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Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection: The GET-Study
AIMS: Serial invasive endomyocardial biopsies (EMB) remain the gold standard for acute cellular rejection (ACR) diagnosis. However histological grading has several limitations. We aimed to explore the value of myocardial Gene Expression Profiling (GEP) for diagnosing and identifying predictive bioma...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127573/ https://www.ncbi.nlm.nih.gov/pubmed/27898719 http://dx.doi.org/10.1371/journal.pone.0167213 |
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author | Bodez, Diane Hocini, Hakim Tchitchek, Nicolas Tisserand, Pascaline Benhaiem, Nicole Barau, Caroline Kharoubi, Mounira Guellich, Aziz Guendouz, Soulef Radu, Costin Couetil, Jean-Paul Ghaleh, Bijan Dubois-Randé, Jean-Luc Teiger, Emmanuel Hittinger, Luc Levy, Yves Damy, Thibaud |
author_facet | Bodez, Diane Hocini, Hakim Tchitchek, Nicolas Tisserand, Pascaline Benhaiem, Nicole Barau, Caroline Kharoubi, Mounira Guellich, Aziz Guendouz, Soulef Radu, Costin Couetil, Jean-Paul Ghaleh, Bijan Dubois-Randé, Jean-Luc Teiger, Emmanuel Hittinger, Luc Levy, Yves Damy, Thibaud |
author_sort | Bodez, Diane |
collection | PubMed |
description | AIMS: Serial invasive endomyocardial biopsies (EMB) remain the gold standard for acute cellular rejection (ACR) diagnosis. However histological grading has several limitations. We aimed to explore the value of myocardial Gene Expression Profiling (GEP) for diagnosing and identifying predictive biomarkers of ACR. METHODS: A case-control study nested within a retrospective heart transplant patients cohort included 126 patients with median (IQR) age 50 (41–57) years and 111 (88%) males. Among 1157 EMB performed, 467 were eligible (i.e, corresponding to either ISHLT grade 0 or ≥3A), among which 36 were selected for GEP according to the grading: 0 (C(ISHLT), n = 13); rejection ≥3A (R(ISHLT), n = 13); 0 one month before ACR (BR(ISHLT), n = 10). RESULTS: We found 294 genes differentially expressed between C(ISHLT) and R(ISHLT), mainly involved in immune activation, and inflammation. Hierarchical clustering showed a clear segregation of C(ISHLT) and R(ISHLT) groups and heterogeneity of GEP within R(ISHLT). All EMB presented immune activation, but some R(ISHLT) EMB were strongly subject to inflammation, whereas others, closer to C(ISHLT), were characterized by structural modifications with lower inflammation level. We identified 15 probes significantly different between BR(ISHLT) and C(ISHLT), including the gene of the muscular protein TTN. This result suggests that structural alterations precede inflammation in ACR. Linear Discriminant Analysis based on these 15 probes was able to identify the histological status of every 36 samples. CONCLUSION: Myocardial GEP is a helpful method to accurately diagnose ACR, and predicts rejection one month before its histological occurrence. These results should be considered in cardiac allograft recipients’ care. |
format | Online Article Text |
id | pubmed-5127573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-51275732016-12-15 Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection: The GET-Study Bodez, Diane Hocini, Hakim Tchitchek, Nicolas Tisserand, Pascaline Benhaiem, Nicole Barau, Caroline Kharoubi, Mounira Guellich, Aziz Guendouz, Soulef Radu, Costin Couetil, Jean-Paul Ghaleh, Bijan Dubois-Randé, Jean-Luc Teiger, Emmanuel Hittinger, Luc Levy, Yves Damy, Thibaud PLoS One Research Article AIMS: Serial invasive endomyocardial biopsies (EMB) remain the gold standard for acute cellular rejection (ACR) diagnosis. However histological grading has several limitations. We aimed to explore the value of myocardial Gene Expression Profiling (GEP) for diagnosing and identifying predictive biomarkers of ACR. METHODS: A case-control study nested within a retrospective heart transplant patients cohort included 126 patients with median (IQR) age 50 (41–57) years and 111 (88%) males. Among 1157 EMB performed, 467 were eligible (i.e, corresponding to either ISHLT grade 0 or ≥3A), among which 36 were selected for GEP according to the grading: 0 (C(ISHLT), n = 13); rejection ≥3A (R(ISHLT), n = 13); 0 one month before ACR (BR(ISHLT), n = 10). RESULTS: We found 294 genes differentially expressed between C(ISHLT) and R(ISHLT), mainly involved in immune activation, and inflammation. Hierarchical clustering showed a clear segregation of C(ISHLT) and R(ISHLT) groups and heterogeneity of GEP within R(ISHLT). All EMB presented immune activation, but some R(ISHLT) EMB were strongly subject to inflammation, whereas others, closer to C(ISHLT), were characterized by structural modifications with lower inflammation level. We identified 15 probes significantly different between BR(ISHLT) and C(ISHLT), including the gene of the muscular protein TTN. This result suggests that structural alterations precede inflammation in ACR. Linear Discriminant Analysis based on these 15 probes was able to identify the histological status of every 36 samples. CONCLUSION: Myocardial GEP is a helpful method to accurately diagnose ACR, and predicts rejection one month before its histological occurrence. These results should be considered in cardiac allograft recipients’ care. Public Library of Science 2016-11-29 /pmc/articles/PMC5127573/ /pubmed/27898719 http://dx.doi.org/10.1371/journal.pone.0167213 Text en © 2016 Bodez et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bodez, Diane Hocini, Hakim Tchitchek, Nicolas Tisserand, Pascaline Benhaiem, Nicole Barau, Caroline Kharoubi, Mounira Guellich, Aziz Guendouz, Soulef Radu, Costin Couetil, Jean-Paul Ghaleh, Bijan Dubois-Randé, Jean-Luc Teiger, Emmanuel Hittinger, Luc Levy, Yves Damy, Thibaud Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection: The GET-Study |
title | Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection: The GET-Study |
title_full | Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection: The GET-Study |
title_fullStr | Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection: The GET-Study |
title_full_unstemmed | Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection: The GET-Study |
title_short | Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection: The GET-Study |
title_sort | myocardial gene expression profiling to predict and identify cardiac allograft acute cellular rejection: the get-study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127573/ https://www.ncbi.nlm.nih.gov/pubmed/27898719 http://dx.doi.org/10.1371/journal.pone.0167213 |
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