Identifying MiRNA-mRNA Regulation Network of Chronic Pancreatitis Based on the Significant Functional Expression

Overview

Journal Medicine (Baltimore)

Specialty General Medicine

Date 2017 May 25

PMID 28538367

Citations 17

Authors

Dan Wang

Lei Xin

Jin-Huan Lin

Zhuan Liao

Jun-Tao Ji

Ting-Ting Du

Fei Jiang

Zhao-Shen Li

Liang-Hao Hu

Affiliations

Soon will be listed here.

Abstract

Background: The aim of this study was to explore the underlying molecular mechanism and potential molecular biomarkers of chronic pancreatitis (CP) and construct a miRNA-mRNA regulation network.

Methods: To explore the involvement of miRNAs in CP, we downloaded the miRNA and mRNA expression profiles of CP patients and healthy controls and identified the differentially expressed miRNAs and genes. Functional analysis was conducted and significant pathways were utilized. Finally, the miRNA-mRNA regulation network of CP was constructed.

Results: A total of 44 miRNA risk gene pathway relationships were identified, and a complex regulation network was constructed with 3 genes (ABL1, MYC, and ANAPC13) having the highest degree in affecting the network of CP. Importantly, 4 risk genes (NOTCH3, COX5A, THBS1, and KARS) and 1 risk miRNA (hsa-miR-324-5p) were identified with high prediction accuracy.

Conclusions: In conclusion, we analyzed miRNAs and mRNAs expression profiles in CP, 1 risk miRNA, and 4 risk genes were identified with high prediction accuracy as biomarkers of CP. Although further evaluation in clinical study is needed, our findings provide new insights into the pathogenesis of CP and may improve the diagnosis and therapy by identifying novel targets.

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