Building a tissue-based molecular diagnostic system in heart transplant rejection: The heart Molecular Microscope Diagnostic (MMDx) System
The emergence of molecular systems offers opportunities for improving the assessment of rejection in heart transplant biopsy specimens. The present study developed a microarray-based system for assessing heart transplant endomyocardial biopsy (EMB) specimens. We analyzed 331 protocol or for-cause EM...
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Published in | The Journal of heart and lung transplantation Vol. 36; no. 11; pp. 1192 - 1200 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Elsevier Inc
01.11.2017
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Abstract | The emergence of molecular systems offers opportunities for improving the assessment of rejection in heart transplant biopsy specimens. The present study developed a microarray-based system for assessing heart transplant endomyocardial biopsy (EMB) specimens.
We analyzed 331 protocol or for-cause EMB specimens from 221 subjects in 3 centers (Edmonton, Bologna, and Paris). Unsupervised principal component analysis (PCA) and archetype analysis used rejection-associated transcripts (RATs) shown in kidney transplants to be associated with antibody-mediated rejection (ABMR) or T cell–mediated rejection (TCMR), or both. To compare EMB specimens to kidney biopsy specimens, rejection status in both was simplified to TCMR, ABMR, or no rejection.
The pattern of RAT expression was similar in EMB and kidney specimens, permitting use of RATs to assign scores and group (“cluster”) membership to each EMB, independent of histology. Three clusters emerged in EMB specimens, similar to kidney specimens: TCMR, ABMR, and no rejection. This permitted each EMB specimen to be given 3 scores and assigned to 1 cluster by its highest score. There was significant agreement between molecular phenotype—archetype scores or clusters—and both histologic diagnoses and donor-specific antibody. Area under curve estimates for predicting histologic TCMR, ABMR, and no rejection by molecular assessment were lower in EMB specimens than in kidney specimens, reflecting more uncertainty in EMB specimens, particularly in histologic diagnosis of TCMR.
Rejection-associated transcripts can be used to estimate the probability of TCMR and ABMR in heart transplant specimens, providing a new dimension to improve the accuracy of diagnoses and an independent system for recalibrating the histology guidelines. |
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AbstractList | The emergence of molecular systems offers opportunities for improving the assessment of rejection in heart transplant biopsy specimens. The present study developed a microarray-based system for assessing heart transplant endomyocardial biopsy (EMB) specimens.
We analyzed 331 protocol or for-cause EMB specimens from 221 subjects in 3 centers (Edmonton, Bologna, and Paris). Unsupervised principal component analysis (PCA) and archetype analysis used rejection-associated transcripts (RATs) shown in kidney transplants to be associated with antibody-mediated rejection (ABMR) or T cell-mediated rejection (TCMR), or both. To compare EMB specimens to kidney biopsy specimens, rejection status in both was simplified to TCMR, ABMR, or no rejection.
The pattern of RAT expression was similar in EMB and kidney specimens, permitting use of RATs to assign scores and group ("cluster") membership to each EMB, independent of histology. Three clusters emerged in EMB specimens, similar to kidney specimens: TCMR, ABMR, and no rejection. This permitted each EMB specimen to be given 3 scores and assigned to 1 cluster by its highest score. There was significant agreement between molecular phenotype-archetype scores or clusters-and both histologic diagnoses and donor-specific antibody. Area under curve estimates for predicting histologic TCMR, ABMR, and no rejection by molecular assessment were lower in EMB specimens than in kidney specimens, reflecting more uncertainty in EMB specimens, particularly in histologic diagnosis of TCMR.
Rejection-associated transcripts can be used to estimate the probability of TCMR and ABMR in heart transplant specimens, providing a new dimension to improve the accuracy of diagnoses and an independent system for recalibrating the histology guidelines. The emergence of molecular systems offers opportunities for improving the assessment of rejection in heart transplant biopsy specimens. The present study developed a microarray-based system for assessing heart transplant endomyocardial biopsy (EMB) specimens.BACKGROUNDThe emergence of molecular systems offers opportunities for improving the assessment of rejection in heart transplant biopsy specimens. The present study developed a microarray-based system for assessing heart transplant endomyocardial biopsy (EMB) specimens.We analyzed 331 protocol or for-cause EMB specimens from 221 subjects in 3 centers (Edmonton, Bologna, and Paris). Unsupervised principal component analysis (PCA) and archetype analysis used rejection-associated transcripts (RATs) shown in kidney transplants to be associated with antibody-mediated rejection (ABMR) or T cell-mediated rejection (TCMR), or both. To compare EMB specimens to kidney biopsy specimens, rejection status in both was simplified to TCMR, ABMR, or no rejection.METHODSWe analyzed 331 protocol or for-cause EMB specimens from 221 subjects in 3 centers (Edmonton, Bologna, and Paris). Unsupervised principal component analysis (PCA) and archetype analysis used rejection-associated transcripts (RATs) shown in kidney transplants to be associated with antibody-mediated rejection (ABMR) or T cell-mediated rejection (TCMR), or both. To compare EMB specimens to kidney biopsy specimens, rejection status in both was simplified to TCMR, ABMR, or no rejection.The pattern of RAT expression was similar in EMB and kidney specimens, permitting use of RATs to assign scores and group ("cluster") membership to each EMB, independent of histology. Three clusters emerged in EMB specimens, similar to kidney specimens: TCMR, ABMR, and no rejection. This permitted each EMB specimen to be given 3 scores and assigned to 1 cluster by its highest score. There was significant agreement between molecular phenotype-archetype scores or clusters-and both histologic diagnoses and donor-specific antibody. Area under curve estimates for predicting histologic TCMR, ABMR, and no rejection by molecular assessment were lower in EMB specimens than in kidney specimens, reflecting more uncertainty in EMB specimens, particularly in histologic diagnosis of TCMR.RESULTSThe pattern of RAT expression was similar in EMB and kidney specimens, permitting use of RATs to assign scores and group ("cluster") membership to each EMB, independent of histology. Three clusters emerged in EMB specimens, similar to kidney specimens: TCMR, ABMR, and no rejection. This permitted each EMB specimen to be given 3 scores and assigned to 1 cluster by its highest score. There was significant agreement between molecular phenotype-archetype scores or clusters-and both histologic diagnoses and donor-specific antibody. Area under curve estimates for predicting histologic TCMR, ABMR, and no rejection by molecular assessment were lower in EMB specimens than in kidney specimens, reflecting more uncertainty in EMB specimens, particularly in histologic diagnosis of TCMR.Rejection-associated transcripts can be used to estimate the probability of TCMR and ABMR in heart transplant specimens, providing a new dimension to improve the accuracy of diagnoses and an independent system for recalibrating the histology guidelines.CONCLUSIONSRejection-associated transcripts can be used to estimate the probability of TCMR and ABMR in heart transplant specimens, providing a new dimension to improve the accuracy of diagnoses and an independent system for recalibrating the histology guidelines. |
Author | Jouven, Xavier Loupy, Alexandre Van Huyen, Jean-Paul Duong Kim, Daniel H. Reeve, Jeff Potena, Luciano Halloran, Philip F. Bruneval, Patrick Leone, Ornella |
Author_xml | – sequence: 1 givenname: Philip F. surname: Halloran fullname: Halloran, Philip F. email: collegamentointernetphallora@ualberta.ca organization: Alberta Transplant Applied Genomics Centre, Edmonton, Alberta, Canada – sequence: 2 givenname: Luciano surname: Potena fullname: Potena, Luciano organization: Cardiovascular Department, University of Bologna, Bologna, Italy – sequence: 3 givenname: Jean-Paul Duong surname: Van Huyen fullname: Van Huyen, Jean-Paul Duong organization: Paris Translational Research Centre for Organ Transplantation, Institut National de la Santé et de la Recherche Médicale , UMR-S970, Paris, France – sequence: 4 givenname: Patrick surname: Bruneval fullname: Bruneval, Patrick organization: Paris Translational Research Centre for Organ Transplantation, Institut National de la Santé et de la Recherche Médicale , UMR-S970, Paris, France – sequence: 5 givenname: Ornella surname: Leone fullname: Leone, Ornella organization: Cardiovascular Department, University of Bologna, Bologna, Italy – sequence: 6 givenname: Daniel H. surname: Kim fullname: Kim, Daniel H. organization: Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada – sequence: 7 givenname: Xavier surname: Jouven fullname: Jouven, Xavier organization: Paris Translational Research Centre for Organ Transplantation, Institut National de la Santé et de la Recherche Médicale , UMR-S970, Paris, France – sequence: 8 givenname: Jeff surname: Reeve fullname: Reeve, Jeff organization: Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada – sequence: 9 givenname: Alexandre surname: Loupy fullname: Loupy, Alexandre organization: Paris Translational Research Centre for Organ Transplantation, Institut National de la Santé et de la Recherche Médicale , UMR-S970, Paris, France |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28662985$$D View this record in MEDLINE/PubMed |
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Copyright | 2017 International Society for the Heart and Lung Transplantation Copyright © 2017 International Society for the Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved. |
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Keywords | endomyocardial biopsy T cell–mediated rejection rejection-associated transcripts archetype analysis antibody-mediated rejection microarrays |
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Snippet | The emergence of molecular systems offers opportunities for improving the assessment of rejection in heart transplant biopsy specimens. The present study... |
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SubjectTerms | Antibodies - immunology antibody-mediated rejection archetype analysis Biopsy endomyocardial biopsy Graft Rejection - diagnosis Graft Rejection - immunology Graft Rejection - metabolism Heart Transplantation Humans microarrays Molecular Diagnostic Techniques - instrumentation Myocardium - metabolism Myocardium - pathology Pathology, Molecular - methods Prognosis Prospective Studies rejection-associated transcripts T cell–mediated rejection T-Lymphocytes - immunology |
Title | Building a tissue-based molecular diagnostic system in heart transplant rejection: The heart Molecular Microscope Diagnostic (MMDx) System |
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