Journal
TRANSPLANTATION REVIEWS
Volume 35, Issue 1, Pages -Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.trre.2020.100590
Keywords
Heart transplantation; Genomics; Transcriptomics; Allograft rejection; Omics-based biomarkers
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Heart transplantation is the preferred treatment for patients with end-stage heart failure, but allograft rejection remains a major complication post-transplantation. Recent advancements in science and technology have enabled the integration of genomic and other omics-based biomarkers into clinical practice. Researchers are investigating blood gene expression profiling and donor-derived cell-free DNA as potential markers for early detection of allograft rejection.
For most patients with end-stage heart failure, heart transplantation is the treatment of choice. Allograft rejection is one of the major post-transplantation complications affecting graft outcome and survival. Recent advancements in science and technology offer an opportunity to integrate genomic and other omics-based biomarkers into clinical practice, facilitating noninvasive evaluation of allograft for diagnostic and prognostic purposes. Omics, including gene expression profiling (GEP) of blood immune cell components and donor-derived cell-free DNA (dd-cfDNA) are of special interest to researchers. Several studies have investigated levels of ddcfDNA and miroRNAs in blood as potential markers for early detection of allograft rejection. One of the achievements in the field of transcriptomics is AlloMap, GEP of peripheral blood mononuclear cells (PBMC), which can identify 11 differentially expressed genes and help with detection of moderate and severe acute cellular rejection in stable heart transplant recipients. In recent years, the utilization of GEP of PBMC for identifying differentially expressed genes to diagnose acute antibody-mediated rejection and cardiac allograft vasculopathy has yielded promising results. Advancements in the field of metabolomics and proteomics as well as their potential implications have been further discussed in this paper. (c) 2020 Elsevier Inc. All rights reserved.
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