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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Veröffentlicht in:Transplantation 2016-04, Vol.100 (4), p.898-907
Hauptverfasser: 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
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container_end_page 907
container_issue 4
container_start_page 898
container_title Transplantation
container_volume 100
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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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><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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