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Identification of Potential MicroRNA-MRNA Regulatory Relationship Pairs in Irritable Bowel Syndrome with Diarrhea

肠易激综合征 小RNA 生物 计算生物学 基因 信使核糖核酸 相互作用体 基因调控网络 微阵列 生物信息学 腹泻 微阵列分析技术 基因表达调控 基因表达 遗传学 医学 内科学
作者
Wenli Yan,Zunqi Kan,Zhaofeng Li,Yuxia Ma,Dongqing Du
出处
期刊:Combinatorial Chemistry & High Throughput Screening [Bentham Science]
卷期号:26 (8): 1618-1628
标识
DOI:10.2174/1386207326666230109143325
摘要

Irritable bowel syndrome (IBS) is the most common gastrointestinal disease worldwide, with diarrhea-predominant irritable bowel syndrome (IBS-D) being the prevalent subtype. However, its pathogenesis remains unclear. Research has increasingly focused on identifying genetic factors in the mechanisms underlying IBS.We aimed to explore key gene nodes and potential microRNA-mRNA regulatory pairs of IBS-D using bioinformatics methods.We downloaded the GSE36701 microarray dataset from the Gene Expression Omnibus database and obtained 1358 differentially expressed mRNAs by analyzing mRNA profiles using the GEO2R analysis tool. Based on our previous study, we used TargetScan, miTarBase, and miRDB to predict the downstream genes of three known microRNAs (hsa-let-7b-5p, hsa-miR-19b-3p, and hsamiR- 20a-5p), and the microRNA-mRNA regulatory network was visualized using Cytoscape.A total of 795 downstream target genes were found in TargetScan, miRTarBase, and miRDB databases, and 50 candidate genes were obtained. The Metascape and STRING databases were used to perform enrichment analysis and construct a protein-protein interaction network of candidate genes. Finally, we constructed a network of 3 microRNAs and 50 candidate mRNAs, among which 28 negative relation ship pairs and 5 key axes (hsa-miR-20a-5p/VEGFA, hsa-let-7b- 5p/MSN, hsa-let-7b-5p /PPP1R16B, hsa-19b-3p/ITGA2, and hsa-19b-3p/PIK3R3) were identified.We report five novel microRNA-mRNA regulatory axes in IBS-D pathogenesis and speculated that PIK3R3, negatively regulated by hsa-miR-19b-3p, may regulate NF-κB production through the PI3K/Akt pathway, which accounts for the occurrence of clinical symptoms in IBS-D patients. Our findings may offer key biomarkers for IBS-D diagnosis and treatment.
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