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An Algorithm Measuring Donor Cell-Free DNA in Plasma of Cellular and Solid Organ Transplant Recipients That Does Not Require Donor or Recipient Genotyping

Cell-free DNA (cfDNA) has significant potential in the diagnosis and monitoring of clinical conditions. However, accurately and easily distinguishing the relative proportion of DNA molecules in a mixture derived from two different sources (i.e., donor and recipient tissues after transplantation) is...

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Autores principales: Gordon, Paul M. K., Khan, Aneal, Sajid, Umair, Chang, Nicholas, Suresh, Varun, Dimnik, Leo, Lamont, Ryan E., Parboosingh, Jillian S., Martin, Steven R., Pon, Richard T., Weatherhead, Jene, Wegener, Shelly, Isaac, Debra, Greenway, Steven C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031701/
https://www.ncbi.nlm.nih.gov/pubmed/27713880
http://dx.doi.org/10.3389/fcvm.2016.00033
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author Gordon, Paul M. K.
Khan, Aneal
Sajid, Umair
Chang, Nicholas
Suresh, Varun
Dimnik, Leo
Lamont, Ryan E.
Parboosingh, Jillian S.
Martin, Steven R.
Pon, Richard T.
Weatherhead, Jene
Wegener, Shelly
Isaac, Debra
Greenway, Steven C.
author_facet Gordon, Paul M. K.
Khan, Aneal
Sajid, Umair
Chang, Nicholas
Suresh, Varun
Dimnik, Leo
Lamont, Ryan E.
Parboosingh, Jillian S.
Martin, Steven R.
Pon, Richard T.
Weatherhead, Jene
Wegener, Shelly
Isaac, Debra
Greenway, Steven C.
author_sort Gordon, Paul M. K.
collection PubMed
description Cell-free DNA (cfDNA) has significant potential in the diagnosis and monitoring of clinical conditions. However, accurately and easily distinguishing the relative proportion of DNA molecules in a mixture derived from two different sources (i.e., donor and recipient tissues after transplantation) is challenging. In human cellular transplantation, there is currently no useable method to detect in vivo engraftment, and blood-based non-invasive tests for allograft rejection in solid organ transplantation are either non-specific or absent. Elevated levels of donor cfDNA have been shown to correlate with solid organ rejection, but complex methodology limits implementation of this promising biomarker. We describe a cost-effective method to quantify donor cfDNA in recipient plasma using a panel of high-frequency single nucleotide polymorphisms, next-generation (semiconductor) sequencing, and a novel mixture model algorithm. In vitro, our method accurately and rapidly determined donor:recipient DNA admixture. For in vivo testing, donor cfDNA was serially quantified in an infant with a urea cycle disorder after receiving six daily infusions of donor liver cells. Donor cfDNA isolated from 1 to 2 ml of recipient plasma was detected as late as 24 weeks after infusion suggesting engraftment. The percentage of circulating donor cfDNA was also assessed in pediatric and adult heart transplant recipients undergoing routine endomyocardial biopsy with levels observed to be stable over time and generally measuring <1% in cases without moderate or severe cellular rejection. Unlike existing non-invasive methods used to define the proportion of donor cfDNA in solid organ transplant patients, our assay does not require sex mismatch, donor genotyping, or whole-genome sequencing and potentially has broad application to detect cellular engraftment or allograft injury after transplantation.
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spelling pubmed-50317012016-10-06 An Algorithm Measuring Donor Cell-Free DNA in Plasma of Cellular and Solid Organ Transplant Recipients That Does Not Require Donor or Recipient Genotyping Gordon, Paul M. K. Khan, Aneal Sajid, Umair Chang, Nicholas Suresh, Varun Dimnik, Leo Lamont, Ryan E. Parboosingh, Jillian S. Martin, Steven R. Pon, Richard T. Weatherhead, Jene Wegener, Shelly Isaac, Debra Greenway, Steven C. Front Cardiovasc Med Cardiovascular Medicine Cell-free DNA (cfDNA) has significant potential in the diagnosis and monitoring of clinical conditions. However, accurately and easily distinguishing the relative proportion of DNA molecules in a mixture derived from two different sources (i.e., donor and recipient tissues after transplantation) is challenging. In human cellular transplantation, there is currently no useable method to detect in vivo engraftment, and blood-based non-invasive tests for allograft rejection in solid organ transplantation are either non-specific or absent. Elevated levels of donor cfDNA have been shown to correlate with solid organ rejection, but complex methodology limits implementation of this promising biomarker. We describe a cost-effective method to quantify donor cfDNA in recipient plasma using a panel of high-frequency single nucleotide polymorphisms, next-generation (semiconductor) sequencing, and a novel mixture model algorithm. In vitro, our method accurately and rapidly determined donor:recipient DNA admixture. For in vivo testing, donor cfDNA was serially quantified in an infant with a urea cycle disorder after receiving six daily infusions of donor liver cells. Donor cfDNA isolated from 1 to 2 ml of recipient plasma was detected as late as 24 weeks after infusion suggesting engraftment. The percentage of circulating donor cfDNA was also assessed in pediatric and adult heart transplant recipients undergoing routine endomyocardial biopsy with levels observed to be stable over time and generally measuring <1% in cases without moderate or severe cellular rejection. Unlike existing non-invasive methods used to define the proportion of donor cfDNA in solid organ transplant patients, our assay does not require sex mismatch, donor genotyping, or whole-genome sequencing and potentially has broad application to detect cellular engraftment or allograft injury after transplantation. Frontiers Media S.A. 2016-09-22 /pmc/articles/PMC5031701/ /pubmed/27713880 http://dx.doi.org/10.3389/fcvm.2016.00033 Text en Copyright © 2016 Gordon, Khan, Sajid, Chang, Suresh, Dimnik, Lamont, Parboosingh, Martin, Pon, Weatherhead, Wegener, Isaac and Greenway. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Gordon, Paul M. K.
Khan, Aneal
Sajid, Umair
Chang, Nicholas
Suresh, Varun
Dimnik, Leo
Lamont, Ryan E.
Parboosingh, Jillian S.
Martin, Steven R.
Pon, Richard T.
Weatherhead, Jene
Wegener, Shelly
Isaac, Debra
Greenway, Steven C.
An Algorithm Measuring Donor Cell-Free DNA in Plasma of Cellular and Solid Organ Transplant Recipients That Does Not Require Donor or Recipient Genotyping
title An Algorithm Measuring Donor Cell-Free DNA in Plasma of Cellular and Solid Organ Transplant Recipients That Does Not Require Donor or Recipient Genotyping
title_full An Algorithm Measuring Donor Cell-Free DNA in Plasma of Cellular and Solid Organ Transplant Recipients That Does Not Require Donor or Recipient Genotyping
title_fullStr An Algorithm Measuring Donor Cell-Free DNA in Plasma of Cellular and Solid Organ Transplant Recipients That Does Not Require Donor or Recipient Genotyping
title_full_unstemmed An Algorithm Measuring Donor Cell-Free DNA in Plasma of Cellular and Solid Organ Transplant Recipients That Does Not Require Donor or Recipient Genotyping
title_short An Algorithm Measuring Donor Cell-Free DNA in Plasma of Cellular and Solid Organ Transplant Recipients That Does Not Require Donor or Recipient Genotyping
title_sort algorithm measuring donor cell-free dna in plasma of cellular and solid organ transplant recipients that does not require donor or recipient genotyping
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031701/
https://www.ncbi.nlm.nih.gov/pubmed/27713880
http://dx.doi.org/10.3389/fcvm.2016.00033
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