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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 miRNA expression profi...

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Autores principales: Lu, Xiao-Guang, Kang, Xin, Zhan, Li-Bin, Kang, Li-Min, Fan, Zhi-Wei, Bai, Li-Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5685850/
https://www.ncbi.nlm.nih.gov/pubmed/29151698
http://dx.doi.org/10.3748/wjg.v23.i41.7440
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author Lu, Xiao-Guang
Kang, Xin
Zhan, Li-Bin
Kang, Li-Min
Fan, Zhi-Wei
Bai, Li-Zhi
author_facet Lu, Xiao-Guang
Kang, Xin
Zhan, Li-Bin
Kang, Li-Min
Fan, Zhi-Wei
Bai, Li-Zhi
author_sort Lu, Xiao-Guang
collection PubMed
description 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 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. RESULTS: 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. CONCLUSION: 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.
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spelling pubmed-56858502017-11-17 Circulating miRNAs as biomarkers for severe acute pancreatitis associated with acute lung injury Lu, Xiao-Guang Kang, Xin Zhan, Li-Bin Kang, Li-Min Fan, Zhi-Wei Bai, Li-Zhi World J Gastroenterol Observational Study 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 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. RESULTS: 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. CONCLUSION: 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. Baishideng Publishing Group Inc 2017-11-07 2017-11-07 /pmc/articles/PMC5685850/ /pubmed/29151698 http://dx.doi.org/10.3748/wjg.v23.i41.7440 Text en ©The Author(s) 2017. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Observational Study
Lu, Xiao-Guang
Kang, Xin
Zhan, Li-Bin
Kang, Li-Min
Fan, Zhi-Wei
Bai, Li-Zhi
Circulating miRNAs as biomarkers for severe acute pancreatitis associated with acute lung injury
title Circulating miRNAs as biomarkers for severe acute pancreatitis associated with acute lung injury
title_full Circulating miRNAs as biomarkers for severe acute pancreatitis associated with acute lung injury
title_fullStr Circulating miRNAs as biomarkers for severe acute pancreatitis associated with acute lung injury
title_full_unstemmed Circulating miRNAs as biomarkers for severe acute pancreatitis associated with acute lung injury
title_short Circulating miRNAs as biomarkers for severe acute pancreatitis associated with acute lung injury
title_sort circulating mirnas as biomarkers for severe acute pancreatitis associated with acute lung injury
topic Observational Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5685850/
https://www.ncbi.nlm.nih.gov/pubmed/29151698
http://dx.doi.org/10.3748/wjg.v23.i41.7440
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