scholarly journals Identification of Cell‐Free DNA Methylation Patterns Unique to the Human Left Ventricle as a Potential Indicator of Acute Cellular Rejection

2021 ◽  
Author(s):  
Sabrina Pattar ◽  
Mohammad Aleinati ◽  
Fatima Iqbal ◽  
Aiswarya Madhu ◽  
Samuel Blais ◽  
...  
2021 ◽  
Author(s):  
Sabrina Pattar ◽  
Mohammad Aleinati ◽  
Fatima Iqbal ◽  
Aiswarya Madhu ◽  
Samuel Blais ◽  
...  

AbstractIncreased levels of donor-derived cell-free DNA (dd-cfDNA) in recipient plasma have been associated with rejection after transplantation. DNA sequence differences have been used to distinguish between donor and recipient but epigenetic differences could also potentially identify dd-cfDNA. This pilot study aimed to identify ventricle-specific differentially methylated regions of DNA (DMRs) that could be detected in cfDNA. We identified 24 ventricle-specific DMRs and chose two for further study, one on chromosome 9 and one on chromosome 12. The specificity of both DMRs for the left ventricle was confirmed using genomic DNA from multiple human tissues. Serial matched samples of myocardium (n=33) and plasma (n=24) were collected from stable adult heart transplant recipients undergoing routine endomyocardial biopsy for rejection surveillance. Plasma DMR levels increased with biopsy-proven rejection grade for individual patients. Mean cellular apoptosis in biopsy samples increased significantly with rejection severity (2.4%, 4.4% and 10.0% for ACR 0R, 1R and 2R, respectively) but did not show a consistent relationship with DMR levels. We identified multiple DNA methylation patterns unique to the human ventricle and conclude that epigenetic differences in cfDNA populations represent a promising alternative strategy for the non-invasive detection of rejection.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Wardah Mahmood ◽  
Lars Erichsen ◽  
Pauline Ott ◽  
Wolfgang A. Schulz ◽  
Johannes C. Fischer ◽  
...  

AbstractLINE-1 hypomethylation of cell-free DNA has been described as an epigenetic biomarker of human aging. However, in the past, insufficient differentiation between cellular and cell-free DNA may have confounded analyses of genome-wide methylation levels in aging cells. Here we present a new methodological strategy to properly and unambiguously extract DNA methylation patterns of repetitive, as well as single genetic loci from pure cell-free DNA from peripheral blood. Since this nucleic acid fraction originates mainly in apoptotic, senescent and cancerous cells, this approach allows efficient analysis of aged and cancerous cell-specific DNA methylation patterns for diagnostic and prognostic purposes. Using this methodology, we observe a significant age-associated erosion of LINE-1 methylation in cfDNA suggesting that the threshold of hypomethylation sufficient for relevant LINE-1 activation and consequential harmful retrotransposition might be reached at higher age. We speculate that this process might contribute to making aging the main risk factor for many cancers.


2020 ◽  
Vol 6 (10) ◽  
pp. e608
Author(s):  
David Sayah ◽  
S. Samuel Weigt ◽  
Allison Ramsey ◽  
Abbas Ardehali ◽  
Jeff Golden ◽  
...  

2020 ◽  
pp. 00462-2020
Author(s):  
KK Khush ◽  
I De Vlaminick ◽  
H Luikart ◽  
DJ Ross ◽  
M Nicolls

Surveillance after lung transplantation (LT) is critical to the detection of acute cellular rejection (ACR) and prevention of Chronic Lung Allograft Dysfunction (CLAD). Therefore, we measured donor-derived cell-free DNA (dd-cfDNA) implementing a clinical-grade, next generation targeted sequencing assay in 107 plasma samples from 38 unique LT recipients with diagnostic cohorts classified as: (1) Biopsy-confirmed or treated acute cellular rejection (ACR), (2) antibody-mediated rejection (AMR), (3) Obstructive chronic lung allograft dysfunction (CLAD), (4) allograft infection (INFXN), and (5) Stable healthy allografts (STABLE). Our principal findings: (1) dd-cfDNA level was elevated in ACR (median 0.91%; IQR: 0.39–2.07%), CLAD (2.06%; IQR: 0.57–3.67%), and an aggregated cohort of rejection encompassing allograft injury (1.06%; IQR :0.38–2.51%), compared with the STABLE cohort (0.38%; IQR: 0.23–0.87%) (p=0.02). (2) dd-cfDNA level with AMR was elevated (1.34%; IQR: 0.34–2.40%) compared to STABLE although did not reach statistical significance (p=0.07) due to limitations in sample size. (3) No difference in dd-cfDNA for allograft INFXN (0.39%; IQR: 0.18–0.67%) versus STABLE, that may relate to differences in “tissue injury” with spectrum of bronchial colonisation versus invasive infection. (4) No difference for dd-cfDNA in unilateral versus bilateral LT. (5) “Optimal Threshold” for dd-cfDNA for aggregated rejection events representing allograft injury was determined as 0.85%, with Sensitivity=55.6%, Specificity=75.8%, Positive Predictive Value (PPV)=43.3%, and Negative Predictive Value (NPV)=83.6%. Measurement of plasma dd-cfDNA may be a clinically useful tool for the assessment of lung allograft health and surveillance for “tissue injury” with a spectrum of rejection.


2021 ◽  
pp. clincanres.1982.2021
Author(s):  
Raju Kandimalla ◽  
Jianfeng Xu ◽  
Alexander Link ◽  
Takatoshi Matsuyama ◽  
Kensuke Yamamura ◽  
...  

2018 ◽  
Author(s):  
Carmen Jeronimo ◽  
Sandra Nunes ◽  
Catarina Moreira-Barbosa ◽  
Sofia Salta ◽  
Susana Palma de Sousa ◽  
...  

2021 ◽  
Vol 429 ◽  
pp. 119143
Author(s):  
Ricardo Martins-Ferreira ◽  
Bárbara Guerra Leal ◽  
João Chaves ◽  
Carlos Fabregat ◽  
Tianlu Li ◽  
...  

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