Published online Nov 7, 2017. doi: 10.3748/wjg.v23.i41.7440
Peer-review started: June 2, 2017
First decision: July 27, 2017
Revised: August 23, 2017
Accepted: September 20, 2017
Article in press: September 19, 2017
Published online: November 7, 2017
Processing time: 159 Days and 11.2 Hours
To identify circulating micro (mi)RNAs as biological markers for prediction of severe acute pancreatitis (SAP) with acute lung injury (ALI).
Twenty-four serum samples were respectively collected and classified as SAP associated with ALI and SAP without ALI, and the miRNA expression profiles were determined by microarray analysis. These miRNAs were validated by quantitative reverse transcription-polymerase chain reaction, and their putative targets were predicted by the online software TargetScan, miRanda and PicTar database. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (commonly known as KEGG) were used to predict their possible functions and pathways involved.
We investigated 287 miRNAs based on microarray data analysis. Twelve miRNAs were differentially expressed in the patients with SAP with ALI and those with SAP without ALI. Hsa-miR-1260b, 762, 22-3p, 23b and 23a were differently up-regulated and hsa-miR-550a*, 324-5p, 484, 331-3p, 140-3p, 342-3p and 150 were differently down-regulated in patients with SAP with ALI compared to those with SAP without ALI. In addition, 85 putative target genes of the significantly dysregulated miRNAs were found by TargetScan, miRanda and PicTar. Finally, GO and pathway network analysis showed that they were mainly enriched in signal transduction, metabolic processes, cytoplasm and cell membranes.
This is the first study to identify 12 circulating miRNAs in patients with SAP with ALI, which may be biomarkers for prediction of ALI after SAP.
Core tip: Early diagnosis of severe acute pancreatitis (SAP) associated with acute lung injury (ALI) is still difficult. Our study is the first to identify 12 differentially expressed circulating microRNAs in patients with SAP with ALI, which may be used as circulating biomarkers for prediction of acute lung injury induced by SAP.