| Literature DB >> 29227984 |
Cheukfai Li1,2,3, Qiang Zhao1,2,3, Wei Zhang1,2,3, Maogen Chen1,2,3, Weiqiang Ju1,2,3, Linwei Wu1,2,3, Ming Han1,2,3, Yi Ma1,2, Xiaofeng Zhu1,2,3, Dongping Wang1,2,3, Zhiyong Guo1,2,3, Xiaoshun He1,2,3.
Abstract
BACKGROUND Poor transplant outcome was observed in donation after brain death followed by circulatory death (DBCD), since the donor organs suffered both cytokine storm of brain death and warm ischemia injury. MicroRNAs (miRNAs) have emerged as promising disease biomarkers, so we sought to establish a miRNA signature of porcine DBCD and verify the findings in human liver transplantation. MATERIAL AND METHODS MiRNA expression was determined with miRNA sequencing in 3 types of the porcine model of organ donation, including donation after brain death (DBD) group, donation after circulatory death (DCD) group, and DBCD group. Bioinformatics analysis was performed to reveal the potential regulatory behavior of target miRNA. Human liver graft biopsy samples after reperfusion detected by fluorescence in situ hybridization were used to verify the expression of target miRNA. RESULTS We compared miRNA expression profiles of the 3 donation types. The porcine liver graft miR-146b was significantly increased and selected in the DBCD group versus in the DBD and DCD groups. The donor liver expression of human miR-146b-5p, which is homologous to porcine miR-146b, was further examined in 42 cases of human liver transplantations. High expression of miR-146b-5p successfully predicted the post-transplant early allograft dysfunction (EAD) with the area under the ROC curve (AUC) 0.759 (P=0.004). CONCLUSIONS Our results revealed the miRNA signature of DBCD liver grafts for the first time. The miR-146b-5p may have important clinical implications for monitoring liver graft function and predicating transplant outcomes.Entities:
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Year: 2017 PMID: 29227984 PMCID: PMC5736328 DOI: 10.12659/msm.907542
Source DB: PubMed Journal: Med Sci Monit ISSN: 1234-1010
Figure 1The study design of the experiment porcine model of DBD, DCD, and DBCD.
Figure 2Supervised hierarchical clustering of miRNA expression patterns classified by donation classification. (A) Hierarchical clustering of the miRNAs with differential expression between DBCD and DBD. (B) Hierarchical clustering of the miRNAs with differential expression between DBCD and DCD. The threshold value of differentially expressed miRNAs is fold change >2.0 or fold change <0.5 and p value <0.05.
Figure 3Volcano plot of differentially expressed miRNA in DBD vs. DBCD (A) and DCD versus DBCD (B). Horizontal axis represents fold change (log2 transformed). Vertical axis represents P value (−log10 transformed). Up-regulated miRNAs are shown in red and down-regulated miRNAs are shown in green.
Figure 4Comparison of miRNA expression in DBD vs. DBCD and DCD vs. DBCD. The Venn diagram shows the number of differentially expressed miRNAs. The overlapping section represents 4 shared miRNAs among the 2 comparison groups.
Figure 5The function prediction of miRNA-146b. GO and pathway analyses were performed based on the miRNA-146b-associated mRNAs. Top GO terms (A) and pathways (B) are shown in the figure. Dot color represents P value (−log10 transformed) and dot size represents quantity.
Figure 6miRNA-146b-5p expression increases in liver graft from recipients who develop EAD. (A) Representative FISH image of miRNA-146b-5p expression in EAD and IGF recipients’ liver grafts. (B) miRNA-146b-5p expression in EAD (n=22) and IGF (n=20) recipients’ liver grafts. (C) ROC curve for expression of miRNA-146b-5p with respect to recipients’ EAD.
miRNA sequences of miR-146b.
| miRNA ID | Sequence |
|---|---|
| ssc-miR-146b | ugagaacugaauuccauaggc |
| hsa-miR-146b-5p | ugagaacugaauuccauaggcu |