine Dürr, Michael Gaedeke, Jens Durek, Pawel Grün, Joachim R Goestemeyer, Anne Bachmann, Friederike Wu, Kaiyin Rudolph, Birgit Schmidt, Danilo Weber, Ulrike Haftmann, Claudia Unterwalder, Nadine Lachmann, Nils Radbruch, Andreas Neumayer, Hans-H Mashreghi, Mir-Farzin Budde, Klemens |
description | BACKGROUNDMicroRNAs (miRNAs, miR) hold important roles in the posttranscriptional regulation of gene expression. Their function has been correlated with kidney disease, and they might represent a new class of biomarkers for frequent evaluation of renal graft status. We analyzed their potential in identifying severe T cell–mediated vascular rejection (TCMVR) (Banff 4-II/III) in kidney transplanted patients.
METHODSMicroarray experiments and semiquantitative real-time reverse transcription polymerase chain reaction were performed with total RNA isolated from blood cells of kidney graft recipients. Initial microarray analysis revealed 23 differentially expressed miRNAs distinguishing patients with TCMVR from patients with stable grafts. From these, we validated and further determined the expression of 6 differentially expressed miRNAs and 2 control miRNAs in 161 samples from patients with T cell–mediated rejection (Banff 3-Borderline, Banff 4-I/II/III), Banff-2 antibody-mediated rejection, Banff-5 interstitial fibrosis/tubular atrophy, in samples from stable patients and in samples from patients with urinary tract infection using real-time reverse transcription polymerase chain reaction.
RESULTSExpression levels of all 6 candidate miRNAs were significantly downregulated in blood of TCMVR patients compared to the other groups and displayed high sensitivities and specificities for diagnosing TCMVR. The combination of 5 miRNAs, identified by an unbiased multivariate logistic regression followed by cross-validation, enhanced the sensitivity and specificity for the diagnosis of TCMVR after renal transplantation.
CONCLUSIONSThe combined measurement of miRNA-15B, miRNA-16, miRNA-103A, miRNA-106A, and miRNA-107 may help to better identify TCMVR after renal transplantation in a precise and clinically applicable way. |
doi_str_mv | 10.1097/TP.0000000000000873 |
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METHODSMicroarray experiments and semiquantitative real-time reverse transcription polymerase chain reaction were performed with total RNA isolated from blood cells of kidney graft recipients. Initial microarray analysis revealed 23 differentially expressed miRNAs distinguishing patients with TCMVR from patients with stable grafts. From these, we validated and further determined the expression of 6 differentially expressed miRNAs and 2 control miRNAs in 161 samples from patients with T cell–mediated rejection (Banff 3-Borderline, Banff 4-I/II/III), Banff-2 antibody-mediated rejection, Banff-5 interstitial fibrosis/tubular atrophy, in samples from stable patients and in samples from patients with urinary tract infection using real-time reverse transcription polymerase chain reaction.
RESULTSExpression levels of all 6 candidate miRNAs were significantly downregulated in blood of TCMVR patients compared to the other groups and displayed high sensitivities and specificities for diagnosing TCMVR. The combination of 5 miRNAs, identified by an unbiased multivariate logistic regression followed by cross-validation, enhanced the sensitivity and specificity for the diagnosis of TCMVR after renal transplantation.
CONCLUSIONSThe combined measurement of miRNA-15B, miRNA-16, miRNA-103A, miRNA-106A, and miRNA-107 may help to better identify TCMVR after renal transplantation in a precise and clinically applicable way.</description><identifier>ISSN: 0041-1337</identifier><identifier>EISSN: 1534-6080</identifier><identifier>DOI: 10.1097/TP.0000000000000873</identifier><identifier>PMID: 26444957</identifier><language>eng</language><publisher>United States: Copyright Wolters Kluwer Health, Inc. All rights reserved</publisher><subject>Area Under Curve ; Cluster Analysis ; Down-Regulation ; Gene Expression Profiling - methods ; Genetic Markers ; Graft Rejection - blood ; Graft Rejection - diagnosis ; Graft Rejection - genetics ; Graft Rejection - immunology ; Humans ; Immunity, Cellular - genetics ; Kidney Transplantation - adverse effects ; Logistic Models ; MicroRNAs - blood ; MicroRNAs - genetics ; Multivariate Analysis ; Oligonucleotide Array Sequence Analysis ; Predictive Value of Tests ; Real-Time Polymerase Chain Reaction ; Reproducibility of Results ; Reverse Transcriptase Polymerase Chain Reaction ; Risk Factors ; ROC Curve ; T-Lymphocytes - immunology ; Treatment Outcome</subject><ispartof>Transplantation, 2016-04, Vol.100 (4), p.898-907</ispartof><rights>Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3533-d72e8a98ce08fbd57de4219269cbdb96071c739c79d765bc18b4f3aa843a8caa3</citedby><cites>FETCH-LOGICAL-c3533-d72e8a98ce08fbd57de4219269cbdb96071c739c79d765bc18b4f3aa843a8caa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26444957$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Matz, Mareen</creatorcontrib><creatorcontrib>Fabritius, Katharina</creatorcontrib><creatorcontrib>Lorkowski, Christine</creatorcontrib><creatorcontrib>Dürr, Michael</creatorcontrib><creatorcontrib>Gaedeke, Jens</creatorcontrib><creatorcontrib>Durek, Pawel</creatorcontrib><creatorcontrib>Grün, Joachim R</creatorcontrib><creatorcontrib>Goestemeyer, Anne</creatorcontrib><creatorcontrib>Bachmann, Friederike</creatorcontrib><creatorcontrib>Wu, Kaiyin</creatorcontrib><creatorcontrib>Rudolph, Birgit</creatorcontrib><creatorcontrib>Schmidt, Danilo</creatorcontrib><creatorcontrib>Weber, Ulrike</creatorcontrib><creatorcontrib>Haftmann, Claudia</creatorcontrib><creatorcontrib>Unterwalder, Nadine</creatorcontrib><creatorcontrib>Lachmann, Nils</creatorcontrib><creatorcontrib>Radbruch, Andreas</creatorcontrib><creatorcontrib>Neumayer, Hans-H</creatorcontrib><creatorcontrib>Mashreghi, Mir-Farzin</creatorcontrib><creatorcontrib>Budde, Klemens</creatorcontrib><title>Identification of T Cell–Mediated Vascular Rejection After Kidney Transplantation by the Combined Measurement of 5 Specific MicroRNAs in Blood</title><title>Transplantation</title><addtitle>Transplantation</addtitle><description>BACKGROUNDMicroRNAs (miRNAs, miR) hold important roles in the posttranscriptional regulation of gene expression. Their function has been correlated with kidney disease, and they might represent a new class of biomarkers for frequent evaluation of renal graft status. We analyzed their potential in identifying severe T cell–mediated vascular rejection (TCMVR) (Banff 4-II/III) in kidney transplanted patients.
METHODSMicroarray experiments and semiquantitative real-time reverse transcription polymerase chain reaction were performed with total RNA isolated from blood cells of kidney graft recipients. Initial microarray analysis revealed 23 differentially expressed miRNAs distinguishing patients with TCMVR from patients with stable grafts. From these, we validated and further determined the expression of 6 differentially expressed miRNAs and 2 control miRNAs in 161 samples from patients with T cell–mediated rejection (Banff 3-Borderline, Banff 4-I/II/III), Banff-2 antibody-mediated rejection, Banff-5 interstitial fibrosis/tubular atrophy, in samples from stable patients and in samples from patients with urinary tract infection using real-time reverse transcription polymerase chain reaction.
RESULTSExpression levels of all 6 candidate miRNAs were significantly downregulated in blood of TCMVR patients compared to the other groups and displayed high sensitivities and specificities for diagnosing TCMVR. The combination of 5 miRNAs, identified by an unbiased multivariate logistic regression followed by cross-validation, enhanced the sensitivity and specificity for the diagnosis of TCMVR after renal transplantation.
CONCLUSIONSThe combined measurement of miRNA-15B, miRNA-16, miRNA-103A, miRNA-106A, and miRNA-107 may help to better identify TCMVR after renal transplantation in a precise and clinically applicable way.</description><subject>Area Under Curve</subject><subject>Cluster Analysis</subject><subject>Down-Regulation</subject><subject>Gene Expression Profiling - methods</subject><subject>Genetic Markers</subject><subject>Graft Rejection - blood</subject><subject>Graft Rejection - diagnosis</subject><subject>Graft Rejection - genetics</subject><subject>Graft Rejection - immunology</subject><subject>Humans</subject><subject>Immunity, Cellular - genetics</subject><subject>Kidney Transplantation - adverse effects</subject><subject>Logistic Models</subject><subject>MicroRNAs - blood</subject><subject>MicroRNAs - genetics</subject><subject>Multivariate Analysis</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Predictive Value of Tests</subject><subject>Real-Time Polymerase Chain Reaction</subject><subject>Reproducibility of Results</subject><subject>Reverse Transcriptase Polymerase Chain Reaction</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>T-Lymphocytes - immunology</subject><subject>Treatment Outcome</subject><issn>0041-1337</issn><issn>1534-6080</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1O3DAUhS3UqkxpnwAJedlNwI6d2FlORy1FMBTRtNvIsW80pk482InQ7HgEJN6wT1JPhyLURe_mbr5zzv1B6JCSY0oqcVJfHZOXJQXbQzNaMJ6VRJJXaEYIpxllTOyjtzHeJKZgQrxB-3nJOa8KMUMPZwaG0XZWq9H6AfsO13gBzv26f1yCsWoEg3-oqCenAr6GG9B_uHk3QsDn1gywwXVQQ1w7NYw7k3aDxxXghe9bOyT9ElScAvQpaRtQ4G9r0NtMvLQ6-OvLecR2wB-d9-Ydet0pF-H9Uz9A3z9_qhdfsouvp2eL-UWmWcFYZkQOUlVSA5FdawphgOe0ystKt6atSiKoFqzSojKiLFpNZcs7ppTkTEmtFDtAH3a-6-BvJ4hj09uo0-JqAD_FhgpRMJlzUSaU7dA0a4wBumYdbK_CpqGk2b6iqa-af1-RVEdPAVPbg3nW_L19AsQOuPMuHTP-dNMdhGYFyo2r_1r_BvSEl0k</recordid><startdate>201604</startdate><enddate>201604</enddate><creator>Matz, Mareen</creator><creator>Fabritius, Katharina</creator><creator>Lorkowski, Christine</creator><creator>Dürr, Michael</creator><creator>Gaedeke, Jens</creator><creator>Durek, Pawel</creator><creator>Grün, Joachim R</creator><creator>Goestemeyer, Anne</creator><creator>Bachmann, Friederike</creator><creator>Wu, Kaiyin</creator><creator>Rudolph, Birgit</creator><creator>Schmidt, Danilo</creator><creator>Weber, Ulrike</creator><creator>Haftmann, Claudia</creator><creator>Unterwalder, Nadine</creator><creator>Lachmann, Nils</creator><creator>Radbruch, Andreas</creator><creator>Neumayer, Hans-H</creator><creator>Mashreghi, Mir-Farzin</creator><creator>Budde, Klemens</creator><general>Copyright Wolters Kluwer Health, Inc. All rights reserved</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></search><sort><creationdate>201604</creationdate><title>Identification of T Cell–Mediated Vascular Rejection After Kidney Transplantation by the Combined Measurement of 5 Specific MicroRNAs in Blood</title><author>Matz, Mareen ; Fabritius, Katharina ; Lorkowski, Christine ; Dürr, Michael ; Gaedeke, Jens ; Durek, Pawel ; Grün, Joachim R ; Goestemeyer, Anne ; Bachmann, Friederike ; Wu, Kaiyin ; Rudolph, Birgit ; Schmidt, Danilo ; Weber, Ulrike ; Haftmann, Claudia ; Unterwalder, Nadine ; Lachmann, Nils ; Radbruch, Andreas ; Neumayer, Hans-H ; Mashreghi, Mir-Farzin ; Budde, Klemens</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3533-d72e8a98ce08fbd57de4219269cbdb96071c739c79d765bc18b4f3aa843a8caa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Area Under Curve</topic><topic>Cluster Analysis</topic><topic>Down-Regulation</topic><topic>Gene Expression Profiling - methods</topic><topic>Genetic Markers</topic><topic>Graft Rejection - blood</topic><topic>Graft Rejection - diagnosis</topic><topic>Graft Rejection - genetics</topic><topic>Graft Rejection - immunology</topic><topic>Humans</topic><topic>Immunity, Cellular - genetics</topic><topic>Kidney Transplantation - adverse effects</topic><topic>Logistic Models</topic><topic>MicroRNAs - blood</topic><topic>MicroRNAs - genetics</topic><topic>Multivariate Analysis</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Predictive Value of Tests</topic><topic>Real-Time Polymerase Chain Reaction</topic><topic>Reproducibility of Results</topic><topic>Reverse Transcriptase Polymerase Chain Reaction</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>T-Lymphocytes - immunology</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Matz, Mareen</creatorcontrib><creatorcontrib>Fabritius, Katharina</creatorcontrib><creatorcontrib>Lorkowski, Christine</creatorcontrib><creatorcontrib>Dürr, Michael</creatorcontrib><creatorcontrib>Gaedeke, Jens</creatorcontrib><creatorcontrib>Durek, Pawel</creatorcontrib><creatorcontrib>Grün, Joachim R</creatorcontrib><creatorcontrib>Goestemeyer, Anne</creatorcontrib><creatorcontrib>Bachmann, Friederike</creatorcontrib><creatorcontrib>Wu, Kaiyin</creatorcontrib><creatorcontrib>Rudolph, Birgit</creatorcontrib><creatorcontrib>Schmidt, Danilo</creatorcontrib><creatorcontrib>Weber, Ulrike</creatorcontrib><creatorcontrib>Haftmann, Claudia</creatorcontrib><creatorcontrib>Unterwalder, Nadine</creatorcontrib><creatorcontrib>Lachmann, Nils</creatorcontrib><creatorcontrib>Radbruch, Andreas</creatorcontrib><creatorcontrib>Neumayer, Hans-H</creatorcontrib><creatorcontrib>Mashreghi, Mir-Farzin</creatorcontrib><creatorcontrib>Budde, Klemens</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><jtitle>Transplantation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Matz, Mareen</au><au>Fabritius, Katharina</au><au>Lorkowski, Christine</au><au>Dürr, Michael</au><au>Gaedeke, Jens</au><au>Durek, Pawel</au><au>Grün, Joachim R</au><au>Goestemeyer, Anne</au><au>Bachmann, Friederike</au><au>Wu, Kaiyin</au><au>Rudolph, Birgit</au><au>Schmidt, Danilo</au><au>Weber, Ulrike</au><au>Haftmann, Claudia</au><au>Unterwalder, Nadine</au><au>Lachmann, Nils</au><au>Radbruch, Andreas</au><au>Neumayer, Hans-H</au><au>Mashreghi, Mir-Farzin</au><au>Budde, Klemens</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of T Cell–Mediated Vascular Rejection After Kidney Transplantation by the Combined Measurement of 5 Specific MicroRNAs in Blood</atitle><jtitle>Transplantation</jtitle><addtitle>Transplantation</addtitle><date>2016-04</date><risdate>2016</risdate><volume>100</volume><issue>4</issue><spage>898</spage><epage>907</epage><pages>898-907</pages><issn>0041-1337</issn><eissn>1534-6080</eissn><abstract>BACKGROUNDMicroRNAs (miRNAs, miR) hold important roles in the posttranscriptional regulation of gene expression. Their function has been correlated with kidney disease, and they might represent a new class of biomarkers for frequent evaluation of renal graft status. We analyzed their potential in identifying severe T cell–mediated vascular rejection (TCMVR) (Banff 4-II/III) in kidney transplanted patients.
METHODSMicroarray experiments and semiquantitative real-time reverse transcription polymerase chain reaction were performed with total RNA isolated from blood cells of kidney graft recipients. Initial microarray analysis revealed 23 differentially expressed miRNAs distinguishing patients with TCMVR from patients with stable grafts. From these, we validated and further determined the expression of 6 differentially expressed miRNAs and 2 control miRNAs in 161 samples from patients with T cell–mediated rejection (Banff 3-Borderline, Banff 4-I/II/III), Banff-2 antibody-mediated rejection, Banff-5 interstitial fibrosis/tubular atrophy, in samples from stable patients and in samples from patients with urinary tract infection using real-time reverse transcription polymerase chain reaction.
RESULTSExpression levels of all 6 candidate miRNAs were significantly downregulated in blood of TCMVR patients compared to the other groups and displayed high sensitivities and specificities for diagnosing TCMVR. The combination of 5 miRNAs, identified by an unbiased multivariate logistic regression followed by cross-validation, enhanced the sensitivity and specificity for the diagnosis of TCMVR after renal transplantation.
CONCLUSIONSThe combined measurement of miRNA-15B, miRNA-16, miRNA-103A, miRNA-106A, and miRNA-107 may help to better identify TCMVR after renal transplantation in a precise and clinically applicable way.</abstract><cop>United States</cop><pub>Copyright Wolters Kluwer Health, Inc. All rights reserved</pub><pmid>26444957</pmid><doi>10.1097/TP.0000000000000873</doi><tpages>10</tpages></addata></record> |
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subjects | Area Under Curve Cluster Analysis Down-Regulation Gene Expression Profiling - methods Genetic Markers Graft Rejection - blood Graft Rejection - diagnosis Graft Rejection - genetics Graft Rejection - immunology Humans Immunity, Cellular - genetics Kidney Transplantation - adverse effects Logistic Models MicroRNAs - blood MicroRNAs - genetics Multivariate Analysis Oligonucleotide Array Sequence Analysis Predictive Value of Tests Real-Time Polymerase Chain Reaction Reproducibility of Results Reverse Transcriptase Polymerase Chain Reaction Risk Factors ROC Curve T-Lymphocytes - immunology Treatment Outcome |
title | Identification of T Cell–Mediated Vascular Rejection After Kidney Transplantation by the Combined Measurement of 5 Specific MicroRNAs in Blood |
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