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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.
Afiliação
  • Khorsandi SE; Institute of Liver Studies, King's College Hospital, London, United Kingdom.
  • Quaglia A; Institute of Liver Studies, King's College Hospital, London, United Kingdom.
  • Salehi S; Institute of Liver Studies, King's College Hospital, London, United Kingdom.
  • Jassem W; Institute of Liver Studies, King's College Hospital, London, United Kingdom.
  • Vilca-Melendez H; Institute of Liver Studies, King's College Hospital, London, United Kingdom.
  • Prachalias A; Institute of Liver Studies, King's College Hospital, London, United Kingdom.
  • Srinivasan P; Institute of Liver Studies, King's College Hospital, London, United Kingdom.
  • Heaton N; Institute of Liver Studies, King's College Hospital, London, United Kingdom.
PLoS One ; 10(5): e0127073, 2015.
Article em En | MEDLINE | ID: mdl-25978529
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs / Transcriptoma / Fígado Tipo de estudo: Prognostic_studies Limite: Adult / Humans / Middle aged Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs / Transcriptoma / Fígado Tipo de estudo: Prognostic_studies Limite: Adult / Humans / Middle aged Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Reino Unido