Circulating miRNAs as biomarkers for severe acute pancreatitis associated with acute lung injury

AIM To identify circulating micro(mi)RNAs as biological markers for prediction of severe acute pancreatitis(SAP) with acute lung injury(ALI).METHODS Twenty-four serum samples were respectively collected and classified as SAP associated with ALI and SAP without ALI, and the mi RNA expression profiles...

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Veröffentlicht in:World journal of gastroenterology : WJG 2017-11, Vol.23 (41), p.7440-7449
Hauptverfasser: Lu, Xiao-Guang, Kang, Xin, Zhan, Li-Bin, Kang, Li-Min, Fan, Zhi-Wei, Bai, Li-Zhi
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Sprache:eng
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Zusammenfassung:AIM To identify circulating micro(mi)RNAs as biological markers for prediction of severe acute pancreatitis(SAP) with acute lung injury(ALI).METHODS Twenty-four serum samples were respectively collected and classified as SAP associated with ALI and SAP without ALI, and the mi RNA expression profiles were determined by microarray analysis. These mi RNAs were validated by quantitative reverse transcriptionpolymerase chain reaction, and their putative targets were predicted by the online software Target Scan, mi Randa and Pic Tar 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.RESULTS We investigated 287 mi RNAs based on microarray data analysis. Twelve mi RNAs were differentially expressed in the patients with SAP with ALI and those with SAP without ALI. Hsa-mi R-1260 b, 762, 22-3 p, 23 b and 23 a were differently up-regulated and hsa-mi R-550 a*, 324-5 p, 484, 331-3 p, 140-3 p, 342-3 p 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 mi RNAs were found by Target Scan, mi Randa and Pic Tar. Finally, GO and pathway network analysis showed that they were mainly enriched in signal transduction, metabolic processes, cytoplasm and cell membranes.CONCLUSION This is the first study to identify 12 circulating mi RNAs in patients with SAP with ALI, which may be biomarkers for prediction of ALI after SAP.
ISSN:1007-9327
2219-2840
DOI:10.3748/wjg.v23.i41.7440