We provide a comprehensive genomic and epigenomic map of the more than 500,000 endogenous retroviruses (ERVs) and fragments that populate the intergenic regions of the human genome. The repressive epigenetic marks associated with the ERVs, particularly long terminal repeats (LTRs), show a remarkable switch in silencing mechanisms, depending on the evolutionary age of the LTRs. Young LTRs tend to be CpG rich and are mainly suppressed by DNA methylation, whereas intermediate age LTRs are associated predominantly with histone modifications, particularly histone H3 lysine 9 (H3K9) methylation. Young LTRs can be reactivated by treatment with the DNA methylation inhibitor 5-aza-2'-deoxycytidine (5-aza-CdR) alone, but their level of expression is much increased by 5-aza-CdR treatment plus knockdown of one of several H3K9 methyltransferases or of the H3K27 methyltransferase EZH2. The removal of cytosine methylation led to rapid, widespread increases in H3K9me3 in the LTRs. Intermediate age LTRs had lower CpG densities and were not up-regulated by 5-aza-CdR treatment, but they were sensitive to knockdown of H3K9 methyltransferases. Unlike the situation in embryonic stem cells, the polycomb repressive complex (PRC2) has a minor role in LTR suppression by itself and is only a player after removal of cytosine methylation in the analyzed cancer cell line. Up-regulation of LTRs and induction of "viral mimicry" is rapidly becoming of interest for predicting cancer patient response to epigenetic therapies. Understanding the mechanism for LTR suppression is of major importance in order to improve patient treatment strategies.
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http://dx.doi.org/10.1101/gr.234229.118 | DOI Listing |
J Clin Pathol
January 2025
Department of Pathology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, USA.
Aims: In cystic fibrosis lung transplant recipients (LTRs), graft dysfunction due to acute infections, rejection or chronic lung allograft dysfunction (CLAD) is difficult to distinguish. Characterisation of the airway inflammatory milieu could help detect and prevent graft dysfunction. We speculated that an eosinophil or neutrophil-rich milieu is associated with higher risk of CLAD.
View Article and Find Full Text PDFLiver Transpl
October 2024
Department of Epidemiology and Biostatistics, CUNY Graduate School of Public Health and Health Policy, New York, New York, USA.
Posttransplant diabetes mellitus (PTDM) is associated with significant morbidity and mortality in liver transplant recipients (LTRs). We used the Organ Procurement and Transplantation Network (OPTN) database to compare the incidence of developing PTDM across the United States and develop a risk prediction model for new-onset PTDM using OPTN region as well as donor-related, recipient-related, and transplant-related factors. All US adult, primary, deceased donor, LTRs between January 1, 2007, and December 31, 2016, with no prior history of diabetes noted, were identified.
View Article and Find Full Text PDFDig Dis Sci
December 2024
Ajmera Transplant Program, Toronto General Hospital, University Health Network, MaRS 9-9055, 585 University Avenue, Toronto, ON, M5G 2N2, Canada.
Objective: Recent U.S. registry publications showed no improvement in long-term survival post-liver transplant in the last three decades.
View Article and Find Full Text PDFFr J Urol
December 2024
Departments of Urology and Renal Transplantation, Nantes University Hospital Center, Nantes, France.
Introduction: Prostate cancer incidence in immunosuppressed transplant recipients increases as life expectancy improves in this population. However, the management of treatments and immunosuppressive (IS) regimens for solid organ transplant recipients diagnosed with prostate cancer remains poorly defined. Therefore, we conducted a multicentric study to investigate these parameters more thoroughly.
View Article and Find Full Text PDFTransplant Direct
December 2024
Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Background: We compared the performance of the Liver Transplant Risk Score (LTRS) with the survival outcomes following liver transplantation (SOFT), pretransplant SOFT (P-SOFT), Balance of Risk Score (BAR), donor-age and model for end-stage liver disease (D-MELD), and Organ Procurement and Transplantation Network Risk Prediction Score (ORPS) for the prediction of 90-d mortality, 1-y mortality, and 5-y survival after first-time liver transplantation (LT).
Methods: A retrospective analysis of the Scientific Registry of Transplant Recipients was conducted using data collected between 2002 and 2021.
Results: A total of 82 696 adult LT recipients with a median age of 56 y were included.
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