Literature DB >> 34510731

Donor-derived cell-free DNA levels predict graft injury in liver transplant recipients.

Josh Levitsky1,2, Manoj Kandpal1,3, Kexin Guo1,3, Steve Kleiboeker4, Rohita Sinha4, Michael Abecassis5.   

Abstract

Donor-derived cell-free DNA (dd-cfDNA) has been evaluated as a rejection marker in organ transplantation. This study sought to assess the utility of dd-cfDNA to diagnose graft injury in liver transplant recipients (LTR) and as a predictive biomarker prior to different causes of graft dysfunction. Plasma from single and multicenter LTR cohorts was analyzed for dd-cfDNA. Phenotypes of treated biopsy-proven acute rejection (AR, N = 57), normal function (TX, N = 94), and acute dysfunction no rejection (ADNR; N = 68) were divided into training and test sets. In the training set, dd-cfDNA was significantly different between AR versus TX (AUC 0.95, 5.3% cutoff) and AR versus ADNR (AUC 0.71, 20.4% cutoff). Using these cutoffs in the test set, the accuracy and NPV were 87% and 100% (AR vs. TX) and 66.7% and 87.8% (AR vs. ADNR). Blood samples collected serially from LTR demonstrated incremental elevations in dd-cfDNA prior to the onset of graft dysfunction (AR > ADNR), but not in TX. Dd-cfDNA also decreased following treatment of rejection. In conclusion, the serial elevation of dd-cfDNA identifies pre-clinical graft injury in the context of normal liver function tests and is greatest in rejection. This biomarker may help detect early signs of graft injury and rejection to inform LTR management strategies.
© 2021 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  biomarker; clinical research/practice; immunobiology; liver allograft function/dysfunction; liver transplantation/hepatology; molecular biology: DNA; monitoring: immune; rejection: acute; translational research/science

Mesh:

Substances:

Year:  2021        PMID: 34510731     DOI: 10.1111/ajt.16835

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  3 in total

1.  Developing a new nomogram to predict early allograft dysfunction after liver transplantation: a nudge in the right direction.

Authors:  Gang Xu; Chen-Hao Jiang; Tao Lv; Jiu-Lin Song; Yong-Jie Zhou; Jian Yang; Li Jiang; Lyu-Nan Yan; Kui Luo; Jia-Yin Yang
Journal:  Hepatobiliary Surg Nutr       Date:  2022-06       Impact factor: 8.265

2.  New Approaches to the Diagnosis of Rejection and Prediction of Tolerance in Liver Transplantation.

Authors:  Timucin Taner; Julia Bruner; Juliet Emamaullee; Eliano Bonaccorsi-Riani; Ali Zarrinpar
Journal:  Transplantation       Date:  2022-05-16       Impact factor: 5.385

Review 3.  Immune checkpoint inhibitors for solid organ transplant recipients: clinical updates.

Authors:  Shun Kawashima; Kole Joachim; Maen Abdelrahim; Ala Abudayyeh; Kenar D Jhaveri; Naoka Murakami
Journal:  Korean J Transplant       Date:  2022-06-03
  3 in total

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