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The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function

Donation after cardiac death (DCD) livers are marginal organs for transplant and their use is associated with a higher risk of primary non function (PNF) or early graft dysfunction (EGD). The aim was to determine if microRNA (miRNA) was able to discriminate between DCD livers of varying clinical out...

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Autores principales: Khorsandi, Shirin Elizabeth, Quaglia, Alberto, Salehi, Siamak, Jassem, Wayel, Vilca-Melendez, Hector, Prachalias, Andreas, Srinivasan, Parthi, Heaton, Nigel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433116/
https://www.ncbi.nlm.nih.gov/pubmed/25978529
http://dx.doi.org/10.1371/journal.pone.0127073
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author Khorsandi, Shirin Elizabeth
Quaglia, Alberto
Salehi, Siamak
Jassem, Wayel
Vilca-Melendez, Hector
Prachalias, Andreas
Srinivasan, Parthi
Heaton, Nigel
author_facet Khorsandi, Shirin Elizabeth
Quaglia, Alberto
Salehi, Siamak
Jassem, Wayel
Vilca-Melendez, Hector
Prachalias, Andreas
Srinivasan, Parthi
Heaton, Nigel
author_sort Khorsandi, Shirin Elizabeth
collection PubMed
description Donation after cardiac death (DCD) livers are marginal organs for transplant and their use is associated with a higher risk of primary non function (PNF) or early graft dysfunction (EGD). The aim was to determine if microRNA (miRNA) was able to discriminate between DCD livers of varying clinical outcome. DCD groups were categorized as PNF retransplanted within a week (n=7), good functional outcome (n=7) peak aspartate transaminase (AST) ≤ 1000 IU/L and EGD (n=9) peak AST ≥ 2500 IU/L. miRNA was extracted from archival formalin fixed post-perfusion tru-cut liver biopsies. High throughput expression analysis was performed using miRNA arrays. Bioinformatics for expression data analysis was performed and validated with real time quantitative PCR (RT-qPCR). The function of miRNA of interest was investigated using computational biology prediction algorithms. From the array analysis 16 miRNAs were identified as significantly different (p<0.05). On RT-qPCR miR-155 and miR-940 had the highest expression across all three DCD clinical groups. Only one miRNA, miR-22, was validated with marginal significance, to have differential expression between the three groups (p=0.049). From computational biology miR-22 was predicted to affect signalling pathways that impact protein turnover, metabolism and apoptosis/cell cycle. In conclusion, microRNA expression patterns have a low diagnostic potential clinically in discriminating DCD liver quality and outcome.
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spelling pubmed-44331162015-05-27 The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function Khorsandi, Shirin Elizabeth Quaglia, Alberto Salehi, Siamak Jassem, Wayel Vilca-Melendez, Hector Prachalias, Andreas Srinivasan, Parthi Heaton, Nigel PLoS One Research Article Donation after cardiac death (DCD) livers are marginal organs for transplant and their use is associated with a higher risk of primary non function (PNF) or early graft dysfunction (EGD). The aim was to determine if microRNA (miRNA) was able to discriminate between DCD livers of varying clinical outcome. DCD groups were categorized as PNF retransplanted within a week (n=7), good functional outcome (n=7) peak aspartate transaminase (AST) ≤ 1000 IU/L and EGD (n=9) peak AST ≥ 2500 IU/L. miRNA was extracted from archival formalin fixed post-perfusion tru-cut liver biopsies. High throughput expression analysis was performed using miRNA arrays. Bioinformatics for expression data analysis was performed and validated with real time quantitative PCR (RT-qPCR). The function of miRNA of interest was investigated using computational biology prediction algorithms. From the array analysis 16 miRNAs were identified as significantly different (p<0.05). On RT-qPCR miR-155 and miR-940 had the highest expression across all three DCD clinical groups. Only one miRNA, miR-22, was validated with marginal significance, to have differential expression between the three groups (p=0.049). From computational biology miR-22 was predicted to affect signalling pathways that impact protein turnover, metabolism and apoptosis/cell cycle. In conclusion, microRNA expression patterns have a low diagnostic potential clinically in discriminating DCD liver quality and outcome. Public Library of Science 2015-05-15 /pmc/articles/PMC4433116/ /pubmed/25978529 http://dx.doi.org/10.1371/journal.pone.0127073 Text en © 2015 Khorsandi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Khorsandi, Shirin Elizabeth
Quaglia, Alberto
Salehi, Siamak
Jassem, Wayel
Vilca-Melendez, Hector
Prachalias, Andreas
Srinivasan, Parthi
Heaton, Nigel
The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function
title The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function
title_full The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function
title_fullStr The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function
title_full_unstemmed The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function
title_short The microRNA Expression Profile in Donation after Cardiac Death (DCD) Livers and Its Ability to Identify Primary Non Function
title_sort microrna expression profile in donation after cardiac death (dcd) livers and its ability to identify primary non function
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433116/
https://www.ncbi.nlm.nih.gov/pubmed/25978529
http://dx.doi.org/10.1371/journal.pone.0127073
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